[R] ERP software

[Mark M. Span]

I'm not sure that R is the ideal environment to do this sort of thing in.
Most labs **have** dedicated software to gather the data from the card. My
intention was to use R for the analysis of the data. That's what R was
developed for, wasn't it?
I'm not even sure how much 'specialized' software for this analysis is
needed. Matrix subsetting could be enough for the trial-making,
badpass filters, hanning filters, EOG regression and artefact detection
don't seem to be a *major* problem.
These things could be 'tailored' for ERP study and packaged, and I was
wondering if anyone looked into this before.

----- Original Message -----
From: "Prof Brian D Ripley" <ripley at stats.ox.ac.uk>
To: "Duncan Murdoch" <murdoch at stats.uwo.ca>
Cc: "Tim Hoar" <thoar at ucar.edu>; <r-help at stat.math.ethz.ch>
Sent: Thursday, July 05, 2001 10:50 PM
Subject: Re: [R] ERP software


> On Thu, 5 Jul 2001, Duncan Murdoch wrote:
>
> > On Thu, 5 Jul 2001 11:50:07 -0600 (MDT), you wrote in message
> > <Pine.GSO.4.30.0107051146130.3217-100000 at goldhill.cgd.ucar.edu>:
> >
> > >I think you're missing the point about *realtime* ...
> > >
> > >opening and reading a static file is one thing -- having event-driven
> > >reads (i.e. potentially asynchronous reads) directly from the
instrument
> > >is another.
> >
> > If the instrument can be opened as a Unix file, then connections
> > should work, as should the older Rstreams.  You don't have event
> > driven programming in R, but you can tell your R code to run a loop
> > where it tries to read the next input from the instrument.  If there's
> > nothing available, it will block until the data arrives, just like
> > "cat" or any other Unix utility would.
>
> You can also have non-blocking connections in 1.3.0, especially on fifos
> (but only on Unix).  I am not sure we have the optimal semantics, so
> feedback on this would be welcome (on R-devel, I think as it can be very
> technical).
>
> > See ?connections for help.
> >
> > Duncan Murdoch
>
> --
> Brian D. Ripley,                  ripley at stats.ox.ac.uk
> Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
> University of Oxford,             Tel:  +44 1865 272861 (self)
> 1 South Parks Road,                     +44 1865 272860 (secr)
> Oxford OX1 3TG, UK                Fax:  +44 1865 272595
>
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