Hi,
I've written code to extact a pumf file in R, subset it, and weight it
like you would do in SPSS. My code is below & it works great. My question
is: how do i then calculate the frequencies of smokers (1) versus
non-smokers (2) after having weighted my file? or even the process that
SPSS is going through to aggregate the data?
Thanks,
Nat
Here is my code:
myfile<-("c:/test2.txt")
mysubset<-myfile
mysubset$Y_Q02 <-mysubset$DVSELF <-NULL
mysubset2<-mysubset
mysubset2$Y_Q10B <-mysubset2$GP2_07 <-NULL
myVariableNames<-c("PUMFID","PROV","REGION","GRADE","Y_Q10A","WTPP")
myVariableWidths<-c(5,2,1,2,1,12.4)
mysubset2<-read.fwf(
file=myfile,
width=myVariableWidths,
col.names=myVariableNames,
row.names="PUMFID",
fill=TRUE,
strip.white=TRUE)
print(mysubset2)
happyguys<-subset(mysubset2, PROV==48 & GRADE == 7 & Y_Q10A < 9)
print(happyguys)
data.frame<-happyguys
> df<-data.frame(PROV,REGION,GRADE,Y_Q10A,WTPP)
> df1 <- df[, 1:4] * df[, 5]
> print(df1)
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