Hi, subset function is use to select rows of a dataframe. just compute >mean(results$q1) without subset instruction, or >mean(results[,4])
Peter Wolkerstorfer - CURE <[EMAIL PROTECTED]> a écrit : Hello all, I hope i chose the right list as my question is a beginner-question. I have a data set with 3 colums "London", "Rome" and "Vienna" - the location is presented through a 1 like this: London Rome Vienna q1 0 0 1 4 0 1 0 2 1 0 0 3 .... .... .... I just want to calculate the means of a variable q1. I tried following script: # calculate the mean of all locations results <- subset(results, subset== 1 ) mean(results$q1) # calculate the mean of London results <- subset(results, subset== 1 , select=c(London)) mean(results$q1) # calculate the mean of Rome results <- subset(results, subset== 1 , select=c(Rome)) mean(results$q1) # calcualate the mean of Vienna results <- subset(results, subset== 1 , select=c(Vienna)) mean(results$q1) 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. Regards Peter ___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] [EMAIL PROTECTED] [Web] http://www.cure.at ______________________________________________ R-help@stat.math.ethz.ch 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. --------------------------------- [[alternative HTML version deleted]]
______________________________________________ R-help@stat.math.ethz.ch 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.
