# [R] Big data and column correspondence problem

murilofm murilofmoraes at gmail.com
Wed Jul 27 05:49:10 CEST 2011

```Thanks Daniel, that helped me. Based on your suggestions I built this final
code:

library(foreign)
library(gdata)

AA = c(4,4,4,2,2,6,8,9)
A1 = c(3,3,11,5,5,7,11,12)
A2 = c(3,3,7,3,5,7,11,12)
A = cbind(AA, A1, A2)

BB = c(2,2,4,6,6)
B1 =c(5,11,7,13,NA)
B2 =c(4,12,11,NA,NA)
B3 =c(12,13,NA,NA,NA)

A = cbind(AA, A1, A2,0)
B=cbind(BB,B1,B2,B3)

newdata<-merge(A,B,by.x='AA',by.y='BB',all.x=T,all.y=F)
newdata\$dum <- rowSums (newdata[,matchcols(newdata,
with=c("B"))]==newdata\$A1, na.rm = FALSE, dims = 1)*
rowSums (newdata[,matchcols(newdata, with=c("B"))]==newdata\$A2, na.rm =
FALSE, dims = 1)

colnames(A)<-"dum"
newdata\$dum1<-newdata\$dum
A_final<-merge(A,newdata,by.x=c("AA","A1","A2","dum"),by.y=c("AA","A1","A2","dum"),all.x=T,all.y=F)

Which gives me the same result of the "loop" version. Unfortunately, I can't
replicate it on the original data since i can't make the merge work: i get
an error message "Reached total allocation of 4090Mb". So, I'm stuck again.

If anyone could shed some light on this problem, i would really appreciate.

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```