Message-ID: <59c7bef0-fcd9-0342-89f3-7ff7555ac797@comcast.net>
Date: 2019-03-11T01:39:27Z
From: David Winsemius
Subject: How to change the number of bins?
In-Reply-To: <CA+gbZiCtat-Eiq5Jr1SOjCPhOA5W3JvM+MWn8k2fGw+bktjy8A@mail.gmail.com>
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
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>
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