I have got data with one column indicating the area where the data
was recorded:
R: n <- 43
R: df <- data.frame("area"=sample(1:7, n, repl=T), "dat"=rnorm(n))
In each of the 7 different areas I want to implement one of 7
specific strategies. The assignment should be random. Therefore, I
pair 7 areas with 7 strategies randomly by
R: ass <- as.data.frame(cbind("area"=sample(1:7, 7),
"strategy"=sample(1:7, 7)))
Now I want to create a new variable indicating, which case in the
original data should be assigned to which strategy. I thought
about
R: x <- numeric(n)
R: for(i in 1:7){
x[df[, "area"]==i] <- ass[ ass[, "area"]==i , "strategy"]
}
and then binding the new variable to the data frame
R: str(df2 <- as.data.frame(cbind(df, "strategy"=x)))
which works fine. My question is whether there is a more elegant
way?
Thanks, *S*
--
Sascha Vieweg, saschav...@gmail.com
______________________________________________
R-help@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.
