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S140417_IPI_change_plot.m
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S140417_IPI_change_plot.m
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%S140417 variance accounted for
load D140330_Landmark;
load D140422_Controls;
%%
sem = @(x)std(x)/numel(x);
% csCmd = {'abs(IPI.vrD)', '<\Deltad>^{-1} (N/mm)'; ...
% 'abs(rad2deg(IPI.vrDHA))', '<\Delta\theta_H>^{-1} (N/deg)'; ...
% 'abs(rad2deg(IPI.vrDA))', '<\Delta\theta_T>^{-1} (N/deg)'; ...
% 'abs(RS.vrV)', 'Speed (cm/s)';...
% 'abs(rad2deg(RS.vrHAV))', '<\omega_H> (deg/s)';...
% 'abs(rad2deg(RS.vrV))', '<\theta_T> (deg/s)'};
csCmd = {'abs(IPI.vrD*10)', '<\Deltad> (mm/IPI)'; ...
'abs(RS.vrV)', '<Speed> (cm/s)';...
'abs(rad2deg(RS.vrAt))', '<\theta_T> (deg/s)'; ...
'double(RS.vrV<0)', 'Prob. Back-swim'};
vcShape = 'o^sd'; %animal's shape
hfig = figure;
nPlot = size(csCmd,1);
for iCmd = 1:nPlot
[AX, AX1, csZ_V] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,1}, [], csCmd{iCmd,2});
close(gcf);
figure(hfig);
subplot(1,nPlot,iCmd);
hold on;
for iAnimal = 1:4
vrX = [1,2,3];
vrY2 = [mean(csZ_V{iAnimal+1, 1, 1}), mean(csZ_V{iAnimal+1, 1, 2}), mean(csZ_V{iAnimal+1, 1, 3})];
vrE2 = [sem(csZ_V{iAnimal+1, 1, 1}), sem(csZ_V{iAnimal+1, 1, 2}), sem(csZ_V{iAnimal+1, 1, 3})];
errorbar(vrX, vrY2, vrE2, ['k' vcShape(iAnimal), ':']);
vrY3 = [mean(csZ_V{iAnimal+1, 2, 1}), mean(csZ_V{iAnimal+1, 2, 2}), mean(csZ_V{iAnimal+1, 2, 3})];
vrE3 = [sem(csZ_V{iAnimal+1, 2, 1}), sem(csZ_V{iAnimal+1, 2, 2}), sem(csZ_V{iAnimal+1, 2, 3})];
errorbar(vrX, vrY3, vrE3, ['r' vcShape(iAnimal), ':']);
end
set(gca, 'XTick', 1:3);
set(gca, 'XLim', [.5 3.5]);
set(gca, 'XTickLabel', {'Early', 'Late', 'Probe'});
ylabel(csCmd{iCmd,2});
end
%% Corr stats
csCmd = {'IPI.vrCorrV_D', 'IPI.vrCorrI_D', 'Corr. w/ \Deltad'; ...
'IPI.vrCorrV_I', 'IPI.vrCorrA_I', 'Corr. w/ IPI';...
'IPI.vrCorrVHA_A', 'IPI.vrCorrD_A', 'Corr. w/ \theta_T'};
sem = @(x)std(x)/numel(x);
vcShape = 'o^sd'; %animal's shape
hfig = figure;
for iCmd = 1:size(csCmd,1)
[AX, AX1, csZ_V1] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,1}, [], csCmd{iCmd,3}); close(gcf);
[AX, AX1, csZ_V2] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,2}, [], csCmd{iCmd,3}); close(gcf);
figure(hfig); subplot(1,3,iCmd); hold on;
for iAnimal = 1:4
vrX = [1,2,3];
vrY1 = [mean(csZ_V1{iAnimal+1, 1, 1}), mean(csZ_V1{iAnimal+1, 1, 2}), mean(csZ_V1{iAnimal+1, 2, 3})];
vrE1 = [sem(csZ_V1{iAnimal+1, 1, 1}), sem(csZ_V1{iAnimal+1, 1, 2}), sem(csZ_V1{iAnimal+1, 2, 3})];
errorbar(vrX, vrY1, vrE1, ['k' vcShape(iAnimal), ':']);
vrY2 = [mean(csZ_V2{iAnimal+1, 1, 1}), mean(csZ_V2{iAnimal+1, 1, 2}), mean(csZ_V2{iAnimal+1, 3, 3})];
vrE2 = [sem(csZ_V2{iAnimal+1, 1, 1}), sem(csZ_V2{iAnimal+1, 1, 2}), sem(csZ_V2{iAnimal+1, 3, 3})];
errorbar(vrX, vrY2, vrE2, ['b' vcShape(iAnimal), ':']);
end
set(gca, 'XTick', 1:3);
set(gca, 'XLim', [.5 3.5]);
set(gca, 'XTickLabel', {'Early', 'Late', 'Probe'});
ylabel(csCmd{iCmd,3});
end
%% Vaf stats
csCmd = {'IPI.vrVafV_D', 'IPI.vrVafI_D', 'Vaf w/ \Deltad'; ...
'IPI.vrVafV_I', 'IPI.vrVafA_I', 'Vaf w/ IPI';...
'IPI.vrVafVHA_A', 'IPI.vrVafV_A', 'Vaf w/ \theta_T'};
sem = @(x)std(x)/numel(x);
vcShape = 'o^sd'; %animal's shape
hfig = figure;
for iCmd = 1:size(csCmd,1)
[AX, AX1, csZ_V1] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,1}, [], csCmd{iCmd,3}); close(gcf);
[AX, AX1, csZ_V2] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,2}, [], csCmd{iCmd,3}); close(gcf);
figure(hfig); subplot(1,3,iCmd); hold on;
for iAnimal = 1:4
vrX = [1,2,3];
vrY1 = [mean(csZ_V1{iAnimal+1, 1, 1}), mean(csZ_V1{iAnimal+1, 1, 2}), mean(csZ_V1{iAnimal+1, 1, 3})];
vrE1 = [sem(csZ_V1{iAnimal+1, 1, 1}), sem(csZ_V1{iAnimal+1, 1, 2}), sem(csZ_V1{iAnimal+1, 1, 3})];
errorbar(vrX, vrY1, vrE1, ['k' vcShape(iAnimal), ':']);
vrY2 = [mean(csZ_V2{iAnimal+1, 1, 1}), mean(csZ_V2{iAnimal+1, 1, 2}), mean(csZ_V2{iAnimal+1, 1, 3})];
vrE2 = [sem(csZ_V2{iAnimal+1, 1, 1}), sem(csZ_V2{iAnimal+1, 1, 2}), sem(csZ_V2{iAnimal+1, 1, 3})];
errorbar(vrX, vrY2, vrE2, ['b' vcShape(iAnimal), ':']);
end
set(gca, 'XTick', 1:3);
set(gca, 'XLim', [.5 3.5]);
set(gca, 'XTickLabel', {'Early', 'Late', 'Probe'});
ylabel(csCmd{iCmd,3});
end
%% Backward-swim stats. forward vs. backward
% 'double(RS.vrV<0)', 'Prob. Backswim'
csCmd = {'IPI.vrD*10; vlZ=vlZ&IPI.vrV>0;', 'IPI.vrD*10; vlZ=vlZ&IPI.vrV<0;', '<\Deltad> (mm/IPI)'; ...
'abs(rad2deg(RS.vrHAV)); vlZ=vlZ&RS.vrV>0;', 'abs(rad2deg(RS.vrHAV)); vlZ=vlZ&RS.vrV<0;', '<\omega_H> (deg/s)'; ...
'abs(RS.vrV); vlZ=vlZ&RS.vrV>0;', 'abs(RS.vrV); vlZ=vlZ&RS.vrV<0;', '<Speed> (cm/s)'; ...
'IPI.vrI*1000; vlZ=vlZ&IPI.vrV>0;', 'IPI.vrI*1000; vlZ=vlZ&IPI.vrV<0;', '<IPI> (ms)'};
sem = @(x)std(x)/numel(x);
vcShape = 'o^sd'; %animal's shape
vcPhase = 'rbg';
hfig = figure;
iZone = 1;
vsTrialPool = [vsTrialPool_E, vsTrialPool_L, vsTrialPool_P];
nPlot = size(csCmd,1);
for iCmd = 1:nPlot
[AX, AX1, csZ_V1] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,1}, [], csCmd{iCmd,3}); close(gcf);
[AX, AX1, csZ_V2] = plotAnimals(vsTrialPool_E, vsTrialPool_L, vsTrialPool_P, ...
csCmd{iCmd,2}, [], csCmd{iCmd,3}); close(gcf);
figure(hfig); subplot(1,nPlot,iCmd); hold on;
vrX = [1,2];
for iPhase = 1:3
for iAnimal = 1:4
vrY = [mean(csZ_V1{iAnimal+1, iZone, iPhase}), mean(csZ_V2{iAnimal+1, iZone, iPhase})];
vrE = [sem(csZ_V1{iAnimal+1, iZone, iPhase}), sem(csZ_V2{iAnimal+1, iZone, iPhase})];
errorbar(vrX, vrY, vrE, [vcPhase(iPhase) vcShape(iAnimal), ':']);
end
end
set(gca, 'XTick', 1:2);
set(gca, 'XLim', [.5 2.5]);
set(gca, 'XTickLabel', {'Forward', 'Back'});
ylabel(csCmd{iCmd,3});
end
%% Approach vs. departure
% 'double(RS.vrV<0)', 'Prob. Backswim'
% csCmd = {'IPI.vrD*10', '<\Deltad> (mm/IPI)'; ... %R1
% 'abs(IPI.vrV)', '<Speed> (cm/s)'; ...
% 'abs(rad2deg(IPI.vrAh-IPI.vrAt))', '<\Deltatheta_E> (deg/s)'; ...
% 'IPI.vrIz', '<IPIz>'; ... %R2
% 'IPI.vrIq', '<IPIq>'; ...
% 'IPI.vrI*1000', '<IPI> (ms)'; ...
% 'IPI.vrWt', '<\omega_T> (ms)'; ... %R3
% 'IPI.vrWh', '<\omega_H> (ms)'; ...
% 'IPI.vrWv', '<\omega_V> (ms)'; ...
% 'IPI.vrAt', '<\theta_T> (ms)'};
csCmd = {'IPI.vrD*10', '<\Deltad> (mm/IPI)'; ... %R1
'abs(IPI.vrV)', '<Speed> (cm/s)'; ...
'IPI.vrAcc', '<Acc> (cm/s^2)'; ...
'IPI.vrI*1000', '<IPI> (ms)'};
iZone = 1; %plot all active
plotAll({vsTrialPool_E, vsTrialPool_L, vsTrialPool_P}, csCmd, iZone, {'vlApp(IPI)', 'App'; 'vlDep(IPI)', 'Dep'});
%% search-time near food
csCmd = {'getZone(RS,2)', 'Prob. near Landmarks'; ... %R1
'getZone(RS,5)', 'Prob. near Food'};
iZone = 1; %plot all active
plotAll({vsTrialPool_E, vsTrialPool_L, vsTrialPool_P}, csCmd, iZone);
% search-time near food
csCmd = {'IPI.vrD', 'mm/IPI near Landmarks'; ... %R1
'abs(RS.vrV)', 'Speed near Landmarks'; ...
'IPI.vrI*1000', 'IPI (ms) near Landmarks'};
iZone = 2; %plot all active
plotAll({vsTrialPool_E, vsTrialPool_L, vsTrialPool_P}, csCmd, iZone);
% search-time near food
csCmd = {'IPI.vrD', 'mm/IPI near Food'; ... %R1
'abs(RS.vrV)', 'Speed near Food'; ...
'IPI.vrI*1000', 'IPI (ms) near Food'};
iZone = 5; %plot all active
plotAll({vsTrialPool_E, vsTrialPool_L, vsTrialPool_P}, csCmd, iZone);
%% build corr bar graphs
vsTrialPool = [vsTrialPool_E, vsTrialPool_L, vsTrialPool_P];
IPI_A = poolTrials_IPI(vsTrialPool, 1);
IPI_B = poolTrials_IPI(vsTrialPool, 2);
IPI_C = poolTrials_IPI(vsTrialPool, 3);
IPI_D = poolTrials_IPI(vsTrialPool, 4);
figure;
subplot 221;
csZ = {IPI_A.vrCorrI_D, IPI_A.vrCorrV_D, IPI_A.vrCorrIV_D;...
IPI_B.vrCorrI_D, IPI_B.vrCorrV_D, IPI_B.vrCorrIV_D;...
IPI_C.vrCorrI_D, IPI_C.vrCorrV_D, IPI_C.vrCorrIV_D;...
IPI_D.vrCorrI_D, IPI_D.vrCorrV_D, IPI_D.vrCorrIV_D};
plotBarMuSem(csZ, {'A', 'B', 'C', 'D'}, {'m', 'c', 'k'});
ylabel('Correlation');
subplot 222;
csZ = {IPI_A.vrVafI_D, IPI_A.vrVafV_D, IPI_A.vrVafIV_D;...
IPI_B.vrVafI_D, IPI_B.vrVafV_D, IPI_B.vrVafIV_D;...
IPI_C.vrVafI_D, IPI_C.vrVafV_D, IPI_C.vrVafIV_D;...
IPI_D.vrVafI_D, IPI_D.vrVafV_D, IPI_D.vrVafIV_D};
plotBarMuSem(csZ, {'A', 'B', 'C', 'D'}, {'m', 'c', 'k'});
ylabel('VAF');
subplot 223;
csZ = {IPI_A.vrCorrV_I, IPI_A.vrCorrA_I, IPI_A.vrCorrA_VHA;...
IPI_B.vrCorrV_I, IPI_B.vrCorrA_I, IPI_B.vrCorrA_VHA;...
IPI_C.vrCorrV_I, IPI_C.vrCorrA_I, IPI_C.vrCorrA_VHA;...
IPI_D.vrCorrV_I, IPI_D.vrCorrA_I, IPI_D.vrCorrA_VHA};
plotBarMuSem(csZ, {'A', 'B', 'C', 'D'}, {'m', 'c', 'k'});
ylabel('Correlation');
subplot 224;
csZ = {IPI_A.vrVafV_I, IPI_A.vrVafA_I, IPI_A.vrVafA_VHA;...
IPI_B.vrVafV_I, IPI_B.vrVafA_I, IPI_B.vrVafA_VHA;...
IPI_C.vrVafV_I, IPI_C.vrVafA_I, IPI_C.vrVafA_VHA;...
IPI_D.vrVafV_I, IPI_D.vrVafA_I, IPI_D.vrVafA_VHA};
plotBarMuSem(csZ, {'A', 'B', 'C', 'D'}, {'m', 'c', 'k'});
ylabel('VAF');
%% Dist per DIPI
% Dist per DIPI
csTrials = {vsTrialPool_E, vsTrialPool_L, vsTrialPool_P};
csPlot = {'Early', 'Late', 'Probe'};
% csTrials = {vsTrialPool_P, vsTrialPool_NP, vsTrialPool_WP}; csPlot = {'Stable', 'None', 'Unstable'};
csCmd = {'IPI.vrDsac', 'Esac/cm', '@(x)1./mean(x)', '@(x)0'; ...
'IPI.vrDsac_LM', 'Esac/cm', '@(x)1./mean(x)', '@(x)0'; ...
'IPI.vrDsac_F15', 'Esac/cm', '@(x)1./mean(x)', '@(x)0'};
plotAll(csTrials, csCmd, 1, csPlot);
suptitle('Active zone');
axis([.5 3.5 .05 .35]); set(gca, 'YTick', .05:.1:.35);
ylabel('');
%% Dist per DIPI
csCmd = {'IPI.vrDsac_LM', 'cm/Esac'; ...
'IPI.vrIsac_LM', 'Esac interval (s)'};
plotAll(csTrials, csCmd, [], csPlot);
suptitle('LM<3');
% Dist per DIPI
csCmd = {'IPI.vrDsac_F15', 'cm/Esac'; ...
'IPI.vrIsac_F15', 'Esac interval (s)'};
plotAll(csTrials, csCmd, [], csPlot);
suptitle('F<15');
%% show traj
figure;
S = vsTrialPool_P(1);
imshow(imadjust(S.img0)); hold on;
mrX = S.mrX(1:5000,:);
mrY = S.mrY(1:5000,:);
for i=1:100:size(mrX,1)
plot(mrX(i,[2,4]), mrY(i,[2,4]), 'b-');
plot(mrX(i,[4,6]), mrY(i,[4,6]), 'r-');
plot(mrX(i,[4]), mrY(i,[4]), 'k.');
end
% plot(mrX(:,2), mrY(:,2), 'r.'); hold on;
% plot(mrX(:,2), mrY(:,2), 'b-'); hold on;
plot(mrX(:,4), mrY(:,4), 'k:'); hold on; %midpoint
%% Sampling density
sem = @(x)std(x)/numel(x);
% csCmd = {'abs(IPI.vrD)', '<\Deltad>^{-1} (N/mm)'; ...
% 'abs(rad2deg(IPI.vrDHA))', '<\Delta\theta_H>^{-1} (N/deg)'; ...
% 'abs(rad2deg(IPI.vrDA))', '<\Delta\theta_T>^{-1} (N/deg)'; ...
% 'abs(RS.vrV)', 'Speed (cm/s)';...
% 'abs(rad2deg(RS.vrHAV))', '<\omega_H> (deg/s)';...
% 'abs(rad2deg(RS.vrV))', '<\theta_T> (deg/s)'};
csCmd = {'abs(IPI.vrD*10)', '<\Deltad> (mm/IPI)'; ...
'abs(RS.vrV)', '<Speed> (cm/s)';...
'abs(rad2deg(RS.vrAt))', '<\theta_T> (deg/s)'; ...
'double(RS.vrV<0)', 'Prob. Back-swim'};