Check out:
http://finzi.psych.upenn.edu/R/Rhelp02a/archive/52957.html
for a similar problem.
On 3/8/06, [EMAIL PROTECTED]
<[EMAIL PROTECTED]> wrote:
> Dear All,
>
> I'm trying to read a text data file that contains several records separated
> by a blank line. Each record starts with a row that contains it's ID and the
> number of rows for the records (two columns), then the data table itself, e.g.
>
> 123 5
> 89.1791 1.1024
> 90.5735 1.1024
> 92.5666 1.1024
> 95.0725 1.1024
> 101.2070 1.1024
>
> 321 3
> 60.1601 1.1024
> 64.8023 1.1024
> 70.0593 2.1502
>
> ...
>
> I thought I coudl simply use something line this:
>
> con <- file("test2.txt");
> do {
> e <- read.table(con, nlines = 1);
> if ( length(e) == 2 ) {
> d <- read.table(con, nrows = e[1,2]);
> #process data frame d
> }
> } while (length(e) == 2);
>
> The problem is that read.table closes the connection object, I assumed that
> it would not close the connection, and instead contines where it last stopped.
>
> Since the data is nearly a simple table I though read.table could work rather
> than using scan directly. Any suggestions to read this file efficently are
> welcome (the file can contain several thousand record and each record can
> contain several thousand rows).
>
> thanks a lot for your help,
> +kind regards,
>
> Arne
>
>
> [[alternative HTML version deleted]]
>
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