Hi
I am a newbie to R but have tried a number of ways in R to do this and
can't find a good solution. (I could do it out of R in perl or awk but
would like to know how to do this in R).
I have a large data frame 49 variables and 7000 observations however for
simplicity I can express it in the
On Nov 9, 2007 5:56 AM, Sandy Small [EMAIL PROTECTED] wrote:
Hi
I am a newbie to R but have tried a number of ways in R to do this and
can't find a good solution. (I could do it out of R in perl or awk but
would like to know how to do this in R).
I have a large data frame 49 variables and
Thank you very much.
That works nicely.
The trick I particularly needed was withinwhich I didn't know about.
Also nice to get a data frame out with sparseby instead of just a
mulit-array with by
Sandy
Duncan Murdoch wrote:
Sandy Small wrote:
Hi
I am a newbie to R but have tried a number of
On 11/9/2007 10:22 AM, Sandy Small wrote:
Thank you very much.
That works nicely.
The trick I particularly needed was withinwhich I didn't know about.
within() is new in 2.6.0; it's a nice addition. There's also
transform() which could be used in this situation, replacing
within(subset, {
To: r-help@r-project.org
Subject: [R] Normalizing grouped data in a data frame
Hi
I am a newbie to R but have tried a number of ways in R to do
this and can't find a good solution. (I could do it out of R
in perl or awk but would like to know how to do this in R).
I have a large data frame
Greg Snow wrote:
Here is another approach using transform and ave which I think is a
little simpler than the others suggested:
new.data - transform( iris,
+ normSW = Sepal.Width / ave(Sepal.Width, Species, FUN=max),
+ normSL = Sepal.Length / ave(Sepal.Length, Species, FUN=max)
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