Difference between revisions of "Matlab"

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===[[Full Examples]]===
===[[Full Examples]]===
===Shape Search===
===Automatic coding of correct trials===
The following code will take a participant's data file, and based on their response on each trial, determine whether the answer was correct or incorrect and output a new file with the automated coding included
<source lang="matlab">
%INSTRUCTIONS: Make sure you have the participants data file in the same
%folder as this .m file. Data file should follow this naming format:
%'sXX.txt', where XX is the participant's subject number. Run file, enter
%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
%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);
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, ' ');
</source>

Revision as of 22:46, 3 July 2012

Here is the new matlab script page!

Framework

Display

Input / Output

Psychology Experiment Specific

Eyelink

under construction...

Full Examples

Retrieved from "http://real.psych.ubc.ca/index.php?title=Matlab&oldid=630"