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 <ifatu...@gmail.com>
To: "r-help@r-project.org" <r-help@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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and provide commented, minimal, self-contained, reproducible code.
