Dear R-ers!
# I have a data frame with one factor and 2 numeric variables:
x<-data.frame(group=c("b","b","d","d","e","e"),a=c(1,NA,10,20,100,200),b=c(5,15,20,NA,10,30))
x
# I want to divide each value of each variable by its group mean -
using plyr and ddply. It works fine, for example, for variable "a":
library(plyr)
x2<-ddply(x, "group", transform, a = a / mean(a, na.rm = T))
x2
# Because I want to do the same for both variables (a and b) I want to
put it into a function.
# So, I am parametrising the grouping variable and the variable to transform.
# However, my code below is not working - I know that x[[variable]] is
not correct - but what is the right way of doing it?
grouping.factor<-"group"
variable<-"a"
x2<-ddply(x, grouping.factor, transform, x[[variable]] = x[[variable]]
/ mean(x[[variable]], na.rm = T))
Or is there a more effective way of using ddply on a bunch of variables?
Thank you very much for your advise!
--
Dimitri Liakhovitski
Ninah.com
dimitri.liakhovit...@ninah.com
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