Ugh...This should be very simple, but evidently I am not searching for the proper term.
Given the below: val_size<-100000 x_vals<-rnorm(val_size) I would like to group them according to the following x_vals_mean_tmp[1]<-mean(x_vals[1:10]) x_vals_mean_tmp[2]<-mean(x_vals[11:20]) ... x_vals_mean_tmp[n]<-mean(x_vals[99991:100000]) Then, I would like to group them according to the following x_vals_mean_tmp[1]<-mean(x_vals[1:100]) x_vals_mean_tmp[2]<-mean(x_vals[101:200]) ... x_vals_mean_tmp[m]<-mean(x_vals[99901:100000]) etc. I'm pretty sure I can come up with a loop to do this, but wondering if there is something that will allow me to break up the x_vals vector according to a certain step size. I looked at split and cut, but those did not appear to accomplish what is needed. Thanks again. ______________________________________________ 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.
