PopMiss: Populate Missing Value

In SixiangHu/DataMan: Data Summary, One-way Interactive Plot and Model Visualisation Analysis

Description

This function allows you to populate missing values.

Usage

PopMiss(data,na.treatment=c("mean.or.mode","delete","replace"),replace=NULL)

## S3 method for class 'factor'
PopMiss(data, na.treatment, replace)

## S3 method for class 'character'
PopMiss(data, na.treatment, replace)

## S3 method for class 'integer'
PopMiss(data, na.treatment, replace)

## S3 method for class 'Date'
PopMiss(data, na.treatment, replace)

## S3 method for class 'numeric'
PopMiss(data, na.treatment, replace)

## S3 method for class 'data.frame'
PopMiss(data, na.treatment, replace)

## S3 method for class 'data.table'
PopMiss(data, na.treatment, replace)

## S3 method for class 'matrix'
PopMiss(data, na.treatment, replace)

Arguments

data	This could be data frame,data.table, matrix or a vector.
na.treatment	One of "mean.or.mode", "delete", or "replace", to specify the method to populate missing values.
replace	A single value used for populating ALL missing value. May not be useful for a data frame with missing values in different type of variable.

Author(s)

Sixiang Hu

See Also

DetMiss

Examples

a <- c(sample(LETTERS,5),NA)
PopMiss(a,"mean.or.mode")

SixiangHu/DataMan documentation built on May 9, 2019, 1:48 p.m.