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Copy pathshowResultsAllSubjects.m
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showResultsAllSubjects.m
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close all;
clear;
clc;
addpath("./functions");
%% - load data
% dir_path = "./results/ERP/multiple sessions/";
dir_path = "./results/CVEP/multiple sessions/";
mat = dir(dir_path + "*.mat");
data = [];
for q = 1:length(mat)
load(dir_path+mat(q).name);
% table_to_show()
if q == 1
data = table_to_show(1, :);
end
data = [data; table_to_show(2:end,:)];
clearvars table_to_show;
end
%% - put in all subject table
subject1 = data(2:end, 1);
session1 = data(2:end, 2);
subject2 = data(2:end, 3);
session2 = data(2:end, 4);
original = data(2:end, 5);
oracle = data(2:end, 6);
with_train_mean = data(2:end, 7);
with_sepatate_PCA = data(2:end, 8);
with_train_PCA = data(2:end, 9);
%% -show on graph
subject1_num = str2num( char(subject1) );
session1_num = str2num( char(session1) );
subject2_num = str2num( char(subject2) );
session2_num = str2num( char(session2) );
original_num = str2num( char(original) );
oracle_num = str2num( char(oracle) );
with_train_mean_num = str2num( char(with_train_mean) );
with_train_PCA_num = str2num( char(with_train_PCA) );
with_sepatate_PCA_num = str2num( char(with_sepatate_PCA) );
%- arrange
all_res = {};
all_res{1} = original_num;
all_res{2} = oracle_num;
all_res{3} = with_train_mean_num;
all_res{4} = with_sepatate_PCA_num;
all_res{5} = with_train_PCA_num;
%% -calc var subjects
num_of_1_subjects = size( unique( subject1_num ), 1 );
mean_summary = zeros( 5, 1);
var_summary = zeros( 5, 1);
unique_1_subjects = unique( subject1_num );
for data_type = 1:5
for tmp_subject_num = 1 : length(unique_1_subjects)
%- get relevant idx
relevant_idx_all_subject = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num ~= unique_1_subjects(tmp_subject_num ) ...
);
relevant_idx_all_session = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num == unique_1_subjects(tmp_subject_num) ...
);
%- get relevant data
tmp_data = all_res{data_type};
%- calc var
tmp_var_all_subject = var( tmp_data( relevant_idx_all_subject ) );
tmp_mean_all_subject = mean( tmp_data( relevant_idx_all_subject ) );
tmp_var_all_session = var( tmp_data( relevant_idx_all_session ) );
tmp_mean_all_session = mean( tmp_data( relevant_idx_all_session ) );
%- update table
all_var_all_subject( data_type, tmp_subject_num) = tmp_var_all_subject;
all_mean_all_subject( data_type, tmp_subject_num) = tmp_mean_all_subject;
all_var_all_session( data_type, tmp_subject_num) = tmp_var_all_session;
all_mean_all_session( data_type, tmp_subject_num) = tmp_mean_all_session;
end
end
%% -calc for legende
num_of_1_subjects = size( unique( subject1_num ), 1 );
mean_summary = zeros( 5, 1);
var_summary = zeros( 5, 1);
unique_1_subjects = unique( subject1_num );
for data_type = 1:5
relevant_idx_summery = [];
for tmp_subject_num = 1 : length(unique_1_subjects)
%- get relevant idx
relevant_idx_all_subject = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num ~= unique_1_subjects(tmp_subject_num ) ...
);
relevant_idx_summery = [relevant_idx_summery; relevant_idx_all_subject];
relevant_idx_all_session = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num == unique_1_subjects(tmp_subject_num) ...
);
%- get relevant data
tmp_data = all_res{data_type};
%- calc var
tmp_var_all_subject = var( tmp_data( relevant_idx_all_subject ) );
tmp_mean_all_subject = mean( tmp_data( relevant_idx_all_subject ) );
tmp_var_all_session = var( tmp_data( relevant_idx_all_session ) );
tmp_mean_all_session = mean( tmp_data( relevant_idx_all_session ) );
%- update table
all_var_all_subject( data_type, tmp_subject_num) = tmp_var_all_subject;
all_mean_all_subject( data_type, tmp_subject_num) = tmp_mean_all_subject;
all_var_all_session( data_type, tmp_subject_num) = tmp_var_all_session;
all_mean_all_session( data_type, tmp_subject_num) = tmp_mean_all_session;
end
var_summary(data_type) = sqrt( var( tmp_data( relevant_idx_summery ) ) );
mean_summary(data_type)= mean( tmp_data( relevant_idx_summery ) );
end
%% all subject
colormap jet;
cmap=colormap;
tmp_colors = [cmap(10,:);...
cmap(20,:);...
cmap(33,:);...
cmap(55,:);...
cmap(63,:)];
errorbar( 1:num_of_1_subjects , all_mean_all_subject(1, :) ,...
all_var_all_subject(1, :) , -all_var_all_subject(1, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(1, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_subject(2, :) ,...
all_var_all_subject(2, :) , -all_var_all_subject(2, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(2, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_subject(3, :) ,...
all_var_all_subject(3, :) , -all_var_all_subject(3, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(3, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_subject(4, :) ,...
all_var_all_subject(4, :) , -all_var_all_subject(4, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(4, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_subject(5, :) ,...
all_var_all_subject(5, :) , -all_var_all_subject(5, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(5, :));
legend( "Original (" + num2str(mean_summary(1), '%1.2f') + ", " + num2str(var_summary(1), '%1.2f') + ")",...
"Oracle (" + num2str(mean_summary(2), '%1.2f') + ", " + num2str(var_summary(2), '%1.2f') + ")",...
"train sub mean (" + num2str(mean_summary(3), '%1.2f') + ", " + num2str(var_summary(3), '%1.2f') + ")",...
"seperate PCA (" + num2str(mean_summary(4), '%1.2f') + ", " + num2str(var_summary(4), '%1.2f') + ")",...
"train PCA (" + num2str(mean_summary(5), '%1.2f') + ", " + num2str(var_summary(5), '%1.2f') + ")",...
'FontSize', 20);
title('Average Precision of ERP different subjects', 'FontSize', 30);
xlabel('Subject', 'FontSize', 20);
ylabel('Precision', 'FontSize', 20);
set(gca, 'FontSize', 20);
grid on;
%% -calc for legende
num_of_1_subjects = size( unique( subject1_num ), 1 );
mean_summary = zeros( 5, 1);
var_summary = zeros( 5, 1);
unique_1_subjects = unique( subject1_num );
for data_type = 1:5
relevant_idx_summery = [];
for tmp_subject_num = 1 : length(unique_1_subjects)
%- get relevant idx
relevant_idx_all_subject = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num ~= unique_1_subjects(tmp_subject_num ) ...
);
relevant_idx_all_session = find( subject1_num == unique_1_subjects(tmp_subject_num) &...
subject2_num == unique_1_subjects(tmp_subject_num) ...
);
relevant_idx_summery = [relevant_idx_summery; relevant_idx_all_session];
%- get relevant data
tmp_data = all_res{data_type};
%- calc var
tmp_var_all_subject = var( tmp_data( relevant_idx_all_subject ) );
tmp_mean_all_subject = mean( tmp_data( relevant_idx_all_subject ) );
tmp_var_all_session = var( tmp_data( relevant_idx_all_session ) );
tmp_mean_all_session = mean( tmp_data( relevant_idx_all_session ) );
%- update table
all_var_all_subject( data_type, tmp_subject_num) = tmp_var_all_subject;
all_mean_all_subject( data_type, tmp_subject_num) = tmp_mean_all_subject;
all_var_all_session( data_type, tmp_subject_num) = tmp_var_all_session;
all_mean_all_session( data_type, tmp_subject_num) = tmp_mean_all_session;
end
var_summary(data_type) = sqrt(var( tmp_data( relevant_idx_summery ) ));
mean_summary(data_type)= mean( tmp_data( relevant_idx_summery ) );
end
%% all sessions
figure();
errorbar( 1:num_of_1_subjects , all_mean_all_session(1, :) ,...
all_var_all_session(1, :) , -all_var_all_session(1, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(1, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_session(2, :) ,...
all_var_all_session(2, :) , -all_var_all_session(2, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(2, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_session(3, :) ,...
all_var_all_session(3, :) , -all_var_all_session(3, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(3, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_session(4, :) ,...
all_var_all_session(4, :) , -all_var_all_session(4, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(4, :));
hold on;
errorbar( 1:num_of_1_subjects , all_mean_all_session(5, :) ,...
all_var_all_session(5, :) , -all_var_all_session(5, :) ,...
'MarkerEdgeColor' , 'k' ,...
'LineWidth' , 3.0 ,...
'Color' , tmp_colors(5, :));
legend( "Original (" + num2str(mean_summary(1), '%1.2f') + ", " + num2str(var_summary(1), '%1.2f') + ")",...
"Oracle (" + num2str(mean_summary(2), '%1.2f') + ", " + num2str(var_summary(2), '%1.2f') + ")",...
"train sub mean (" + num2str(mean_summary(3), '%1.2f') + ", " + num2str(var_summary(3), '%1.2f') + ")",...
"seperate PCA (" + num2str(mean_summary(4), '%1.2f') + ", " + num2str(var_summary(4), '%1.2f') + ")",...
"train PCA (" + num2str(mean_summary(5), '%1.2f') + ", " + num2str(var_summary(5), '%1.2f') + ")",...
'FontSize', 20);
title('Average Precision of ERP different sessions', 'FontSize', 30);
xlabel('Subject', 'FontSize', 20);
ylabel('Precision', 'FontSize', 20);
set(gca, 'FontSize', 20);
grid on;