How to change the number of bins?
On 3/10/19 5:29 PM, wong bowie wrote:
You are right. Actually this variable represents the number of day passed after contacting a client, 999 means the client has never been contacted. But I am not supposed to change the value, am I?
I certainly would. SAS allows one to specify a value such as 999 to be missing but R needs to have it changed to NA is.na(Table$pdays) <- Table$pdays == 999
David > > David Winsemius <dwinsemius at comcast.net > <mailto:dwinsemius at comcast.net>> ? 2019?3?10? ?? ??10:48??? > > Seems rather likely that 999 is not really a measured value but > rather > is a missing value indicator. > > > -- > > David. > > On 3/10/19 1:54 PM, wong bowie wrote: > > I wish to calculate the weight of evidence of a variable x, which is > > positively skewed, with over 6000 of the observations are 999 > but only 200 > > range from 1-27. I used the code, > > > > ?IV<-create_infotables(data=Test[,-1],y="class",bins=10)? > > > > However, no matter what number I used in bins parameter, I can > only get 2 > > bins, [1,27] and [999,999]. Is there any way I can look into the > [1,27] > > closely because they represent a lot? The output from R is shown > below, > > > > Table$pdays > >? ? ? pdays? ? ? ? N? ?Percent? ? ?WOE? ? ? ?IV > >? ? ? 1 [1,27]? ? 243? 0.03807584? 2.6743166 0.5267751 > >? ? ? 2 [999,999] 6139 0.96192416 -0.2230081 0.5707022 > > > > Thank you very much!! > > > >? ? ? ?[[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help at r-project.org <mailto:R-help at 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 > > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]]