[R-sig-QA] [Fwd: create groups based upon different levels of 4 factors] update 1

[Martin Maechler]

Hello Mary,

you snt this to  R-SIG-QA,  an almost-defunct mailing list,

"R Special Interest Group on Quality Assurance -OF R ITSELF-"


You really should repost this to R-help, 
if you are still interested in an answer.

Best regards,
Martin Maechler

>>>>> "MAM" == Mary A Marion <mmstat at comcast.net>
>>>>>     on Fri, 28 Nov 2008 13:06:22 -0500 writes:

    MAM> Hello to the R gurus, My data is bound in a dataframe.
    MAM> data2<-cbind.data.frame(digrp,gender, agegrp,
    MAM> bmigrp,wt) data2[1:5,]

    MAM> I want to create groups based upon different levels of
    MAM> 4 factors ind<- as.logical ( (digrp=1) & (gender=1) &
    MAM> (agegrp="[20-35)") & (bmigrp="[0,18.5)" ) );

    MAM> Error in (digrp = 1) & (gender = 1) & (agegrp =
    MAM> "[20-35)") : operations are possible only for numeric
    MAM> or logical types
    >> 
    MAM> I keep getting an error message.  How do I see that the
    MAM> above statement is in correct type format?  #operations
    MAM> are possible only for numeric or logical types.  why
    MAM> does it not include bmigrp?

    MAM> Data was created as follows:

    MAM> #BMI CLASSIFICATION breaks<-c(0,18.5,25,30,200)
    MAM> bmigrp<-cut(bmi,breaks=breaks,right=FALSE)

    MAM> #AGE GROUPS breaks<-c(1,35,60,90)
    MAM> agegrp<-cut(age,breaks=breaks,right=FALSE)

    MAM> #DI GROUPS #1=yes has diabetes, 2=no does not have
    MAM> digrp<-as.factor(join5[,"DIQ010"])

    MAM> #GENDER GROUPS #1=male, 2=female
    MAM> gender<-as.factor(join5[,"RIAGENDR"])

    MAM> #FORM DATA FRAME TO ANALYZE
    MAM> data2<-cbind.data.frame(digrp,gender, agegrp,
    MAM> bmigrp,wt) data2[1:5,]

    MAM> Thanks.

    MAM> Sincerely, Mary A. Marion

    MAM> _______________________________________________
    MAM> R-sig-QA at stat.math.ethz.ch mailing list
    MAM> https://stat.ethz.ch/mailman/listinfo/r-sig-qa