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.
Details
A graphical display of the position of the missings can be help to detect dependencies or patterns within the missings.
Value
if clust is set to TRUE, the new order will be returned invisibly.
Author(s)
Andri Signorell <andri@signorell.net>, following an idea of Henk Harmsen <henk@carbonmetrics.com>
See Also
hclust
Examples
PlotMiss(d.pizza, main="Missing pizza data")
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(DescTools)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DescTools/PlotMiss.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PlotMiss
> ### Title: Plot Missing Data
> ### Aliases: PlotMiss
> ### Keywords: hplot
>
> ### ** Examples
>
> PlotMiss(d.pizza, main="Missing pizza data")
>
>
>
>
>
> dev.off()
null device
1
>