[R] Beginner question: select cases
HDoran at air.org
Mon Sep 25 14:11:30 CEST 2006
There is a much easier way to do this. First, you should consider
organizing your data as follows:
set.seed(1) # for replication only
# Here is a sample dataframe
tmp <- data.frame(city = gl(3,10, label = c("London", "Rome","Vienna"
)), q1 = rnorm(30))
# Compute the means
with(tmp, tapply(q1,city, mean))
London Rome Vienna
0.1322028 0.2488450 -0.1336732
I hope this helps
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Peter
> Wolkerstorfer - CURE
> Sent: Monday, September 25, 2006 7:51 AM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Beginner question: select cases
> Hello all,
> I hope i chose the right list as my question is a beginner-question.
> I have a data set with 3 colums "London", "Rome" and
> "Vienna" - the location is presented through a 1 like this:
> London Rome Vienna q1
> 0 0 1 4
> 0 1 0 2
> 1 0 0 3
> I just want to calculate the means of a variable q1.
> I tried following script:
> # calculate the mean of all locations
> results <- subset(results, subset== 1 )
> # calculate the mean of London
> results <- subset(results, subset== 1 , select=c(London))
> # calculate the mean of Rome
> results <- subset(results, subset== 1 , select=c(Rome))
> # calcualate the mean of Vienna
> results <- subset(results, subset== 1 , select=c(Vienna))
> As all results are 1.68 and there is defenitely a difference
> in the three locations I wonder whats going on.
> I get confused as the Rcmdr asks me to overwrite things and
> there is no "just filter" option.
> Any help would be apprechiated. Thank you in advance.
> ___CURE - Center for Usability Research & Engineering___
> Peter Wolkerstorfer
> Usability Engineer
> Hauffgasse 3-5, 1110 Wien, Austria
> [Tel] +43.1.743 54 51.46
> [Fax] +43.1.743 54 51.30
> [Mail] wolkerstorfer at cure.at
> [Web] http://www.cure.at
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
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