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getSummaryTables.m
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function tables = getSummaryTables(obj)
% GETSUMMARYTABLES
%
%
% Created by Megan Schroeder
% Last Modified 2014-03-29
%% Main
% Main function definition
varNames = {'Walk_Control','Walk_PatellaACL','Walk_HamstringACL',...
'SD2S_Control','SD2S_PatellaACL','SD2S_HamstringACL'};
% Residuals
rdObsNames = obj.Control.AvgSummary.Mean.Residuals{1}.Properties.VarNames;
rdData = cell(length(rdObsNames),length(varNames));
for i = 1:length(rdObsNames)
for j = 1:length(varNames)
cycle = varNames{j}(1:strfind(varNames{j},'_')-1);
group = varNames{j}(strfind(varNames{j},'_')+1:end);
if strcmp(group,'Control')
meanData = obj.(group).AvgSummary.Mean{cycle,'Residuals'}{'RMS_CMC',rdObsNames{i}};
sdData = obj.(group).AvgSummary.StdDev{cycle,'Residuals'}{'RMS_CMC',rdObsNames{i}};
else
meanData = obj.(group).Summary.Mean{['A_',cycle],'Residuals'}{'RMS_CMC',rdObsNames{i}};
sdData = obj.(group).Summary.StdDev{['A_',cycle],'Residuals'}{'RMS_CMC',rdObsNames{i}};
end
rdData(i,j) = {[num2str(meanData,'%8.2f'),' (',num2str(sdData,'%8.2f'),')']};
end
end
rdDataset = set(dataset({rdData,varNames{:}}),'ObsNames',rdObsNames);
% -------------------------
% Reserves
rvObsNames = obj.Control.AvgSummary.Mean.Reserves{1}.Properties.VarNames;
rvData = cell(length(rvObsNames),length(varNames));
for i = 1:length(rvObsNames)
for j = 1:length(varNames)
cycle = varNames{j}(1:strfind(varNames{j},'_')-1);
group = varNames{j}(strfind(varNames{j},'_')+1:end);
if strcmp(group,'Control')
meanData = obj.(group).AvgSummary.Mean{cycle,'Reserves'}{'RMS',rvObsNames{i}};
sdData = obj.(group).AvgSummary.StdDev{cycle,'Reserves'}{'RMS',rvObsNames{i}};
else
meanData = obj.(group).Summary.Mean{['A_',cycle],'Reserves'}{'RMS',rvObsNames{i}};
sdData = obj.(group).Summary.StdDev{['A_',cycle],'Reserves'}{'RMS',rvObsNames{i}};
end
% if meanData < 0.01
meanFormat = '%8.3f';
% else
% meanFormat = '%8.2f';
% end
% if sdData < 0.01
sdFormat = '%8.3f';
% else
% sdFormat = '%8.2f';
% end
if meanData > 0.001
rvData(i,j) = {[num2str(meanData,meanFormat),' (',num2str(sdData,sdFormat),')']};
else
rvData(i,j) = {'< 0.001'};
end
end
end
rvDataset = set(dataset({rvData,varNames{:}}),'ObsNames',rvObsNames);
% -------------------------
% Position Errors
pObsNames = obj.Control.AvgSummary.Mean.PosErrors{1}.Properties.VarNames;
pData = cell(length(pObsNames),length(varNames));
for i = 1:length(pObsNames)
for j = 1:length(varNames)
cycle = varNames{j}(1:strfind(varNames{j},'_')-1);
group = varNames{j}(strfind(varNames{j},'_')+1:end);
if strcmp(group,'Control')
meanData = obj.(group).AvgSummary.Mean{cycle,'PosErrors'}{'RMS',pObsNames{i}};
sdData = obj.(group).AvgSummary.StdDev{cycle,'PosErrors'}{'RMS',pObsNames{i}};
else
meanData = obj.(group).Summary.Mean{['A_',cycle],'PosErrors'}{'RMS',pObsNames{i}};
sdData = obj.(group).Summary.StdDev{['A_',cycle],'PosErrors'}{'RMS',pObsNames{i}};
end
% Convert from meters to centimeters for translations
if regexp(pObsNames{i},'pelvis_t[xyz]')
meanData = meanData*100;
sdData = sdData*100;
end
pData(i,j) = {[num2str(meanData,'%8.1f'),' (',num2str(sdData,'%8.1f'),')']};
end
end
pDataset = set(dataset({pData,varNames{:}}),'ObsNames',pObsNames);
% -------------------------
% Trial Variability
tvObsNames = obj.Control.AvgSummary.Mean.AvgForces{1}.Properties.VarNames;
tvData = cell(length(tvObsNames),length(varNames));
for i = 1:length(tvObsNames)
for j = 1:length(varNames)
cycle = varNames{j}(1:strfind(varNames{j},'_')-1);
group = varNames{j}(strfind(varNames{j},'_')+1:end);
subjects = properties(obj.(group));
checkSubjects = @(x) isa(obj.(group).(x{1}),'OpenSim.subject');
subjects(~arrayfun(checkSubjects,subjects)) = [];
meanSDforSubject = zeros(length(subjects),1);
for k = 1:length(subjects)
meanSDforSubject(k) = nanmean(obj.(group).(subjects{k}).Summary.StdDev{['A_',cycle],'Forces'}.(tvObsNames{i}));
end
meanData = mean(meanSDforSubject);
% sdData = std(meanSDforSubject);
% tvData(i,j) = {[num2str(meanData,'%8.3f'),' (',num2str(sdData,'%8.3f'),')']};
tvData(i,j) = {num2str(meanData,'%8.3f')};
end
end
tvDataset = set(dataset({tvData,varNames{:}}),'ObsNames',tvObsNames);
% -------------------------
% Subject Variability
sObsNames = obj.Control.AvgSummary.Mean.AvgForces{1}.Properties.VarNames;
sData = cell(length(sObsNames),length(varNames));
for i = 1:length(sObsNames)
for j = 1:length(varNames)
cycle = varNames{j}(1:strfind(varNames{j},'_')-1);
group = varNames{j}(strfind(varNames{j},'_')+1:end);
if strcmp(group,'Control')
meanData = nanmean(obj.(group).AvgSummary.StdDev{cycle,'AvgForces'}.(tvObsNames{i}));
else
meanData = nanmean(obj.(group).Summary.StdDev{['A_',cycle],'AvgForces'}.(tvObsNames{i}));
end
sData(i,j) = {num2str(meanData,'%8.3f')};
end
end
sDataset = set(dataset({sData,varNames{:}}),'ObsNames',sObsNames);
% ~~~~~~~~~~~~~~~~~~~~~~~~~
% Return
tables = struct();
tables.Residuals = rdDataset;
tables.Reserves = rvDataset;
tables.PosErrors = pDataset;
tables.TrialVariability = tvDataset;
tables.SubjectVariability = sDataset;
end