1) read.table has a 'skip' argument which may suffice.
2) R has the concept of 'connections' to read sequentially through a file.
See the 'R Data Import/Export' manual.
If that is not enough hints, showing us an example usually intrigues
people enough to offer working code.
On Fri, 16 May 2008, DAVID ARTETA GARCIA wrote:
Dear list,
I have a text file from a scanner that includes 20 lines of text (scanner
settings) before it actually starts showing the readings in a tabular format
(headings are ID, intensity, background and few others).
I am a biologist with some experience using R and my question is if it is
possible to read this file into an R workspace and store the actual readings
in a dataframe, avoiding the text at the begining. It seems to me that this
is not the actual purpose of R, but maybe someone can point me to a method
for doing this. Do I need to parse the file with some other programming
language? is it possible to link, say, Perl or C++ with R to automate the
reading and the analysis of such files? The aim is to be able to automate
this analysis since these files are our routine experimental output.
Thanks for your help,
D.
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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