read.table or read.csv functions will return NA is "i" in the cells of csv file. For example
read.table(text <- textConnection('a, b, c
b,i,i
'), sep = ',', head = TRUE)
a b c
1 b NA NA
Any suggestions to solve this problem?
> sessionInfo()
R version 3.0.1 (2013-05-16)
Platform: x86_64-w64-mingw32/x64 (64-bit)
locale:
[1] LC_COLLATE=English_Australia.1252 LC_CTYPE=English_Australia.1252
[3] LC_MONETARY=English_Australia.1252 LC_NUMERIC=C
[5] LC_TIME=English_Australia.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] digest_0.6.3 evaluate_0.4.3 formatR_0.8 tools_3.0.1
Cheers, Bangyou
This arises because you have not specified the classes for your columns using colClasses.
As such read.table uses type.convert attempts to convert it to logical, integer, numeric or complex.
i is interpreted by type.convert as attempting to be complex, but returns NA.
type.convert('i')
## NA
Use `colClasses = 'character') to force all columns to be character, or use a named vector to ensure that you set the classes for the columns you wish.
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