Erin Hodgess wrote:
Dear R People:
I have a data set with EEG data. There are 128 measurements per second for
16 locations. What is the best way to handle these series, please?
Thanks,
Erin
Hi Erin,
Depends what you want to find in the EEG data. The only time I have
worked with this
Bert Gunter gunter.berton at gene.com writes:
(Sorry, failed to cc the list)
On Sat, Mar 9, 2013 at 10:11 PM, Bert Gunter bgunter at gene.com wrote:
[snip]
But quoting George Box (from a long time ago) on the same sort of
query for a much different problem: Well, of course the
Ben:
My recollection is that it was an answer to a question he received
from the audience at a (JSM? Gordon Conference? Other ...?)
presentation. For obvious reasons, it stuck with me, but I can't do
better than that. I'm pretty sure it was in the mid to late 1990's
when John Tukey was still
Hi Erin:
On Mar 9, 2013, at 7:36 PM, Erin Hodgess erinm.hodg...@gmail.com wrote:
Dear R People:
I have a data set with EEG data. There are 128 measurements per second for
16 locations. What is the best way to handle these series, please?
Thanks,
Erin
I don't know about best, but
Dear R People:
I have a data set with EEG data. There are 128 measurements per second for
16 locations. What is the best way to handle these series, please?
Thanks,
Erin
--
Erin Hodgess
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
On Mar 9, 2013, at 7:36 PM, Erin Hodgess wrote:
Dear R People:
I have a data set with EEG data. There are 128 measurements per second for
16 locations. What is the best way to handle these series, please?
Have you done a search of Markmail with the term: EEG?
--
David Winsemius
(Sorry, failed to cc the list)
On Sat, Mar 9, 2013 at 10:11 PM, Bert Gunter bgun...@gene.com wrote:
Erin:
If this is a question about statistical methodology for such complex
data, then all I can say is: surely you jest! -- it's off topic and
farfetched, to say the least, to expect useful
7 matches
Mail list logo
