[R] Trouble Combining With Paste
Phil Spector
spector at stat.berkeley.edu
Wed May 25 18:23:11 CEST 2011
John -
Try
infert[,toolong] = sapply(infert[,toolong],cut2,g=10,levels.mean=TRUE)
- Phil Spector
Statistical Computing Facility
Department of Statistics
UC Berkeley
spector at stat.berkeley.edu
On Wed, 25 May 2011, Sparks, John James wrote:
> Dear R Helpers,
>
> I am having trouble combining some pieces of programming that work fine
> individually, but fall down when I try to get them to work together.
>
> The end goal is to take a data frame, and if any of the variables has more
> than 10 values, then use cut2 to reduce the number of (effective) values
> to 10. I want to do this in automated fashion, which is where the
> combining comes in.
>
> For example all of these pieces work as I would expect:
>
>
> tables<-lapply(infert,table)
> lengths<-lapply(tables,length)
> toolong<-which(lengths>10)
>
> require(Hmisc)
>
> foo<-as.numeric(cut2(infert$age,g=10,levels.mean=TRUE))
> str(foo)
> #num [1:248] 2 10 9 7 7 8 1 6 1 3 ...
>
> bar<-paste("inftert$",attr(toolong[1],"names"),sep="")
> bar
> #[1] "inftert$age"
>
> But the following gives an error:
>
> foobar<-as.numeric(cut2(paste("inftert$",attr(toolong[1],"names"),sep=""),g=10,levels.mean=TRUE))
> Error in min(diff(x.unique))/2 : non-numeric argument to binary operator
> In addition: Warning message:
> In min(diff(x.unique)) : no non-missing arguments, returning NA
>
>
> Your guidance would be much appreciated.
>
> --John J. Sparks, Ph.D.
>
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