Grouping Numbers
Jorge,
Thank you very much for your post.
I tried the below with a few modifications:
# First case
N<-100000
X<-rnorm(N)
step_size<-1
# Groups
g<-rep(1:(N/step_size),each=step_size)
# The result
tmp_output<-tapply(X,g,mean)
length_tmp_output<-length(tmp_output)
tmp_x_vals<-rep(step_size,length_tmp_output)
plot(tmp_x_vals, tmp_output)
for(ii in 1:val_size)
{
step_size<-ii
# Groups
g<-rep(1:(N/step_size),each=step_size)
# The result
tmp_output<-tapply(X,g,mean)
length_tmp_output<-length(tmp_output)
tmp_x_vals<-rep(step_size,length_tmp_output)
points(tmp_x_vals, tmp_output)
}
However, when I change the step_size to 100, I receive the following error:
"Error in tapply(X, g, mean) : arguments must have same length"
Do you have any idea why the for loop crashes?
I figured it would run smooth since it runs fine prior to the loop.
Thanks for any insights.
--- On Tue, 3/24/09, Jorge Ivan Velez <jorgeivanvelez at gmail.com> wrote:
From: Jorge Ivan Velez <jorgeivanvelez at gmail.com> Subject: Re: [R] Grouping Numbers To: jasonkrupert at yahoo.com Cc: R-help at r-project.org Date: Tuesday, March 24, 2009, 10:28 PM Dear Jason, Try this: # First case N<-100000 X<-rnorm(N) # Groups g<-rep(1:(N/n),each=10) # The result tapply(X,g,mean) For the second case, just change each=10 by each=100 and run again the code above. HTH, Jorge On Tue, Mar 24, 2009 at 10:52 PM, Jason Rupert <jasonkrupert at yahoo.com>wrote:
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 at 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.