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%% Step 3 3AOB
clear all; clc
addpath('Z:\EXPERIMENTS\mTBICoBRE\EEG\');
datadir='Z:\EXPERIMENTS\mTBICoBRE\EEG\3AOB Processed\';
homedir='Z:\EXPERIMENTS\mTBICoBRE\MANUSCRIPT 3AOB\';
cd(homedir);
load('Z:\EXPERIMENTS\mTBICoBRE\EEG\BV_Chanlocs_60.mat');
tx2disp=-500:2:1000;
% Load Data
s1_Load_Data;
% Kill Data
s2_Kill_Data;
%% Demographics
s3_Demographics;
sx_Predict_Attrition;
%% Example ERPs
StdSite=find(strcmpi('FCz',{BV_Chanlocs_60.labels}));
StdT1=300; StdT2=450;
TargSite=find(strcmpi('Pz',{BV_Chanlocs_60.labels}));
TargT1=400; TargT2=600;
NovSite=find(strcmpi('FCz',{BV_Chanlocs_60.labels}));
NovT1=300; NovT2=450;
ERPSITE=[StdSite,TargSite,NovSite];
ERPWINS=[StdT1,StdT2;TargT1,TargT2;NovT1,NovT2];
ERPWINS_tx2disp=[[find(tx2disp==StdT1),find(tx2disp==StdT2)];...
[find(tx2disp==TargT1),find(tx2disp==TargT2)];...
[find(tx2disp==NovT1),find(tx2disp==NovT2)] ];
s4_Example_ERPs
%% ERPs by Group
time=1;
s5_ERPs_by_Group
%% For SPSS
s6_FOR_SPSS
figure; boxplot(FORSPSS(:,[10,11,16,17,22,23])); % Raw, Scaled
skewness(FORSPSS(:,[10,11,16,17,22,23])) % not skewed
% Calculate reliability for controls
CTL_REL=FORSPSS(FORSPSS(:,3)==1,:);
[REL.rho.F12,REL.p.F12]=corr(CTL_REL(:,11),CTL_REL(:,17),'type','Spearman','rows','pairwise'); % F_Tot 1 & 2
[REL.rho.F13,REL.p.F13]=corr(CTL_REL(:,11),CTL_REL(:,23),'type','Spearman','rows','pairwise'); % F_Tot 1 & 3
[REL.rho.F23,REL.p.F23]=corr(CTL_REL(:,17),CTL_REL(:,23),'type','Spearman','rows','pairwise'); % F_Tot 2 & 3
[REL.rho.P3b12,REL.p.P3b12]=corr(CTL_REL(:,11+1),CTL_REL(:,17+1),'type','Spearman','rows','pairwise'); % P3b 1 & 2
[REL.rho.P3b13,REL.p.P3b13]=corr(CTL_REL(:,11+1),CTL_REL(:,23+1),'type','Spearman','rows','pairwise'); % P3b 1 & 3
[REL.rho.P3b23,REL.p.P3b23]=corr(CTL_REL(:,17+1),CTL_REL(:,23+1),'type','Spearman','rows','pairwise'); % P3b 2 & 3
[REL.rho.P3a12,REL.p.P3a12]=corr(CTL_REL(:,11+2),CTL_REL(:,17+2),'type','Spearman','rows','pairwise'); % P3a 1 & 2
[REL.rho.P3a13,REL.p.P3a13]=corr(CTL_REL(:,11+2),CTL_REL(:,23+2),'type','Spearman','rows','pairwise'); % P3a 1 & 3
[REL.rho.P3a23,REL.p.P3a23]=corr(CTL_REL(:,17+2),CTL_REL(:,23+2),'type','Spearman','rows','pairwise'); % P3a 2 & 3
%% Correlations
DV=IDENTITY.QUEX(:,find(strcmp('F_Tot',IDENTITY_QUEX_HDR)));
time=1;
CONDI4Corr=3; % Std, Targ, Nov
s6_Correlations
%% Predictions
quexidx=find(strcmp('F_Tot',IDENTITY_QUEX_HDR));
CONDI4Corr=2; % Std, Targ, Nov
s6_Correlations_S1EEG_With_FrSBediffs
%% -------------- Between-Group rho-to-z
% Just type 'em in here from the plots (remember number on plots is df, not N):
r1=-.11
n1=38
r2=-.46
n2=23
clc;
t_r1 = 0.5*log((1+r1)/(1-r1));
t_r2 = 0.5*log((1+r2)/(1-r2));
z = (t_r1-t_r2)/sqrt(1/(n1-3)+1/(n2-3))
p = (1-normcdf(abs(z),0,1))*2
%% -------------- Within-Group rho-to-z
s7_Mengs_z
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