Hi,
dat<-as.data.frame(cbind(c("a","a","a","b","b"), c(1,2,3,3,2),c(4,3,5,4,4)))
str(dat)
#'data.frame': 5 obs. of 3 variables:
# $ V1: Factor w/ 2 levels "a","b": 1 1 1 2 2
# $ V2: Factor w/ 3 levels "1","2","3": 1 2 3 3 2
# $ V3: Factor w/ 3 levels "3","4","5": 2 1 3 2 2
#better way would
Sorry, there's a bug in my previous answer.
dat <- data.frame(c("a","a","a","b","b"), c(1,2,3,3,2), c(4,3,5,4,4))
aggregate(as.matrix(dat[,-1]) ~ dat[,1], FUN = mean)
Don't use as.data.frame(cbind(...)), everything becomes factors.
Rui Barradas
Em 22-11-2013 23:02, Rui Barradas escreveu:
He
Hello,
Try the following.
aggregate(cbind(V2, V3) ~ V1, dat, FUN = mean)
Hope this helps,
Rui Barradas
Em 22-11-2013 21:43, john d escreveu:
Dear all,
I apologize for the newbie question, but I'm stuck.
I have a data frame in the following form:
dat<-as.data.frame(cbind(c("a","a","a","b"
On Nov 22, 2013, at 1:43 PM, john d wrote:
> Dear all,
>
> I apologize for the newbie question, but I'm stuck.
>
> I have a data frame in the following form:
>
> dat<-as.data.frame(cbind(c("a","a","a","b","b"), c(1,2,3,3,2),c(4,3,5,4,4)))
>
> I need a way to generate a new dataframe with the
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