Define those columns as being character with colClasses and then use
'ifelse' to change it to boolean:
> x <- c("", "", "+", "", "+")
> x
[1] "" "" "+" "" "+"
> y <- ifelse(x == "", FALSE, TRUE)
> y
[1] FALSE FALSE TRUE FALSE TRUE
>
On Tue, Apr 15, 2008 at 5:10 AM, Johannes Graumann
<[EMAIL PROTECTED]> wrote:
> Hi,
> I read in some tabular data using this:
>
> > read.table(file, quote = "\"", header = TRUE, sep = "\t",
> > stringsAsFactors > = FALSE, comment.char = "")
>
> One slight problem I have now is that some columns in the data set contain
> either "" or "+", which means FALSE or TRUE respectively. The command
> results in those columns being numeric with "NA" corresponding to the empty
> case and "0" to the "+"-case. Is there any smart way of making read table
> rendering these columns boolean to start with?
>
> Thanks for any insight, Joh
>
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem you are trying to solve?
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