/
s_fe_mt_ips_plot_S.m
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/
s_fe_mt_ips_plot_S.m
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function s_fe_mt_ips_plot_S()
if notDefined('saveDir'), saveDir = fullfile('/marcovaldo/frk/Dropbox','pestilli_etal_revision',mfilename);end
dataset = {'96','hcp'};
for id = 1:length(dataset)
switch dataset{id}
case '96'
cd /home/frk/Dropbox/pestilli_etal_revision/s_fe_mt_ips_tract
load strength_of_evidence.mat
eylims = [0 26];
eyticks = [0 13 26];
case 'hcp'
cd /home/frk/Dropbox/pestilli_etal_revision/s_fe_mt_ips_tract_hcp/
load strength_of_evidence.mat
eylims = [0 500];
eyticks = [0 250 500];
otherwise
keyboard
end
% Extract all the metrics in a easy format for plotitng
for is = 1:size(SE,1)
for ih = 1:size(SE,2)
kl(is,ih) = SE(is,ih).kl.mean;
S(is,ih) = SE(is,ih).s.mean;
J(is,ih) = SE(is,ih).j.mean;
E(is,ih) = SE(is,ih).em.mean;
end
end
mKL = mean(kl(:));
seKL = std(kl(:))./sqrt(numel(kl));
figName = sprintf('MT_parietal_connection_KL_%s_%s',dataset{id},mfilename);
fh(1) = mrvNewGraphWin(figName);
bar(1,mKL,'k');
hold on
plot([1; 1]',[mKL; mKL] + [seKL; -seKL],'r', 'linewidth',4)
set(gca,'tickdir','out', ...
'box','off', ...
'ylim',[0 6], ...
'xlim',[0 2], ...
'ytick',[0 3 6], ...
'xtick',[1], ...
'xticklabel',{''}, ...
'fontsize',16)
ylabel(sprintf('Kullback-Leibler divergence'),'fontsize',16)
saveFig(fh(1),fullfile(saveDir,figName),'eps')
mS = mean(S(:));
seS = std(S(:)) ./ sqrt(numel(S(:)));
figName = sprintf('MT_parietal_connection_S_%s_%s',dataset{id},mfilename);
fh(1) = mrvNewGraphWin(figName);
bar([1],mS,'k');
hold on
plot([1; 1]',[mS; mS] + [seS; -seS],'r', 'linewidth',4)
set(gca,'tickdir','out', ...
'box','off', ...
'ylim',[0 50], ...
'xlim',[0 2], ...
'ytick',[0 25 50], ...
'xtick',[1 2], ...
'xticklabel',{''}, ...
'fontsize',16)
ylabel('Strength of evidence (S)','fontsize',16)
saveFig(fh(1),fullfile(saveDir,figName),'eps')
mJ = mean(J(:));
seJ = std(J(:)) ./ sqrt(numel(J(:)));
figName = sprintf('MT_parietal_connection_JEFFREY_%s_%s',dataset{id},mfilename);
fh(1) = mrvNewGraphWin(figName);
bar([1],mJ,'k');
hold on
plot([1; 1]',[mJ; mJ] + [seJ; -seJ],'r', 'linewidth',4)
set(gca,'tickdir','out', ...
'box','off', ...
'ylim',[0 2], ...
'xlim',[0 2], ...
'ytick',[0 1 2], ...
'xtick',[1 2], ...
'xticklabel',{''}, ...
'fontsize',16)
ylabel('Jeffrey''s divergence (bits)','fontsize',16)
saveFig(fh(1),fullfile(saveDir,figName),'eps')
mE = mean(E(:));
seE = std(E(:)) ./ sqrt(numel(E(:)));
figName = sprintf('MT_parietal_connection_EMD_%s_%s',dataset{id},mfilename);
fh(1) = mrvNewGraphWin(figName);
bar([1],mE,'k');
hold on
plot([1; 1]',[mE; mE] + [seE; -seE],'r', 'linewidth',4)
set(gca,'tickdir','out', ...
'box','off', ...
'ylim',eylims, ...
'xlim',[0 2], ...
'ytick',eyticks, ...
'xtick',[1 2], ...
'xticklabel',{''}, ...
'fontsize',16)
ylabel('Earth movers'' distance','fontsize',16)
saveFig(fh(1),fullfile(saveDir,figName),'eps')
end
clear kl mKL seKL mS seS S mS seS S
% %% Human Connectome data
%
%
% for is = 1:size(KL,1)
% for ih = 1:size(KL,2)
% kl(is,ih) = KL(is,ih).value;
% end
% end
%
% kl(isinf(kl)) = nan;
% kl(isnan(kl)) = nanmax(kl(:));
% mKL = mean(kl);
% seKL = std(kl)./sqrt(size(kl,1));
%
% figName = sprintf('MT_parietal_connection_KL_HCP_%s',mfilename);
% fh(1) = mrvNewGraphWin(figName);
% bar([1 2],mKL,'k');
% hold on
% plot([1 1; 2 2]',[mKL; mKL] + [seKL; -seKL],'r', 'linewidth',4)
% set(gca,'tickdir','out', ...
% 'box','off', ...
% 'ylim',[0 4], ...
% 'xlim',[0 3], ...
% 'ytick',[0 2 4], ...
% 'xtick',[1 2], ...
% 'xticklabel',{'Right','Left'}, ...
% 'fontsize',16)
% ylabel(sprintf('Strength of evidence\n(Kullback-Leibler divergence)'),'fontsize',16)
% xlabel('Hemisphere','fontsize',16')
% saveFig(fh(1),fullfile(saveDir,figName),'eps')
%
%
% mS = mean(S,1);
% seS = std(S,[],1) ./ sqrt(size(S,1));
%
% figName = sprintf('MT_parietal_connection_S_HCP_%s',mfilename);
% fh(1) = mrvNewGraphWin(figName);
% bar([1 2],mS,'k');
% hold on
% plot([1 1; 2 2]',[mS; mS] + [seS; -seS],'r', 'linewidth',4)
% set(gca,'tickdir','out', ...
% 'box','off', ...
% 'ylim',[0 50], ...
% 'xlim',[0 3], ...
% 'ytick',[0 25 50], ...
% 'xtick',[1 2], ...
% 'xticklabel',{'Right','Left'}, ...
% 'fontsize',16)
% ylabel('Strength of evidence (S)','fontsize',16)
% xlabel('Hemisphere','fontsize',16')
% saveFig(fh(1),fullfile(saveDir,figName),'eps')
%
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function saveFig(h,figName,type)
% MAke sure the folder to save the figure exists
[p,f,e] = fileparts(figName);
[success,message] = mkdir(p);
if ~isempty(message), disp(sprintf('%s.',message));end
% Find out which type of figure and geenerate the proper printing command.
switch type
case {0,'jpeg','jpg'}
printCommand = (sprintf('print(%s, ''-djpeg90'',''-r500'' , ''-noui'', ''-opengl'', ''%s'')', num2str(h),figName));
case {1,'eps'}
printCommand = (sprintf('print(%s, ''-cmyk'', ''-depsc2'',''-tiff'',''-r500'' , ''-noui'', ''%s'')', num2str(h),figName));
case 'png'
printCommand = (sprintf('print(%s, ''-dpng'',''-r500'', ''%s'')', num2str(h),figName));
case 'tiff'
printCommand = (sprintf('print(%s, ''-dtiff'',''-r500'', ''%s'')', num2str(h),figName));
case 'bmp'
printCommand = (sprintf('print(%s, ''-dbmp256'',''-r500'', ''%s'')', num2str(h),figName));
otherwise
keyboard
end
% do the printing here:
fprintf('[%s] saving figure... \n%s\n',mfilename,figName);
eval(printCommand);
end