|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
s7_Mengs_z
|
|
|
|
|
|
|
|
|
|
