<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi Ingrid,<div><br></div><div>This calls for a statfun_corr or even a statfun_glm! It so happens that I have some of these sitting on my hard drive. As you know I am fond of beer, chocolate and co-authorships, so I am sure we can strike a deal. I have not yet had the opportunity to contribute these statfuns to FieldTrip, but now I sense a win-win-win situation: win 1 is for me (beer/chocolate/co-authorships/etc), win 2 is for you (you can compute your statistic of interest) and win 3 for the community (where you test the code, write documentation on the wiki etcetc). How does that sound for a plan?</div><div><br></div><div>Cheers,</div><div><br></div><div>JM</div><div><br><div><div>On Jul 1, 2012, at 10:15 PM, Ingrid Nieuwenhuis wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">
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Hi FTers,<br>
<br>
I'd like to do two sorts of correlation calculations, and was
wondering if there's any easy way to do this within FieldTrip. <br>
<br>
1) I'd like to calculate the correlation between performance over
trials and power within a specific frequency over trials. So I have
the performance measure per trial, and my chan*freq measure after
freqanalysis. So for each channel I have a series of power values
(trials) and I have a series of performance measures (per trial),
and now like to know (first within, and then over subjects) which
channel's frequency power follows (correlates) with the performance.<br>
<br>
From the <a href="http://fieldtrip.fcdonders.nl/walkthrough#correlation">walkthrough</a>
I understand I can give in these performance measures through the
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43.2061 73.2021)"><tspan x="0" y="0" fill="#010101" font-family="'Calibri-Italic'" font-size="11.04">=</tspan><tspan x="5.509" y="0" fill="#010101" font-family="'Calibri-Italic'" font-size="11.04"><span class="Apple-converted-space"> </span></tspan><tspan x="7.917" y="0" fill="#010101" font-family="'Calibri-Italic'" font-size="11.04">1</tspan><tspan x="13.446" y="0" fill="#010101" font-family="'Calibri-Italic'" font-size="11.04">;), but
which method to use for ft_freqstatistics? I don't see
statistics = 'correlation' or 'pearson' or 'spearman' in
method = 'analytic. Also how to make the design to correlate
over trials?<br>
<br>
2) I'd like to calculate the correlation between the score
on repeated questionnaire over participants with power
within a frequency. So I have several power values per
participant for each channel, and the repeated scores on the
questionnaire for each participant. And now I'd like to
calculate a value per channel reflecting the correlation
over the repeats of the questionnaire and over participants.
<br>
<br>
Any idea on FieldTrip settings? Both in general, is there a
correlation statistics implemented, and more specifically
for my question, how would I make the appropriate designs?<br>
<br>
Thanks so much!<br>
Ingrid<br>
</tspan></text></g></g>
<pre class="moz-signature" cols="72">--
Ingrid Nieuwenhuis PhD
Postdoctoral Fellow
Sleep and Neuroimaging Laboratory
Department of Psychology
University of California, Berkeley
California 94720-1650
Tolman Hall, room 5305</pre>
</div>
_______________________________________________<br>fieldtrip mailing list<br><a href="mailto:fieldtrip@donders.ru.nl">fieldtrip@donders.ru.nl</a><br>http://mailman.science.ru.nl/mailman/listinfo/fieldtrip</blockquote></div><br><div>
<span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-align: -webkit-auto; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; font-size: medium; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><span class="Apple-style-span" style="border-collapse: separate; color: rgb(0, 0, 0); font-family: Helvetica; font-size: medium; font-style: normal; font-variant: normal; font-weight: normal; letter-spacing: normal; line-height: normal; orphans: 2; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; -webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; -webkit-text-stroke-width: 0px; "><div style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><div>Jan-Mathijs Schoffelen, MD PhD </div><div><br></div><div>Donders Institute for Brain, Cognition and Behaviour, <br>Centre for Cognitive Neuroimaging,<br>Radboud University Nijmegen, The Netherlands</div><div><br></div><div>Max Planck Institute for Psycholinguistics,</div><div>Nijmegen, The Netherlands</div><div><br></div><div><a href="mailto:J.Schoffelen@donders.ru.nl">J.Schoffelen@donders.ru.nl</a></div><div>Telephone: +31-24-3614793</div></div></span></div></span></div></span></div></span></div></span></span>
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