Remi-Gau

"""Script to get all files touched by PRs."""


import shutil
from pathlib import Path
from warnings import warn

import requests
from rich import print

Remi-Gau

X = [ normrnd(0,1,10,3) normrnd(0,.1,10,1) ]; % generate data
D = pdist(X, 'euclidean'); % compute euclidiant distance

% do multidimensional scaling
% find a configuration with those inter-point distances

% If the first k elements of E are much larger than the remaining (n-k), then you 
% can use the first k columns of Y as k-dimensional points, whose interpoint 
% distances approximate D.  This can provide a useful dimension reduction for 
% visualization, e.g., for k==2.

Remi-Gau

% extracts confounds of interest from fmriprep timeseries.tsv
% and saves them for easier ingestion by SPM model specification
%
% the output should have a BIDS like structure too a bit like this
%
% spm12
% ├── CHANGES
% ├── dataset_description.json
% ├── README
% └── sub-01

Remi-Gau

name: update submodules

# requires sudmodules URL to be "https..." (no ssh)
#
# requires submodule to be specified to follow a specific branch (stored in .gitmodules)
#
# clone them with:
#
#   git submodule add -b branch_to_follow https://github.com/... submodule_path
#

Remi-Gau

repo_with_submod

More details here:

https://git-scm.com/book/en/v2/Git-Tools-Submodules

Adding submodules in the repo

I add 2 dummy repo I created on my account as submodules

Remi-Gau

function [audio_config] = triggerSend(action, device, audio_config)
% a wrapper function to interact with psychport audio in case you are using a Fireface UC Mac / RME_RCAtrig
%       external sound card.
%
% usage: 
%   [audio_config] = triggerSend('open', device, audio_config)
%       Will open PsychPortAudio and return audio_config with the relevant
%       field that are needed later (pahandle, dev_n_channels, devID). Will also set volume of trigger 
%       channel when using the external sound card.
%

Remi-Gau

% small script to show how stat significance filters results and leads to
% overestimation of effect size if only positive findings are considered


clear;
clc;

STD = 1; % Standard deviation of the effect (true std of the population we are modelling)
UES = 0.1:.1:1; % Unstandardized Effect size (true mean of the population we are modelling)
SES = UES/STD; % Standardized effect size (for info)

Remi-Gau

% small script to show some basic way to render volume data on surfaces using SPM

clear
close all
clc

% which surface to use
% uses one of the default SPM surfaces but it should be doable to create you own
% from the results of a segmentation or from some freesurfer output to have
% a better group template

Remi-Gau

% small matlab script to show how p-hacking "increases power" : 
% number of false negatives drops as more studies are "p-hacked"

% from Iaonnidis 2005; table 2 ; DOI: 10.1371/journal.pmed.0020124
R = 0.1; % pre-study odds
u = 0:.02:1; % bias : proportion of study that should have given a 
% negative but turn out positive (QRPs or other errors).
c = 100; %number of relationship tested
alpha = 0.05;
beta = 0.5;

Remi-Gau

% script that prints the results of an SPM contrats (obtained via the GUI on SPM)
% to a csv file

%% Print a csv files of the results
Results_file = 'result.csv';

fid = fopen (Results_file, 'w');

fprintf (fid, '%s', xSPM.title);
fprintf (fid, '\n\n');