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| #if you need to recode any of your variable values, you should do it before you label your dummy codes | |
| wave5addhealth$H5HR2[wave5addhealth$H5HR2 == 6] <- 5 | |
| #the line right above this note changes the old dummy code 6 to a dummy code of 5, which combines the two groups. | |
| #if you need to code out missing data (R calls it NA), you would use the example shown in the line below. | |
| wave5addhealth$VARNAME[wave5addhealth$VARNAME == 97] <- NA | |
| #in the line above, the number inside the ] needs to be the dummy code for missing data on your variable. | |
| # the two lines below tell R to treat your categorical variable as a categorical variable (factor) and label the dummy codes | |
| wave5addhealth$H5HR2 <- factor(wave5addhealth$H5HR2) | |
| levels(wave5addhealth$H5HR2) <- c("own home", "parent's home", "another's home", "homeless", "other") | |
| #on the line above this note, your labels are in quotes and they must go in the order of the dummy codes. | |
| #the line below will label your variable (like making a title) | |
| label(wave5addhealth$H5HR2) <- "Living Arrangements" | |
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