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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...

...emon <drjimlemon at 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 purch...

...n 9 October 2017 at 15:51, Jim Lemon <drjimlemon at 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<-f...

...; 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...

Hi Hemant, Let's take it one step at a time. Save this code as "qdrfm.R" in your R working directory: It includes the comments I added last time and fixes a bug in the recency scoring. 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)) cat("Range of purchase recency&qu...

Dear R gurus, I have got stuck on how to customise the colorkey generated by levelplot and contourplot, in the lattice package. This best illustrated by an example: library(lattice) levelplot(volcano^20/1e45,at=c(0,0.001,0.01,0.1,1,10)) The reason for raising the volcano dataset to the 20th power is to create a dataset with a large vertical exaggeration - this is similar in nature to the data

I'm trying to perform an RFM analysis on the attached dataset, I'm able to get the results using the auto_rfm function but i want to define my own breaks for RFM. as follow r <-c(30,60,90) f <-c(2,5,8) m <-c(10,20,30) but when i tried to define my own breaks i got the identical result for RFM i.e 111 for every ID. please help me with this with working R script so that i can get