plotmissingsummary: Plot a Missing Summary

In compositions: Compositional Data Analysis

Plot a Missing Summary

Description

Plots a missing summary as a barplot

Usage

## S3 method for class 'missingSummary'
plot(x,...,main="Missings",legend.text=TRUE,
                    col=c("gray","lightgray","yellow","red","white","magenta"))
 as.missingSummary(x,...)

Arguments

x	a missingSummary table with columns representing different types of missing
...	further graphical parameters to barplot
main	as in barplot
legend.text	as in barplot
col	as in barplot

Details

The different types of missings are drawn in quasi-self-understandable colors: normal gray for NMV, and lightgray as for BDL (since they contain semi-numeric information), yellow (slight warning) for MAR, red (serious warning) for MNAR, white (because they are non-existing) for SZ, and magenta for the strange case of errors.

Value

called for its side effect. The return value is not defined.

Author(s)

K.Gerald van den Boogaart

References

See compositions.missings for more details.

See Also

missingSummary

Examples

data(SimulatedAmounts)
x <- acomp(sa.lognormals)
xnew <- simulateMissings(x,dl=0.05,MAR=0.05,MNAR=0.05,SZ=0.05)
xnew
plot(missingSummary(xnew))

compositions documentation built on June 22, 2024, 12:15 p.m.