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
<johannes_graumann at web.de> 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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> 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?