ch.RSS: A function calculate the residual sum of squares from a model...
In ccpluncw/ccpl_R_chutils:
ch.RSS R Documentation
A function calculate the residual sum of squares from a model fit
Description
This function calculates the residual sum of squares from a model fit. The empirical Y and the fit Y are input. The RSS is output. If one wants to standardize the variables before calculation, then set "standardize" to TRUE.
Usage
ch.RSS(y, fitY, standardize = FALSE)
Arguments
y
A numeric vector containing the empirical Y from the data.
fitY
A numeric vector containing the fit Y from the model.
standardize
A boolean that specifies whether to standardize the scores before calculating the RSS. Standardization is useful if you want to combine different DVs into a single RSS (e.g., RT and accuracy). DEFAULT = FALSE.
'
Value
the RSS.
Examples
ch.RSS (myY, fitY)
ccpluncw/ccpl_R_chutils documentation built on Feb. 28, 2024, 1:17 a.m.
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| ch.RSS | R Documentation |
A function calculate the residual sum of squares from a model fit
Description
This function calculates the residual sum of squares from a model fit. The empirical Y and the fit Y are input. The RSS is output. If one wants to standardize the variables before calculation, then set "standardize" to TRUE.
Usage
ch.RSS(y, fitY, standardize = FALSE)
Arguments
y |
A numeric vector containing the empirical Y from the data. |
fitY |
A numeric vector containing the fit Y from the model. |
standardize |
A boolean that specifies whether to standardize the scores before calculating the RSS. Standardization is useful if you want to combine different DVs into a single RSS (e.g., RT and accuracy). DEFAULT = FALSE. ' |
Value
the RSS.
Examples
ch.RSS (myY, fitY)
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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