[R] use of class variable in r as in Proc means of sas

[ONKELINX, Thierry]

You might need to change the type quantile. The default is type = 7,
whereas default for SAS is type = 3 and for SPSS type = 6. Have a look
at the helpfile of quantile() for more details on the type. 

HTH,

Thierry

------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for Nature
and Forest
Cel biometrie, methodologie en kwaliteitszorg / Section biometrics,
methodology and quality assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
Thierry.Onkelinx at inbo.be
www.inbo.be

To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher

The plural of anecdote is not data.
~ Roger Brinner

The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey

-----Oorspronkelijk bericht-----
Van: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org]
Namens premmad
Verzonden: woensdag 23 september 2009 10:56
Aan: r-help at r-project.org
Onderwerp: Re: [R] use of class variable in r as in Proc means of sas


Thanks for the help.I got the required quantiles by altering ur code as
follows 

qfu<-function(x,digits=3,sci=F,...)
{c(q=quantile(x,probs=c(5,90)/100))
}
and my result of the R system is different from my sas system output for
the same function  .could anyone help me in this and what is the reason
for difference in results .I have attached both outputs R output:
    zip price.q.5%  price.q.90%
1 60000   567000.0  567000
2 60001   709184.4  390626852
3 60002 20349692.4  358154046
4 60003 49847874.0  49847874
5 60004   469447.9  3972289
6 60005  5431407.0  88118012
7 60006 23457082.6  341022805

SAS output:
 zip    Obs        5th Ptcl       90th Pctl                          
                                           
 60000      1       567000.00       567000.00                          


 60001      3       478654.00       487587575                          


60002      2       478848.00       397895735                          


60003      1     49847874.00     49847874.00                          


60004      3       467648.00      4843949.00                          


60005      2       567489.00     97845848.00                          


60006      2      4776746.00       378383478
I have already checked that SAS and SPSS produces the same output.Do i'm
missing anything when using the function quantile
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