showdata: To show the missing values of a dataset

In CorReg: Linear Regression Based on Linear Structure Between Variables

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

## Not run: 
   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)


## End(Not run)

CorReg documentation built on Sept. 6, 2019, 3 a.m.