Download scripts/Run_Thresh_2D_AS.m from jalauer/Singh2020: direct link, hf CLI and curl.
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https://huggingface.co/datasets/jalauer/Singh2020/resolve/main/scripts/Run_Thresh_2D_AS.m
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hf download hf://datasets/jalauer/Singh2020/scripts/Run_Thresh_2D_AS.m
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curl -L -o Run_Thresh_2D_AS.m https://huggingface.co/datasets/jalauer/Singh2020/resolve/main/scripts/Run_Thresh_2D_AS.m
2.25 kB
| function [Corrected_P] = Run_Thresh_2D_AS(TEMP1,TEMP2,ttesttype) | |
| % RUN Threshold in TF plots: modified by ARUN | |
| idxNum = 13; % modufied Arun | |
| SHUFFLES=1000; | |
| for shuffi=1:SHUFFLES | |
| tempAB=cat(1,TEMP1,TEMP2); | |
| % idx=shuffle([ones(1,25),zeros(1,25)]); % Default for older program | |
| idx=shuffle([ones(1,idxNum),zeros(1,idxNum)]); | |
| A=tempAB(idx==1,:,:); | |
| B=tempAB(idx==0,:,:); | |
| tfPpoints = size(A,3); % modufied Arun | |
| tffpoints = size(A,2); % modufied Arun | |
| if strmatch(ttesttype,'between') | |
| [H,P,CI,STATS]=ttest2(A,B); | |
| elseif strmatch(ttesttype,'within') | |
| [H,P,CI,STATS]=ttest(A,B); | |
| end | |
| P(P<=.05)=NaN; P(P>.05)=0; P(isnan(P))=1; | |
| P=squeeze(P); STATS.tstat=squeeze(STATS.tstat); | |
| l=bwlabel(P); | |
| dims=size(P); | |
| lmax=max(reshape(l,1,dims(1)*dims(2))); | |
| if lmax>0 | |
| for ei=1:lmax | |
| [row,col] = find(l == ei); | |
| for clusti=1:size(row,1); | |
| temp(clusti) = abs(STATS.tstat(row(clusti),col(clusti))); | |
| end | |
| tempthresh(ei) = sum(temp); clear temp; | |
| end | |
| THRESH(shuffi) = max(tempthresh); | |
| clear row col tempthresh ; | |
| else | |
| THRESH(shuffi) = 0; | |
| end | |
| clear H CI P STATS temp* A B idx l dims lmax; | |
| end | |
| THRESH=sort(THRESH); | |
| ThisThreshold=THRESH(end-SHUFFLES*.05); | |
| % NOW Run 1D size of effects | |
| if strmatch(ttesttype,'between') | |
| [H,P,CI,STATS]=ttest2(TEMP1,TEMP2); | |
| elseif strmatch(ttesttype,'within') | |
| [H,P,CI,STATS]=ttest(TEMP1,TEMP2); | |
| end | |
| P(P<=.05)=NaN; P(P>.05)=0; P(isnan(P))=1; | |
| Corrected_P=zeros(tffpoints,tfPpoints); | |
| P=squeeze(P); STATS.tstat=squeeze(STATS.tstat); | |
| l=bwlabel(P); | |
| dims=size(P); | |
| lmax=max(reshape(l,1,dims(1)*dims(2))); | |
| if lmax>0 | |
| for ei=1:lmax | |
| [row,col] = find(l == ei); | |
| for clusti=1:size(row,1); | |
| temp(clusti) = abs(STATS.tstat(row(clusti),col(clusti))); | |
| end | |
| if sum(temp) > ThisThreshold; | |
| for clusti=1:size(row,1); | |
| Corrected_P(row(clusti),col(clusti))=1; | |
| end | |
| end | |
| clear temp row col; | |
| end | |
| end | |
| clear H CI P STATS temp* A B idx l dims lmax; | |
| clear THRESH ThisThreshold | |