gcFit: Function to run growth curve fitting on several data sets...
In grofit: The package was developed to fit fit many growth curves obtained under different conditions.
Description
Usage
Arguments
Value
See Also
Examples
Description
The function serves to estimate several growth curves at once. The function calls the functions gcFitSpline, gcFitModel and gcBootSpline to generate estimates for growth parameters and respecting statistics.
Usage
1
gcFit(time, data, control = grofit.control())
Arguments
time
Numeric matrix, consisting of n columns for the time points and m rows for the different experiments.
data
Data frame consisting of 3+n columns, containing three coulumns of additional information and n columns of growth data corresponding to time. Format convention: 1. column, character as an experiment identifier; 2. column: character, additional information about respecting experiment; 3. column: concentration of substrate of a compound under which the experiment is obtained; 4.-(n+3). column: growth data corresponding to the time points in time.
control
Object of class grofit.control containing a list of options generated by the function grofit.control.
Value
Generates an object of class gcFit
raw.time
Raw time passed to the function as time.
raw.data
Raw time passed to the function as data.
gcTable
Table with characteristic growth values and related statistics related for each growth curve data provided to the function. This table, which is also returned by the generic summary.gcFit method applied to an gcFit object, is used as an input for drFit. 1. column: character, naming the experiment; 2. column: logical, indicating wether a logarithmic transformation was applied to concentration data; 3. column, logical, indicating wether a logarithmic transformation was applied to growth parameter; 4. column, numeric, number of bootstrap samples used; 5.-8. column: numeric, estimated EC50 value and respecting reponse value (5.-6.), also in original scale if a transformation is applied (7.-8.); 9.-10. column: numeric, mean and standard dev. from bootstrap sample; 11.-14. column: 90 and 95 percent confidence interval from bootstrap sample; 15. column: mean EC50 of bootstrap sample in original scale; 16.-19. 90 and 95 percent confidence interval in original scale.
gcFittedModels
All gcFitModel objects, generated by the call of gcFitModel. Note: access to each object via double brace: gcFittedModels[[#n]].
gcFittedSplines
All gcFitSpline objects, generated by the call of gcFitSpline. Note: access to each object via double brace: gcFittedSplines[[#n]].
gcBootSplines
All gcFitSpline objects, generated by the call of gcFitSpline. Note: access to each object via double brace: gcFittedSplines[[#n]].
control
Object of class grofit.control containing list of options passed to the function as control.
See Also
grofit, grofit.time, grofit.data, ran.data , summary.gcFit, plot.gcFit
Examples
1
2
3
4
5
6
7
8
9
Example output
= 1. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 2. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 3. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 4. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 5. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 6. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 7. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 8. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 9. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 10. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 11. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 12. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 13. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 14. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 15. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 16. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 17. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 18. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 19. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 20. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 21. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 22. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 23. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 24. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 25. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 26. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 27. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 28. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 29. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 30. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 31. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 32. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 33. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 34. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 35. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 36. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 37. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 38. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 39. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 40. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 41. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 42. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 43. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 44. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 45. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 46. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 47. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 48. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 49. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 50. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 51. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 52. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 53. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 54. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 55. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 56. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 57. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 58. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 59. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 60. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 61. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 62. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 63. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 64. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 65. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 66. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 67. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 68. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 69. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 70. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 71. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 72. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 73. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 74. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 75. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 76. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 77. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 78. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 79. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 80. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 81. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 82. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 83. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 84. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 85. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 86. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 87. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 88. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 89. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 90. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 91. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 92. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 93. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 94. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 95. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 96. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 97. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 98. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 99. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 100. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
TestId AddId concentration reliability used.model log.x log.y nboot.gc
1 Test I A 0.10819044 TRUE gompertz FALSE FALSE 0
2 Test I B 0.13956800 TRUE gompertz FALSE FALSE 0
3 Test I C 0.17046055 TRUE gompertz FALSE FALSE 0
4 Test I D 0.23043956 TRUE gompertz FALSE FALSE 0
5 Test I E 0.24176149 TRUE gompertz FALSE FALSE 0
6 Test I F 0.19496596 TRUE gompertz FALSE FALSE 0
7 Test I G 0.27857872 TRUE gompertz FALSE FALSE 0
8 Test I A 0.28030799 TRUE gompertz.exp FALSE FALSE 0
9 Test I B 0.29284060 TRUE gompertz FALSE FALSE 0
10 Test I C 0.34588960 TRUE gompertz FALSE FALSE 0
11 Test I D 0.40782434 TRUE gompertz FALSE FALSE 0
12 Test I E 0.40732277 TRUE gompertz FALSE FALSE 0
13 Test I F 0.48110677 TRUE gompertz.exp FALSE FALSE 0
14 Test I G 0.50739567 TRUE logistic FALSE FALSE 0
15 Test I A 0.46126455 TRUE gompertz FALSE FALSE 0
16 Test I B 0.51662060 TRUE gompertz FALSE FALSE 0
17 Test I C 0.51874369 TRUE logistic FALSE FALSE 0
18 Test I D 0.53563773 TRUE gompertz FALSE FALSE 0
19 Test I E 0.60765862 TRUE gompertz FALSE FALSE 0
20 Test I F 0.59287150 TRUE gompertz.exp FALSE FALSE 0
21 Test I G 0.66180587 TRUE logistic FALSE FALSE 0
22 Test I A 0.73057918 TRUE gompertz FALSE FALSE 0
23 Test I B 0.66894684 TRUE gompertz.exp FALSE FALSE 0
24 Test I C 0.77448810 TRUE gompertz FALSE FALSE 0
25 Test I D 0.72833920 TRUE gompertz.exp FALSE FALSE 0
26 Test I E 0.76313346 TRUE logistic FALSE FALSE 0
27 Test I F 0.85665900 TRUE richards FALSE FALSE 0
28 Test I G 0.84886856 TRUE logistic FALSE FALSE 0
29 Test I A 0.90637742 TRUE gompertz.exp FALSE FALSE 0
30 Test I B 0.93856566 TRUE gompertz FALSE FALSE 0
31 Test I C 0.89670790 TRUE gompertz FALSE FALSE 0
32 Test I D 0.92735829 TRUE logistic FALSE FALSE 0
33 Test I E 0.97286067 TRUE gompertz FALSE FALSE 0
34 Test II F 0.12777153 TRUE gompertz FALSE FALSE 0
35 Test II G 0.08184809 TRUE gompertz FALSE FALSE 0
36 Test II A 0.15613385 TRUE richards FALSE FALSE 0
37 Test II B 0.21555319 TRUE gompertz FALSE FALSE 0
38 Test II C 0.22839195 TRUE gompertz FALSE FALSE 0
39 Test II D 0.25105712 TRUE gompertz FALSE FALSE 0
40 Test II E 0.28980462 TRUE gompertz.exp FALSE FALSE 0
41 Test II F 0.29635455 TRUE gompertz.exp FALSE FALSE 0
42 Test II G 0.35936174 TRUE gompertz FALSE FALSE 0
43 Test II A 0.34751003 TRUE gompertz.exp FALSE FALSE 0
44 Test II B 0.41251489 TRUE gompertz FALSE FALSE 0
45 Test II C 0.42593853 TRUE gompertz FALSE FALSE 0
46 Test II D 0.44896880 TRUE gompertz FALSE FALSE 0
47 Test II E 0.49059980 TRUE gompertz FALSE FALSE 0
48 Test II F 0.47144864 TRUE gompertz FALSE FALSE 0
49 Test II G 0.48729313 TRUE gompertz FALSE FALSE 0
50 Test II A 0.54327622 TRUE gompertz FALSE FALSE 0
51 Test II B 0.53559728 TRUE logistic FALSE FALSE 0
52 Test II C 0.57363959 TRUE logistic FALSE FALSE 0
53 Test II D 0.66293518 TRUE gompertz FALSE FALSE 0
54 Test II E 0.62494369 TRUE gompertz FALSE FALSE 0
55 Test II F 0.71611553 TRUE gompertz FALSE FALSE 0
56 Test II G 0.71755175 TRUE gompertz FALSE FALSE 0
57 Test II A 0.77908793 TRUE gompertz FALSE FALSE 0
58 Test II B 0.75699470 TRUE logistic FALSE FALSE 0
59 Test II C 0.82151973 TRUE gompertz.exp FALSE FALSE 0
60 Test II D 0.79373795 TRUE logistic FALSE FALSE 0
61 Test II E 0.84411864 TRUE logistic FALSE FALSE 0
62 Test II F 0.86825652 TRUE logistic FALSE FALSE 0
63 Test II G 0.90973212 TRUE richards FALSE FALSE 0
64 Test II A 0.90569818 TRUE logistic FALSE FALSE 0
65 Test II B 0.93106257 TRUE gompertz.exp FALSE FALSE 0
66 Test II C 1.03678716 TRUE gompertz FALSE FALSE 0
67 Test III D 0.09084013 TRUE gompertz.exp FALSE FALSE 0
68 Test III E 0.07911395 TRUE richards FALSE FALSE 0
69 Test III F 0.14039261 TRUE gompertz FALSE FALSE 0
70 Test III G 0.16864957 TRUE gompertz FALSE FALSE 0
71 Test III A 0.22530572 TRUE richards FALSE FALSE 0
72 Test III B 0.21390037 TRUE logistic FALSE FALSE 0
73 Test III C 0.22506844 TRUE gompertz FALSE FALSE 0
74 Test III D 0.26156719 TRUE richards FALSE FALSE 0
75 Test III E 0.36110969 TRUE gompertz FALSE FALSE 0
76 Test III F 0.34770492 TRUE gompertz FALSE FALSE 0
77 Test III G 0.39094267 TRUE gompertz FALSE FALSE 0
78 Test III A 0.39397364 TRUE gompertz FALSE FALSE 0
79 Test III B 0.39856985 TRUE gompertz.exp FALSE FALSE 0
80 Test III C 0.44654984 TRUE gompertz FALSE FALSE 0
81 Test III D 0.46153608 TRUE gompertz FALSE FALSE 0
82 Test III E 0.48837279 TRUE gompertz FALSE FALSE 0
83 Test III F 0.55029863 TRUE gompertz FALSE FALSE 0
84 Test III G 0.53332175 TRUE gompertz FALSE FALSE 0
85 Test III A 0.63037917 TRUE logistic FALSE FALSE 0
86 Test III B 0.60906614 TRUE gompertz FALSE FALSE 0
87 Test III C 0.60182341 TRUE logistic FALSE FALSE 0
88 Test III D 0.65639281 TRUE gompertz FALSE FALSE 0
89 Test III E 0.70119753 TRUE gompertz.exp FALSE FALSE 0
90 Test III F 0.70955498 TRUE gompertz FALSE FALSE 0
91 Test III G 0.71946375 TRUE gompertz FALSE FALSE 0
92 Test III A 0.74601947 TRUE gompertz FALSE FALSE 0
93 Test III B 0.81754674 TRUE gompertz FALSE FALSE 0
94 Test III C 0.83270526 TRUE gompertz FALSE FALSE 0
95 Test III D 0.87999582 TRUE logistic FALSE FALSE 0
96 Test III E 0.92900159 TRUE logistic FALSE FALSE 0
97 Test III F 0.92697450 TRUE logistic FALSE FALSE 0
98 Test III G 0.90892251 TRUE logistic FALSE FALSE 0
99 Test III A 0.97994136 TRUE logistic FALSE FALSE 0
100 Test III B 1.03705863 TRUE logistic FALSE FALSE 0
mu.model lambda.model A.model integral.model stdmu.model stdlambda.model
1 0.9378589 5.340508 13.987664 167.76949 0.03406745 0.2384540
2 0.9589867 5.661461 13.540222 165.80777 0.03105243 0.2023648
3 0.9349756 5.812705 12.768630 150.53632 0.03887064 0.2551244
4 0.8484776 5.841665 12.140942 145.82109 0.03361220 0.2522992
5 0.7800749 5.692986 12.649947 138.29871 0.03425882 0.3059220
6 0.8780392 5.790243 12.726094 142.60881 0.03861579 0.2800686
7 0.7480280 5.671498 12.041809 136.55328 0.02001985 0.1852425
8 0.7315722 6.916780 8.692319 128.11233 0.04534577 0.6878012
9 0.7242126 5.694419 12.441564 134.73688 0.02143010 0.2100552
10 0.6874301 6.210685 10.556846 116.21520 0.03470458 0.3313715
11 0.5843989 6.159126 10.361355 99.83392 0.02500907 0.3055633
12 0.5887142 5.891628 10.651752 110.04557 0.03070997 0.3902608
13 0.4842734 6.855530 5.128761 93.56936 0.04284441 0.7168434
14 0.5684772 6.861346 7.442697 89.54780 0.03535967 0.4243186
15 0.5276863 6.139188 10.210558 93.19402 0.02345153 0.3426739
16 0.4370242 5.306208 9.789508 88.49042 0.02115699 0.4208292
17 0.5026098 6.674531 8.143399 91.39441 0.02484462 0.4069982
18 0.4724296 6.152795 8.909229 87.20572 0.01838935 0.3009708
19 0.3805839 6.639917 9.950995 72.54173 0.01529177 0.4387110
20 0.4167143 7.086979 3.825959 76.19427 0.06552258 1.0771794
21 0.3984509 7.682825 6.236231 65.49168 0.02231866 0.4563784
22 0.3459097 7.438965 7.104018 56.42074 0.02090049 0.4857016
23 0.2998900 6.086441 3.774049 68.95025 0.02632149 0.9553564
24 0.2702569 5.765117 7.615385 53.50150 0.01180322 0.5235875
25 0.3648070 9.019459 3.169392 57.55627 0.05906202 0.9936436
26 0.3874778 8.303652 4.807040 50.75745 0.03063142 0.5194407
27 0.4151513 11.583830 4.164058 44.38333 0.06745718 1.2090086
28 0.2675576 7.291697 4.886404 47.55467 0.02179204 0.7654925
29 0.9303836 11.868908 1.203079 44.68936 0.84947773 0.5781277
30 0.2049329 6.203676 6.876191 39.84827 0.02174755 1.5552410
31 0.2382873 6.708229 4.901739 41.76242 0.02026645 0.6864514
32 0.2511686 7.562100 3.739756 40.34228 0.03720896 1.1214734
33 0.1985385 6.589818 4.008862 34.53733 0.01848399 0.7431016
34 0.9279515 5.225209 13.247352 159.05959 0.03216993 0.2225996
35 0.9968685 5.154748 13.370359 169.82438 0.02933273 0.1799191
36 0.8755835 5.432365 12.589184 149.59713 0.03216776 0.2834556
37 0.7875932 5.420252 13.049236 149.68339 0.02613160 0.2316203
38 0.8239829 5.783565 12.149171 139.64055 0.02480733 0.1954228
39 0.7569611 5.744580 12.510650 136.08154 0.02782588 0.2557500
40 0.7823332 6.793313 9.738719 132.19230 0.03502132 0.4335123
41 0.7145416 6.473627 8.662895 133.46138 0.02620820 0.4209824
42 0.6279264 5.476600 11.743570 123.73733 0.02215014 0.2777194
43 0.7135485 7.786769 6.535725 114.27604 0.05540624 0.5780551
44 0.5611817 6.020270 11.040937 98.55270 0.02794773 0.3891247
45 0.5858981 6.451656 11.062405 102.89466 0.02013406 0.2612730
46 0.5596396 6.271988 10.299937 100.99708 0.01701050 0.2268505
47 0.5018106 6.093476 9.723130 89.20745 0.02365113 0.3620480
48 0.5314011 6.026837 9.898826 100.16092 0.02186125 0.3156116
49 0.4822798 5.775514 9.809549 93.67239 0.01664193 0.2791815
50 0.4597821 6.256696 8.969001 85.30697 0.02869806 0.4892671
51 0.5431814 7.671490 7.635539 83.68520 0.03086820 0.4177347
52 0.4499097 6.799758 7.993378 78.25405 0.02418255 0.4909857
53 0.3700197 6.702064 7.122364 64.15775 0.02511950 0.5253966
54 0.3836311 6.069107 7.933411 70.22733 0.01957147 0.4152353
55 0.3150467 5.372353 7.178348 64.07231 0.01926493 0.5492987
56 0.3244907 6.509814 7.013921 60.46922 0.01919015 0.5010912
57 0.2913638 6.682833 5.661184 50.02169 0.02552589 0.6802191
58 0.3386452 7.463837 5.080839 51.62771 0.02740824 0.6138835
59 0.3177562 10.113016 2.176923 49.08638 0.08735536 1.1902163
60 0.3183453 7.645077 5.361405 51.59510 0.02832087 0.7620379
61 0.2930030 7.708997 5.286234 46.49270 0.02027919 0.6567926
62 0.2791596 7.448533 4.647756 46.90636 0.03118158 0.9502028
63 0.2869918 9.545267 3.773139 42.20311 0.06294609 2.1014014
64 0.2064935 6.007241 4.179030 39.88547 0.02006131 0.9916813
65 2.5081114 10.944436 1.187058 41.00613 1.39409491 0.1726959
66 0.2242027 7.624368 2.987698 32.16470 0.04349390 1.1203116
67 0.9680709 6.176364 10.579087 167.51200 0.04113659 0.3833012
68 1.0228393 5.792795 13.586731 174.12507 0.02880888 0.2097335
69 0.9583100 5.679381 13.352285 156.92645 0.03099569 0.2025465
70 0.8859171 5.327380 12.868516 151.04300 0.03291753 0.2396151
71 0.8447556 5.979993 12.079004 138.32808 0.02749315 0.2485780
72 0.9101398 6.477809 11.688315 151.48691 0.04159867 0.3077217
73 0.8376519 5.863115 12.692172 142.46491 0.03366681 0.2610727
74 0.7733505 5.963657 11.853539 134.62149 0.02432632 0.2624917
75 0.6796869 6.084652 10.300754 112.89250 0.03559110 0.3372757
76 0.7086356 6.393489 10.824976 115.56948 0.02950819 0.2736920
77 0.6066129 5.698951 10.430541 114.49972 0.02211985 0.2614116
78 0.6206893 6.179102 10.233947 109.15691 0.02685225 0.2983433
79 0.6793002 7.565229 8.075787 110.70859 0.04139847 0.5390585
80 0.5391056 5.511530 9.916510 97.58678 0.03023414 0.4277270
81 0.5351723 6.244043 10.503077 97.32315 0.02589096 0.3778025
82 0.4790699 5.671128 9.874228 93.98112 0.02123257 0.3651357
83 0.4735000 6.969141 9.318820 79.33049 0.01636798 0.2705705
84 0.4421270 5.875827 9.925944 85.83473 0.01459496 0.2942875
85 0.4235297 7.398451 6.864341 70.90762 0.02456914 0.4836799
86 0.3714775 5.870920 9.548604 74.30409 0.01614340 0.4427252
87 0.4504992 7.015219 6.741337 72.11999 0.03027696 0.5216157
88 0.3627234 5.990228 7.469563 65.95990 0.02440005 0.5414827
89 0.3668865 7.514578 3.820640 58.70580 0.03155561 0.7619892
90 0.3055354 5.987028 7.483085 61.11994 0.01778669 0.5525364
91 0.3304524 6.639382 7.795340 57.00462 0.01781143 0.5008359
92 0.2827139 6.105960 7.433422 57.24217 0.01492997 0.5642687
93 0.2480560 5.198246 5.050510 48.57821 0.01577098 0.5201294
94 0.2809373 7.718699 7.842011 45.97432 0.01719655 0.7569939
95 0.2601287 7.837237 5.331283 43.80159 0.01812407 0.7849804
96 0.2572747 7.811761 3.880597 40.60868 0.02329387 0.6879361
97 0.2281720 6.446908 3.404316 38.22158 0.01779645 0.5946799
98 0.2362560 6.939703 3.533204 38.49385 0.02015734 0.6523851
99 0.2454801 6.398168 2.862322 39.13147 0.03598406 0.9342866
100 0.1915763 7.396526 3.032241 32.02075 0.02074991 0.8611767
stdA.model ci90.mu.model.lo ci90.mu.model.up ci90.lambda.model.lo
1 0.3157587 0.8818179 0.9938998 4.948252
2 0.2520965 0.9079055 1.0100680 5.328571
3 0.2871258 0.8710334 0.9989178 5.393025
4 0.2798875 0.7931856 0.9037697 5.426633
5 0.4369887 0.7237191 0.8364306 5.189744
6 0.3342097 0.8145162 0.9415622 5.329530
7 0.2392799 0.7150954 0.7809607 5.366774
8 1.8401208 0.6569784 0.8061660 5.785347
9 0.3283379 0.6889601 0.7594651 5.348879
10 0.3807086 0.6303410 0.7445191 5.665579
11 0.4357505 0.5432590 0.6255388 5.656474
12 0.5574072 0.5381963 0.6392321 5.249649
13 0.9178014 0.4137943 0.5547525 5.676322
14 0.2083535 0.5103106 0.6266439 6.163342
15 0.5741076 0.4891086 0.5662641 5.575490
16 0.7564410 0.4022210 0.4718274 4.613944
17 0.3027837 0.4617404 0.5434792 6.005018
18 0.3960290 0.4421791 0.5026800 5.657698
19 1.1994592 0.3554289 0.4057389 5.918238
20 1.0151389 0.3089297 0.5244990 5.315019
21 0.2823449 0.3617367 0.4351651 6.932083
22 0.7325890 0.3115284 0.3802910 6.639986
23 1.0043420 0.2565912 0.3431889 4.514880
24 1.2080589 0.2508406 0.2896732 4.903816
25 0.9037047 0.2676500 0.4619641 7.384915
26 0.1910098 0.3370891 0.4378665 7.449172
27 0.1771195 0.3041842 0.5261183 9.595010
28 0.4860154 0.2317097 0.3034055 6.032462
29 0.2338015 -0.4670073 2.3277745 10.917888
30 3.1980199 0.1691582 0.2407076 3.645304
31 0.6411964 0.2049490 0.2716256 5.579017
32 0.3712813 0.1899599 0.3123773 5.717277
33 0.5338365 0.1681324 0.2289447 5.367416
34 0.2585598 0.8750320 0.9808711 4.859033
35 0.1951735 0.9486161 1.0451208 4.858781
36 0.3636662 0.8226675 0.9284994 4.966080
37 0.3374919 0.7446067 0.8305797 5.039237
38 0.2323955 0.7831749 0.8647910 5.462094
39 0.3735272 0.7111875 0.8027347 5.323872
40 1.4412504 0.7247231 0.8399433 6.080185
41 0.9811216 0.6714291 0.7576540 5.781111
42 0.4276823 0.5914894 0.6643634 5.019751
43 0.9055255 0.6224052 0.8046918 6.835868
44 0.7329488 0.5152077 0.6071557 5.380160
45 0.4731854 0.5527776 0.6190187 6.021862
46 0.3336318 0.5316573 0.5876219 5.898819
47 0.5609234 0.4629045 0.5407167 5.497907
48 0.4518866 0.4954394 0.5673629 5.507656
49 0.4565285 0.4549038 0.5096558 5.316260
50 0.7195590 0.4125738 0.5069904 5.451852
51 0.2660499 0.4924032 0.5939596 6.984317
52 0.4622161 0.4101294 0.4896900 5.992086
53 0.6245080 0.3286981 0.4113412 5.837786
54 0.5882856 0.3514360 0.4158261 5.386045
55 0.7618952 0.2833559 0.3467375 4.468756
56 0.6803811 0.2929229 0.3560585 5.685519
57 0.6292907 0.2493737 0.3333539 5.563873
58 0.3029837 0.2935587 0.3837317 6.453999
59 0.6917283 0.1740566 0.4614558 8.155111
60 0.4883058 0.2717575 0.3649332 6.391525
61 0.4968152 0.2596437 0.3263622 6.628573
62 0.4739834 0.2278659 0.3304533 5.885450
63 0.3380458 0.1834455 0.3905381 6.088461
64 0.5499131 0.1734927 0.2394944 4.375925
65 0.1691948 0.2148252 4.8013975 10.660352
66 0.3522928 0.1526553 0.2957502 5.781455
67 0.9915201 0.9004013 1.0357406 5.545834
68 0.2471361 0.9754487 1.0702299 5.447784
69 0.2375026 0.9073221 1.0092979 5.346192
70 0.2841944 0.8317677 0.9400664 4.933213
71 0.3209569 0.7995294 0.8899818 5.571082
72 0.2177060 0.8417100 0.9785696 5.971607
73 0.3434093 0.7822700 0.8930338 5.433650
74 0.3402182 0.7333337 0.8133673 5.531858
75 0.3715644 0.6211395 0.7382342 5.529833
76 0.3291016 0.6600946 0.7571766 5.943266
77 0.3311396 0.5702257 0.6430001 5.268929
78 0.3813403 0.5765174 0.6648613 5.688327
79 1.6368672 0.6111997 0.7474006 6.678478
80 0.5578645 0.4893704 0.5888408 4.807919
81 0.6720404 0.4925816 0.5777629 5.622558
82 0.5890185 0.4441423 0.5139974 5.070479
83 0.4634234 0.4465746 0.5004253 6.524052
84 0.5903748 0.4181183 0.4661357 5.391724
85 0.3491468 0.3831135 0.4639459 6.602798
86 1.1460839 0.3449217 0.3980334 5.142637
87 0.3052127 0.4006936 0.5003048 6.157161
88 0.7357920 0.3225853 0.4028614 5.099489
89 0.8591891 0.3149776 0.4187955 6.261106
90 0.9702317 0.2762763 0.3347945 5.078106
91 0.9870814 0.3011526 0.3597522 5.815508
92 1.0868540 0.2581541 0.3072737 5.177738
93 0.4048723 0.2221127 0.2739993 4.342633
94 1.9140979 0.2526490 0.3092256 6.473444
95 0.7353140 0.2303146 0.2899428 6.545944
96 0.2538173 0.2189563 0.2955931 6.680106
97 0.1597508 0.1988968 0.2574472 5.468660
98 0.2022355 0.2030972 0.2694148 5.866529
99 0.1474147 0.1862863 0.3046739 4.861266
100 0.2494360 0.1574427 0.2257099 5.979890
ci90.lambda.model.up ci90.A.model.lo ci90.A.model.up ci95.mu.model.lo
1 5.732765 13.4682408 14.507087 0.8710867
2 5.994351 13.1255229 13.954920 0.8981240
3 6.232384 12.2963084 13.240952 0.8587892
4 6.256697 11.6805268 12.601357 0.7825977
5 6.196228 11.9311006 13.368793 0.7129276
6 6.250955 12.1763187 13.275868 0.8023522
7 5.976222 11.6481931 12.435424 0.7087891
8 8.048213 5.6653203 11.719318 0.6426945
9 6.039960 11.9014482 12.981680 0.6822096
10 6.755791 9.9305808 11.183112 0.6194091
11 6.661777 9.6445453 11.078164 0.5353811
12 6.533607 9.7348177 11.568687 0.5285226
13 8.034737 3.6189778 6.638544 0.4002984
14 7.559350 7.0999552 7.785438 0.4991723
15 6.702887 9.2661511 11.154965 0.4817213
16 5.998472 8.5451629 11.033854 0.3955565
17 7.344043 7.6453203 8.641478 0.4539143
18 6.647892 8.2577608 9.560696 0.4363864
19 7.361597 7.9778842 11.924105 0.3506120
20 8.858939 2.1560551 5.495862 0.2882900
21 8.433568 5.7717740 6.700689 0.3547063
22 8.237944 5.8989091 8.309127 0.3049448
23 7.658003 2.1219066 5.426192 0.2482999
24 6.626419 5.6281277 9.602641 0.2471226
25 10.654003 1.6827977 4.655986 0.2490455
26 9.158131 4.4928290 5.121251 0.3274402
27 13.572649 3.8726966 4.455420 0.2829352
28 8.550932 4.0869088 5.685899 0.2248452
29 12.819928 0.8184755 1.587683 -0.7345927
30 8.762047 1.6154482 12.136934 0.1623077
31 7.837442 3.8469713 5.956507 0.1985651
32 9.406924 3.1289979 4.350513 0.1782390
33 7.812220 3.1307007 4.887023 0.1623099
34 5.591386 12.8220210 13.672683 0.8648985
35 5.450715 13.0492983 13.691419 0.9393763
36 5.898649 11.9909532 13.187415 0.8125346
37 5.801267 12.4940615 13.604410 0.7363753
38 6.105035 11.7668806 12.531462 0.7753606
39 6.165289 11.8961972 13.125102 0.7024224
40 7.506441 7.3678621 12.109576 0.7136914
41 7.166143 7.0489501 10.276840 0.6631735
42 5.933448 11.0400331 12.447108 0.5845121
43 8.737669 5.0461357 8.025314 0.6049523
44 6.660380 9.8352363 12.246638 0.5064041
45 6.881450 10.2840155 11.840795 0.5464354
46 6.645157 9.7511128 10.848761 0.5262990
47 6.689045 8.8004106 10.645849 0.4554544
48 6.546018 9.1554728 10.642180 0.4885531
49 6.234768 9.0585592 10.560538 0.4496616
50 7.061541 7.7853267 10.152676 0.4035339
51 8.358664 7.1978872 8.073191 0.4826797
52 7.607429 7.2330323 8.753723 0.4025119
53 7.566341 6.0950484 8.149680 0.3207854
54 6.752169 6.9656814 8.901141 0.3452710
55 6.275949 5.9250307 8.431666 0.2772874
56 7.334109 5.8946944 8.133148 0.2868780
57 7.801793 4.6260005 6.696367 0.2413331
58 8.473675 4.5824305 5.579247 0.2849251
59 12.070922 1.0390295 3.314816 0.1465397
60 8.898629 4.5581422 6.164668 0.2628364
61 8.789421 4.4689733 6.103495 0.2532558
62 9.011617 3.8680533 5.427459 0.2180437
63 13.002072 3.2170540 4.329225 0.1636175
64 7.638556 3.2744232 5.083637 0.1671733
65 11.228521 0.9087327 1.465383 -0.2243147
66 9.467281 2.4081763 3.567220 0.1389547
67 6.806895 8.9480364 12.210138 0.8874432
68 6.137807 13.1801919 13.993270 0.9663739
69 6.012570 12.9615931 13.742977 0.8975585
70 5.721547 12.4010164 13.336016 0.8213987
71 6.388903 11.5510302 12.606978 0.7908690
72 6.984011 11.3301887 12.046441 0.8286064
73 6.292579 12.1272639 13.257081 0.7716650
74 6.395456 11.2938798 12.413198 0.7256709
75 6.639471 9.6895304 10.911977 0.6099283
76 6.843713 10.2836040 11.366348 0.6507996
77 6.128973 9.8858166 10.975266 0.5632580
78 6.669876 9.6066426 10.861252 0.5680589
79 8.451981 5.3831408 10.768434 0.5981592
80 6.215141 8.9988232 10.834197 0.4798467
81 6.865528 9.3975710 11.608584 0.4844260
82 6.271776 8.9052924 10.843163 0.4374540
83 7.414229 8.5564888 10.081152 0.4414187
84 6.359930 8.9547775 10.897111 0.4135209
85 8.194105 6.2899943 7.438687 0.3753742
86 6.599203 7.6632965 11.433912 0.3398365
87 7.873277 6.2392623 7.243412 0.3911564
88 6.880967 6.2591856 8.679941 0.3148993
89 8.768050 2.4072737 5.234006 0.3050376
90 6.895950 5.8870538 9.079116 0.2706735
91 7.463257 6.1715909 9.419089 0.2955420
92 7.034182 5.6455471 9.221297 0.2534512
93 6.053859 4.3844948 5.716525 0.2171449
94 8.963954 4.6933198 10.990702 0.2472320
95 9.128530 4.1216916 6.540875 0.2246055
96 8.943415 3.4630679 4.298127 0.2116187
97 7.425157 3.1415264 3.667106 0.1932910
98 8.012876 3.2005269 3.865882 0.1967476
99 7.935069 2.6198248 3.104819 0.1749513
100 8.813162 2.6219187 3.442563 0.1509065
ci95.mu.model.up ci95.lambda.model.lo ci95.lambda.model.up ci95.A.model.lo
1 1.0046311 4.873139 5.807878 13.3687768
2 1.0198495 5.264826 6.058096 13.0461125
3 1.0111621 5.312661 6.312748 12.2058637
4 0.9143576 5.347159 6.336172 11.5923622
5 0.8472222 5.093379 6.292593 11.7934492
6 0.9537261 5.241308 6.339177 12.0710426
7 0.7872669 5.308422 6.034573 11.5728199
8 0.8204499 5.568690 8.264870 5.0856823
9 0.7662156 5.282711 6.106128 11.7980218
10 0.7554510 5.561197 6.860173 9.8106576
11 0.6334167 5.560221 6.758030 9.5072838
12 0.6489057 5.126717 6.656539 9.5592344
13 0.5682485 5.450517 8.260543 3.3298703
14 0.6377822 6.029681 7.693010 7.0343239
15 0.5736513 5.467547 6.810829 9.0853072
16 0.4784919 4.481383 6.131033 8.3068839
17 0.5513052 5.876814 7.472247 7.5499434
18 0.5084727 5.562892 6.742698 8.1330117
19 0.4105558 5.780044 7.499791 7.6000545
20 0.5451386 4.975707 9.198251 1.8362863
21 0.4421955 6.788324 8.577327 5.6828353
22 0.3868747 6.486990 8.390940 5.6681436
23 0.3514802 4.213943 7.958940 1.8055389
24 0.2933912 4.738886 6.791349 5.2475891
25 0.4805686 7.071917 10.967000 1.3981308
26 0.4475154 7.285548 9.321755 4.4326609
27 0.5473673 9.214173 13.953486 3.8169039
28 0.3102700 5.791332 8.792063 3.9338140
29 2.5953600 10.735777 13.002038 0.7448280
30 0.2475581 3.155403 9.251948 0.6080719
31 0.2780096 5.362784 8.053674 3.6449944
32 0.3240981 5.364012 9.760188 3.0120443
33 0.2347671 5.133339 8.046297 2.9625422
34 0.9910046 4.788914 5.661505 12.7405747
35 1.0543607 4.802107 5.507390 12.9878187
36 0.9386323 4.876792 5.987938 11.8763983
37 0.8388112 4.966276 5.874228 12.3877515
38 0.8726053 5.400536 6.166593 11.6936760
39 0.8114998 5.243311 6.245850 11.7785362
40 0.8509750 5.943629 7.642997 6.9138683
41 0.7659096 5.648501 7.298752 6.7398968
42 0.6713407 4.932270 6.020930 10.9053131
43 0.8221447 6.653781 8.919757 4.7608952
44 0.6159593 5.257586 6.782954 9.6043574
45 0.6253609 5.939561 6.963751 10.1349621
46 0.5929802 5.827361 6.716615 9.6460188
47 0.5481668 5.383861 6.803090 8.6237198
48 0.5742492 5.408238 6.645436 9.0131286
49 0.5148980 5.228318 6.322710 8.9147527
50 0.5160303 5.297733 7.215660 7.5586656
51 0.6036831 6.852731 8.490250 7.1140814
52 0.4973075 5.837426 7.762090 7.0874342
53 0.4192539 5.672286 7.731841 5.8983284
54 0.4219911 5.255246 6.882968 6.7803714
55 0.3528059 4.295727 6.448978 5.6850337
56 0.3621034 5.527675 7.491953 5.6803744
57 0.3413946 5.349603 8.016062 4.4277739
58 0.3923653 6.260625 8.667049 4.4869906
59 0.4889727 7.780192 12.445840 0.8211351
60 0.3738542 6.151483 9.138671 4.4043258
61 0.3327502 6.421683 8.996310 4.3124765
62 0.3402755 5.586136 9.310931 3.7187485
63 0.4103661 5.426520 13.664013 3.1105696
64 0.2458137 4.063545 7.950936 3.1012005
65 5.2405374 10.605952 11.282920 0.8554363
66 0.3094508 5.428557 9.820179 2.2972040
67 1.0486987 5.425094 6.927635 8.6357076
68 1.0793047 5.381718 6.203873 13.1023441
69 1.0190616 5.282390 6.076372 12.8867798
70 0.9504354 4.857734 5.797025 12.3114951
71 0.8986422 5.492780 6.467205 11.4499288
72 0.9916732 5.874674 7.080943 11.2616113
73 0.9036388 5.351412 6.374817 12.0190900
74 0.8210300 5.449173 6.478141 11.1867110
75 0.7494454 5.423592 6.745713 9.5724877
76 0.7664717 5.857053 6.929926 10.1799371
77 0.6499678 5.186584 6.211318 9.7815077
78 0.6733197 5.594349 6.763855 9.4865204
79 0.7604412 6.508674 8.621784 4.8675276
80 0.5983645 4.673185 6.349875 8.8230959
81 0.5859185 5.503551 6.984536 9.1858782
82 0.5206857 4.955462 6.386794 8.7197516
83 0.5055812 6.438823 7.499459 8.4105104
84 0.4707332 5.299023 6.452630 8.7688094
85 0.4716852 6.450439 8.346464 6.1800130
86 0.4031186 5.003178 6.738661 7.3022800
87 0.5098420 5.992852 8.037586 6.1431203
88 0.4105475 4.928922 7.051534 6.0274112
89 0.4287355 6.021079 9.008077 2.1366291
90 0.3403973 4.904057 7.069999 5.5814308
91 0.3653628 5.657744 7.621021 5.8606602
92 0.3119767 4.999993 7.211926 5.3031881
93 0.2789671 4.178792 6.217700 4.2569600
94 0.3146425 6.234991 9.202407 4.0903789
95 0.2956519 6.298675 9.375799 3.8900677
96 0.3029307 6.463406 9.160115 3.3831155
97 0.2630530 5.281336 7.612481 3.0912049
98 0.2757644 5.661028 8.218377 3.1368228
99 0.3160088 4.566966 8.229369 2.5733891
100 0.2322461 5.708620 9.084432 2.5433464
ci95.A.model.up mu.spline lambda.spline A.spline integral.spline mu.bt
1 14.606551 0.9172126 5.233526 13.196582 167.59359 NA
2 14.034331 0.9136487 5.403675 12.890219 165.93383 NA
3 13.331397 1.7197468 8.965615 12.300898 151.02164 NA
4 12.689521 0.9137598 6.259984 11.590390 146.49860 NA
5 13.506445 0.8054369 5.987896 11.437253 138.98597 NA
6 13.381144 0.8829238 5.842614 11.758124 142.75675 NA
7 12.510797 0.7205557 5.510615 11.160604 136.49258 NA
8 12.298956 0.7464378 5.802984 10.911477 128.13506 NA
9 13.085106 1.7237595 7.518742 11.047957 134.89954 NA
10 11.303035 0.6528788 5.917204 9.827459 116.24600 NA
11 11.215426 0.5833841 6.247299 8.950097 100.39989 NA
12 11.744270 0.5609833 5.565046 9.491514 110.14708 NA
13 6.927652 1.1671877 18.688504 8.352321 93.07814 NA
14 7.851070 0.5421077 6.530984 7.427296 89.38250 NA
15 11.335809 1.4245487 5.714048 8.592761 91.82037 NA
16 11.272133 0.4496364 5.375440 7.895672 88.71463 NA
17 8.736855 0.4679079 6.085409 7.747490 91.07170 NA
18 9.685445 0.4669552 6.219867 7.517892 87.42623 NA
19 12.301935 0.4110586 6.831589 7.088894 72.48600 NA
20 5.815631 0.4136038 5.785047 7.015330 76.29355 NA
21 6.789627 0.3796532 7.301240 5.996584 65.51015 NA
22 8.539893 0.3535045 7.628651 5.630275 56.84291 NA
23 5.742559 0.3332575 5.083379 6.280282 69.06907 NA
24 9.983180 0.2607566 5.648748 5.128576 53.22919 NA
25 4.940653 0.3927232 7.573257 5.575532 57.59668 NA
26 5.181419 0.3671392 7.983238 4.673608 51.36690 NA
27 4.511212 0.9823517 15.136654 4.421732 44.66348 NA
28 5.838994 0.2427859 6.463075 4.423130 47.49858 NA
29 1.661330 0.6404569 10.347198 3.978803 43.97124 NA
30 13.144310 0.1958572 5.789887 3.813515 39.93424 NA
31 6.158484 0.2280948 6.367821 3.979071 42.24532 NA
32 4.467467 0.8482566 13.860540 3.572817 40.54811 NA
33 5.055181 0.1874265 6.117878 3.330598 34.64018 NA
34 13.754129 0.9155584 5.172038 12.654310 159.18192 NA
35 13.752899 0.9644274 5.114005 12.803105 169.95478 NA
36 13.301970 0.9572623 5.885621 11.835027 149.65489 NA
37 13.710720 0.7834346 5.506484 11.891961 149.99807 NA
38 12.604666 0.9508525 6.479988 11.419254 139.75469 NA
39 13.242763 0.7652170 5.916361 11.152076 136.32756 NA
40 12.563570 0.8219640 6.393570 10.554859 132.30938 NA
41 10.585894 1.1309728 9.315012 11.124960 132.62006 NA
42 12.581828 0.6315723 5.799321 10.127598 124.03965 NA
43 8.310555 0.8002754 7.180954 10.190125 114.27671 NA
44 12.477517 1.6478817 19.053532 9.846968 97.14881 NA
45 11.989849 0.5927046 6.592521 9.383936 103.26927 NA
46 10.953855 0.6784087 7.321477 8.620672 101.11688 NA
47 10.822540 0.5466017 6.470792 8.232182 89.14885 NA
48 10.784524 0.5370511 6.136856 8.596331 100.49813 NA
49 10.704345 0.5485025 6.707394 8.303837 93.80718 NA
50 10.379337 0.4592913 6.349464 7.634993 85.54762 NA
51 8.156997 0.5221053 7.185754 7.352830 83.53417 NA
52 8.899321 0.4021276 5.702590 7.342626 78.01912 NA
53 8.346400 0.3617212 6.609257 5.982305 64.50817 NA
54 9.086451 0.7973926 9.171458 6.533956 70.58971 NA
55 8.671663 0.3225931 5.981850 5.535325 64.15237 NA
56 8.347468 0.4318745 8.378330 5.588385 60.69726 NA
57 6.894594 0.9978967 9.860084 4.732999 50.06419 NA
58 5.674687 0.3237480 7.179110 4.886002 51.33863 NA
59 3.532710 0.2977082 7.381182 4.432849 49.11636 NA
60 6.318485 0.2879933 6.823051 4.904258 51.92240 NA
61 6.259992 0.2914022 7.539738 4.686553 46.59903 NA
62 5.576764 0.2832750 7.266532 4.401168 47.00522 NA
63 4.435709 1.1164335 18.961675 3.994587 41.29547 NA
64 5.256860 0.2082431 6.280898 3.594396 40.23913 NA
65 1.518680 0.2868373 7.399747 4.013286 40.98284 NA
66 3.678192 0.1941687 6.790758 2.800182 32.55540 NA
67 12.522466 1.0798719 5.854259 13.157790 167.71637 NA
68 14.071118 1.1122447 6.157175 13.092816 174.29352 NA
69 13.817790 1.2214625 6.625108 12.551005 156.91033 NA
70 13.425537 0.9292247 5.493299 11.909772 152.18476 NA
71 12.708080 1.0166825 8.093835 11.602960 138.79462 NA
72 12.115019 1.1565432 7.299837 11.803486 151.30269 NA
73 13.365255 0.8508951 5.904376 11.983968 142.17241 NA
74 12.520366 0.9444587 7.362605 11.274776 134.62581 NA
75 11.029020 0.7470441 6.778241 9.416127 114.09759 NA
76 11.470015 0.6902367 6.222626 9.862996 115.65830 NA
77 11.079575 0.6229043 5.889414 9.405741 114.83569 NA
78 10.981374 0.6407155 6.286197 9.305396 109.26235 NA
79 11.284047 1.1191941 8.119907 9.154943 110.70805 NA
80 11.009925 0.5281413 5.492565 8.574707 97.83417 NA
81 11.820277 0.5109501 5.970404 8.822752 97.34181 NA
82 11.028704 0.4708947 5.789422 8.067556 94.09118 NA
83 10.227130 0.4663896 6.818938 7.690494 79.23565 NA
84 11.083079 0.4289736 5.496885 7.769650 85.96406 NA
85 7.548669 0.6286653 9.076234 6.253064 71.43604 NA
86 11.794929 0.3831971 5.926285 7.030209 74.54449 NA
87 7.339554 0.4081132 6.138358 6.538803 71.89261 NA
88 8.911716 1.0044956 13.849608 5.946715 67.25486 NA
89 5.504650 0.3854178 6.937679 5.666016 58.77009 NA
90 9.384739 0.7338691 10.874126 5.489550 61.33780 NA
91 9.730019 0.3201223 6.353958 5.728954 56.88722 NA
92 9.563656 1.3215115 8.265277 5.534667 56.55798 NA
93 5.844059 0.2366713 4.836172 4.262273 48.67279 NA
94 11.593643 0.7100613 18.177815 5.065770 46.74227 NA
95 6.772499 0.6512171 11.826212 4.227905 43.94272 NA
96 4.378079 0.2575218 7.884904 3.729857 40.82195 NA
97 3.717428 1.0009541 7.468672 3.291732 38.66708 NA
98 3.929586 0.8884121 7.683021 3.473917 39.01378 NA
99 3.151255 0.2290888 5.996279 2.983913 39.39414 NA
100 3.521135 1.0656312 9.327060 3.069899 31.22255 NA
lambda.bt A.bt integral.bt stdmu.bt stdlambda.bt stdA.bt stdintegral.bt
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ci90.A.bt.lo ci90.A.bt.up ci90.integral.bt.lo ci90.integral.bt.up
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dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
grofit documentation built on May 30, 2017, 4:08 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value See Also Examples
Description
The function serves to estimate several growth curves at once. The function calls the functions gcFitSpline, gcFitModel and gcBootSpline to generate estimates for growth parameters and respecting statistics.
Usage
1 | gcFit(time, data, control = grofit.control())
|
Arguments
time |
Numeric matrix, consisting of n columns for the time points and m rows for the different experiments. |
data |
Data frame consisting of 3+n columns, containing three coulumns of additional information and n columns of growth data corresponding to |
control |
Object of class |
Value
Generates an object of class gcFit
raw.time |
Raw time passed to the function as |
raw.data |
Raw time passed to the function as |
gcTable |
Table with characteristic growth values and related statistics related for each growth curve data provided to the function. This table, which is also returned by the generic |
gcFittedModels |
All |
gcFittedSplines |
All |
gcBootSplines |
All |
control |
Object of class |
See Also
grofit, grofit.time, grofit.data, ran.data , summary.gcFit, plot.gcFit
Examples
1 2 3 4 5 6 7 8 9 |
Example output
= 1. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 2. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 3. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 4. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 5. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 6. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 7. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 8. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 9. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 10. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 11. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 12. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 13. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 14. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 15. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 16. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 17. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 18. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 19. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 20. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 21. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 22. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 23. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 24. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 25. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 26. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 27. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 28. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 29. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 30. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 31. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 32. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 33. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 34. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 35. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 36. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 37. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 38. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 39. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 40. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 41. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 42. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 43. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 44. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 45. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 46. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 47. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 48. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 49. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 50. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 51. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 52. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 53. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 54. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 55. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 56. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 57. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 58. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 59. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 60. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 61. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 62. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 63. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 64. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 65. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 66. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 67. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 68. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 69. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 70. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 71. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 72. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 73. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 74. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 75. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 76. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 77. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 78. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 79. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 80. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 81. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 82. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 83. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 84. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 85. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 86. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 87. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 88. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 89. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 90. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 91. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 92. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 93. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 94. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 95. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 96. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 97. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 98. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 99. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... ERROR in nls(). For further information see help(gcFitModel)
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... ERROR in nls(). For further information see help(gcFitModel)
Are you satisfied (y/n)?
Well was (more ore less) o.k.
= 100. growth curve =================================
----------------------------------------------------
--> Try to fit model logistic....... OK
--> Try to fit model richards....... OK
--> Try to fit model gompertz....... OK
--> Try to fit model gompertz.exp... OK
Are you satisfied (y/n)?
Well was (more ore less) o.k.
TestId AddId concentration reliability used.model log.x log.y nboot.gc
1 Test I A 0.10819044 TRUE gompertz FALSE FALSE 0
2 Test I B 0.13956800 TRUE gompertz FALSE FALSE 0
3 Test I C 0.17046055 TRUE gompertz FALSE FALSE 0
4 Test I D 0.23043956 TRUE gompertz FALSE FALSE 0
5 Test I E 0.24176149 TRUE gompertz FALSE FALSE 0
6 Test I F 0.19496596 TRUE gompertz FALSE FALSE 0
7 Test I G 0.27857872 TRUE gompertz FALSE FALSE 0
8 Test I A 0.28030799 TRUE gompertz.exp FALSE FALSE 0
9 Test I B 0.29284060 TRUE gompertz FALSE FALSE 0
10 Test I C 0.34588960 TRUE gompertz FALSE FALSE 0
11 Test I D 0.40782434 TRUE gompertz FALSE FALSE 0
12 Test I E 0.40732277 TRUE gompertz FALSE FALSE 0
13 Test I F 0.48110677 TRUE gompertz.exp FALSE FALSE 0
14 Test I G 0.50739567 TRUE logistic FALSE FALSE 0
15 Test I A 0.46126455 TRUE gompertz FALSE FALSE 0
16 Test I B 0.51662060 TRUE gompertz FALSE FALSE 0
17 Test I C 0.51874369 TRUE logistic FALSE FALSE 0
18 Test I D 0.53563773 TRUE gompertz FALSE FALSE 0
19 Test I E 0.60765862 TRUE gompertz FALSE FALSE 0
20 Test I F 0.59287150 TRUE gompertz.exp FALSE FALSE 0
21 Test I G 0.66180587 TRUE logistic FALSE FALSE 0
22 Test I A 0.73057918 TRUE gompertz FALSE FALSE 0
23 Test I B 0.66894684 TRUE gompertz.exp FALSE FALSE 0
24 Test I C 0.77448810 TRUE gompertz FALSE FALSE 0
25 Test I D 0.72833920 TRUE gompertz.exp FALSE FALSE 0
26 Test I E 0.76313346 TRUE logistic FALSE FALSE 0
27 Test I F 0.85665900 TRUE richards FALSE FALSE 0
28 Test I G 0.84886856 TRUE logistic FALSE FALSE 0
29 Test I A 0.90637742 TRUE gompertz.exp FALSE FALSE 0
30 Test I B 0.93856566 TRUE gompertz FALSE FALSE 0
31 Test I C 0.89670790 TRUE gompertz FALSE FALSE 0
32 Test I D 0.92735829 TRUE logistic FALSE FALSE 0
33 Test I E 0.97286067 TRUE gompertz FALSE FALSE 0
34 Test II F 0.12777153 TRUE gompertz FALSE FALSE 0
35 Test II G 0.08184809 TRUE gompertz FALSE FALSE 0
36 Test II A 0.15613385 TRUE richards FALSE FALSE 0
37 Test II B 0.21555319 TRUE gompertz FALSE FALSE 0
38 Test II C 0.22839195 TRUE gompertz FALSE FALSE 0
39 Test II D 0.25105712 TRUE gompertz FALSE FALSE 0
40 Test II E 0.28980462 TRUE gompertz.exp FALSE FALSE 0
41 Test II F 0.29635455 TRUE gompertz.exp FALSE FALSE 0
42 Test II G 0.35936174 TRUE gompertz FALSE FALSE 0
43 Test II A 0.34751003 TRUE gompertz.exp FALSE FALSE 0
44 Test II B 0.41251489 TRUE gompertz FALSE FALSE 0
45 Test II C 0.42593853 TRUE gompertz FALSE FALSE 0
46 Test II D 0.44896880 TRUE gompertz FALSE FALSE 0
47 Test II E 0.49059980 TRUE gompertz FALSE FALSE 0
48 Test II F 0.47144864 TRUE gompertz FALSE FALSE 0
49 Test II G 0.48729313 TRUE gompertz FALSE FALSE 0
50 Test II A 0.54327622 TRUE gompertz FALSE FALSE 0
51 Test II B 0.53559728 TRUE logistic FALSE FALSE 0
52 Test II C 0.57363959 TRUE logistic FALSE FALSE 0
53 Test II D 0.66293518 TRUE gompertz FALSE FALSE 0
54 Test II E 0.62494369 TRUE gompertz FALSE FALSE 0
55 Test II F 0.71611553 TRUE gompertz FALSE FALSE 0
56 Test II G 0.71755175 TRUE gompertz FALSE FALSE 0
57 Test II A 0.77908793 TRUE gompertz FALSE FALSE 0
58 Test II B 0.75699470 TRUE logistic FALSE FALSE 0
59 Test II C 0.82151973 TRUE gompertz.exp FALSE FALSE 0
60 Test II D 0.79373795 TRUE logistic FALSE FALSE 0
61 Test II E 0.84411864 TRUE logistic FALSE FALSE 0
62 Test II F 0.86825652 TRUE logistic FALSE FALSE 0
63 Test II G 0.90973212 TRUE richards FALSE FALSE 0
64 Test II A 0.90569818 TRUE logistic FALSE FALSE 0
65 Test II B 0.93106257 TRUE gompertz.exp FALSE FALSE 0
66 Test II C 1.03678716 TRUE gompertz FALSE FALSE 0
67 Test III D 0.09084013 TRUE gompertz.exp FALSE FALSE 0
68 Test III E 0.07911395 TRUE richards FALSE FALSE 0
69 Test III F 0.14039261 TRUE gompertz FALSE FALSE 0
70 Test III G 0.16864957 TRUE gompertz FALSE FALSE 0
71 Test III A 0.22530572 TRUE richards FALSE FALSE 0
72 Test III B 0.21390037 TRUE logistic FALSE FALSE 0
73 Test III C 0.22506844 TRUE gompertz FALSE FALSE 0
74 Test III D 0.26156719 TRUE richards FALSE FALSE 0
75 Test III E 0.36110969 TRUE gompertz FALSE FALSE 0
76 Test III F 0.34770492 TRUE gompertz FALSE FALSE 0
77 Test III G 0.39094267 TRUE gompertz FALSE FALSE 0
78 Test III A 0.39397364 TRUE gompertz FALSE FALSE 0
79 Test III B 0.39856985 TRUE gompertz.exp FALSE FALSE 0
80 Test III C 0.44654984 TRUE gompertz FALSE FALSE 0
81 Test III D 0.46153608 TRUE gompertz FALSE FALSE 0
82 Test III E 0.48837279 TRUE gompertz FALSE FALSE 0
83 Test III F 0.55029863 TRUE gompertz FALSE FALSE 0
84 Test III G 0.53332175 TRUE gompertz FALSE FALSE 0
85 Test III A 0.63037917 TRUE logistic FALSE FALSE 0
86 Test III B 0.60906614 TRUE gompertz FALSE FALSE 0
87 Test III C 0.60182341 TRUE logistic FALSE FALSE 0
88 Test III D 0.65639281 TRUE gompertz FALSE FALSE 0
89 Test III E 0.70119753 TRUE gompertz.exp FALSE FALSE 0
90 Test III F 0.70955498 TRUE gompertz FALSE FALSE 0
91 Test III G 0.71946375 TRUE gompertz FALSE FALSE 0
92 Test III A 0.74601947 TRUE gompertz FALSE FALSE 0
93 Test III B 0.81754674 TRUE gompertz FALSE FALSE 0
94 Test III C 0.83270526 TRUE gompertz FALSE FALSE 0
95 Test III D 0.87999582 TRUE logistic FALSE FALSE 0
96 Test III E 0.92900159 TRUE logistic FALSE FALSE 0
97 Test III F 0.92697450 TRUE logistic FALSE FALSE 0
98 Test III G 0.90892251 TRUE logistic FALSE FALSE 0
99 Test III A 0.97994136 TRUE logistic FALSE FALSE 0
100 Test III B 1.03705863 TRUE logistic FALSE FALSE 0
mu.model lambda.model A.model integral.model stdmu.model stdlambda.model
1 0.9378589 5.340508 13.987664 167.76949 0.03406745 0.2384540
2 0.9589867 5.661461 13.540222 165.80777 0.03105243 0.2023648
3 0.9349756 5.812705 12.768630 150.53632 0.03887064 0.2551244
4 0.8484776 5.841665 12.140942 145.82109 0.03361220 0.2522992
5 0.7800749 5.692986 12.649947 138.29871 0.03425882 0.3059220
6 0.8780392 5.790243 12.726094 142.60881 0.03861579 0.2800686
7 0.7480280 5.671498 12.041809 136.55328 0.02001985 0.1852425
8 0.7315722 6.916780 8.692319 128.11233 0.04534577 0.6878012
9 0.7242126 5.694419 12.441564 134.73688 0.02143010 0.2100552
10 0.6874301 6.210685 10.556846 116.21520 0.03470458 0.3313715
11 0.5843989 6.159126 10.361355 99.83392 0.02500907 0.3055633
12 0.5887142 5.891628 10.651752 110.04557 0.03070997 0.3902608
13 0.4842734 6.855530 5.128761 93.56936 0.04284441 0.7168434
14 0.5684772 6.861346 7.442697 89.54780 0.03535967 0.4243186
15 0.5276863 6.139188 10.210558 93.19402 0.02345153 0.3426739
16 0.4370242 5.306208 9.789508 88.49042 0.02115699 0.4208292
17 0.5026098 6.674531 8.143399 91.39441 0.02484462 0.4069982
18 0.4724296 6.152795 8.909229 87.20572 0.01838935 0.3009708
19 0.3805839 6.639917 9.950995 72.54173 0.01529177 0.4387110
20 0.4167143 7.086979 3.825959 76.19427 0.06552258 1.0771794
21 0.3984509 7.682825 6.236231 65.49168 0.02231866 0.4563784
22 0.3459097 7.438965 7.104018 56.42074 0.02090049 0.4857016
23 0.2998900 6.086441 3.774049 68.95025 0.02632149 0.9553564
24 0.2702569 5.765117 7.615385 53.50150 0.01180322 0.5235875
25 0.3648070 9.019459 3.169392 57.55627 0.05906202 0.9936436
26 0.3874778 8.303652 4.807040 50.75745 0.03063142 0.5194407
27 0.4151513 11.583830 4.164058 44.38333 0.06745718 1.2090086
28 0.2675576 7.291697 4.886404 47.55467 0.02179204 0.7654925
29 0.9303836 11.868908 1.203079 44.68936 0.84947773 0.5781277
30 0.2049329 6.203676 6.876191 39.84827 0.02174755 1.5552410
31 0.2382873 6.708229 4.901739 41.76242 0.02026645 0.6864514
32 0.2511686 7.562100 3.739756 40.34228 0.03720896 1.1214734
33 0.1985385 6.589818 4.008862 34.53733 0.01848399 0.7431016
34 0.9279515 5.225209 13.247352 159.05959 0.03216993 0.2225996
35 0.9968685 5.154748 13.370359 169.82438 0.02933273 0.1799191
36 0.8755835 5.432365 12.589184 149.59713 0.03216776 0.2834556
37 0.7875932 5.420252 13.049236 149.68339 0.02613160 0.2316203
38 0.8239829 5.783565 12.149171 139.64055 0.02480733 0.1954228
39 0.7569611 5.744580 12.510650 136.08154 0.02782588 0.2557500
40 0.7823332 6.793313 9.738719 132.19230 0.03502132 0.4335123
41 0.7145416 6.473627 8.662895 133.46138 0.02620820 0.4209824
42 0.6279264 5.476600 11.743570 123.73733 0.02215014 0.2777194
43 0.7135485 7.786769 6.535725 114.27604 0.05540624 0.5780551
44 0.5611817 6.020270 11.040937 98.55270 0.02794773 0.3891247
45 0.5858981 6.451656 11.062405 102.89466 0.02013406 0.2612730
46 0.5596396 6.271988 10.299937 100.99708 0.01701050 0.2268505
47 0.5018106 6.093476 9.723130 89.20745 0.02365113 0.3620480
48 0.5314011 6.026837 9.898826 100.16092 0.02186125 0.3156116
49 0.4822798 5.775514 9.809549 93.67239 0.01664193 0.2791815
50 0.4597821 6.256696 8.969001 85.30697 0.02869806 0.4892671
51 0.5431814 7.671490 7.635539 83.68520 0.03086820 0.4177347
52 0.4499097 6.799758 7.993378 78.25405 0.02418255 0.4909857
53 0.3700197 6.702064 7.122364 64.15775 0.02511950 0.5253966
54 0.3836311 6.069107 7.933411 70.22733 0.01957147 0.4152353
55 0.3150467 5.372353 7.178348 64.07231 0.01926493 0.5492987
56 0.3244907 6.509814 7.013921 60.46922 0.01919015 0.5010912
57 0.2913638 6.682833 5.661184 50.02169 0.02552589 0.6802191
58 0.3386452 7.463837 5.080839 51.62771 0.02740824 0.6138835
59 0.3177562 10.113016 2.176923 49.08638 0.08735536 1.1902163
60 0.3183453 7.645077 5.361405 51.59510 0.02832087 0.7620379
61 0.2930030 7.708997 5.286234 46.49270 0.02027919 0.6567926
62 0.2791596 7.448533 4.647756 46.90636 0.03118158 0.9502028
63 0.2869918 9.545267 3.773139 42.20311 0.06294609 2.1014014
64 0.2064935 6.007241 4.179030 39.88547 0.02006131 0.9916813
65 2.5081114 10.944436 1.187058 41.00613 1.39409491 0.1726959
66 0.2242027 7.624368 2.987698 32.16470 0.04349390 1.1203116
67 0.9680709 6.176364 10.579087 167.51200 0.04113659 0.3833012
68 1.0228393 5.792795 13.586731 174.12507 0.02880888 0.2097335
69 0.9583100 5.679381 13.352285 156.92645 0.03099569 0.2025465
70 0.8859171 5.327380 12.868516 151.04300 0.03291753 0.2396151
71 0.8447556 5.979993 12.079004 138.32808 0.02749315 0.2485780
72 0.9101398 6.477809 11.688315 151.48691 0.04159867 0.3077217
73 0.8376519 5.863115 12.692172 142.46491 0.03366681 0.2610727
74 0.7733505 5.963657 11.853539 134.62149 0.02432632 0.2624917
75 0.6796869 6.084652 10.300754 112.89250 0.03559110 0.3372757
76 0.7086356 6.393489 10.824976 115.56948 0.02950819 0.2736920
77 0.6066129 5.698951 10.430541 114.49972 0.02211985 0.2614116
78 0.6206893 6.179102 10.233947 109.15691 0.02685225 0.2983433
79 0.6793002 7.565229 8.075787 110.70859 0.04139847 0.5390585
80 0.5391056 5.511530 9.916510 97.58678 0.03023414 0.4277270
81 0.5351723 6.244043 10.503077 97.32315 0.02589096 0.3778025
82 0.4790699 5.671128 9.874228 93.98112 0.02123257 0.3651357
83 0.4735000 6.969141 9.318820 79.33049 0.01636798 0.2705705
84 0.4421270 5.875827 9.925944 85.83473 0.01459496 0.2942875
85 0.4235297 7.398451 6.864341 70.90762 0.02456914 0.4836799
86 0.3714775 5.870920 9.548604 74.30409 0.01614340 0.4427252
87 0.4504992 7.015219 6.741337 72.11999 0.03027696 0.5216157
88 0.3627234 5.990228 7.469563 65.95990 0.02440005 0.5414827
89 0.3668865 7.514578 3.820640 58.70580 0.03155561 0.7619892
90 0.3055354 5.987028 7.483085 61.11994 0.01778669 0.5525364
91 0.3304524 6.639382 7.795340 57.00462 0.01781143 0.5008359
92 0.2827139 6.105960 7.433422 57.24217 0.01492997 0.5642687
93 0.2480560 5.198246 5.050510 48.57821 0.01577098 0.5201294
94 0.2809373 7.718699 7.842011 45.97432 0.01719655 0.7569939
95 0.2601287 7.837237 5.331283 43.80159 0.01812407 0.7849804
96 0.2572747 7.811761 3.880597 40.60868 0.02329387 0.6879361
97 0.2281720 6.446908 3.404316 38.22158 0.01779645 0.5946799
98 0.2362560 6.939703 3.533204 38.49385 0.02015734 0.6523851
99 0.2454801 6.398168 2.862322 39.13147 0.03598406 0.9342866
100 0.1915763 7.396526 3.032241 32.02075 0.02074991 0.8611767
stdA.model ci90.mu.model.lo ci90.mu.model.up ci90.lambda.model.lo
1 0.3157587 0.8818179 0.9938998 4.948252
2 0.2520965 0.9079055 1.0100680 5.328571
3 0.2871258 0.8710334 0.9989178 5.393025
4 0.2798875 0.7931856 0.9037697 5.426633
5 0.4369887 0.7237191 0.8364306 5.189744
6 0.3342097 0.8145162 0.9415622 5.329530
7 0.2392799 0.7150954 0.7809607 5.366774
8 1.8401208 0.6569784 0.8061660 5.785347
9 0.3283379 0.6889601 0.7594651 5.348879
10 0.3807086 0.6303410 0.7445191 5.665579
11 0.4357505 0.5432590 0.6255388 5.656474
12 0.5574072 0.5381963 0.6392321 5.249649
13 0.9178014 0.4137943 0.5547525 5.676322
14 0.2083535 0.5103106 0.6266439 6.163342
15 0.5741076 0.4891086 0.5662641 5.575490
16 0.7564410 0.4022210 0.4718274 4.613944
17 0.3027837 0.4617404 0.5434792 6.005018
18 0.3960290 0.4421791 0.5026800 5.657698
19 1.1994592 0.3554289 0.4057389 5.918238
20 1.0151389 0.3089297 0.5244990 5.315019
21 0.2823449 0.3617367 0.4351651 6.932083
22 0.7325890 0.3115284 0.3802910 6.639986
23 1.0043420 0.2565912 0.3431889 4.514880
24 1.2080589 0.2508406 0.2896732 4.903816
25 0.9037047 0.2676500 0.4619641 7.384915
26 0.1910098 0.3370891 0.4378665 7.449172
27 0.1771195 0.3041842 0.5261183 9.595010
28 0.4860154 0.2317097 0.3034055 6.032462
29 0.2338015 -0.4670073 2.3277745 10.917888
30 3.1980199 0.1691582 0.2407076 3.645304
31 0.6411964 0.2049490 0.2716256 5.579017
32 0.3712813 0.1899599 0.3123773 5.717277
33 0.5338365 0.1681324 0.2289447 5.367416
34 0.2585598 0.8750320 0.9808711 4.859033
35 0.1951735 0.9486161 1.0451208 4.858781
36 0.3636662 0.8226675 0.9284994 4.966080
37 0.3374919 0.7446067 0.8305797 5.039237
38 0.2323955 0.7831749 0.8647910 5.462094
39 0.3735272 0.7111875 0.8027347 5.323872
40 1.4412504 0.7247231 0.8399433 6.080185
41 0.9811216 0.6714291 0.7576540 5.781111
42 0.4276823 0.5914894 0.6643634 5.019751
43 0.9055255 0.6224052 0.8046918 6.835868
44 0.7329488 0.5152077 0.6071557 5.380160
45 0.4731854 0.5527776 0.6190187 6.021862
46 0.3336318 0.5316573 0.5876219 5.898819
47 0.5609234 0.4629045 0.5407167 5.497907
48 0.4518866 0.4954394 0.5673629 5.507656
49 0.4565285 0.4549038 0.5096558 5.316260
50 0.7195590 0.4125738 0.5069904 5.451852
51 0.2660499 0.4924032 0.5939596 6.984317
52 0.4622161 0.4101294 0.4896900 5.992086
53 0.6245080 0.3286981 0.4113412 5.837786
54 0.5882856 0.3514360 0.4158261 5.386045
55 0.7618952 0.2833559 0.3467375 4.468756
56 0.6803811 0.2929229 0.3560585 5.685519
57 0.6292907 0.2493737 0.3333539 5.563873
58 0.3029837 0.2935587 0.3837317 6.453999
59 0.6917283 0.1740566 0.4614558 8.155111
60 0.4883058 0.2717575 0.3649332 6.391525
61 0.4968152 0.2596437 0.3263622 6.628573
62 0.4739834 0.2278659 0.3304533 5.885450
63 0.3380458 0.1834455 0.3905381 6.088461
64 0.5499131 0.1734927 0.2394944 4.375925
65 0.1691948 0.2148252 4.8013975 10.660352
66 0.3522928 0.1526553 0.2957502 5.781455
67 0.9915201 0.9004013 1.0357406 5.545834
68 0.2471361 0.9754487 1.0702299 5.447784
69 0.2375026 0.9073221 1.0092979 5.346192
70 0.2841944 0.8317677 0.9400664 4.933213
71 0.3209569 0.7995294 0.8899818 5.571082
72 0.2177060 0.8417100 0.9785696 5.971607
73 0.3434093 0.7822700 0.8930338 5.433650
74 0.3402182 0.7333337 0.8133673 5.531858
75 0.3715644 0.6211395 0.7382342 5.529833
76 0.3291016 0.6600946 0.7571766 5.943266
77 0.3311396 0.5702257 0.6430001 5.268929
78 0.3813403 0.5765174 0.6648613 5.688327
79 1.6368672 0.6111997 0.7474006 6.678478
80 0.5578645 0.4893704 0.5888408 4.807919
81 0.6720404 0.4925816 0.5777629 5.622558
82 0.5890185 0.4441423 0.5139974 5.070479
83 0.4634234 0.4465746 0.5004253 6.524052
84 0.5903748 0.4181183 0.4661357 5.391724
85 0.3491468 0.3831135 0.4639459 6.602798
86 1.1460839 0.3449217 0.3980334 5.142637
87 0.3052127 0.4006936 0.5003048 6.157161
88 0.7357920 0.3225853 0.4028614 5.099489
89 0.8591891 0.3149776 0.4187955 6.261106
90 0.9702317 0.2762763 0.3347945 5.078106
91 0.9870814 0.3011526 0.3597522 5.815508
92 1.0868540 0.2581541 0.3072737 5.177738
93 0.4048723 0.2221127 0.2739993 4.342633
94 1.9140979 0.2526490 0.3092256 6.473444
95 0.7353140 0.2303146 0.2899428 6.545944
96 0.2538173 0.2189563 0.2955931 6.680106
97 0.1597508 0.1988968 0.2574472 5.468660
98 0.2022355 0.2030972 0.2694148 5.866529
99 0.1474147 0.1862863 0.3046739 4.861266
100 0.2494360 0.1574427 0.2257099 5.979890
ci90.lambda.model.up ci90.A.model.lo ci90.A.model.up ci95.mu.model.lo
1 5.732765 13.4682408 14.507087 0.8710867
2 5.994351 13.1255229 13.954920 0.8981240
3 6.232384 12.2963084 13.240952 0.8587892
4 6.256697 11.6805268 12.601357 0.7825977
5 6.196228 11.9311006 13.368793 0.7129276
6 6.250955 12.1763187 13.275868 0.8023522
7 5.976222 11.6481931 12.435424 0.7087891
8 8.048213 5.6653203 11.719318 0.6426945
9 6.039960 11.9014482 12.981680 0.6822096
10 6.755791 9.9305808 11.183112 0.6194091
11 6.661777 9.6445453 11.078164 0.5353811
12 6.533607 9.7348177 11.568687 0.5285226
13 8.034737 3.6189778 6.638544 0.4002984
14 7.559350 7.0999552 7.785438 0.4991723
15 6.702887 9.2661511 11.154965 0.4817213
16 5.998472 8.5451629 11.033854 0.3955565
17 7.344043 7.6453203 8.641478 0.4539143
18 6.647892 8.2577608 9.560696 0.4363864
19 7.361597 7.9778842 11.924105 0.3506120
20 8.858939 2.1560551 5.495862 0.2882900
21 8.433568 5.7717740 6.700689 0.3547063
22 8.237944 5.8989091 8.309127 0.3049448
23 7.658003 2.1219066 5.426192 0.2482999
24 6.626419 5.6281277 9.602641 0.2471226
25 10.654003 1.6827977 4.655986 0.2490455
26 9.158131 4.4928290 5.121251 0.3274402
27 13.572649 3.8726966 4.455420 0.2829352
28 8.550932 4.0869088 5.685899 0.2248452
29 12.819928 0.8184755 1.587683 -0.7345927
30 8.762047 1.6154482 12.136934 0.1623077
31 7.837442 3.8469713 5.956507 0.1985651
32 9.406924 3.1289979 4.350513 0.1782390
33 7.812220 3.1307007 4.887023 0.1623099
34 5.591386 12.8220210 13.672683 0.8648985
35 5.450715 13.0492983 13.691419 0.9393763
36 5.898649 11.9909532 13.187415 0.8125346
37 5.801267 12.4940615 13.604410 0.7363753
38 6.105035 11.7668806 12.531462 0.7753606
39 6.165289 11.8961972 13.125102 0.7024224
40 7.506441 7.3678621 12.109576 0.7136914
41 7.166143 7.0489501 10.276840 0.6631735
42 5.933448 11.0400331 12.447108 0.5845121
43 8.737669 5.0461357 8.025314 0.6049523
44 6.660380 9.8352363 12.246638 0.5064041
45 6.881450 10.2840155 11.840795 0.5464354
46 6.645157 9.7511128 10.848761 0.5262990
47 6.689045 8.8004106 10.645849 0.4554544
48 6.546018 9.1554728 10.642180 0.4885531
49 6.234768 9.0585592 10.560538 0.4496616
50 7.061541 7.7853267 10.152676 0.4035339
51 8.358664 7.1978872 8.073191 0.4826797
52 7.607429 7.2330323 8.753723 0.4025119
53 7.566341 6.0950484 8.149680 0.3207854
54 6.752169 6.9656814 8.901141 0.3452710
55 6.275949 5.9250307 8.431666 0.2772874
56 7.334109 5.8946944 8.133148 0.2868780
57 7.801793 4.6260005 6.696367 0.2413331
58 8.473675 4.5824305 5.579247 0.2849251
59 12.070922 1.0390295 3.314816 0.1465397
60 8.898629 4.5581422 6.164668 0.2628364
61 8.789421 4.4689733 6.103495 0.2532558
62 9.011617 3.8680533 5.427459 0.2180437
63 13.002072 3.2170540 4.329225 0.1636175
64 7.638556 3.2744232 5.083637 0.1671733
65 11.228521 0.9087327 1.465383 -0.2243147
66 9.467281 2.4081763 3.567220 0.1389547
67 6.806895 8.9480364 12.210138 0.8874432
68 6.137807 13.1801919 13.993270 0.9663739
69 6.012570 12.9615931 13.742977 0.8975585
70 5.721547 12.4010164 13.336016 0.8213987
71 6.388903 11.5510302 12.606978 0.7908690
72 6.984011 11.3301887 12.046441 0.8286064
73 6.292579 12.1272639 13.257081 0.7716650
74 6.395456 11.2938798 12.413198 0.7256709
75 6.639471 9.6895304 10.911977 0.6099283
76 6.843713 10.2836040 11.366348 0.6507996
77 6.128973 9.8858166 10.975266 0.5632580
78 6.669876 9.6066426 10.861252 0.5680589
79 8.451981 5.3831408 10.768434 0.5981592
80 6.215141 8.9988232 10.834197 0.4798467
81 6.865528 9.3975710 11.608584 0.4844260
82 6.271776 8.9052924 10.843163 0.4374540
83 7.414229 8.5564888 10.081152 0.4414187
84 6.359930 8.9547775 10.897111 0.4135209
85 8.194105 6.2899943 7.438687 0.3753742
86 6.599203 7.6632965 11.433912 0.3398365
87 7.873277 6.2392623 7.243412 0.3911564
88 6.880967 6.2591856 8.679941 0.3148993
89 8.768050 2.4072737 5.234006 0.3050376
90 6.895950 5.8870538 9.079116 0.2706735
91 7.463257 6.1715909 9.419089 0.2955420
92 7.034182 5.6455471 9.221297 0.2534512
93 6.053859 4.3844948 5.716525 0.2171449
94 8.963954 4.6933198 10.990702 0.2472320
95 9.128530 4.1216916 6.540875 0.2246055
96 8.943415 3.4630679 4.298127 0.2116187
97 7.425157 3.1415264 3.667106 0.1932910
98 8.012876 3.2005269 3.865882 0.1967476
99 7.935069 2.6198248 3.104819 0.1749513
100 8.813162 2.6219187 3.442563 0.1509065
ci95.mu.model.up ci95.lambda.model.lo ci95.lambda.model.up ci95.A.model.lo
1 1.0046311 4.873139 5.807878 13.3687768
2 1.0198495 5.264826 6.058096 13.0461125
3 1.0111621 5.312661 6.312748 12.2058637
4 0.9143576 5.347159 6.336172 11.5923622
5 0.8472222 5.093379 6.292593 11.7934492
6 0.9537261 5.241308 6.339177 12.0710426
7 0.7872669 5.308422 6.034573 11.5728199
8 0.8204499 5.568690 8.264870 5.0856823
9 0.7662156 5.282711 6.106128 11.7980218
10 0.7554510 5.561197 6.860173 9.8106576
11 0.6334167 5.560221 6.758030 9.5072838
12 0.6489057 5.126717 6.656539 9.5592344
13 0.5682485 5.450517 8.260543 3.3298703
14 0.6377822 6.029681 7.693010 7.0343239
15 0.5736513 5.467547 6.810829 9.0853072
16 0.4784919 4.481383 6.131033 8.3068839
17 0.5513052 5.876814 7.472247 7.5499434
18 0.5084727 5.562892 6.742698 8.1330117
19 0.4105558 5.780044 7.499791 7.6000545
20 0.5451386 4.975707 9.198251 1.8362863
21 0.4421955 6.788324 8.577327 5.6828353
22 0.3868747 6.486990 8.390940 5.6681436
23 0.3514802 4.213943 7.958940 1.8055389
24 0.2933912 4.738886 6.791349 5.2475891
25 0.4805686 7.071917 10.967000 1.3981308
26 0.4475154 7.285548 9.321755 4.4326609
27 0.5473673 9.214173 13.953486 3.8169039
28 0.3102700 5.791332 8.792063 3.9338140
29 2.5953600 10.735777 13.002038 0.7448280
30 0.2475581 3.155403 9.251948 0.6080719
31 0.2780096 5.362784 8.053674 3.6449944
32 0.3240981 5.364012 9.760188 3.0120443
33 0.2347671 5.133339 8.046297 2.9625422
34 0.9910046 4.788914 5.661505 12.7405747
35 1.0543607 4.802107 5.507390 12.9878187
36 0.9386323 4.876792 5.987938 11.8763983
37 0.8388112 4.966276 5.874228 12.3877515
38 0.8726053 5.400536 6.166593 11.6936760
39 0.8114998 5.243311 6.245850 11.7785362
40 0.8509750 5.943629 7.642997 6.9138683
41 0.7659096 5.648501 7.298752 6.7398968
42 0.6713407 4.932270 6.020930 10.9053131
43 0.8221447 6.653781 8.919757 4.7608952
44 0.6159593 5.257586 6.782954 9.6043574
45 0.6253609 5.939561 6.963751 10.1349621
46 0.5929802 5.827361 6.716615 9.6460188
47 0.5481668 5.383861 6.803090 8.6237198
48 0.5742492 5.408238 6.645436 9.0131286
49 0.5148980 5.228318 6.322710 8.9147527
50 0.5160303 5.297733 7.215660 7.5586656
51 0.6036831 6.852731 8.490250 7.1140814
52 0.4973075 5.837426 7.762090 7.0874342
53 0.4192539 5.672286 7.731841 5.8983284
54 0.4219911 5.255246 6.882968 6.7803714
55 0.3528059 4.295727 6.448978 5.6850337
56 0.3621034 5.527675 7.491953 5.6803744
57 0.3413946 5.349603 8.016062 4.4277739
58 0.3923653 6.260625 8.667049 4.4869906
59 0.4889727 7.780192 12.445840 0.8211351
60 0.3738542 6.151483 9.138671 4.4043258
61 0.3327502 6.421683 8.996310 4.3124765
62 0.3402755 5.586136 9.310931 3.7187485
63 0.4103661 5.426520 13.664013 3.1105696
64 0.2458137 4.063545 7.950936 3.1012005
65 5.2405374 10.605952 11.282920 0.8554363
66 0.3094508 5.428557 9.820179 2.2972040
67 1.0486987 5.425094 6.927635 8.6357076
68 1.0793047 5.381718 6.203873 13.1023441
69 1.0190616 5.282390 6.076372 12.8867798
70 0.9504354 4.857734 5.797025 12.3114951
71 0.8986422 5.492780 6.467205 11.4499288
72 0.9916732 5.874674 7.080943 11.2616113
73 0.9036388 5.351412 6.374817 12.0190900
74 0.8210300 5.449173 6.478141 11.1867110
75 0.7494454 5.423592 6.745713 9.5724877
76 0.7664717 5.857053 6.929926 10.1799371
77 0.6499678 5.186584 6.211318 9.7815077
78 0.6733197 5.594349 6.763855 9.4865204
79 0.7604412 6.508674 8.621784 4.8675276
80 0.5983645 4.673185 6.349875 8.8230959
81 0.5859185 5.503551 6.984536 9.1858782
82 0.5206857 4.955462 6.386794 8.7197516
83 0.5055812 6.438823 7.499459 8.4105104
84 0.4707332 5.299023 6.452630 8.7688094
85 0.4716852 6.450439 8.346464 6.1800130
86 0.4031186 5.003178 6.738661 7.3022800
87 0.5098420 5.992852 8.037586 6.1431203
88 0.4105475 4.928922 7.051534 6.0274112
89 0.4287355 6.021079 9.008077 2.1366291
90 0.3403973 4.904057 7.069999 5.5814308
91 0.3653628 5.657744 7.621021 5.8606602
92 0.3119767 4.999993 7.211926 5.3031881
93 0.2789671 4.178792 6.217700 4.2569600
94 0.3146425 6.234991 9.202407 4.0903789
95 0.2956519 6.298675 9.375799 3.8900677
96 0.3029307 6.463406 9.160115 3.3831155
97 0.2630530 5.281336 7.612481 3.0912049
98 0.2757644 5.661028 8.218377 3.1368228
99 0.3160088 4.566966 8.229369 2.5733891
100 0.2322461 5.708620 9.084432 2.5433464
ci95.A.model.up mu.spline lambda.spline A.spline integral.spline mu.bt
1 14.606551 0.9172126 5.233526 13.196582 167.59359 NA
2 14.034331 0.9136487 5.403675 12.890219 165.93383 NA
3 13.331397 1.7197468 8.965615 12.300898 151.02164 NA
4 12.689521 0.9137598 6.259984 11.590390 146.49860 NA
5 13.506445 0.8054369 5.987896 11.437253 138.98597 NA
6 13.381144 0.8829238 5.842614 11.758124 142.75675 NA
7 12.510797 0.7205557 5.510615 11.160604 136.49258 NA
8 12.298956 0.7464378 5.802984 10.911477 128.13506 NA
9 13.085106 1.7237595 7.518742 11.047957 134.89954 NA
10 11.303035 0.6528788 5.917204 9.827459 116.24600 NA
11 11.215426 0.5833841 6.247299 8.950097 100.39989 NA
12 11.744270 0.5609833 5.565046 9.491514 110.14708 NA
13 6.927652 1.1671877 18.688504 8.352321 93.07814 NA
14 7.851070 0.5421077 6.530984 7.427296 89.38250 NA
15 11.335809 1.4245487 5.714048 8.592761 91.82037 NA
16 11.272133 0.4496364 5.375440 7.895672 88.71463 NA
17 8.736855 0.4679079 6.085409 7.747490 91.07170 NA
18 9.685445 0.4669552 6.219867 7.517892 87.42623 NA
19 12.301935 0.4110586 6.831589 7.088894 72.48600 NA
20 5.815631 0.4136038 5.785047 7.015330 76.29355 NA
21 6.789627 0.3796532 7.301240 5.996584 65.51015 NA
22 8.539893 0.3535045 7.628651 5.630275 56.84291 NA
23 5.742559 0.3332575 5.083379 6.280282 69.06907 NA
24 9.983180 0.2607566 5.648748 5.128576 53.22919 NA
25 4.940653 0.3927232 7.573257 5.575532 57.59668 NA
26 5.181419 0.3671392 7.983238 4.673608 51.36690 NA
27 4.511212 0.9823517 15.136654 4.421732 44.66348 NA
28 5.838994 0.2427859 6.463075 4.423130 47.49858 NA
29 1.661330 0.6404569 10.347198 3.978803 43.97124 NA
30 13.144310 0.1958572 5.789887 3.813515 39.93424 NA
31 6.158484 0.2280948 6.367821 3.979071 42.24532 NA
32 4.467467 0.8482566 13.860540 3.572817 40.54811 NA
33 5.055181 0.1874265 6.117878 3.330598 34.64018 NA
34 13.754129 0.9155584 5.172038 12.654310 159.18192 NA
35 13.752899 0.9644274 5.114005 12.803105 169.95478 NA
36 13.301970 0.9572623 5.885621 11.835027 149.65489 NA
37 13.710720 0.7834346 5.506484 11.891961 149.99807 NA
38 12.604666 0.9508525 6.479988 11.419254 139.75469 NA
39 13.242763 0.7652170 5.916361 11.152076 136.32756 NA
40 12.563570 0.8219640 6.393570 10.554859 132.30938 NA
41 10.585894 1.1309728 9.315012 11.124960 132.62006 NA
42 12.581828 0.6315723 5.799321 10.127598 124.03965 NA
43 8.310555 0.8002754 7.180954 10.190125 114.27671 NA
44 12.477517 1.6478817 19.053532 9.846968 97.14881 NA
45 11.989849 0.5927046 6.592521 9.383936 103.26927 NA
46 10.953855 0.6784087 7.321477 8.620672 101.11688 NA
47 10.822540 0.5466017 6.470792 8.232182 89.14885 NA
48 10.784524 0.5370511 6.136856 8.596331 100.49813 NA
49 10.704345 0.5485025 6.707394 8.303837 93.80718 NA
50 10.379337 0.4592913 6.349464 7.634993 85.54762 NA
51 8.156997 0.5221053 7.185754 7.352830 83.53417 NA
52 8.899321 0.4021276 5.702590 7.342626 78.01912 NA
53 8.346400 0.3617212 6.609257 5.982305 64.50817 NA
54 9.086451 0.7973926 9.171458 6.533956 70.58971 NA
55 8.671663 0.3225931 5.981850 5.535325 64.15237 NA
56 8.347468 0.4318745 8.378330 5.588385 60.69726 NA
57 6.894594 0.9978967 9.860084 4.732999 50.06419 NA
58 5.674687 0.3237480 7.179110 4.886002 51.33863 NA
59 3.532710 0.2977082 7.381182 4.432849 49.11636 NA
60 6.318485 0.2879933 6.823051 4.904258 51.92240 NA
61 6.259992 0.2914022 7.539738 4.686553 46.59903 NA
62 5.576764 0.2832750 7.266532 4.401168 47.00522 NA
63 4.435709 1.1164335 18.961675 3.994587 41.29547 NA
64 5.256860 0.2082431 6.280898 3.594396 40.23913 NA
65 1.518680 0.2868373 7.399747 4.013286 40.98284 NA
66 3.678192 0.1941687 6.790758 2.800182 32.55540 NA
67 12.522466 1.0798719 5.854259 13.157790 167.71637 NA
68 14.071118 1.1122447 6.157175 13.092816 174.29352 NA
69 13.817790 1.2214625 6.625108 12.551005 156.91033 NA
70 13.425537 0.9292247 5.493299 11.909772 152.18476 NA
71 12.708080 1.0166825 8.093835 11.602960 138.79462 NA
72 12.115019 1.1565432 7.299837 11.803486 151.30269 NA
73 13.365255 0.8508951 5.904376 11.983968 142.17241 NA
74 12.520366 0.9444587 7.362605 11.274776 134.62581 NA
75 11.029020 0.7470441 6.778241 9.416127 114.09759 NA
76 11.470015 0.6902367 6.222626 9.862996 115.65830 NA
77 11.079575 0.6229043 5.889414 9.405741 114.83569 NA
78 10.981374 0.6407155 6.286197 9.305396 109.26235 NA
79 11.284047 1.1191941 8.119907 9.154943 110.70805 NA
80 11.009925 0.5281413 5.492565 8.574707 97.83417 NA
81 11.820277 0.5109501 5.970404 8.822752 97.34181 NA
82 11.028704 0.4708947 5.789422 8.067556 94.09118 NA
83 10.227130 0.4663896 6.818938 7.690494 79.23565 NA
84 11.083079 0.4289736 5.496885 7.769650 85.96406 NA
85 7.548669 0.6286653 9.076234 6.253064 71.43604 NA
86 11.794929 0.3831971 5.926285 7.030209 74.54449 NA
87 7.339554 0.4081132 6.138358 6.538803 71.89261 NA
88 8.911716 1.0044956 13.849608 5.946715 67.25486 NA
89 5.504650 0.3854178 6.937679 5.666016 58.77009 NA
90 9.384739 0.7338691 10.874126 5.489550 61.33780 NA
91 9.730019 0.3201223 6.353958 5.728954 56.88722 NA
92 9.563656 1.3215115 8.265277 5.534667 56.55798 NA
93 5.844059 0.2366713 4.836172 4.262273 48.67279 NA
94 11.593643 0.7100613 18.177815 5.065770 46.74227 NA
95 6.772499 0.6512171 11.826212 4.227905 43.94272 NA
96 4.378079 0.2575218 7.884904 3.729857 40.82195 NA
97 3.717428 1.0009541 7.468672 3.291732 38.66708 NA
98 3.929586 0.8884121 7.683021 3.473917 39.01378 NA
99 3.151255 0.2290888 5.996279 2.983913 39.39414 NA
100 3.521135 1.0656312 9.327060 3.069899 31.22255 NA
lambda.bt A.bt integral.bt stdmu.bt stdlambda.bt stdA.bt stdintegral.bt
1 NA NA NA NA NA NA NA
2 NA NA NA NA NA NA NA
3 NA NA NA NA NA NA NA
4 NA NA NA NA NA NA NA
5 NA NA NA NA NA NA NA
6 NA NA NA NA NA NA NA
7 NA NA NA NA NA NA NA
8 NA NA NA NA NA NA NA
9 NA NA NA NA NA NA NA
10 NA NA NA NA NA NA NA
11 NA NA NA NA NA NA NA
12 NA NA NA NA NA NA NA
13 NA NA NA NA NA NA NA
14 NA NA NA NA NA NA NA
15 NA NA NA NA NA NA NA
16 NA NA NA NA NA NA NA
17 NA NA NA NA NA NA NA
18 NA NA NA NA NA NA NA
19 NA NA NA NA NA NA NA
20 NA NA NA NA NA NA NA
21 NA NA NA NA NA NA NA
22 NA NA NA NA NA NA NA
23 NA NA NA NA NA NA NA
24 NA NA NA NA NA NA NA
25 NA NA NA NA NA NA NA
26 NA NA NA NA NA NA NA
27 NA NA NA NA NA NA NA
28 NA NA NA NA NA NA NA
29 NA NA NA NA NA NA NA
30 NA NA NA NA NA NA NA
31 NA NA NA NA NA NA NA
32 NA NA NA NA NA NA NA
33 NA NA NA NA NA NA NA
34 NA NA NA NA NA NA NA
35 NA NA NA NA NA NA NA
36 NA NA NA NA NA NA NA
37 NA NA NA NA NA NA NA
38 NA NA NA NA NA NA NA
39 NA NA NA NA NA NA NA
40 NA NA NA NA NA NA NA
41 NA NA NA NA NA NA NA
42 NA NA NA NA NA NA NA
43 NA NA NA NA NA NA NA
44 NA NA NA NA NA NA NA
45 NA NA NA NA NA NA NA
46 NA NA NA NA NA NA NA
47 NA NA NA NA NA NA NA
48 NA NA NA NA NA NA NA
49 NA NA NA NA NA NA NA
50 NA NA NA NA NA NA NA
51 NA NA NA NA NA NA NA
52 NA NA NA NA NA NA NA
53 NA NA NA NA NA NA NA
54 NA NA NA NA NA NA NA
55 NA NA NA NA NA NA NA
56 NA NA NA NA NA NA NA
57 NA NA NA NA NA NA NA
58 NA NA NA NA NA NA NA
59 NA NA NA NA NA NA NA
60 NA NA NA NA NA NA NA
61 NA NA NA NA NA NA NA
62 NA NA NA NA NA NA NA
63 NA NA NA NA NA NA NA
64 NA NA NA NA NA NA NA
65 NA NA NA NA NA NA NA
66 NA NA NA NA NA NA NA
67 NA NA NA NA NA NA NA
68 NA NA NA NA NA NA NA
69 NA NA NA NA NA NA NA
70 NA NA NA NA NA NA NA
71 NA NA NA NA NA NA NA
72 NA NA NA NA NA NA NA
73 NA NA NA NA NA NA NA
74 NA NA NA NA NA NA NA
75 NA NA NA NA NA NA NA
76 NA NA NA NA NA NA NA
77 NA NA NA NA NA NA NA
78 NA NA NA NA NA NA NA
79 NA NA NA NA NA NA NA
80 NA NA NA NA NA NA NA
81 NA NA NA NA NA NA NA
82 NA NA NA NA NA NA NA
83 NA NA NA NA NA NA NA
84 NA NA NA NA NA NA NA
85 NA NA NA NA NA NA NA
86 NA NA NA NA NA NA NA
87 NA NA NA NA NA NA NA
88 NA NA NA NA NA NA NA
89 NA NA NA NA NA NA NA
90 NA NA NA NA NA NA NA
91 NA NA NA NA NA NA NA
92 NA NA NA NA NA NA NA
93 NA NA NA NA NA NA NA
94 NA NA NA NA NA NA NA
95 NA NA NA NA NA NA NA
96 NA NA NA NA NA NA NA
97 NA NA NA NA NA NA NA
98 NA NA NA NA NA NA NA
99 NA NA NA NA NA NA NA
100 NA NA NA NA NA NA NA
ci90.mu.bt.lo ci90.mu.bt.up ci90.lambda.bt.lo ci90.lambda.bt.up
1 NA NA NA NA
2 NA NA NA NA
3 NA NA NA NA
4 NA NA NA NA
5 NA NA NA NA
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 NA NA NA NA
11 NA NA NA NA
12 NA NA NA NA
13 NA NA NA NA
14 NA NA NA NA
15 NA NA NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
21 NA NA NA NA
22 NA NA NA NA
23 NA NA NA NA
24 NA NA NA NA
25 NA NA NA NA
26 NA NA NA NA
27 NA NA NA NA
28 NA NA NA NA
29 NA NA NA NA
30 NA NA NA NA
31 NA NA NA NA
32 NA NA NA NA
33 NA NA NA NA
34 NA NA NA NA
35 NA NA NA NA
36 NA NA NA NA
37 NA NA NA NA
38 NA NA NA NA
39 NA NA NA NA
40 NA NA NA NA
41 NA NA NA NA
42 NA NA NA NA
43 NA NA NA NA
44 NA NA NA NA
45 NA NA NA NA
46 NA NA NA NA
47 NA NA NA NA
48 NA NA NA NA
49 NA NA NA NA
50 NA NA NA NA
51 NA NA NA NA
52 NA NA NA NA
53 NA NA NA NA
54 NA NA NA NA
55 NA NA NA NA
56 NA NA NA NA
57 NA NA NA NA
58 NA NA NA NA
59 NA NA NA NA
60 NA NA NA NA
61 NA NA NA NA
62 NA NA NA NA
63 NA NA NA NA
64 NA NA NA NA
65 NA NA NA NA
66 NA NA NA NA
67 NA NA NA NA
68 NA NA NA NA
69 NA NA NA NA
70 NA NA NA NA
71 NA NA NA NA
72 NA NA NA NA
73 NA NA NA NA
74 NA NA NA NA
75 NA NA NA NA
76 NA NA NA NA
77 NA NA NA NA
78 NA NA NA NA
79 NA NA NA NA
80 NA NA NA NA
81 NA NA NA NA
82 NA NA NA NA
83 NA NA NA NA
84 NA NA NA NA
85 NA NA NA NA
86 NA NA NA NA
87 NA NA NA NA
88 NA NA NA NA
89 NA NA NA NA
90 NA NA NA NA
91 NA NA NA NA
92 NA NA NA NA
93 NA NA NA NA
94 NA NA NA NA
95 NA NA NA NA
96 NA NA NA NA
97 NA NA NA NA
98 NA NA NA NA
99 NA NA NA NA
100 NA NA NA NA
ci90.A.bt.lo ci90.A.bt.up ci90.integral.bt.lo ci90.integral.bt.up
1 NA NA NA NA
2 NA NA NA NA
3 NA NA NA NA
4 NA NA NA NA
5 NA NA NA NA
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 NA NA NA NA
11 NA NA NA NA
12 NA NA NA NA
13 NA NA NA NA
14 NA NA NA NA
15 NA NA NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
21 NA NA NA NA
22 NA NA NA NA
23 NA NA NA NA
24 NA NA NA NA
25 NA NA NA NA
26 NA NA NA NA
27 NA NA NA NA
28 NA NA NA NA
29 NA NA NA NA
30 NA NA NA NA
31 NA NA NA NA
32 NA NA NA NA
33 NA NA NA NA
34 NA NA NA NA
35 NA NA NA NA
36 NA NA NA NA
37 NA NA NA NA
38 NA NA NA NA
39 NA NA NA NA
40 NA NA NA NA
41 NA NA NA NA
42 NA NA NA NA
43 NA NA NA NA
44 NA NA NA NA
45 NA NA NA NA
46 NA NA NA NA
47 NA NA NA NA
48 NA NA NA NA
49 NA NA NA NA
50 NA NA NA NA
51 NA NA NA NA
52 NA NA NA NA
53 NA NA NA NA
54 NA NA NA NA
55 NA NA NA NA
56 NA NA NA NA
57 NA NA NA NA
58 NA NA NA NA
59 NA NA NA NA
60 NA NA NA NA
61 NA NA NA NA
62 NA NA NA NA
63 NA NA NA NA
64 NA NA NA NA
65 NA NA NA NA
66 NA NA NA NA
67 NA NA NA NA
68 NA NA NA NA
69 NA NA NA NA
70 NA NA NA NA
71 NA NA NA NA
72 NA NA NA NA
73 NA NA NA NA
74 NA NA NA NA
75 NA NA NA NA
76 NA NA NA NA
77 NA NA NA NA
78 NA NA NA NA
79 NA NA NA NA
80 NA NA NA NA
81 NA NA NA NA
82 NA NA NA NA
83 NA NA NA NA
84 NA NA NA NA
85 NA NA NA NA
86 NA NA NA NA
87 NA NA NA NA
88 NA NA NA NA
89 NA NA NA NA
90 NA NA NA NA
91 NA NA NA NA
92 NA NA NA NA
93 NA NA NA NA
94 NA NA NA NA
95 NA NA NA NA
96 NA NA NA NA
97 NA NA NA NA
98 NA NA NA NA
99 NA NA NA NA
100 NA NA NA NA
ci95.mu.bt.lo ci95.mu.bt.up ci95.lambda.bt.lo ci95.lambda.bt.up
1 NA NA NA NA
2 NA NA NA NA
3 NA NA NA NA
4 NA NA NA NA
5 NA NA NA NA
6 NA NA NA NA
7 NA NA NA NA
8 NA NA NA NA
9 NA NA NA NA
10 NA NA NA NA
11 NA NA NA NA
12 NA NA NA NA
13 NA NA NA NA
14 NA NA NA NA
15 NA NA NA NA
16 NA NA NA NA
17 NA NA NA NA
18 NA NA NA NA
19 NA NA NA NA
20 NA NA NA NA
21 NA NA NA NA
22 NA NA NA NA
23 NA NA NA NA
24 NA NA NA NA
25 NA NA NA NA
26 NA NA NA NA
27 NA NA NA NA
28 NA NA NA NA
29 NA NA NA NA
30 NA NA NA NA
31 NA NA NA NA
32 NA NA NA NA
33 NA NA NA NA
34 NA NA NA NA
35 NA NA NA NA
36 NA NA NA NA
37 NA NA NA NA
38 NA NA NA NA
39 NA NA NA NA
40 NA NA NA NA
41 NA NA NA NA
42 NA NA NA NA
43 NA NA NA NA
44 NA NA NA NA
45 NA NA NA NA
46 NA NA NA NA
47 NA NA NA NA
48 NA NA NA NA
49 NA NA NA NA
50 NA NA NA NA
51 NA NA NA NA
52 NA NA NA NA
53 NA NA NA NA
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ci95.A.bt.lo ci95.A.bt.up ci95.integral.bt.lo ci95.integral.bt.up
1 NA NA NA NA
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100 NA NA NA NA
dev.new(): using pdf(file="Rplots1.pdf")
dev.new(): using pdf(file="Rplots2.pdf")
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