residuals.cowbell: Implementation of the 'residuals' generic.
In cowbell: Performs Segmented Linear Regression on Two Independent Variables
Description
Usage
Arguments
Value
Examples
Description
Implementation of the residuals generic.
Usage
1
2
Arguments
object
The data obtained by function generateCowbell.
...
Just for compatibility purposes.
Value
Vector with the residuals to the data.
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)
residuals(test)
cowbell documentation built on May 2, 2019, 7:22 a.m.
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Description Usage Arguments Value Examples
Description
Implementation of the residuals generic.
Usage
1 2 |
Arguments
object |
The data obtained by function |
... |
Just for compatibility purposes. |
Value
Vector with the residuals to the data.
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)
residuals(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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