Rui: I tried your suggestion, which was not fruitful. Another R-helper suggested the code below, which worked perfectly. Thanks for your suggestion and time spent.
Regards, Bruce obj <- model.matrix( ID ~ Gender+0, data=GENDER ) cbind(GENDER[ , 1, drop=FALSE], obj[,-3] ) Bruce Ratner, Ph.D. The Significant Statistician™ (516) 791-3544 Statistical Predictive Analtyics -- www.DMSTAT1.com Machine-Learning Data Mining and Modeling -- www.GenIQ.net
Rui Barradas wrote:
Hello, Try the following. GENDER$Gender_male <- as.integer(GENDER$Gender == "male") GENDER$Gender_female <- as.integer(GENDER$Gender == "female") Hope this helps, Rui Barradas Em 02-04-2017 19:48, BR_email escreveu: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
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