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.
