On 29/04/2011 6:45 AM, Nandini B wrote:
Hello,
I have a sample data frame which looks like this
day od month
1 1 0.1 2
2 3 #VALUE! 1
3 5 0.4 12
4 7 0.8 10
5 11 - 3
6 14 s 7
7 18 -- 12
8 27 19 7
Now i wish to filter all the non numeric values and replace it with "NA". The data frame
is actually huge and the non numeric characters vary from "-" to a string to absolutely
anything!!!
Can anyone please help ?
You don't tell use the types of the columns, so I'll assume they are
factors. If so, call
as.numeric(as.character())
on each of them to convert the number-like values to numbers, the others
to NA. For example,
df$day <- as.numeric(as.character(df$day))
Duncan Murdoch
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