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 mailto: erinm.hodgess@gmail.com [[alternative HTML version deleted]]
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 Alameda, CA, USA
(Sorry, failed to cc the list) On Sat, Mar 9, 2013 at 10:11 PM, Bert Gunter <bgunter at 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 advice from remote, anonymous, "experts" unfamiliar with the work, the goals, the peculiarities of the data, the ... But quoting George Box (from a long time ago) on the same sort of query for a much different problem: "Well, of course the first thing to do is graph the hell out of it." Cheers, Bert> On Sat, Mar 9, 2013 at 7:36 PM, Erin Hodgess <erinm.hodgess at 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 >> >> -- >> Erin Hodgess >> Associate Professor >> Department of Computer and Mathematical Sciences >> University of Houston - Downtown >> mailto: erinm.hodgess at gmail.com >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list >> stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > > > -- > > Bert Gunter > Genentech Nonclinical Biostatistics > > Internal Contact Info: > Phone: 467-7374 > Website: > pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm-- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
Hi Erin: On Mar 9, 2013, at 7:36 PM, Erin Hodgess <erinm.hodgess at 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 the book by Prado and West "Time Series: Modeling, Computation, and Inference " has a section specifically on this topic (full disclosure - Raquel is a friend). I can't remember if Petris uses EEG data in his book on essentially the DLM package ("Dynamic Linear Models with R") but he does look at using the DLM for longitudinal models. I know (but don't have right off hand) that there have been a number of articles in the last decade or so that have dealt specifically with modeling EEGs. HTH, -Roy M. ********************** "The contents of this message do not reflect any position of the U.S. Government or NOAA." ********************** Roy Mendelssohn Supervisory Operations Research Analyst NOAA/NMFS Environmental Research Division Southwest Fisheries Science Center 1352 Lighthouse Avenue Pacific Grove, CA 93950-2097 e-mail: Roy.Mendelssohn at noaa.gov (Note new e-mail address) voice: (831)-648-9029 fax: (831)-648-8440 www: pfeg.noaa.gov "Old age and treachery will overcome youth and skill." "From those who have been given much, much will be expected" "the arc of the moral universe is long, but it bends toward justice" -MLK Jr.
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, > ErinHi Erin, Depends what you want to find in the EEG data. The only time I have worked with this I used Fourier analysis to produce a power spectrum that could be interpreted as the relative activity of the alpha, beta, etc. frequency bands in the EEG. It was quite some time ago and this approach may not be popular these days. Jim