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%make heatmaps out of the relative risk matrix | ||
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cd .. | ||
cd .. | ||
cd matrices | ||
load OR_2013 | ||
load qlabel_033014 | ||
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drugs={'Q25','Q27','Q29','Q31','Q32'}; | ||
violence={'Q01', 'Q02', 'Q03', 'Q04', 'Q05', 'Q06','Q10', 'Q74', 'Q75', 'Q50', 'Q51'}; | ||
suicide={'Q11','Q12','Q13','Q14','Q16'}; | ||
alcohol_marijuana={'Q17','Q18','Q19','Q21','Q23','Q53', 'Q55'}; % 'Q50','Q51'}; | ||
disordered_eat={'Q38','Q39','Q40'}; | ||
cigarette={'Q53','Q55','Q57','Q58','Q59'}; | ||
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ques='Q79'; | ||
OR=oddsratio2013; | ||
[r,c]=size(OR); | ||
OR=OR(2:r,:); | ||
indx=find(strcmp(OR(:,1),'Q79')==1); %put in the number for Rx drugs | ||
OR=OR(indx,:); | ||
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purple_grey=[99/255 86/255 136/255]; | ||
light_purple=[106/255 90/255 205/255]; | ||
green_blue=[67/255 205/255 128/255]; | ||
green=[0/255 205/255 102/255]; | ||
orange=[255/255 127/255 0/255]; | ||
blue=[24/255 116/255 205/255]; | ||
salmon=[205/255 51/255 51/255]; | ||
mauve=[205/255 96/255 144/255]; | ||
magenta=[205/255 41/255 144/255]; | ||
grey1=[192/255 192/255 192/255]; | ||
grey2=[97/255 97/255 97/255]; | ||
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q1='Q79'; | ||
xlab=OR(:,2); | ||
plot_mat=cell2mat(OR(:,7:9)); | ||
[indx_r, indx_c]=find(plot_mat<100000); | ||
indx_ru=unique(indx_r); | ||
plot_mat2=plot_mat(indx_ru,:); | ||
xlab2=xlab(indx_ru,:); | ||
indx=find(plot_mat2==0); | ||
plot_mat2(indx)=NaN; | ||
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[r,c]=size(plot_mat2); | ||
%x={'2009', '2011', '2013'}; | ||
x=1:r; | ||
for j=1:3 | ||
if j==1 | ||
color=[24/255 116/255 205/255]; %blue | ||
elseif j==2 | ||
color=[0/255 205/255 102/255]; %green | ||
elseif j==3 | ||
color=[255/255 127/255 0/255]; %orange | ||
%elseif | ||
% color=[205/255 0/255 0/255]; %red | ||
end | ||
y=plot_mat2(:,j); | ||
scatter(x, y, 5, color, 'filled'); | ||
hold on | ||
end | ||
avg=nanmean(plot_mat2,2); | ||
scatter(x, avg, 5, color, 'filled'); | ||
hold off | ||
set(gca,'XTickLabel', xlab); | ||
cd .. | ||
cd programs | ||
cd prescriptiondrugs | ||
cd results | ||
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saveas (gcf,'PO_OR.fig'); | ||
close | ||
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%drugs----------- | ||
count=1; | ||
druglab=cell.empty; | ||
for i=1:numel(drugs) | ||
indx=find(strcmp(xlab2,drugs{i})==1); | ||
if numel(indx)>0 | ||
plot_drugs(count,:)=plot_mat2(indx,:); | ||
druglab{count,1}=drugs{i}; | ||
count=count+1; | ||
end | ||
end | ||
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for i=1:numel(alcohol_marijuana) | ||
indx=find(strcmp(xlab2,alcohol_marijuana{i})==1); | ||
if numel(indx)>0 | ||
plot_drugs(count,:)=plot_mat2(indx,:); | ||
druglab{count,1}=alcohol_marijuana{i}; | ||
count=count+1; | ||
end | ||
end | ||
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%f1=subplot(2,3,1); | ||
[r,c]=size(plot_drugs); | ||
%x={'2009', '2011', '2013'}; | ||
x=1:r; | ||
for j=1:3 | ||
if j==1 | ||
color=[24/255 116/255 205/255]; %blue | ||
elseif j==2 | ||
color=[0/255 205/255 102/255]; %green | ||
%elseif | ||
% color=[255/255 127/255 0/255]; %orange | ||
elseif j==3 | ||
color=[205/255 0/255 0/255]; %red | ||
end | ||
y=plot_drugs(:,j); | ||
scatter(x, y,20,'b','o','filled'); | ||
hold on | ||
end | ||
avg=nanmean(plot_drugs,2); | ||
for i=1:numel(x) | ||
x1=x(i)-0.25; | ||
x2=x(i)+0.25; | ||
x_=[x1,x2]; | ||
y_=[avg(i),avg(i)]; | ||
plot(x_,y_, 'k'); | ||
end | ||
%hold off | ||
set(gca,'Xtick',1:r); | ||
label_new={'Ever used cocaine', 'Ever used heroin', 'Ever used methamphetamine', 'Ever injected Drugs', 'Ever used Ecstasy', 'Ever drink alcohol','Drank alcohol*','Had 5+ alcoholic drinks*', 'Ever used marijuana', 'Used marijuana*', 'Ever smoked cigarettes', 'Smoked cigarettes*'}; | ||
set(gca,'XTickLabel', label_new); | ||
xlim([0,r+1]); | ||
ylim([0 25]); | ||
title('Association between Rx Drug use and Drug, Alcohol and Cigarette Use', 'FontSize', 12, 'FontWeight', 'bold'); | ||
cd .. | ||
rotateXLabels(gca,45) | ||
cd results | ||
ylabel('Odds Ratio with Rx Drug Use', 'FontSize', 12); | ||
set (gca, 'FontSize', 12); | ||
saveas (gcf,'Drug_OR.fig'); | ||
print (gcf, '-dpdf', 'Fig3A.pdf'); | ||
close | ||
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%suicide and disordered eating----------- | ||
count=1; | ||
suicide_lab=cell.empty; | ||
plot_suicide=double.empty; | ||
for i=1:numel(suicide) | ||
indx=find(strcmp(xlab2,suicide{i})==1); | ||
if numel(indx)>0 | ||
plot_suicide(count,:)=plot_mat2(indx,:); | ||
suicide_lab{count,1}=suicide{i}; | ||
count=count+1; | ||
end | ||
end | ||
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for i=1:numel(disordered_eat) | ||
indx=find(strcmp(xlab2,disordered_eat{i})==1); | ||
if numel(indx)>0 | ||
plot_suicide(count,:)=plot_mat2(indx,:); | ||
suicide_lab{count,1}=disordered_eat{i}; | ||
count=count+1; | ||
end | ||
end | ||
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%f1=subplot(2,3,1); | ||
[r,c]=size(plot_suicide); | ||
%x={'2009', '2011', '2013'}; | ||
x=1:r; | ||
for j=1:3 | ||
if j==1 | ||
color=[24/255 116/255 205/255]; %blue | ||
elseif j==2 | ||
color=[0/255 205/255 102/255]; %green | ||
%elseif | ||
% color=[255/255 127/255 0/255]; %orange | ||
elseif j==3 | ||
color=[205/255 0/255 0/255]; %red | ||
end | ||
y=plot_suicide(:,j); | ||
scatter(x, y, 20,'b','o','filled'); | ||
hold on | ||
end | ||
avg=nanmean(plot_suicide,2); | ||
for i=1:numel(x) | ||
x1=x(i)-0.25; | ||
x2=x(i)+0.25; | ||
x_=[x1,x2]; | ||
y_=[avg(i),avg(i)]; | ||
plot(x_,y_, 'k'); | ||
end | ||
%hold off | ||
set(gca,'Xtick',1:r); | ||
label_new={'Felt sad or hopeless^', 'Considered suicide^', 'Planned suicide^', 'Was injured during suicide attempt^', 'Attempted Suicide^', 'Fasted to lose weight*', 'Took pill to lose weight*','Vomited to lose weight*'}; | ||
set(gca,'XTickLabel', label_new); | ||
xlim([0,r+1]); | ||
title('Association between Rx Drug use and Suicide, Disordered Eating', 'FontSize', 12, 'FontWeight', 'bold'); | ||
cd .. | ||
rotateXLabels(gca,45) | ||
cd results | ||
ylabel('Odds Ratio with Rx Drug Use', 'FontSize', 12); | ||
ylim([0 10]); | ||
set (gca, 'FontSize', 12); | ||
saveas (gcf,'suicide_eating_OR.fig'); | ||
print (gcf, '-dpdf', 'Fig3B.pdf'); | ||
close | ||
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%violence/safety----------- | ||
count=1; | ||
safe_lab=cell.empty; | ||
plot_safe=double.empty; | ||
for i=1:numel(violence) | ||
indx=find(strcmp(xlab2,violence{i})==1); | ||
if numel(indx)>0 | ||
plot_safe(count,:)=plot_mat2(indx,:); | ||
safe_lab{count,1}=violence{i}; | ||
count=count+1; | ||
end | ||
end | ||
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%f1=subplot(2,3,1); | ||
[r,c]=size(plot_safe); | ||
%x={'2009', '2011', '2013'}; | ||
x=1:r; | ||
for j=1:3 | ||
if j==1 | ||
color=[24/255 116/255 205/255]; %blue | ||
elseif j==2 | ||
color=[0/255 205/255 102/255]; %green | ||
%elseif | ||
% color=[255/255 127/255 0/255]; %orange | ||
elseif j==3 | ||
color=[205/255 0/255 0/255]; %red | ||
end | ||
y=plot_safe(:,j); | ||
scatter(x, y, 20,'b','o','filled'); | ||
hold on | ||
end | ||
avg=nanmean(plot_safe,2); | ||
for i=1:numel(x) | ||
x1=x(i)-0.25; | ||
x2=x(i)+0.25; | ||
x_=[x1,x2]; | ||
y_=[avg(i),avg(i)]; | ||
plot(x_,y_, 'k'); | ||
end | ||
%hold off | ||
set(gca,'Xtick',1:r); | ||
label_new={'Carried a weapon*', 'Carried a gun*', 'Carried a weapon at school*', 'Felt unsafe at school*', 'Been threatened at school*', 'Been in a fight*','Ever been forced to have sex', 'Been bullied at school^', 'Been electronically bullied^', 'Ridden with a driver who was drinking*', 'Driven while drinking*'}; | ||
set(gca,'XTickLabel', label_new); | ||
xlim([0,r+1]); | ||
title('Association between Rx Drug use and Physical Violence, School Safety', 'FontSize', 12, 'FontWeight', 'bold'); | ||
cd .. | ||
rotateXLabels(gca,45) | ||
cd results | ||
ylabel('Odds Ratio with Rx Drug Use', 'FontSize', 12); | ||
ylim([0 10]); | ||
set (gca, 'FontSize', 12); | ||
saveas (gcf,'violence_OR.fig'); | ||
print (gcf, '-dpdf', 'Fig3C.pdf'); | ||
%close | ||
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% | ||
% %drugs----------- | ||
% count=1; | ||
% druglab=cell.empty; | ||
% for i=1:numel(drugs) | ||
% indx=find(strcmp(xlab2,drugs{i})==1); | ||
% if numel(indx)>0 | ||
% plot_drugs(count,:)=plot_mat2(indx,:); | ||
% druglab{count,1}=drugs{i}; | ||
% count=count+1; | ||
% end | ||
% end | ||
% | ||
% f1=subplot(2,3,1); | ||
% [r,c]=size(plot_drugs); | ||
% %x={'2009', '2011', '2013'}; | ||
% x=1:r; | ||
% for j=1:3 | ||
% if j==1 | ||
% color=[24/255 116/255 205/255]; %blue | ||
% elseif j==2 | ||
% color=[0/255 205/255 102/255]; %green | ||
% %elseif | ||
% % color=[255/255 127/255 0/255]; %orange | ||
% elseif j==3 | ||
% color=[205/255 0/255 0/255]; %red | ||
% end | ||
% y=plot_drugs(:,j); | ||
% scatter(x, y, 15, 'b','o', 'filled'); | ||
% hold on | ||
% end | ||
% avg=mean(plot_drugs,2); | ||
% for i=1:numel(x) | ||
% x1=x(i)-0.25; | ||
% x2=x(i)+0.25; | ||
% x_=[x1,x2]; | ||
% y_=[avg(i),avg(i)]; | ||
% plot(x_,y_); | ||
% end | ||
% %hold off | ||
% set(gca,'Xtick',1:r); | ||
% set(gca,'XTickLabel', druglab); | ||
% xlim([0,r+1]); | ||
% | ||
% %alcohol_marijuana------ | ||
% %drugs----------- | ||
% count=1; | ||
% alclab=cell.empty; | ||
% for i=1:numel(alcohol_marijuana) | ||
% indx=find(strcmp(xlab2,alcohol_marijuana{i})==1); | ||
% if numel(indx)>0 | ||
% plot_alc(count,:)=plot_mat2(indx,:); | ||
% alclab{count,1}=alcohol_marijuana{i}; | ||
% count=count+1; | ||
% end | ||
% end | ||
% | ||
% f2=subplot(2,3,2:3); | ||
% [r,c]=size(plot_alc); | ||
% %x={'2009', '2011', '2013'}; | ||
% x=1:r; | ||
% for j=1:3 | ||
% if j==1 | ||
% color=[24/255 116/255 205/255]; %blue | ||
% elseif j==2 | ||
% color=[0/255 205/255 102/255]; %green | ||
% %elseif | ||
% % color=[255/255 127/255 0/255]; %orange | ||
% elseif j==3 | ||
% color=[205/255 0/255 0/255]; %red | ||
% end | ||
% y=plot_alc(:,j); | ||
% scatter(x, y, 15, 'b','o', 'filled'); | ||
% hold on | ||
% end | ||
% avg=mean(plot_alc,2); | ||
% for i=1:numel(x) | ||
% x1=x(i)-0.25; | ||
% x2=x(i)+0.25; | ||
% x_=[x1,x2]; | ||
% y_=[avg(i),avg(i)]; | ||
% plot(x_,y_); | ||
% end | ||
% hold off | ||
% set(gca,'Xtick',1:r); | ||
% set(gca,'XTickLabel', alclab); | ||
% xlim([0,r+1]); |
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