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palm_cohen.m
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palm_cohen.m
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function palm_cohen(M,psi,res,plm,opts,y,m,c,o,p)
% Computes and saves effect sizes and a few other GLM estimates.
% This is intended to be invoked if "-saveglm" is used.
% If "-saveperms" is also used, then it will be executed for every permutation.
%
% This function isn't intended to be executed by the user, but be called
% from palm_core.m.
%
% _____________________________________
% Anderson M. Winkler
% National Institutes of Health (NIH)
% Jun/2021
% http://brainder.org
%
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
% PALM -- Permutation Analysis of Linear Models
% Copyright (C) 2021 Anderson M. Winkler
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
if opts.saveperms
pstr = sprintf('_perm%06d',p);
else
pstr = '';
end
% Fork for t or F contrasts
if plm.rC0{m}(c) == 1
cope = plm.eC{y}{m}{c}{o}'*psi;
Xr = range(vertcat(M*plm.eC{y}{m}{c}{o},0),1);
sigsq = sum(res.^2,1)./(plm.N-plm.rM{y}{m}{c}{o});
cohen = cope*Xr./sigsq.^.5;
cfvar = 1./cohen;
if opts.evperdat
Theta = zeros(1,size(psi,2));
for t = 1:size(psi,2)
Theta(t) = plm.mrdiv(plm.eC{y}{m}{c}{o}',(M(:,:,t)'*M(:,:,t)))*plm.eC{y}{m}{c}{o};
end
varcope = Theta ./ sigsq;
else
varcope = plm.mrdiv(plm.eC{y}{m}{c}{o}',(M'*M))*plm.eC{y}{m}{c}{o} * sigsq;
end
palm_quicksave(cope,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cope',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(varcope,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_varcope',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(cohen,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cohen',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(cfvar,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cfvar',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
else
error('The option -saveglm hasn''t yet been implemented for F-tests.')
cope = plm.eC{y}{m}{c}{o}'*psi;
if opts.evperdat
Theta = zeros(1,size(psi,2));
for t = 1:size(psi,2)
Theta(t) = pinv(plm.mrdiv(plm.eC{y}{m}{c}{o}',(M(:,:,t)'*M(:,:,t)))*plm.eC{y}{m}{c}{o});
end
varcope = Theta .* sigsq;
else
% varcope = plm.mrdiv(plm.eC{y}{m}{c}{o}',(M'*M))*plm.eC{y}{m}{c}{o} * sigsq;
varcope = zeros(size(cope));
end
Xr = range(vertcat(M*plm.eC{y}{m}{c}{o},zeros(1,size(plm.eC{y}{m}{c}{o},2))),1);
cope = sqrt(mean(cope.^2,1));
sigsq = sum(res.^2,1)./(plm.N-plm.rM{y}{m}{c}{o});
cohen = cope./sigsq;
cfvar = 1./cohen.^.5;
palm_quicksave(cope,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cope',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(varcope,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_varcope',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(cohen,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cohenf2',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
palm_quicksave(cfvar,0,opts,plm,y,m,c, ...
sprintf('%s',opts.o,plm.Ykindstr{y},'_cfvar',plm.ystr{y},plm.mstr{m},plm.cstr{m}{c},pstr));
end