[R] Frequency and summary statistics table with different variables and categories

[ronggui]

Since %male is basically the mean if you code male=1 and female=0,
which is more informative than absolute frequency. So, you may want to
have a glance at doBy package, especially the summaryBy function.

All the best

On Thu, Jan 22, 2009 at 7:17 PM, Stefan Björk <stefan.bjork at gmail.com> wrote:
> Hello helpers,
>
> This is probably quite simple, but I'm stuck.
>
>  I want to create a summary statistics table with frequencies and summary
> statistics for a large number of variables. The problem here is that (1)
> there are two different classes of categories (sex, type of substance abuse
> and type of treatent) which overlap, (2) the data for different variables
> should be presented in different ways -- sometimes with relative
> frequencies, other times with mean values.
>
> The table would finally look something like:
>
>                   All  Male  Female Alcohol Drug ...
> Age             (mean) (mean) ...
> Sex (% male)    (freq) (freq) ...
> Alcohol CS      (mean) (mean) ...
> ...              ...
>
> Data is in a data frame with quite a lot of columns (variables) and each row
> represents a single case.
>
> I have found out that part of this can be done with tapply, for example
> tapply(age, sex, mean) and join it with tapply(age, abuse, mean). But how to
> do with frequencies? Or is there an even simpler way?
>
> /S
>
>        [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>



-- 
HUANG Ronggui, Wincent
Tel: (00852) 3442 3832
PhD Candidate
Dept of Public and Social Administration
City University of Hong Kong
Homepage: http://ronggui.huang.googlepages.com/