HCT: Hematocrit Levels
In astsa: Applied Statistical Time Series Analysis
HCT R Documentation
Hematocrit Levels
Description
HCT: Measurements made for 91 days on the three variables, log(white blood count) [WBC], log(platelet) [PLT] and hematocrit [HCT]. Missing data code is 0 (zero).
Format
The format is:
Time-Series [1:91] from 1 to 91: 30 30 28.5 34.5 34 32 30.5 31 33 34 ...
Details
See Examples 6.1 and 6.9 for more details.
Source
Jones, R.H. (1984). Fitting multivariate models to unequally spaced data. In Time Series Analysis of Irregularly Observed Data, pp. 158-188. E. Parzen, ed. Lecture Notes in Statistics, 25, New York: Springer-Verlag.
References
You can find demonstrations of astsa capabilities at
FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at
https://nickpoison.github.io/.
See Also
blood, PLT, WBC
astsa documentation built on May 29, 2024, 10:29 a.m.
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| HCT | R Documentation |
Hematocrit Levels
Description
HCT: Measurements made for 91 days on the three variables, log(white blood count) [WBC], log(platelet) [PLT] and hematocrit [HCT]. Missing data code is 0 (zero).
Format
The format is: Time-Series [1:91] from 1 to 91: 30 30 28.5 34.5 34 32 30.5 31 33 34 ...
Details
See Examples 6.1 and 6.9 for more details.
Source
Jones, R.H. (1984). Fitting multivariate models to unequally spaced data. In Time Series Analysis of Irregularly Observed Data, pp. 158-188. E. Parzen, ed. Lecture Notes in Statistics, 25, New York: Springer-Verlag.
References
You can find demonstrations of astsa capabilities at FUN WITH ASTSA.
The most recent version of the package can be found at https://github.com/nickpoison/astsa/.
In addition, the News and ChangeLog files are at https://github.com/nickpoison/astsa/blob/master/NEWS.md.
The webpages for the texts and some help on using R for time series analysis can be found at https://nickpoison.github.io/.
See Also
blood, PLT, WBC
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.
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