Hi Jim, So that does the rescale part very efficiently. But I’d like to know
how to do that on each list element using lapply or llply. I have about 4 data
frames and a few other recodes to do so automating would be nice, rather than
applying your code to each individual list element.
simon
> On Apr 2, 2015, at 6:30 PM, Jim Lemon <drjimle...@gmail.com> wrote:
>
> Hi Simon,
> How about this?
>
> library(plotrix)
> revlist<-grep("i",names(df),fixed=TRUE)
> df[,revlist]<-sapply(df[,revlist],rescale,c(3,1))
>
> Jim
>
>
> On Fri, Apr 3, 2015 at 6:30 AM, Simon Kiss <sjk...@gmail.com
> <mailto:sjk...@gmail.com>> wrote:
> Hi there: I have a list of data frames with identical variable names. I’d
> like to reverse scale the same variables in each data.frame.
> I’d appreciate any one’s suggestions as to how to accomplish this. Right now,
> I’m working with the code at the very bottom of my sample data.
> Thanks, Simon Kiss
>
> #Create data.frame1
> df<-data.frame(
> ivar1=sample(c(1,2,3), replace=TRUE, size=100),
> ivar2=sample(c(1,2,3), replace=TRUE, size=100),
> hvar1=sample(c(1,2,3), replace=TRUE, size=100),
> hvar2=sample(c(1,2,3), replace=TRUE, size=100),
> evar1=sample(c(1,2,3), replace=TRUE, size=100),
> evar2=sample(c(1,2,3), replace=TRUE, size=100)
> )
>
> #data.frame2
> df1<-data.frame(
> ivar1=sample(c(1,2,3), replace=TRUE, size=100),
> ivar2=sample(c(1,2,3), replace=TRUE, size=100),
> hvar1=sample(c(1,2,3), replace=TRUE, size=100),
> hvar2=sample(c(1,2,3), replace=TRUE, size=100),
> evar1=sample(c(1,2,3), replace=TRUE, size=100),
> evar2=sample(c(1,2,3), replace=TRUE, size=100)
> )
>
> #List
> list1<-list(df, df1)
> #vector of first variables I’d like to recode
> i.recodes<-grep('^i.', names(df), value=TRUE)
> #Vector of second variables to recode
> e.recodes<-grep('^e.', names(df), value=TRUE)
>
> #Set up RESCALE function from RPMG package
> RESCALE <- function (x, nx1, nx2, minx, maxx)
> { nx = nx1 + (nx2 - nx1) * (x - minx)/(maxx - minx)
> return(nx)
> }
>
> #This is what I’m playing around with
> test<-lapply(list1, function(y) {
> out<-y[,i.recodes]
> out<-lapply(out, function(x) RESCALE(x, 0,1,1,6))
> y[,names(x)]<-out
> })
> [[alternative HTML version deleted]]
>
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