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plot_statistics_awd.m
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plot_statistics_awd.m
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function plot_statistics_awd(path_code, path_control,path_emcs, path_lis, path_mcs, path_mcs_m, ...
path_mcs_p, path_mcs_ast, path_uws, path_uws_ast)
cd(path_control);
SUBJlist_Control = dir('*.mat');
for i = 1:length(SUBJlist_Control)
SUBJname_Control = SUBJlist_Control(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_Control);
Control_aux(i,:,:) = data.aux;
end
t_control = data.time;
% figure
% plot(t_control, Control_aux');
%%%%%% Import data for Group 2: EMCSs
cd(path_emcs);
SUBJlist_EMCS = dir('EMC*.mat');
for i = 1:length(SUBJlist_EMCS)
SUBJname_EMCS = SUBJlist_EMCS(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_EMCS);
EMCS_aux(i,:,:) = data.aux;
end
t_emcs = data.time;
% figure
% plot(t_emc,EMCS_aux');
%%%%%% Import data for Group 2-b: LIS
cd(path_lis);
SUBJlist_LIS = dir('*.mat');
for i = 1:length(SUBJlist_LIS)
SUBJname_LIS = SUBJlist_LIS(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_LIS);
LIS_aux(i,:,:) = data.aux;
end
t_lis = data.time;
%%%%%% import data for group 3: MCS-
cd(path_mcs_m);
SUBJlist_MCS_m = dir('MCS_m_*.mat');
for i = 1:length(SUBJlist_MCS_m)
SUBJname_MCS_m = SUBJlist_MCS_m(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_MCS_m);
MCS_m_aux(i,:,:) = data.aux;
end
t_mcs_m = data.time;
% figure
% plot(t_mcs_m,MCS_m_aux');
%%%%%% import data for group 4: MCS+
cd(path_mcs_p);
SUBJlist_MCS_p = dir('MCS_p_*.mat');
for i = 1:length(SUBJlist_MCS_p)
SUBJname_MCS_p = SUBJlist_MCS_p(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_MCS_p);
MCS_p_aux(i,:,:) = data.aux;
end
t_mcs_p = data.time;
% figure
% plot(t_mcs_p,MCS_p_aux');
%%%%%% import data for group 4-b: MCS*
cd(path_mcs_ast);
SUBJlist_MCS_p = dir('MCS_ast_*.mat');
for i = 1:length(SUBJlist_MCS_p)
SUBJname_MCS_p = SUBJlist_MCS_p(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_MCS_p);
MCS_ast_aux(i,:,:) = data.aux;
end
t_mcs_ast = data.time;
cd(path_mcs);
SUBJlist_MCS = dir('MCS_*.mat');
for i = 1:length(SUBJlist_MCS)
SUBJname_MCS = SUBJlist_MCS(i).name;
data=load(SUBJname_MCS);
MCS_aux(i,:,:) = data.aux;
end
t_mcs = data.time;
% figure
% plot(t_mcs,MCS_aux');
%%%%%% import data for group 5: UWS
cd(path_uws);
SUBJlist_UWS = dir('UWS_*.mat');
for i = 1:length(SUBJlist_UWS)
SUBJname_UWS = SUBJlist_UWS(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_UWS);
UWS_aux(i,:,:) = data.aux;
end
t_uws = data.time;
% figure
% plot(t_uws,UWS_aux');
%%%%%% import data for group 5-b: UWS*
cd(path_uws_ast);
SUBJlist_UWS_ast = dir('UWS_*.mat');
for i = 1:length(SUBJlist_UWS_ast)
SUBJname_UWS_ast = SUBJlist_UWS_ast(i).name;
% path1=([path SUBJname]);
% cd(path1);
data=load(SUBJname_UWS_ast);
UWS_ast_aux(i,:,:) = data.aux;
end
t_uws_ast = data.time;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
%
% Ploting
%
%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean(EMCS_aux);
%y3_CC(isnan(y3_CC)) = nanmedian(y3_CC);
z3_CC = std (EMCS_aux)/sqrt (length(EMCS_aux));
errorbar (t_emcs, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs EMCS (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
% Statastical difference between Control and EMCS
[h_EMCS_aux,p_EMCS_aux] = ttest2(Control_aux,EMCS_aux,0.05)
% LIS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (LIS_aux);
z3_CC = std (LIS_aux)/sqrt (length(LIS_aux));
errorbar (t_lis, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs LIS (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
% Statastical difference between Control and LIS
[h_LIS_aux,p_LIS_aux] = ttest2(Control_aux,LIS_aux,0.05)
% Statastical difference between t Control and MCS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_aux);
z3_CC = std (MCS_aux)/sqrt (length(MCS_aux));
errorbar (t_mcs, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs MCS (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_aux,p_MCS_aux] = ttest2(Control_aux,MCS_aux,0.05)
% Statastical difference between Control and MCS-
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_m_aux);
z3_CC = std (MCS_m_aux)/sqrt (length(MCS_m_aux));
errorbar (t_mcs_m, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs MCS- (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_m_aux,p_MCS_m_aux] = ttest2(Control_aux,MCS_m_aux,0.05)
% Statastical difference between t Control and MCS+
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_p_aux);
z3_CC = std (MCS_p_aux)/sqrt (length(MCS_p_aux));
errorbar (t_mcs_p, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs MCS+ (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_p_aux,p_MCS_p_aux] = ttest2(Control_aux,MCS_p_aux,0.05)
% Statastical difference between t Control and MCS*
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (MCS_ast_aux);
z3_CC = std (MCS_ast_aux)/sqrt (length(MCS_ast_aux));
errorbar (t_mcs_ast, y3_CC,z3_CC, 'r'); grid on;
title( 'Control (blue) vs MCS* (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',28,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_ast_aux,p_MCS_ast_aux] = ttest2(Control_aux,MCS_ast_aux,0.05)
% Statistical difference between Control and UWS
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (UWS_aux);
z3_CC = std (UWS_aux)/sqrt (length(UWS_aux));
errorbar (t_uws, y3_CC,z3_CC, 'r'); grid on;
title('Control (blue) vs UWS (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_UWS_aux,p_UWS_aux] = ttest2(Control_aux,UWS_aux,0.05)
% Statistical difference between Control and UWS*
figure
y2_CC = mean(Control_aux);
z2_CC = std(Control_aux)/sqrt (length(Control_aux));
errorbar(t_control,y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (UWS_ast_aux);
z3_CC = std (UWS_ast_aux)/sqrt (length(UWS_ast_aux));
errorbar (t_uws, y3_CC,z3_CC, 'r'); grid on;
title('Control (blue) vs UWS* (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_UWS_aux,p_UWS_ast_aux] = ttest2(Control_aux,UWS_ast_aux,0.05)
% Statistical difference between MCS and UWS
figure
y2_CC = mean (MCS_aux);
z2_CC = std (MCS_aux)/sqrt (length(MCS_aux));
errorbar (t_mcs, y2_CC,z2_CC, 'b'); grid on;
hold on
y3_CC = mean (UWS_aux);
z3_CC = std (UWS_aux)/sqrt (length(UWS_aux));
errorbar (t_uws, y3_CC,z3_CC, 'r'); grid on;
title('MCS (blue) vs UWS (red)')
ylabel('Spectral Amplitude (SA)', 'FontSize',14,'FontWeight','bold','Color','k')
xlabel('time (min)');
[h_MCS_UWS_aux,p_MCS_UWS_aux] = ttest2(MCS_aux,UWS_aux,0.05)
cd(path_code);
end