I'm analysing some data from a Limesurvey questionnaire in R. One of the survey questions asks people for their country of origin and uses a dropdown with a list of countries. I've created a labelset for this with the 3-letter ISO country code (e.g., ALB) as the Limesurvey answer code and the country name as the label (e.g. Albania).
When exporting my Limesurvey data to R, both the codes and labels are saved into the R syntax file. The codes are saved as the 'level' for the factor, and the label is of course used as the label (abbreviated for clarity):
Code:
data[, 7] <- as.character(data[, 7])
attributes(data)$variable.labels[7] <- "Which country are you from?"
data[, 7] <- factor(data[, 7], levels=c("AFG","ALA","ALB", ..., "ZMB","ZWE"),labels=c("Afghanistan","Åland Islands","Albania", ..., "Zambia","Zimbabwe"))
names(data)[7] <- "Q3_Nationality"
However, I cannot figure out how to access this 3-letter ISO code in R? It would be great to get the ISO code, so I can feed that into the rworldmap joinCountryData2Map() function and plot data on a map. (I know that I can also just pass the country name to that function, but that's more error prone.)
If I examine the variable, I get this:
Code:
> data$Q3_Nationality
[1] Guyana
249 Levels: Afghanistan Åland Islands Albania Algeria ... Zimbabwe
Similarly, levels() just gives me:
Code:
levels(data$Q3_Nationality)
[1] "Afghanistan"
[2] "Åland Islands"
[3] "Albania"
[4] "Algeria"
[5] "American Samoa"
No sign of the "AFG", "ALA", "ALB" ISO answer codes.
Trying to convert it to a character, gives me the full label again:
Code:
as.character(levels(data$Q3_Nationality))
[1] "Afghanistan"
[2] "Åland Islands"
[3] "Albania"
[4] "Algeria"
[5] "American Samoa"
Again no ISO codes. It would be great if anyone could tell me how to access these.
P.S.: also posted this on
Stackoverflow
.
