DescTools (version 0.99.37)

PlotMiss: Plot Missing Data

Description

Takes a data frame and displays the location of missing data. The missings can be clustered and be displayed together.

Usage

PlotMiss(x, col = hred, bg = SetAlpha(hecru, 0.3), clust = FALSE,
         main = NULL, ...)

Arguments

x

a data.frame to be analysed.

col

the colour of the missings.

bg

the background colour of the plot.

clust

logical, defining if the missings should be clustered. Default is FALSE.

main

the main title.

…

the dots are passed to plot.

Value

if clust is set to TRUE, the new order will be returned invisibly.

Details

A graphical display of the position of the missings can be help to detect dependencies or patterns within the missings.

See Also

hclust, CountCompCases

Examples

# NOT RUN {
PlotMiss(d.pizza, main="Missing pizza data")
# }

Run the code above in your browser using DataCamp Workspace