Translating Weird R Errors
[This article was first published on R for Public Health, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
I love R. I think it’s intuitive and clever and overall a great language. But I do get really annoyed sometimes at the completely ridiculous, cryptic error messages it often gives me. This post will go over some of those seemingly nonsensical errors so you don’t have to go crazy trying to find the bug in your code.
1. all arguments must have the same length
To start with, I just make up some quick data:
prob1<-as.data.frame(cbind(c(1,2,3),c(5,4,3)))
colnames(prob1)<-c("Education","Ethnicity")
And now I just want to do a simple table but I get this error:
What the heck. I look back at my dataset and make sure that both those variables are the same length, which they are. The problem here is that I misspelled “Education”. There’s a missing “a” in there and instead of telling me that I referenced a variable that doesn’t exist, R bizarrely tells me to check the length of my variables. Remember: Anytime you get an error, check to make sure you’ve spelled everything right.
If I do this, everything works out great:
table(prob1$Education, prob1$Ethnicity)
2. replacement has 0 rows, data has 3
A very similar problem, with a very different error message. Let’s say I forgot what columns were in my prob1 data and I thought I had a Sex indicator in there. So I try to recode it like this:
This error message is also pretty unhelpful. The syntax is totally correct; the problem is that I just don’t have a variable named Sex in my dataset. If I do this instead to recode education, a variable that exists, everything is fine:
prob1$Educ_recode<-as.numeric(prob1$Education==2)
3. undefined columns selected
Ironically, the error we so badly wanted before comes up but for a completely different reason. See if you can find the problem here. I’ll take that same little dataset and I just want to know how many rows there are in which Education is not equal to 1.
So, if I want to know the number of rows of the dataframe prob1, I do:
nrow(prob1)
and if I want to know how many have a value of Education not equal to 1, I do the following (incorrectly) and get an error:
Now I check my variable name and I’ve definitely spelled Education right this time. The problem, actually, is not that I have referenced a column that doesn’t exist but I’ve messed up the syntax to the nrow() function, in that I haven’t defined what columns I want to subset. When I do,
prob1[prob1$Education!=1]
this doesn’t make any sense, because I’m saying to subset prob1 but to do this I have to specify which rows I want and which columns I want. This just lists one condition in the brackets and it’s unclear whether it’s for the rows or columns. See my post on subsetting for more details on this.
If I do it the following way, all is good since I’m saying to subset prob1 with only rows with education !=1 and all columns:
nrow(prob1[prob1$Education!=1,])
So this error message does make sense in a way, but it’s still a bit cryptic in my opinion.
To leave a comment for the author, please follow the link and comment on their blog: R for Public Health.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.