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However, when I do this, this joins only the first 35331 rows of fixdata. I've tried sorting the data numerically and alphanumerically, but it consistently fails at row 35331. Weirdly, if I create a subset of the fixdata called fixdata2, which starts at row 35332, and try to apply join to that data using:
fixdata2joined<- join(fixdata2, StimLoc, by = c("Subject", "StimIDIndex"))
it still fails. Here's a check to make sure that the identifiers are the same:
count(fixdata$Subject[35331]==StimLoc$Subject)
x freq
1 FALSE 4644
2 TRUE 86
count(fixdata$StimIDIndex[35331]==StimLoc$StimIDIndex)
x freq
1 FALSE 4675
2 TRUE 55
So it's not as though there is no matching data. Yet, it still gives me NAs in my fixdata data frame in the column StimLoc, but reports no error. Seems like there may be something wrong here? Any ideas?
Thanks for your package!
The text was updated successfully, but these errors were encountered:
I'm trying to join two datasets in R. I'm using the join command, as such:
However, when I do this, this joins only the first 35331 rows of fixdata. I've tried sorting the data numerically and alphanumerically, but it consistently fails at row 35331. Weirdly, if I create a subset of the fixdata called fixdata2, which starts at row 35332, and try to apply join to that data using:
it still fails. Here's a check to make sure that the identifiers are the same:
So it's not as though there is no matching data. Yet, it still gives me NAs in my fixdata data frame in the column StimLoc, but reports no error. Seems like there may be something wrong here? Any ideas?
Thanks for your package!
The text was updated successfully, but these errors were encountered: