showdata: To show the missing values of a dataset
In CorReg: Linear Regression Based on Linear Structure Between Variables

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).

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

`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)

data <- mtcars
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)