On Jul 10, 2012, at 11:30 AM, "Nordlund, Dan (DSHS/RDA)" <nord...@dshs.wa.gov> wrote:
>> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- >> project.org] On Behalf Of Rantony >> Sent: Tuesday, July 10, 2012 3:17 AM >> To: r-help@r-project.org >> Subject: [R] Use of Sappy and Tappy for Mathematical Calculation >> >> Hi, >> >> i have a matrix like this, >> >> ABC XYZ ...... ..... ..... >> ----- ------ >> 12 20 ...... ..... ..... >> 24 35 ...... ..... ..... >> 30 40 ...... ..... ..... >> >> Here, i need to get >> Sum of each columns, >> Mean of each columns, >> median of each columns, >> mode of each columns, >> Standard deviation of each columns, >> variance of each columns, >> range of each columns, >> count of each columns, >> max of each columns, >> min of each columns >> >> Can i get output using sappy or tappy functions ? because there have >> alots >> of records. I like Dan's solution a lot and it teaches inportant idioms, but I might suggest that you use the col***() functions from the MatrixStats package if speed/data-size is of issue. Best, Michael >> >> Could you please help me fast its kind of urgent ! >> >> - Thanks >> Antony >> > > Here is some code to get you started. You can add in the other functions > that you want. You will need to figure out what you want to do if there are > missing values. There are built-in functions for most everything you want. > You get the range from the min and the max, and you need to decide what to do > if a variable has 2 or more modes (you will also need to determine how you > are going to get the mode). > > > # here is sample matrix > mat <- matrix(1:100,nrow=10) > colnames(mat) <- LETTERS[1:10] > > # define summarize function > summarize <- function(m) { > sums <- apply(m, 2, sum) > counts <- apply(m, 2, length) > means <- apply(m, 2, mean) > return(rbind(sums, counts, means)) > } > > # summarize your matrix > summarize(mat) > > > Hope this is helpful, > > Dan > > Daniel J. Nordlund > Washington State Department of Social and Health Services > Planning, Performance, and Accountability > Research and Data Analysis Division > Olympia, WA 98504-5204 > > > ______________________________________________ > 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.
