print.cowbell: Summarizes the cowbell regression analysis
In Carbonfreezer/cowbell: Performs Segmented Linear Regression on Two Independent Variables
Description
Usage
Arguments
Details
Examples
Description
Prints the used formula, the R squared and the F statistics in comparison with a constant function
(average of values).
Usage
1
2
Arguments
x
Object generated with function generateCowbell
...
Only for compatibility purposes.
Details
Implementation of the print generic.
Examples
1
2
3
4
5
# Run a simplified anaylsis with 10 iterations only (to save time.)
concept<-generateCowbellConcept(Fun ~ Fluency * Absorption, 1, 9, 1, 7, 1, 7)
data(allFun)
test<-generateCowbell(concept, allFun, 10)
test
Carbonfreezer/cowbell documentation built on May 8, 2019, 7:50 p.m.
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Description Usage Arguments Details Examples
Description
Prints the used formula, the R squared and the F statistics in comparison with a constant function (average of values).
Usage
1 2 |
Arguments
x |
Object generated with function |
... |
Only for compatibility purposes. |
Details
Implementation of the print generic.
Examples
1 2 3 4 5 | # Run a simplified anaylsis with 10 iterations only (to save time.)
concept<-generateCowbellConcept(Fun ~ Fluency * Absorption, 1, 9, 1, 7, 1, 7)
data(allFun)
test<-generateCowbell(concept, allFun, 10)
test
|
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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