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
--
View this message in context:
http://www.nabble.com/use-of-class-variable-in-r-as-in-Proc-means-of-sas-tp25530654p25531047.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
[email protected] 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.
