[R] Replace NAs in dataframe: what am I doing wrong
pomchip at free.fr
Sun Aug 12 00:20:33 CEST 2007
My script imports a dataset from a csv file, in which missing values are
represented by ".". This importation is done into a dataframe using the
read.table function with na.strings = "." Then I want to replace the
NAs in the first column of the dataframe by "Missing data". I am using
the following code to do so :
# myFile is the full path of the source file
This code works perfectly fine if this first column contains only
missing values, i.e. ".". As soon as it contains multiple levels and
missing values, things start to get wrong. I get the following error
message and the replacement is not done.
invalid factor level, NAs generated in: `[<-.factor`(`*tmp*`,
is.na(mydata[, 1]), value = "Missing value")
Is there an error in my code or is that a bug (I doubt about it) ?
Thanks in advance.
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