corr_groups: Find highly correlated groups for dimension reduction
In NateByers/IUHhelpers: Convenience functions for IU Health
Description
Usage
Arguments
Examples
Description
Find highly correlated groups for dimension reduction
Usage
1
corr_groups(data, cutoff = 0.9, cor_mat = FALSE)
Arguments
data
A data.frame or matrix of features for modeling
cutoff
Minimum correlation used to make groups
cor_mat
If TRUE, a list of correlation matrices are returned
Examples
1
2
corr_groups(mtcars)
corr_groups(mtcars, cor_mat = TRUE)
NateByers/IUHhelpers documentation built on Feb. 25, 2020, 8:43 p.m.
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Description Usage Arguments Examples
Description
Find highly correlated groups for dimension reduction
Usage
1 | corr_groups(data, cutoff = 0.9, cor_mat = FALSE)
|
Arguments
data |
A data.frame or matrix of features for modeling |
cutoff |
Minimum correlation used to make groups |
cor_mat |
If TRUE, a list of correlation matrices are returned |
Examples
1 2 | corr_groups(mtcars)
corr_groups(mtcars, cor_mat = TRUE)
|
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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