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# Johan Carlinjooh

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Created Jan 5, 2016
View unisync
 #!/bin/tcsh # # by: Johan Carlin # date: 8/9/2014 # purpose: sync folders between computers. Assumes that both are available # on the local network (ie you are using VPN if the host is behind a # firewall) # usage: unisync [ucl] [j.carlin] # get optional input
Last active May 4, 2016
Matlab demo of relationship between partial correlation and multiple regression
View QT_parCorrVsRegression.m
 function QT_parCorrVsRegression % QT_parCorrVsRegression.m % When comparing a reference RDM to a candidate RDM, we might want to % partial out the contribution of another RDM on the correlation between % the candidate and the reference RDMs. % this could be done via partial correlations or linear regression. % this scripts demonstrates that the two approaches are identical. % clear;clc;close all %% control parameters nCond = 72;
Created Nov 17, 2017
Matlab simulation demonstrating how squared distance matrices can be linearly combined - probably requires my pilab and matlab-plotting repos at least. Generates a nice figure at the end.
View test_multirsa_again.m
 % demonstration of how squared distances can be combined linearly in % multiple regression RSA, while ordinary distances cannot. In this case % the distortions from doing multiple regression are relatively subtle but % perhaps the difference could be made more dramatic by other means. % % Actually, the less subtle effect is on parameter estimates - the fits % from model_multi2 below are [.5 .5], which is absolutely correct since % the predictors were already scaled to match the data. By contrast the % non-squared fit comes up with [.41 .65] - regardless of how minor the % distortions are in the overall fitted RDM, the parameter estimates are
Created Nov 17, 2017
Matlab simulation comparing permutation tests to parametric RFX and FFX inference
View test_rfx_ffx.m
 % Explore correspondence between different types of permutation tests and % parametric stats inference (FFX/RFX). We test two classes of permutation test: % a within-subject permutation approach (Stelzer et al., 2013, NI), and the % standard sign-flip permutation test (Nichols/Holmes, 2001, HBM). % % OBSERVATIONS: % * RFX parametric and sign flip permutation p values are highly similar, as % expected % * FFX parametric and within-subject permutation p values are highly similar % * using T as the test stat for within-subject permutation test seems to make
Created Sep 25, 2019
Notebook markdown table test
View Untitled.ipynb 