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.
On Tuesday, August 5, 2014 5:36 AM, Alain D. <dialva...@yahoo.de> wrote:
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
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