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 be
dat<-data.frame(V1=c("a","a","a","b","b"), V2=c(1,2,3,3,2),V3=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: num 1 2 3 3 2
# $ V3: num 4 3 5 4 4
library(plyr)
ddply(dat,.(V1),colwise(mean))
#or
aggregate(.~V1,data=dat,mean)
A.K.
On Friday, November 22, 2013 5:45 PM, john d <dobzhan...@gmail.com> 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 average for each factor.
The result should look like:
res<-as.data.frame(cbind(c("a","b"), c(2,2.5),c(4,4)))
Any help would be greatly appreciated.
Jonathan
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