Thanks for the replies The file is below
Height Frequency 62 3 63 20 64 24 65 40 66 85 67 122 68 139 69 179 70 139 71 107 72 55 73 47 74 22 75 12 76 5 77 1 I use the following data <- read.table("file",header=T) attach(data) summary(data) gives 2 summary fields height and frequency I want 1 based on height with frequency taken into account. If I do long <- as.data.frame(lapply(data, function(x) rep(x, Frequency))) long[,1] summary(long) The first column gives the answer that I am looking for but I just thought their maybe a better way without using the long variable Thanks Dan On Tue, Feb 22, 2011 at 1:32 PM, Bryan Hanson <han...@depauw.edu> wrote: > Daniel, how is the data stored? The answer to your question may be as > simple as > >> df <- read.csv("filename.csv") >> summary(df) > > See ?read.csv for info on reading various file formats. > > HTH, Bryan > **************** > Prof. Bryan Hanson > Dept of Chemistry & Biochemistry > DePauw University > 602 S. College Ave > Greencastle IN 46135 USA > > On Feb 22, 2011, at 7:20 AM, Daniel Harris wrote: > >> Hello >> >> Is it possible to get summary statistics (inc mean, sd etc) from a >> text file that has the following info stored in it? >> >> Height Frequency >> >> 123 5 >> 124 8 >> 125 3 >> 126 9 >> 127 7 >> >> etc etc >> >> Now I know I can convert the file to a single list outside of R using >> python etc and I can convert the file to a single list inside R using >> a series of (what I find) complicated commands. >> >> Is there a simple way of doing summary(Height,Frequency) >> >> Thanks in advance >> Dan >> >> ______________________________________________ >> R-help@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. > > ______________________________________________ R-help@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.