createNA: Create missing value for a dataset

In agnesdeng/misle: Multiple imputation through statistical learning

Create missing value for a dataset

Description

Create missing value for a dataset

Usage

createNA(data, names = NULL, p = 0.3, seed = NULL)

Arguments

data	a dataframe
p	the proportion of missing values in the dataframe
seed	random seed, a singlue value

Examples

#create 30% MCAR data across all variables in a dataset
withNA.df<-createNA(iris,p=0.3)

#create 30% MCAR data in a specified variable in a dataset
withNA.df=createNA(iris,names=c("Sepal.Length"),p=0.3)

#create MCAR data in several specified variables in a dataset
withNA.df=createNA(iris,names=c("Sepal.Length","Petal.Width","Species"),p=c(0.3,0.2,0.1))

agnesdeng/misle documentation built on Sept. 22, 2023, 8:48 p.m.