[R] Package functions to be included in R

Murray Cooper myrmail at earthlink.net
Tue Feb 10 05:07:09 CET 2009


A recent thread on summary statistics, got me thinking. (Note this may not
happen often.) A function that would do summaries as describe below (similar
to SAS PROC UNIVARIATE) might be a nice addition to the main R system. Is
there a process by which functions, from packages can eventually be
incorporated into R. The reason I ask, is having them in R would guarantee
they get adequate testing. This would be helpful, for GLP and GCP
validation.

Murray M Cooper, Ph.D.
Richland Statistics
9800 N 24th St
Richland, MI, USA 49083
Mail: richstat at earthlink.net

----- Original Message ----- 
From: "William Revelle" <lists at revelle.net>
To: "David Winsemius" <dwinsemius at comcast.net>; "phoebe kong"
<sityeekong at gmail.com>
Cc: <r-help at r-project.org>
Sent: Monday, February 09, 2009 9:06 PM
Subject: Re: [R] summary statistics


> At 6:41 PM -0500 2/9/09, David Winsemius wrote:
>>describe() in Hmisc provides much of the rest of what you asked for:
>>
>>>  describe(pref900$TCHDL)
>>pref900$TCHDL
>>       n missing  unique    Mean     .05     .10     .25     .50 .75
>> .90     .95
>>  906190    4469   16051   4.123   2.320   2.557   3.061   3.841   4.886
>> 6.054   6.867
>>
>>lowest :  0.9342  1.0200  1.0522  1.1008  1.1061, highest: 19.8696 20.1667
>>20.7619 21.6364 21.7200
>>
>
> As does describe in the psych package
>
> describe(sat.act)
>>  describe(sat.act)
>           var   n   mean     sd median trimmed    mad min max range skew
> kurtosis   se
> gender      1 700   1.65   0.48      2    1.68   0.00   1   2
>  1 -0.61    -1.62 0.02
> education   2 700   3.16   1.43      3    3.31   1.48   0   5
>  5 -0.68    -0.07 0.05
> age         3 700  25.59   9.50     22   23.86   5.93  13  65    52 1.64
> 2.42 0.36
> ACT         4 700  28.55   4.82     29   28.84   4.45   3  36    33 -0.66
> 0.53 0.18
> SATV        5 700 612.23 112.90    620  619.45 118.61 200 800   600 -0.64
> 0.33 4.27
> SATQ        6 687 610.22 115.64    620  617.25 118.61 200 800
> 00 -0.59    -0.02 4.41
>
> see also describe.by to break this down by some grouping variable.
>
> Bill
>
>
>
>
>>On Feb 9, 2009, at 6:04 PM, phoebe kong wrote:
>>
>>>Hi all,
>>>
>>>I'm wondering if there is a function that can return summary statistics:
>>>N=total number of observation, # missing, mean, median, range, standard
>>>deviation.
>>>
>>>As I know, summary() returns some of info I've mentioned above.
>>>
>>>Thanks,
>>>SY
>>>
>>> [[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.
>>
>>______________________________________________
>>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.
>
>
> -- 
> William Revelle http://personality-project.org/revelle.html
> Professor http://personality-project.org/personality.html
> Department of Psychology
> http://www.wcas.northwestern.edu/psych/
> Northwestern University http://www.northwestern.edu/
> Use R for psychology
> http://personality-project.org/r
>
> ______________________________________________
> 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.
>




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