[R] Issues while using “lift.chart” and “adjProbScore” function from ”BCA” library

[Uwe Ligges]

Please talk to the maintainer of the BCA *package* in order to report bugs.

Uwe Ligges


On 24.05.2012 06:31, aajit75 wrote:
> Dear List,
>
> Couple of issues while using functions from “BCA” library:
>
> 1. I am trying to use “lift.chart” function from “BCA” library, but facing
> issues while using model where model formula is passed as formula object in
> glm.
>
> When model formula is written as text, then it works fine. In my case input
> variables and target variables are going to change dynamically, so have to
> used formula as formula object as derived.
>
> Below is the sample code, taken from the package document to illustrate the
> issues
>
> library(BCA)
> data(CCS)
> CCS$Sample<- create.samples(CCS, est=0.4, val=0.4)
> CCSEst<- CCS[CCS$Sample == "Estimation",]
>
> #Fit glm model with formula written as text
>
> CCS.glm<- glm(MonthGive ~ DonPerYear + LastDonAmt + Region + YearsGive,
> family=binomial(logit), data=CCSEst)
>
> CCSVal<- CCS[CCS$Sample == "Validation",]
>
> lift.chart(c("CCS.glm"), data=CCSVal, targLevel="Yes",
> trueResp=0.01, type="incremental", sub="Validation")
>
>
> #Fit glm model with formula passed as formula object
>
> fm<- as.formula("MonthGive ~ DonPerYear + LastDonAmt + Region + YearsGive")
>
> CCS.glm12<- glm(fm,family=binomial(logit), data=CCSEst)
>
> lift.chart(c("CCS.glm12"), data=CCSVal, targLevel="Yes",
> trueResp=0.01, type="incremental", sub="Validation")
>
> Following error occurs,
> Error in if (any(yvar1 != yvar1[1])) { :
>    missing value where TRUE/FALSE needed
>
> Is there any way out to use formula object in the model and using
> “lift.chart” function
>
> 2. Issue using “adjProbScore” function from the “BCA” library.
>
> (adjProbScore(model="CCS.glm", data=CCSVal1, targLevel="Yes",
> trueResp=0.01))
>
> Error in parse(text = paste("as.character(", ActiveDataSet(), "$", yvar,  :
>    <text>:1:16: unexpected '$'
> 1: as.character(  $
>                    ^
> Above error is thrown, am I doing anything wrong? Please correct.
> Also, as in the case-1 above, can we use model fitted with formula object in
> “adjProbScore” function.
>
> Thanks in advance!
> Ajit
>
>
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>
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