Here's the code that does the job for quartiles (0,25,50,75,100). To get to
your objective of (5,10,25,75,90) is left as an exercise. There are several
well-written introductory books in R, in addition to the freely available
presentations and other online resources. I think you should spend some time
going thru' them.
----------------------
library(doBy)
Lines <- "zip price
60000 567000
60001 478654
60004 485647
60001 2783958
60005 97845848
60006 378383478
60002 397895735
60001 487587575
60002 478848
60003 49847874
60004 467648
60005 567489
60006 4776746
60004 4843949"
DF <- read.table(con<- textConnection(Lines), skip = 1)
close(con)
names(DF) <- scan(textConnection(Lines), what = "", nlines = 1)
qfun <- function(x, digits=3,sci=F,...){
c(q=quantile(x, ...))
}
summaryBy(price~zip,data=DF,FUN=qfun,na.rm=TRUE)
--------------------------------------
cheers,
-Girish
===========================
premmad wrote:
>
> Hi,everyone i need to calculate quartile values of a variable grouped by
> the other variable .
> same as in aggregate function(only median,mean or functions is possible-i
> think so)
> Could you please help me to achieve the same for other quartile
> values(5,10,25,75,90) as for median using aggregate.
> Thanks in advance.
> data :
> zip price
> 60000 567000
> 60001 478654
> 60004 485647
> 60001 2783958
> 60005 97845848
> 60006 378383478
> 60002 397895735
> 60001 487587575
> 60002 478848
> 60003 49847874
> 60004 467648
> 60005 567489
> 60006 4776746
> 60004 4843949
> what i want is quartile values of price grouped by zip
>
--
View this message in context:
http://www.nabble.com/use-of-class-variable-in-r-as-in-Proc-means-of-sas-tp25530654p25530997.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
R-help@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.
