Cavanagh2019 / scripts /s3_Demographics.m
jalauer's picture
Add files using upload-large-folder tool
2e77130 verified
% #######################################################################################################
% Count
for groupi=1:2
for time=1:3
Sx=logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==groupi) );
TABLE1_COUNT(groupi,time,:)=[sum(Sx),nansum(IDENTITY.DEMO(Sx,5))];
end
end
% Other neat stuff
for groupi=1:3
time=1;
Sx=logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==groupi) );
TABLE1_VARS(1,groupi,:)=[mean(IDENTITY.DEMO(Sx,6)),std(IDENTITY.DEMO(Sx,6))]; % Age
TABLE1_VARS(2,groupi,:)=[mean(IDENTITY.DEMO(Sx,7)),std(IDENTITY.DEMO(Sx,7))]; % YrsEd
for npi=1:5
TABLE1_VARS(2+npi,groupi,:)=[nanmean(IDENTITY.NP(Sx,3+npi)),nanstd(IDENTITY.NP(Sx,3+npi))];
end
end
CTL_Sx=logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==1) );
Acute_Sx=logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==2) );
Chronic_Sx=logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==3) );
[~,T1_P,~,T1_STATS]=ttest2([IDENTITY.DEMO(CTL_Sx,[6,7]),IDENTITY.NP(CTL_Sx,4:8)],[IDENTITY.DEMO(Acute_Sx,[6,7]),IDENTITY.NP(Acute_Sx,4:8)])
[~,T1_P,~,T1_STATS]=ttest2([IDENTITY.DEMO(CTL_Sx,[6,7]),IDENTITY.NP(CTL_Sx,4:8)],[IDENTITY.DEMO(Chronic_Sx,[6,7]),IDENTITY.NP(Chronic_Sx,4:8)])
% TABLE 2
IDENTITY.TBI(Acute_Sx,4) % GCS
nanmedian(IDENTITY.TBI(Acute_Sx,6)) % LOCmins median
iqr(IDENTITY.TBI(Acute_Sx,6)) % LOCmins iqr
nansum(IDENTITY.TBI(Acute_Sx,7))
nanmedian(IDENTITY.TBI(Acute_Sx,8)) % Days median
iqr(IDENTITY.TBI(Acute_Sx,8)) % Days iqr
nanmedian(IDENTITY.TBI(Chronic_Sx,6)) % LOCmins median
iqr(IDENTITY.TBI(Chronic_Sx,6)) % LOCmins iqr
nansum(IDENTITY.TBI(Chronic_Sx,7)) % Data not here
nanmedian(IDENTITY.TBI(Chronic_Sx,9)) % Days median
iqr(IDENTITY.TBI(Chronic_Sx,9)) % Days iqr
%% ###########################################################################
clear INTERCOR_Rho INTERCOR_P;
INDEX=[find(strcmp('BDI',IDENTITY_QUEX_HDR)),find(strcmp('NSItot',IDENTITY_QUEX_HDR)),find(strcmp('F_Tot_B4',IDENTITY_QUEX_HDR)),find(strcmp('F_Tot',IDENTITY_QUEX_HDR))];
COL={'bd','rd','md'};
SHIFT=[-.05,.05,0];
figure; hold on;
for groupi=1:2
for timei=1:3
Sx=logical( double(IDENTITY.DEMO(:,2)==timei) .* double(IDENTITY.DEMO(:,3)==groupi) );
for idxi=1:4
subplot(2,2,idxi); hold on;
ThisN=sum(~isnan(IDENTITY.QUEX(Sx,INDEX(idxi))));
plot(timei+SHIFT(groupi),nanmean(IDENTITY.QUEX(Sx,INDEX(idxi))),COL{groupi});
errorbar(timei+SHIFT(groupi),nanmean(IDENTITY.QUEX(Sx,INDEX(idxi))),nanstd(IDENTITY.QUEX(Sx,INDEX(idxi)))./sqrt(ThisN),'k.');
set(gca,'xlim',[0 4],'xtick',[1:1:3]);
title(IDENTITY_QUEX_HDR{INDEX(idxi)});
% ---
Sx1=logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==groupi) );
Sx2=logical( double(IDENTITY.DEMO(:,2)==2) .* double(IDENTITY.DEMO(:,3)==groupi) );
Sx3=logical( double(IDENTITY.DEMO(:,2)==3) .* double(IDENTITY.DEMO(:,3)==groupi) );
plot([1+SHIFT(groupi) 2+SHIFT(groupi)],[nanmean(IDENTITY.QUEX(Sx1,INDEX(idxi))), nanmean(IDENTITY.QUEX(Sx2,INDEX(idxi)))],'k-');
plot([2+SHIFT(groupi) 3+SHIFT(groupi)],[nanmean(IDENTITY.QUEX(Sx2,INDEX(idxi))), nanmean(IDENTITY.QUEX(Sx3,INDEX(idxi)))],'k-');
% ---
end
if time==1
[INTERCOR_Rho{groupi},INTERCOR_P{groupi}]=corr(IDENTITY.QUEX(Sx,[4,5,10]),'type','Spearman','rows','pairwise');
end
end
end
groupi=3; timei=1;
Sx=logical( double(IDENTITY.DEMO(:,2)==timei) .* double(IDENTITY.DEMO(:,3)==groupi) );
for idxi=1:4
subplot(2,2,idxi); hold on;
ThisN=sum(~isnan(IDENTITY.QUEX(Sx,INDEX(idxi))));
plot(timei+SHIFT(groupi),nanmean(IDENTITY.QUEX(Sx,INDEX(idxi))),COL{groupi});
errorbar(timei+SHIFT(groupi),nanmean(IDENTITY.QUEX(Sx,INDEX(idxi))),nanstd(IDENTITY.QUEX(Sx,INDEX(idxi)))./sqrt(ThisN),'k.');
set(gca,'xlim',[0 4],'xtick',[1:1:3]);
title(IDENTITY_QUEX_HDR{INDEX(idxi)});
[INTERCOR_Rho{3},INTERCOR_P{3}]=corr(IDENTITY.QUEX(Sx,[4,5,10]),'type','Spearman','rows','pairwise');
end
%%