P.S.
If you want to use your function, revised, it may be a good idea: it's
faster
#write indexed mean function
meanfun <- function(x, inx, na.rm=FALSE) {
meanSD <- matrix(0, nrow=length(levels(inx)), ncol=length(3:ncol(x)))
for(i in 3:ncol(x)) {
meanSD[, i - 2] <
Hello,
I believe that the following solves it:
aggregate(SD[, 3:ncol(SD)], by=list(ID), mean)
aggregate(SD[, 3:ncol(SD)], by=list(ID), mean, na.rm=TRUE)
It's the second you want, it will compute the means for groups that aren't
only NA
and return NaN for groups with all values NA.
Rui Barradas
On Jan 9, 2012, at 12:02 AM, jawbonemurphy wrote:
Hi Dave,
Thanks for your response!
I'm new at R, and I'm afraid I'm not sure what you mean by:
?lapply
?"["
?order
It means I thought you might get the answers you needed by looking at
those functions' help pages.
Were these suggestio
Hi Dave,
Thanks for your response!
I'm new at R, and I'm afraid I'm not sure what you mean by:
?lapply
?"["
?order
Were these suggestions for other commands to try? If so, can you be more
specific? I apologize for being clueless :)
Secondly, you're right that the script I have now leaves me
On Jan 8, 2012, at 4:48 PM, jawbonemurphy wrote:
Hi,
I am trying to create a script that will evaluate each column of a
data
frame, regardless of # columns, using some function and sorting the
results
by an index vector:
?lapply
?"["
?order
#upload data (112 rows x 73 columns)
SD <- r
Hi,
I am trying to create a script that will evaluate each column of a data
frame, regardless of # columns, using some function and sorting the results
by an index vector:
#upload data (112 rows x 73 columns)
SD <- read.csv("/Users/johnjacob/Desktop/StudentsData_RInput.csv",
header=TRUE)
#assign
It looks like you are test against TAZDetermine before it is defined.
Try something like this:
while(TRUE){
...generate random number
if (value > Dev_size) break
}
On Tue, Sep 30, 2008 at 6:56 PM, PDXRugger <[EMAIL PROTECTED]> wrote:
>
> I am looking up a number based upon a randomly sele
I am looking up a number based upon a randomly selected number and then
proceed to the rest of my code if the corresponding value is greater than or
equal to yet another value.
so if
Dev_Size = 14
and my randomly selected number is 102
and i am looking up 102 in the following table
100 21
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