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originele
2014 Nov 03
1
Unexplicable difference between 2 R installations regarding reading numbers
...ctors. The problem is resolved
by deleting the last digits of every number in the .csv file. Using
as.numeric() on the values works as well.
Anybody a clue as to what might cause this problem? If needed, I can send
an example of a .csv file.
Example output on server:
> X <- read.csv("Originelen/Originelen/heavymetals.csv")
> levels(X[[2]])
[1] "11.140969600635804" "11.548972671055257" "11.98554898321271"
[4] "16.317868213178677" "17.179218967921898" "18.596573461949852"
[7] "18.786014405762298" "18.87978...