Variables_selection: Select the best features for your model based on correlation
In samchaineau/ModBrowse: GLM and LM Models' browsing
Description
Usage
Arguments
Value
View source: R/Variables_selection.R
Description
Calculate the correlation of every variables with your targeted one then extract the top n elements. Remove automatically non numeric variables from its analysis.
Usage
1
Variables_selection(x, Target, n)
Arguments
x
A dataset with your taregeted variable
Target
The colname of your targeted variable
n
The number of variables you would like to take as regressors
Value
A dataframe containing the variables' names and their correlation with your target
samchaineau/ModBrowse documentation built on Feb. 17, 2020, 1:57 p.m.
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Description Usage Arguments Value
View source: R/Variables_selection.R
Description
Calculate the correlation of every variables with your targeted one then extract the top n elements. Remove automatically non numeric variables from its analysis.
Usage
1 | Variables_selection(x, Target, n)
|
Arguments
x |
A dataset with your taregeted variable |
Target |
The colname of your targeted variable |
n |
The number of variables you would like to take as regressors |
Value
A dataframe containing the variables' names and their correlation with your target
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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