Re: [R] Summary Stats (not summary(x))

From: nmarti <nate318i_at_yahoo.com>
Date: Wed, 09 Jul 2008 17:53:29 -0700 (PDT)

Thanks Gabor.
I was able to create a function that works really well. One more quick question if you don't mind.
I want to report the number of observations also (i.e. n = 5420). What function would do this? I really can't find anything that would just simply count the number of x's.
Thanks again.

Gabor Csardi wrote:

> 
> Why don't you write it for yourself, it takes less time than writing 
> an email:
> 
> mysummary <- function(x) { 
>  require(plotrix)
>  require(e1071)
>  c(Mean=mean(x), Std.Error=std.error(x), Std.Deviation=sd(x), 
>    Kurtosis=kurtosis(x))
> }
> 
> Gabor
> 
> On Wed, Jul 09, 2008 at 08:15:00AM -0700, nmarti wrote:

>>
>> I'm looking for a function that lists a few summary stats for a column
>> (or
>> row) of data. I'm aware of summary(x), but that does not give me what
>> I'm
>> looking for.
>> I'm actually looking for something that is very similar to the
>> descriptive
>> statistics tool in excel; i.e. Mean, Std. Error, Std. Deviation,
>> Kurtosis.
>> I'm positive that I came across a function that did this (possibly in
>> Rmetrics), but now I can't find it. I lost it in the endless mass of R
>> functions.
>>
>> Any help would be appreciated.
>> --
>> View this message in context:
>> http://www.nabble.com/Summary-Stats-%28not-summary%28x%29%29-tp18363275p18363275.html
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> R-help_at_r-project.org mailing list
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>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
> 
> -- 
> Csardi Gabor <csardi_at_rmki.kfki.hu>    UNIL DGM
> 
> ______________________________________________
> 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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Received on Thu 10 Jul 2008 - 01:29:23 GMT

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