corr_rm: corr_rm filter data.frame by correlation values.

In meantrix/corrP: corrp (Compute correlations type analysis in parallel)

corr_rm filter data.frame by correlation values.

Description

Remove highly correlated variables from a data.frame using the corrp functions outputs and the caret package function findCorrelation.

Usage

corr_rm(df, c, ...)

## S3 method for class 'clist'
corr_rm(
  df,
  c,
  col = c("infer.value", "stat.value"),
  isig = TRUE,
  cutoff = 0.75,
  ...
)

## S3 method for class 'list'
corr_rm(
  df,
  c,
  col = c("infer.value", "stat.value"),
  isig = TRUE,
  cutoff = 0.75,
  ...
)

## S3 method for class 'cmatrix'
corr_rm(df, c, cutoff = 0.75, ...)

## S3 method for class 'matrix'
corr_rm(df, c, cutoff = 0.75, ...)

Arguments

df	\[data.frame(1)] input data frame.
c	\[clist(1) | cmatrix(1)] correlation list output from corrp or correlation matrix output from corr_matrix.
...	Additional arguments (TODO).
col	\[character(1)] choose the column to be used in the correlation matrix
isig	\[logical(1)] values that are not statistically significant will be represented by NA or FALSE in the correlation matrix.
cutoff	\[numeric(1)] A numeric value for the pair-wise absolute correlation cutoff. The default values is 0.75.

Author(s)

Igor D.S. Siciliani

Examples

## Not run: 

air_cor = corrp(airquality)
corr_rm(df=airquality,c=air_cor,cutoff=0.75,col = 'infer.value',isig = F)


## End(Not run)

meantrix/corrP documentation built on Oct. 22, 2024, 10:16 a.m.