On May 4, 2012, at 08:16 , Rameswara Sashi Kiran Challa wrote:
> Hi,
>
> I have a tab seperated file with 206 rows and 30 columns.
>
> I read in the file into R using read.table() function. I checked the dim()
> of the data frame created in R, it had only 103 rows (exactly half), 30
> columns. Then I tried reading in the file using read.delim() function and
> this time the dim() showed to be 206 rows, 30 columns as expected.
> Reading the read.table() R-help documentation, I came across count.fields()
> function. On using that on the tab seperated file, I got to learn that the
> header line alone has 30 fields and rest of the rows have 9 fields. I am
> now just wondering why read.delim() function was able to read in the file
> correctly and read.table() wasn't able to read the file completely ?
>
> Could anyone please throw some light on this?
This can't be answered in abstractum. However, all that read.delim does is to
call read.table with a specific set of arguments, so you should be able to get
the right result from
read.table(......., header = TRUE, sep = "\t", quote = "\"", dec = ".",
fill = TRUE, comment.char = "")
So check that it works. If you are curious as to what is causing the
difference, just knock out the arguments one by one.
>
> Thanks for your valuable time,
>
> Regards
> Sashi
>
> [[alternative HTML version deleted]]
>
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
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Email: pd....@cbs.dk Priv: pda...@gmail.com
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