I'm getting all the rows as NA in Cscore and almost most of the
observation in R and F and M are also NA.
what can be the reason for this. also suggest me the appropriate solution.
On 9 October 2017 at 15:51, Jim Lemon <drjimle...@gmail.com> wrote:
> Hi Hemant,
> Here is an example that might answer your questions. Please don't run
> previous code as it might not work.
>
> I define the break values as arguments to the function
> (rbreaks,fbreaks,mbreaks) If you want the breaks to work, make sure that
> they cover the range of the input values, otherwise you get NAs.
>
> # expects a three (or more) column data frame where
> # column 1 is customer ID, column 2 is amount of purchase
> # and column 3 is date of purchase
> qdrfm<-function(x,rbreaks=3,fbreaks=3,mbreaks=3,date.format="%Y-%m-%d",
> weights=c(1,1,1),finish=NA) {
>
> # if no finish date is specified, use current date
> if(is.na(finish)) finish<-as.Date(date(), "%a %b %d %H:%M:%S %Y")
> x$rscore<-as.numeric(finish-as.Date(x[,3],date.format))
> x$rscore<-as.numeric(cut(x$rscore,breaks=rbreaks,labels=FALSE))
> custIDs<-unique(x[,1])
> ncust<-length(custIDs)
> rfmout<-data.frame(custID=custIDs,rscore=rep(0,ncust),
> fscore=rep(0,ncust),mscore=rep(0,ncust))
> rfmout$rscore<-cut(by(x$rscore,x[,1],min),breaks=rbreaks,labels=FALSE)
> rfmout$fscore<-cut(table(x[,1]),breaks=fbreaks,labels=FALSE)
> rfmout$mscore<-cut(by(x[,2],x[,1],sum),breaks=mbreaks,labels=FALSE)
> rfmout$cscore<-(weights[1]*rfmout$rscore+
> weights[2]*rfmout$fscore+
> weights[3]*rfmout$mscore)/sum(weights)
> return(rfmout[order(rfmout$cscore),])
> }
>
> set.seed(12345)
> x2<-data.frame(ID=sample(1:50,250,TRUE),
> purchase=round(runif(250,5,100),2),
> date=paste(rep(2016,250),sample(1:12,250,TRUE),
> sample(1:28,250,TRUE),sep="-"))
>
> # example 1
> qdrfm(x2)
>
> # example 2
> qdrfm(x2,rbreaks=c(0,200,400),fbreaks=c(0,5,10),mbreaks=c(0,350,700),
> finish=as.Date("2017-01-01"))
>
> Jim
>
>
--
hemantsain.com
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