[R] Coding several dummy variables into a single categorical variable

[arun]

Hi,
Try:


set.seed(385)
df<- data.frame(re= sample(c("white","afam","carib"),20,replace=TRUE), usborn= sample(c("yes","no"),20,replace=TRUE),stringsAsFactors=FALSE) 

df1<-within(df,{native3<- 1*(re=="carib" & usborn=="no"); native2<- 1*(re=="carib" & usborn=="yes"); native1<- 1*(re=="afam" & usborn=="yes"); native0<- 1*(re=="white" & usborn=="yes")})

library(reshape2)
df2<- melt(df1,id.vars=c("re","usborn"))[,-3]
colnames(df2)[3]<- "native"
df2

A.K.


----- Original Message -----
From: Mosi Ifatunji <ifatunji at gmail.com>
To: "r-help at r-project.org" <r-help at r-project.org>
Cc: 
Sent: Sunday, September 22, 2013 2:40 PM
Subject: [R] Coding several dummy variables into a single categorical	variable

Colleagues,

I have generated several dummy variables:

n$native0 <- 1 * (n$re=="white" & n$usborn=="yes")
n$native1 <- 1 * (n$re=="afam" & n$usborn=="yes")
n$native2 <- 1 * (n$re=="carib" & n$usborn=="yes")
n$native3 <- 1 * (n$re=="carib" & n$usborn=="no")

I would now like to combine these into a single categorical variable where the new variable would be n$native.

And values of native would be 0 through 3, where n$native0 would be a 0 value on n$native, n$native1 would be a 1 value on n$native etc.

Any help would be greatly appreciated.

-- Mosi

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