Use readLines to read your data into Lines.in. Then
delete percentages and right parens followed by replacing
left parens followed by zero or more spaces with a minus.
Then re-read using read.table.
Lines <- "4.61% ( 4.11%) 29.85% ( 1.27%) 16.04% 21.31% 14.09% 39.71%
4.61% ( 4.11%) 29.85% ( 1.27%) 16.04% 21.31% 14.09% 39.71%"
# Lines.in <- readLines("myfile.dat")
Lines.in <- readLines(textConnection(Lines))
Lines.in <- gsub("[%)]", "", Lines.in)
Lines.in <- gsub("[(] *", "-", Lines.in)
DF <- read.table(textConnection(Lines.in))
On Tue, Oct 21, 2008 at 8:02 PM, Young Cho <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I have an accounting data with "%" at the end and "()" for negative.
> E.g. if I read in with read.table, then R reads in as a factor:
>
> [11625] 4.61% ( 4.11%) 29.85% ( 1.27%) 16.04% 21.31% 14.09%
> 39.71%
> [11633] 3.03% 17.39% 80.13%
> 6648 Levels: ( 0.00%) ( 0.03%) ( 0.04%) ( 0.05%) ( 0.06%) ( 0.07%) ...
> 99.70%
> And I was wondering how to convert this column into numeric numbers in R?
>
> Thanks a lot!
>
> Young
>
> [[alternative HTML version deleted]]
>
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>
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