Difference between revisions of "Matlab"

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Here is the new matlab script page!


==Framework==
===[[Framework]]===
===Loops===
===Screens===
===Show / hide mouse cursor===
===Example: using loops to control blocks and trials===


==Display==
===[[Display]]===
===Positioning===
===Show text onscreen===
===Loading images into MATLAB===
===Making Textures===
===Showing images on screen===
===Screen Flip===
===Example: displaying onscreen images===


==Input / Output==
===[[Input / Output]]===
===Wait for user input===
===Check input value===
===Saving out data===
===Example: save data to a text file===


==Psychology Experiment Specific==
===[[Psychology Experiment Specific]]===
===Subject number===
===Assigning conditions===
===Flipping conditions===
===Condition based image loading===
===Condition based image display===
===Display fixation point===
===Randomizing image order/positioning===
===Measuring reaction time===
===Check for correct response===


==Eyelink==
===[[Eyelink_1000_Eye-Tracking_System#Matlab_Code|Eyelink]]===
under construction...


==Full Examples==
===[[Full Examples]]===
===Shape Search===
 
===Automatic coding of correct trials===
See our [[Script Repository]] for some MATLAB scripts.
%INSTRUCTIONS: Make sure you have the participants data file in the same
 
%folder as this .m file. Data file should follow this naming format:
==Additional Resources==
%'sXX.txt', where XX is the participant's subject number. Run file, enter
[[Quick notes]]
%subject number and condition number. Console will show you brief summary
 
%of accuracy data. Coded data file is saved to the same folder under the
[http://books.google.ca/books?id=FZZ76H5pCdAC&pg=PA1&lpg=PA1&dq=matlab+for+behavioral+scientists&source=bl&ots=_lkZSVjLsa&sig=B3ZAK4Gt3mCz80AA4zI1ApaIfi8&hl=en&sa=X&ei=XCiIUdD8GK7ligLOl4GICw&ved=0CD0Q6AEwAg Google Books' full text copy of David A. Rosenbaum's "MatLab for Behavioral Scientists"] A detailed and very helpful account of MatLab's uses specifically in psychology.
%name 'tsmXX.txt'
%clear existing variables
clear all
clc
%set subject and condition number
sub_num = input('Enter the subject number: ');
cond_num = input('Enter the condition number: ');
%coding participant responses
filename = strcat('s',int2str(sub_num),'.txt');
data = importdata(filename);
%read into correct list of responses and old/new from predefined list
answerSheet = strcat('cond',int2str(cond_num),'.txt');
answers = importdata(answerSheet);
switch cond_num
    case 1
        cantL = 1;
        cantU = 35;
        notL = 36;
        notU = 70;
        mineL = 71;
        mineU = 105;
        newL = 106;
        newU = 210;
    case 2
        cantL = 36;
        cantU = 70;
        notL = 71;
        notU = 105;
        mineL = 1;
        mineU = 35;
        newL = 106;
        newU = 210;
    case 3
        cantL = 71;
        cantU = 105;
        notL = 1;
        notU = 35;
        mineL = 36;
        mineU = 70;
        newL = 106;
        newU = 210;
    case 4
        cantL = 106;
        cantU = 140;
        notL = 141;
        notU = 175;
        mineL = 176;
        mineU = 210;
        newL = 1;
        newU = 105;
    case 5
        cantL = 141;
        cantU = 175;
        notL = 176;
        notU = 210;
        mineL = 106;
        mineU = 140;
        newL = 1;
        newU = 105;
    case 6
        cantL = 176;
        cantU = 210;
        notL = 106;
        notU = 140;
        mineL = 141;
        mineU = 175;
        newL = 1;
        newU = 105;
end
%correct recognition? if old object 123 are correct, if new object 4 right
for i = 1:210
    stimulus = data(i,2);
    if stimulus >= cantL && stimulus <= cantU
        correctResponse = 3; %cant have
        old = 1;
    elseif stimulus >= notL && stimulus <= notU
        correctResponse = 2; %not mine
        old = 1;
    elseif stimulus >= mineL && stimulus <= mineU
        correctResponse = 1; %mine
        old = 1;
    elseif stimulus >= newL && stimulus <= newU
        correctResponse = 4; %new
        old = 0;
    end
   
    %correct sort? does their response match the exact number in list?
    response = data(i,3);
    if response == correctResponse %sort
        data(i,5) = 1;
    else
        data(i,5) = 0;
    end
   
    if old == 1 %recognition
        switch data(i,3)
            case 1
                data(i,6) = 1;
            case 2
                data(i,6) = 1;
            case 3
                data(i,6) = 1;
            case 4
                data(i,6) = 0;
        end
    elseif old == 0
        switch data(i,3)
            case 1
                data(i,6) = 0;
            case 2
                data(i,6) = 0;
            case 3
                data(i,6) = 0;
            case 4
                data(i,6) = 1;
        end
    end
end
%display summary to console
data
sortScore = sum(data(:,5));
sortPerc = (sum(data(:,5))/210)*100;
disp(strcat('Sort: ',int2str(sortScore),'/210 ---- ',int2str(sortPerc),'%'))
recScore = sum(data(:,6));
recPerc = (sum(data(:,6))/210)*100;
disp(strcat('Recognition: ',int2str(recScore),'/210 ---- ',int2str(recPerc),'%'))
%output all to text file - space delimited
dataFile = strcat('tsm',int2str(sub_num),'.txt');
dlmwrite(dataFile, data, ' ');

Latest revision as of 22:52, 30 March 2015

Framework

Display

Input / Output

Psychology Experiment Specific

Eyelink

Full Examples

See our Script Repository for some MATLAB scripts.

Additional Resources

Quick notes

Google Books' full text copy of David A. Rosenbaum's "MatLab for Behavioral Scientists" A detailed and very helpful account of MatLab's uses specifically in psychology.

Retrieved from "http://real.psych.ubc.ca/index.php?title=Matlab&oldid=2360"