CorReg (version 1.0.5)

showdata: To show the missing values of a dataset

Description

Plot the dataset with marks where there are missing value. It allows to have a quick idea of the structure of missing values (Missing at Random or not for example).

Usage

showdata(X = X, what = c("miss", "correl"), pch = 7)

Arguments

X

the matrix to analyse (matrix with missing values or correlations matrix)

what

indicates what to plot. If what="correl" and X is a correlation matrix then the plot is a correlation plot. Else it shows the missing values positions in the dataset.

pch

for missing, symbol to plot (can set pch="." for large datasets)

Examples

data<-mtcars
   require(CorReg)
  datamiss=Terminator(target = data,wrath=0.05)#5% of missing values
  showdata(datamiss)#plot positions of the missing values

  #missing values with a structure
  datamiss=Terminator(target = data,diag=1)#diag of missing values
  showdata(datamiss)#plot positions of the missing values (no full individuals, no full variable)

  opar=par(no.readonly = TRUE)
  showdata(X=cor(data),what="correl")
  par(opar)