mixGuess: Naive imputation for mixed type data

In imputeR: A General Multivariate Imputation Framework

Description

Naive imputation for mixed type data

Usage

mixGuess(missdata, method = c("mean", "majority"))

Arguments

missdata	a data matrix with missing values
method	a character vector of length 2 indicating which two methods to use respectively for continuous variables and categorical variables. There are three options for continous variables: "mean", "median" and "random", and two options for categorical varaibles: "majority" and "random". The default method is "mean" for the continous part and "majority" for the categorical part.

Value

the same size data matrix with no missing value.

Examples

data(tic)
missdata <- SimIm(tic, 0.1)
sum(is.na(missdata))
impdata <- mixGuess(missdata)
sum(is.na(impdata))

imputeR documentation built on Jan. 21, 2020, 1:06 a.m.