VAR 980490 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? 1. Favor 5. Oppose 8. DK 9. NA; RF 0. Haven't thought much about this I am trying to recode the data for the following public opinion question from the ANES. I would like to throw out 8 and 9. Furthermore, I would like to reorder the responses so that: 1. Oppose (originally 5) 2. Haven't though much about this (originally 0) 3. favor (originally 1) I tried the following, which did not work: library(car) data96$V961327 <- recode(data96$V961327, "c(1)=2; c(2)=3; c(3)=1") I also tried the following, which also did not work: new <- as.numeric(data96$V961327) new data96$V961327 <- recode(new, "c(5)=1; c(0)=2; c(1)=3") Help, Abraham M
Recoding Variables in R
2 messages · Mathew, Abraham T, John Fox
Dear Abraham, If I follow correctly what you want to do, the following should do it:
f <- factor(c(1, 1, 5, 5, 8, 8, 9, 9, 0, 0)) f
[1] 1 1 5 5 8 8 9 9 0 0 Levels: 0 1 5 8 9
recode(f, " '1'=3; '5'=1; '0'=2; else=NA ")
[1] 3 3 1 1 <NA> <NA> <NA> <NA> 2 2 Levels: 1 2 3 I think that your problem was that you didn't distinguish correctly between factor levels and their numeric encoding; factor levels should be quoted in recode(). I hope this helps, John -------------------------------- John Fox Senator William McMaster Professor of Social Statistics Department of Sociology McMaster University Hamilton, Ontario, Canada web: socserv.mcmaster.ca/jfox
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Behalf Of Mathew, Abraham T Sent: January-28-10 10:15 AM To: r-help at r-project.org Subject: [R] Recoding Variables in R VAR 980490 Some people have suggested placing new limits on foreign imports in order to protect American jobs. Others say that such limits would raise consumer prices and hurt American exports. Do you FAVOR or OPPOSE placing new limits on imports, or haven't you thought much about this? 1. Favor 5. Oppose 8. DK 9. NA; RF 0. Haven't thought much about this I am trying to recode the data for the following public opinion question
from
the ANES. I would like to throw out 8 and 9. Furthermore, I would like to reorder the responses so that: 1. Oppose (originally 5) 2. Haven't though much about this (originally 0) 3. favor (originally 1) I tried the following, which did not work: library(car) data96$V961327 <- recode(data96$V961327, "c(1)=2; c(2)=3; c(3)=1") I also tried the following, which also did not work: new <- as.numeric(data96$V961327) new data96$V961327 <- recode(new, "c(5)=1; c(0)=2; c(1)=3") Help, Abraham M
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