Hi Simon,
Let's see. If I wrap the code into a function:
reverse.df.elements<-function(df,pattern="i",newrange=c(3,1)) {
revlist<-grep(pattern,names(df),fixed=TRUE)
df[,revlist]<-sapply(df[,revlist],rescale,newrange)
return(df)
}
Then this might do the trick:
lapply(list1,reverse.df.elements,pattern="i",newrange=c(3,1))
Allowing you to select which elements to reverse and specify the new range.
Jim
On Tue, Apr 7, 2015 at 12:33 AM, Simon Kiss <sjk...@gmail.com> wrote:
> 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> 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]]
>>
>> ______________________________________________
>> 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
>> <http://www.r-project.org/posting-guide.html>
>> and provide commented, minimal, self-contained, reproducible code.
>
>
>
>
[[alternative HTML version deleted]]
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