extract descriptive stats for categorial data from dataframe

You could try:
lv <- levels(unique(unlist(df)))
as.data.frame(t(apply(df, 2, function(x) table(factor(x, levels=lv)))))
??? +? - 0
i1 10? 0 0
i2 10? 0 0
i3? 0 10 0
i4? 0? 9 1
i5 10? 0 0
i6? 1? 9 0
i7? 9? 0 1
i8? 4? 2 4
i9? 7? 1 2
A.K.

Dear R-List,

I want to have descriptive stats in a special form and cannot figure out a nice
solution.

df<-as.data.frame(cbind(i1=rep("+"),i2=rep("+",10),i3=rep("-",10),i4=c(rep("-",2),"0",rep("-",7)),i5=rep("+",10),i6=c(rep("-",9),"+"),i7=c(rep("+",4),"0",rep("+",5)),i8=c(rep(0,4),rep("+",3),"-","+","-"),i9=c(rep("+",5),"-",rep("+",2),rep(0,2))))

now I want the categories as var labels arranged in cols with IDs as first col
and then frequencies for each category. Something like this:

var?  +?  -? ? 0
i1? ? 10? 0? ? 0
i2? ? 10? 0? ? 0
i3? ?  0 10? ? 0
i4? ?  0? 9? ? 1
i5? ? 10? 0? ? 0
i6? ?  1? 9? ? 0
i7? ?  9? 0? ? 1
i8? ?  4? 2? ? 4
i9? ?  7? 1? ? 2

I tried different combinations of

freq<-as.data.frame(df<-lapply(df,table))

but was not very successful.

I would be very thankful for an easy solution which is probably to obvious for
me to spot.

Thank you very much.

Best wishes

Alain
??? [[alternative HTML version deleted]]

______________________________________________
R-help at r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.