imputeMean: imputeMean

In fscaret: Automated Feature Selection from 'caret'

Description

Secondary function imputes the mean to columns with NA data.

Usage

impute.mean(x)

Arguments

x	a vector to calculate mean

Author(s)

Jakub Szlek and Aleksander Mendyk

Examples

library(fscaret)

# Make sample matrix
testData <- matrix(data=rep(1:5),ncol=10,nrow=15)

# Replace random values with NA's
n <- 15
replace <- TRUE
set.seed(1)

rand.sample <- sample(length(testData), n, replace=replace)
testData[rand.sample] <- NA 

# Print out input matrix
testData

# Record cols with missing values
missing.colsTestMatrix <- which(colSums(is.na(testData))>0)

for(i in 1:length(missing.colsTestMatrix)){

rowToReplace <- missing.colsTestMatrix[i]
testData[,rowToReplace] <- impute.mean(testData[,rowToReplace])

}

# Print out matrix with replaced NA's by column mean 
testData

fscaret documentation built on May 2, 2019, 10:15 a.m.