1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
function plotBarsMeanDiffHandAngle_Differential_Timing_Violin(a,tr_c,col)
% a- the data of all participants
% tr_c- trials of each condition
% col- colors

set(groot, 'DefaultAxesXColor', [0,0,0], ...
           'DefaultAxesYColor', [0,0,0], ...
           'DefaultAxesZColor', [0,0,0])
       
co_afHit= col(1,:);
co_afErr= col(2,:);

a_s=a.indiv;

nS=size(a_s,1); % number of participants;
nC=size(tr_c,2); % number of conditions;

% mean and ci of each condition (each cell)
ma_s=a.m;
sea_s=a.se;

% vara_s=cia_s;
vara_s=[ma_s-sea_s;ma_s+sea_s];

bw=.25;
blocx=[1-.2 1+.2 2-.2 2+.2];

lw=2;
afs=24;
tfs=18;

xLim=[.5 2.5];
yLim=[-1.7 2.5];
yTick=-6:1:6;
yLabel='\DeltaHeading Angle (deg)';

figure('position',[50 100 300 400])
hold on
plot(xLim,[0 0],':','color',[1 1 1]*.2,'linewidth',lw)
for c=1:nC
    if (c==1 || c==2)
        co=co_afErr;
    else
        co=co_afHit;
    end
    
    if mod(c,2)
        bar(blocx(c),ma_s(c),'basevalue',0,'barwidth',bw,'linewidth',lw, 'edgecolor',co,'facecolor',co);
    else
        bar(blocx(c),ma_s(c),'basevalue',0,'barwidth',bw,'linewidth',lw, 'edgecolor',co,'facecolor','none');
    end
    
    plot([blocx(c) blocx(c)],vara_s(:,c),'-k','linewidth',lw)
    
end

% add p values
txtfs=16;
xtxtloc=xLim(1)+.5*(xLim(2)-xLim(1));
ydisttxt=.1*(yLim(2)-yLim(1));
ydistline=.05*(yLim(2)-yLim(1));
ytxt_loc1=yLim(2);

if a.pPrev<0.05
    if a.pPrev<0.001
        text(xtxtloc,ytxt_loc1,'p<0.001','fontsize',txtfs,'horizontalalignment','center','fontweight','bold')
    else
        text(xtxtloc,ytxt_loc1,sprintf('p=%.3f',a.pPrev),'fontsize',txtfs,'horizontalalignment','center','fontweight','bold')
    end
else
    text(xtxtloc,ytxt_loc1,sprintf('p=%.3f',a.pPrev),'fontsize',txtfs,'horizontalalignment','center')
end
plot([1 2],ones(1,2)*ytxt_loc1-ydistline,'-k','linewidth',3)
for pl=1:2
    plot([pl-bw pl+bw],ones(1,2)*ytxt_loc1-2*ydistline,'-k','linewidth',1)
    plot([pl pl],[ytxt_loc1-2*ydistline ytxt_loc1-ydistline],':k','linewidth',2)
end

if a.pCurr<0.05
    if a.pCurr<0.001
        text(xtxtloc,ytxt_loc1-1.5*ydisttxt,'p<0.001','fontsize',txtfs,'horizontalalignment','center','fontweight','bold')
    else
        text(xtxtloc,ytxt_loc1-1.5*ydisttxt,sprintf('p=%.3f',a.pCurr),'fontsize',txtfs,'horizontalalignment','center','fontweight','bold')
    end
else
    text(xtxtloc,ytxt_loc1-1.5*ydisttxt,sprintf('p=%.3f',a.pCurr),'fontsize',txtfs,'horizontalalignment','center')
end
plot([(1-bw/2+diff([1-bw/2 2-bw/2])/2) (1+bw/2+diff([1+bw/2 2+bw/2])/2)],ones(1,2)*ytxt_loc1-1.5*ydisttxt-ydistline,'-k','linewidth',3)
plot([1-bw/2 2-bw/2],ones(1,2)*ytxt_loc1-1.5*ydisttxt-2*ydistline,'-k','linewidth',1)
plot(ones(1,2)*1-bw/2+diff([1-bw/2 2-bw/2])/2,[ytxt_loc1-1.5*ydisttxt-2*ydistline ytxt_loc1-1.5*ydisttxt-ydistline],':k','linewidth',2)
plot([1+bw/2 2+bw/2],ones(1,2)*ytxt_loc1-1.5*ydisttxt-3*ydistline,'-k','linewidth',1)
plot(ones(1,2)*1+bw/2+diff([1+bw/2 2+bw/2])/2,[ytxt_loc1-1.5*ydisttxt-3*ydistline ytxt_loc1-1.5*ydisttxt-ydistline],':k','linewidth',2)

set(gca,'xtick',blocx,'xticklabel',{'CS+','CS-','CS+','CS-'},'ytick',yTick,'fontsize',tfs,'tickdir','out')
xtickangle(-60)
ylabel(yLabel,'fontsize',afs)
xlim(xLim);
ylim(yLim);

% subtract according to the error in the previous trial (showing
% the change that is contibuted by the cue)
da_s=a.da_sCurr;
mda_s=a.mda_sCurr;
cida_s=a.cida_s_rangeCurr;

varda_s=cida_s;

xshift=0.12;
xloc=0.3.*rand(nS,1) +xshift;
bwDiff=1;

% ploting for the same prev error
co=mean([co_afErr;co_afHit]);
figure('position',[50 100 140 400])
hold on
plot(xLim,[0 0],':','color',[1 1 1]*.2,'linewidth',2)
        
bar(mean(xLim),mda_s,'basevalue',0,'barwidth',bwDiff,'linewidth',lw, 'edgecolor','k','facecolor',co);
plot([mean(xLim) mean(xLim)],varda_s,'-k','linewidth',2)
    
set(gca,'xtick',[],'xticklabel',[],'ytick',-6:6,'fontsize',tfs,'tickdir','out')
ax=gca;
ax.XAxis.Visible = 'off';
ylabel(yLabel,'fontsize',afs)
xlim(xLim);
ylim([-1.1 1.1]);

% Individual+violin
figure('position',[50 100 140 400])
hold on
plot(xLim,[0 0],':','color',[1 1 1]*.2,'linewidth',2)
        
scatter(mean(xLim)+xloc,da_s,50,'o','markeredgecolor','none','markerfacecolor',co,'markerfacealpha',.5);

xvalues = linspace( prctile(da_s,1), prctile(da_s,99), 100 );
[f,xi] = ksdensity(da_s,xvalues,'Bandwidth',1,'BoundaryCorrection','reflection');
patch( mean(xLim)-[f,zeros(1,numel(xi),1),0],[xi,fliplr(xi),xi(1)],co)

set(gca,'xtick',[],'xticklabel',[],'ytick',-12:3:12,'fontsize',tfs,'tickdir','out')
ax=gca;
ax.XAxis.Visible = 'off';
xlim([1.1 2.1]);
ylim([-6 6]);

end