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.
