View source: R/missiogram.ade.R
missiogram.ade | R Documentation |
Overview of missing values in a data.frame
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)
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. |
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.
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)
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