Hi R'ers: I need a jump start to obtain my objective. Assistance is greatly appreciated. Bruce
******* #Given Gender Dataset r1 <- c( 1, 2, 3) c1 <- c( "male", "female", "NA") GENDER <- data.frame(r1,c1) names(d1_3) <- c("ID","Gender") GENDER -------------- _OBJECTIVE_: To dummify GENDER, i.e., to generate two new numeric columns, Gender_male and Gender_female, such that: when Gender="male" then Gender_male=1 and Gender_female=0 when Gender="female" then Gender_male=0 and Gender_female=1 when Gender="NA" then Gender_male=0 and Gender_female=0 So, with the given dataset, the resultant dataset would be as follows: Desired Extended Gender Dataset ID Gender Gender_male Gender_female 1 male 1 0 2 female 0 1 3 NA 0 0 -- Bruce Ratner, Ph.D. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.