To be precise:
paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
is an expression that evaluates to a character string:
"round(quantile(x,.25),0) - round(quantile(x,0.75),0)"
no matter what the argument of your function, x. Hence
return(paste(...)) will return this exact character string and never
evaluates x.
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Apr 19, 2016 at 8:34 AM, William Dunlap via R-help
<r-help@r-project.org> wrote:
>> That didn't work Jim!
>
> It always helps to say how the suggestion did not work. Jim's
> function had a typo in it - was that the problem? Or did you not
> change the call to ddply to use that function. Here is something
> that might "work" for you:
>
> library(plyr)
>
> data <- data.frame(groupColumn=rep(1:5,1:5), col1=2^(0:14))
> myIqr <- function(x) {
> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
> }
> ddply(data, ~groupColumn, summarise, col1_myIqr=myIqr(col1),
> col1_IQR=stats::IQR(col1))
> # groupColumn col1_myIqr col1_IQR
> #1 1 1-1 0
> #2 2 2-4 1
> #3 3 12-24 12
> #4 4 112-320 208
> #5 5 2048-8192 6144
>
> The important point is that
> paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
> is not a function, it is an expression. ddplyr wants functions.
>
>
> Bill Dunlap
> TIBCO Software
> wdunlap tibco.com
>
> On Tue, Apr 19, 2016 at 7:56 AM, Michael Artz <michaelea...@gmail.com>
> wrote:
>
>> That didn't work Jim!
>>
>> Thanks anyway
>>
>> On Mon, Apr 18, 2016 at 9:02 PM, Jim Lemon <drjimle...@gmail.com> wrote:
>>
>> > Hi Michael,
>> > At a guess, try this:
>> >
>> > iqr<-function(x) {
>> >
>> return(paste(round(quantile(x,0.25),0),round(quantile(x,0.75),0),sep="-")
>> > }
>> >
>> > .col3_Range=iqr(datat$tenure)
>> >
>> > Jim
>> >
>> >
>> >
>> > On Tue, Apr 19, 2016 at 11:15 AM, Michael Artz <michaelea...@gmail.com>
>> > wrote:
>> > > Hi,
>> > > I am trying to show an interquartile range while grouping values
>> using
>> > > the function ddply(). So my function call now is like
>> > >
>> > > groupedAll <- ddply(data
>> > > ,~groupColumn
>> > > ,summarise
>> > > ,col1_mean=mean(col1)
>> > > ,col2_mode=Mode(col2) #Function I wrote for getting
>> the
>> > > mode shown below
>> > >
>> > > ,col3_Range=paste(as.character(round(quantile(datat$tenure,c(.25)))),
>> > > as.character(round(quantile(data$tenure,c(.75)))), sep = "-")
>> > > )
>> > >
>> > > #custom Mode function
>> > > Mode <- function(x) {
>> > > ux <- unique(x)
>> > > ux[which.max(tabulate(match(x, ux)))]
>> > > }
>> > >
>> > > I am not sre what is going wrong on my interquartile range function, it
>> > > works on its own outside of ddply()
>> > >
>> > > [[alternative HTML version deleted]]
>> > >
>> > > ______________________________________________
>> > > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> > > 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.
>> >
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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.
>>
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
