bootes - compare correlations

bootes is specifically designed to be used by cognitive neuroscientists to compare correlations among experimental conditions.

% The function compares the magnitude of correlations between a covariate "c" and

% the dependent variable "d" across the experimental conditions A and B.

% The difference between the two bootstrapped ("k" cycles) z-distributions of correlations in

% the conditions A and B is estimated as the effect size (Cohen's d).

% Input data should be the dependent variable (e.g., brain activity in a certain

% region, for each subject) and the associated covariate (e.g., reaction times

% during the experiment, for each subject).

% Suggestion: implement different k to ensure a costant value of es.

% INPUTS:

% dA, dB -> Dependent variable (column vectors)

% cA, cB -> Associated covariate (column vectors)

% OPTIONAL: k -> Number of cycles (1000 by default)

% OPTIONAL: do_fig -> Want the figure? 1=yes, 0=no=default

%

% OUTPUTS

% es -> effect size

% IF YOU USE THIS SCRIPT YOU MAY WANT TO LOOK AT / CITE:

% Di Plinio, S (2022). Testing the magnitude of correlations across experimental conditions. Frontiers in Psychology, 13:860213. https://doi.org/10.3389/fpsyg.2022.860213