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NNClass_SSE_Summary_Stats.m
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NNClass_SSE_Summary_Stats.m
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%%
%cd('/Volumes/My_HD/Dropbox/matlab/emergentproj');
cd('~/Dropbox/matlab/emergentproj/data');
close all %note, this script currently requires all figures to be closed...
avgSse = zeros(nNets,length(groups));
avgSseStats = zeros(2,length(groups));
for grp = [1 2 3] %[1 2 3]
clearvars -except grp avgSse avgSseStats
%--SET THESE--
if grp < 3
idList = [1:10]; %loopable
else
idList = 11;
end
groups = {'network' 'control' 'nullcontrol'};
groupTitles = {'Trained Networks' 'Control Networks' 'Control Networks (no copy)'};
%-------------
nLetterTrans = 20;
nNodeTrans = 11;
nNodes = 6;
letterTransCol = 1;
nodeTransCol = 2;
nodesCol = 6;
sseCol = 5;
nNets = length(idList);
letterTrans_idxs = cell(1,nLetterTrans);
nodeTrans_idxs = cell(1,nNodeTrans);
nodes_idxs = cell(1,nNodes);
avgLetterTransSse = zeros(nNets,nLetterTrans);
avgNodeTransSse = zeros(nNets,nNodeTrans);
avgNodesSse = zeros(nNets,nNodes);
%%
for netId = idList
dataLabels = importdata([groups{grp},sprintf('%02d',netId),'_trial_labels.txt']);
dataLabels(:,6) = dataLabels(:,3) + 1; %shift it up by 1 to avoid having 0s
dataLabels(:,7) = dataLabels(:,4) + 1; %shift it up by 1 to avoid having 0s
for jLetterTrans = 1:nLetterTrans
letterTrans_idxs{jLetterTrans} = find( dataLabels(:,letterTransCol)==jLetterTrans );
avgLetterTransSse(netId,jLetterTrans) = mean(dataLabels(letterTrans_idxs{jLetterTrans},sseCol));
end
for jNodeTrans = 1:nNodeTrans
nodeTrans_idxs{jNodeTrans} = find( dataLabels(:,nodeTransCol)==jNodeTrans );
avgNodeTransSse(netId,jNodeTrans) = mean(dataLabels(nodeTrans_idxs{jNodeTrans},sseCol));
end
for jNodes = 1:nNodes
nodes_idxs{jNodes} = find( dataLabels(:,nodesCol)==jNodes );
avgNodesSse(netId,jNodes) = mean(dataLabels(nodes_idxs{jNodes},sseCol));
end
avgSse(netId,grp) = mean(dataLabels(:,sseCol));
end
%%
if grp == 3
seDivisor = sqrt(10);
else
seDivisor = sqrt(nNets);
end
avgLetterTransSseStats(1,:) = sum(avgLetterTransSse,1)/nNets;
avgLetterTransSseStats(2,:) = std(avgLetterTransSse)/seDivisor;
%[sseLetterTransNormfit(1,:), sseLetterTransNormfit(2,:), sseLetterTransNormfitCi, ~] = ...
% normfit(avgLetterTransSse,1);
avgNodeTransSseStats(1,:) = sum(avgNodeTransSse,1)/nNets;
avgNodeTransSseStats(2,:) = std(avgNodeTransSse)/seDivisor;
avgNodesSseStats(1,:) = sum(avgNodesSse,1)/nNets;
avgNodesSseStats(2,:) = std(avgNodesSse)/seDivisor;
avgSseStats(1,grp) = sum(avgSse(:,grp),1)/nNets;
avgSseStats(2,grp) = std(avgSse(:,grp))/seDivisor;
%% barweb
% ( barvalues, errors, width, groupnames,
% bw_title, bw_xlabel, bw_ylabel,
% bw_colormap, gridstatus, bw_legend,
% error_sides, legend_type)
colmean = avgLetterTransSseStats(1,:);
colsd = avgLetterTransSseStats(2,:);
fig1_h = figure; bar_hs = barweb(colmean,colsd,0.8,[],...
groupTitles{grp},'Letter Transitions','Average SSE',...
'gray','y',{'B->T','B->P','S->S','T->S','T->X','S->X','T->T','P->T','X->T','X->V','T->V','P->V','X->X','P->X','X->S','P->S','V->P','V->V','V->E','S->E'},...
1,'axis',45);
axes_pos = get(bar_hs.ax,'Position');
set(bar_hs.ax,'Position',[axes_pos(1) axes_pos(2)+0.1 axes_pos(3)+0.05 axes_pos(4)-0.15])
current_pos = get(fig1_h,'Position');
set(fig1_h,'Position',[current_pos(1) current_pos(2) current_pos(3)/1 current_pos(3)/2])
ylim([0,2]);
box on
%%
colmean = avgNodeTransSseStats(1,:);
colsd = avgNodeTransSseStats(2,:);
fig2_h = figure; bar_hs = barweb(colmean,colsd,0.8,[],...
groupTitles{grp},'Node Transitions','Average SSE',...
'gray','y',{'1:T (N0)','2:P (N0)','3:S (N1)','4:X (N1)','5:T (N2)','6:V (N2)','7:X (N3)','8:S (N3)','9:P (N4)','10:V (N4)','11:E (N5)'},...
1,'axis',45);
axes_pos = get(bar_hs.ax,'Position');
set(bar_hs.ax,'Position',[axes_pos(1)+.06 axes_pos(2)+0.18 axes_pos(3)+0.01 axes_pos(4)-0.22])
current_pos = get(fig2_h,'Position');
set(fig2_h,'Position',[current_pos(1) current_pos(2) current_pos(3)/2 current_pos(3)/2.5])
ylim([0,2]);
box on
%%
colmean = avgNodesSseStats(1,:);
colsd = avgNodesSseStats(2,:);
fig3_h = figure; bar_hs = barweb(colmean,colsd,0.8,[],...
groupTitles{grp},'Nodes','Average SSE',...
'gray','y',{'N0','N1','N2','N3','N4','N5'},...
1,'axis');
current_pos = get(fig3_h,'Position');
set(fig3_h,'Position',[current_pos(1) current_pos(2) current_pos(3)/2 current_pos(3)/2.5])
ylim([0,2]);
box on
%%
export_fig(['../','sse_',groups{grp},'_letterTrans.png'],'-transparent','-q101','-m2',fig1_h);
export_fig(['../','sse_',groups{grp},'_nodeTrans.png'],'-transparent','-q101','-m2',fig2_h);
export_fig(['../','sse_',groups{grp},'_nodes.png'],'-transparent','-q101','-m2',fig3_h);
end%grp
colmean = avgSseStats(1,:);
colsd = avgSseStats(2,:);
fig4_h = figure; bar_hs = barweb(colmean,colsd,0.8,[],...
groupTitles{grp},'Nodes','Average SSE',...
'gray','y',{{'Trained'; 'Network'}, {'Untrained';'Control'}, {'Untrained';'Control';'(no copy)'}},...
1,'axis');
axes_pos = get(bar_hs.ax,'Position');
set(bar_hs.ax,'Position',[axes_pos(1)+0.05 axes_pos(2)+0.1 axes_pos(3) axes_pos(4)-0.15])
current_pos = get(fig4_h,'Position');
set(fig4_h,'Position',[current_pos(1) current_pos(2) current_pos(3)/2 current_pos(4)/1.5])
ylim([0,2]);
box on
export_fig(['../','sse_overall.png'],'-transparent','-q101','-m2',fig4_h);