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CorReg (version 1.1.1)

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

Run this code
## 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)


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