A few more came to mind: VIM package (for exploring missing data): http://cran.r-project.org/web/packages/VIM/index.html http://bm2.genes.nig.ac.jp/RGM2/index.php?scope=name&query=VIM
And the basic commands: * edit (for seeing the dataframe as in a spreadsheet) And the commands: * head (and) tail Tal ----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com/ (English) ---------------------------------------------------------------------------------------------- On Sun, Nov 22, 2009 at 3:15 PM, Tal Galili <tal.gal...@gmail.com> wrote: > Here is one more function for the list: > "whatis" > from the package: > "YaleToolkit" > See: > http://cran.r-project.org/web/packages/YaleToolkit/ > > > > I also like using: > ls() > ls.str() > And sometimes (for just one variable): > stem (which can be viewd as an ascii histogram) > > > Wonderful question and list, I hope for more answers. > > > Tal > > ----------------Contact > Details:------------------------------------------------------- > Contact me: tal.gal...@gmail.com | 972-52-7275845 > Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | > www.r-statistics.com/ (English) > > ---------------------------------------------------------------------------------------------- > > > > > > On Sun, Nov 22, 2009 at 12:01 AM, frenchcr <frenc...@btinternet.com>wrote: > >> >> i just found the following list, i wondered if anybody could add to this >> as i >> have to characterize a large data set and am new to R...the list below was >> so helpful....can you add to this??? >> >> Just to forestall confusion amongst those who would like to use one of >> the functions called "describe"... >> >> Hmisc package - describe >> numeric >> name >> count of observations >> count of missing values >> count of unique values >> mean >> seven quantiles >> five lowest and highest values >> discrete (factor or numeric with <= 10 unique values) - >> as for numeric, but >> no mean, quantiles or low/high values and >> including a frequency/percent display for each value. >> >> psych package - describe >> item name >> item number >> number of valid cases >> mean >> standard deviation >> median >> mad: median absolute deviation (from the median) >> minimum >> maximum >> skew (optional) >> kurtosis (optional) >> standard error >> >> prettyR package - describe >> numeric >> name >> mean >> median >> var >> sd >> valid.n >> the above are the defaults - the user can specify the name(s) of any >> function(s) as an argument to the function to customize the display. >> factor >> name >> count for each value >> percent for each value >> modal value >> count of missing values >> logical >> name >> count of FALSE >> count of TRUE >> percent of TRUE >> count of missing values >> >> >> >> ....are there any more packages that help decribe and explore data sets >> ???? >> -- >> View this message in context: >> http://old.nabble.com/other-decriptive-stats-packages-tp26460757p26460757.html >> Sent from the R help mailing list archive at Nabble.com. >> >> ______________________________________________ >> 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. >> > > [[alternative HTML version deleted]] ______________________________________________ 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.
