missiogram.ade {epade} | R Documentation |
Missing Value Plot
Description
Overview of missing values in a data.frame
Usage
missiogram.ade(vars=NULL, vnames=NULL, data=NULL, ints=50, nvars=50,
xlab="ID", ylab="Variables", main="Missing Value Plot",
ylab2="N. Missings", col=NULL, tcol=NULL, bgcol=NULL, wall=0)
Arguments
vars |
a vector of character strings with names of variables in data.frame |
vnames |
a vector of character strings with labels for the variables |
data |
a data.frame, it is possible to give only the data.frame. |
ints |
a integer giving number of intervals on x axis |
nvars |
number of variables in data.frame to be shown if only the data.frame ist given |
xlab |
a title for the x axis |
ylab |
a title for the y axis |
main |
an overall title for the plot |
ylab2 |
a title for the second y axis |
col |
color of the symbols |
tcol |
color of the text in whole plot |
bgcol |
the background color for plot dekoration |
wall |
a number between 0 and 6 for selection the dekoration style of the plot. |
Details
One, two or three points indicate respectively number of missing values in this section. More then 3 missing values will be shown with a semi-transparency surface over the section. No semi-transparency means, all the values are missing in this section.
Examples
data<-rnorm(1000)
data<-as.data.frame(data)
for(i in 1:20){
eval(parse(text=paste("data$var_", i, "<- rnorm(1000)", sep='')))
eval(parse(text=paste("data$var_", i,
"[round(runif(round(runif(1, 1, 100)), 1, 1000))]<-NA", sep='')))
}
missiogram.ade(data=data)