将4个类别的比赛重新编码为3个类别，并在R中创建2个假人

Question

I am working with a variable for race that takes on the following values:1 Black, 2 Hispanic, 3 Mixed Race (Non-Hispanic), 4 Non-Black / Non-Hispanic. I want to sum up 3 and 4 and make it the base category and keep Black and Hispanic. I tried to create 2 dummies (Black=1 and other Hispanic=1) and 2 extra columns are created, but the values in them are not 1 and 0 , but False and True . The code I used:

nlsy2$Hispanic <- nlsy2$Race==2
nlsy2$Black <- nlsy2$Race==1
nlsy2$Race [ nlsy2$Race == 0 ] <- 3
nlsy2$Race [ nlsy2$Race == 0 ] <- 4

Also when I run summary(nlsy2$Hispanic) R gives me this output:

   Mode   FALSE    TRUE    NA's 
logical    5594    1526       0 

Are the NA's problematic when running a glm? Also, if you have a better code solution in how I can recode the race variable, it would be much appreciated! Thank you!

Answer 1

Does

nlsy$Race[nlsy$Race == 3 | nlsy$Race == 4] <- 0
nlsy$Race <- factor(nlsy$Race)

not do the job? You're going to want it in factors rather than numeric when doing any modelling because these are categorical and you don't want to risk them being interpreted as numeric.