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
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On Sun, Nov 22, 2009 at 12:01 AM, frenchcr <frenchcr@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.
>
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