sha256 stringlengths 64 64 | language stringclasses 27
values | size int32 1 491k | lines int32 1 21.8k | content stringlengths 1 200k |
|---|---|---|---|---|
1b9945bb15c9c624b1ef19d39576323b4dc6c227764c1982a7ec57da774836e2 | MATLAB | 1,141 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
e35f19f1bc03eba621976ce9ffa97ace22bdde2472ccd263a1888e8d17b49feb | MATLAB | 1,141 | 33 | function val = bigendian
% BIGENDIAN returns 1 (true) on a big endian machine, e.g. with a SUN Sparc
% or Apple G4 processor, or 0 (false) otherwise
%
% Example
% if (bigendian)
% % do something, e.g. swap some bytes
% end
%
% See also LITTLEENDIAN, SWAPBYTES, TYPECAST
% Copyrigth (C) 2007, Robert Oostenveld... |
b1f865ab9aad0b652f0b841abb47d5cde5efc3f71ad443b90a4d826ebe05d365 | MATLAB | 1,142 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
570f6d5d77de97782ced93d232aa834f2e3050ecd1ca6aa4cc28fa82ca661aa1 | MATLAB | 1,143 | 39 | function [MA_matrix] = create_matrix_MA(BS_window)
%% Create moving averages matrix from BS data
%
% **Usage:** [MA_matrix] = create_matrix_MA(BS_window)
%
% Input(s):
% - BS_window = preprocessed BS dataset.
%
% Output(s):
% - MA_matrix = Moving averages matrix, these are the features for training
% ... |
55c6c70bec0329cba42b57a63b9cac10bf709e94ab5428c0986ec86cea9b9d92 | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
5ed4114f2a53e8e9129182fd506e898f77a4bd22d5256da0c1f916cbcdf44d4c | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
89ff27cdcd7e05e43aa5e6e93c6260e0a3174dbf0e129a633e91761113582515 | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
8cbeb4d2723ffe7498c1d8f826de738fee3284d66e8f33a3d99076dcca5596c7 | MATLAB | 1,144 | 37 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
9871ad7157c606fb84280591ac02cf5d47335ec2a1f9c7c6c1accdd5db898f1f | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
a5e9e5dea585ed3efd49ab1bf48db19646ef876d2f0440f8a81d1ef23ca40ae9 | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
eb539324234331b384069df8920d02c111bda986fa75abc3500e7576cc6b6c9f | MATLAB | 1,144 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
00ff9ca69466793bdee4e0f0936664ac0b44a428dc15858fb6775c778da034f3 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
4189d6a41092ef327e5ec190c1de67caa5fb00abfd184f348731769eada41130 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
63c105aebfb1bd2daad636384388c89a0e938daa1d9e1ed4e15dc85f39943f37 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
7650f8e1460054ae82a8cf8bab1edb9dca586ee997d6028150cdcc209f76c6f1 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
7b2120474dfa5836a8915ead735dc33503c8c3eb5c8732010f71d4acd97be0de | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
868c17fdff86855d0d0a4f435384e41c88b9c53eb8b7422d859872979afaa140 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
8712e3482416dffaf786d8aa41a2c3714d6c4de9235c1198c199752424307991 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
9220ef3470df52f96ffdb50a6dcf9ada6c24aaa30a7c90b0d5c068203c4453d0 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
9287cb9a0e001a7c037d0164189fac721ddb8c5a96f497686fd3d3a4f8a5c497 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
bf01cded8cb75f23d5b2abc37336be560855f2a82c017d9b1ef94cffc33d0fc5 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
c8e3f012798dbfbb83f394fe3f1afa5687da6b4eaf3b12a3fdf690b3af57c6c8 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
d81e9ddc73afb32c6298b671be1e15063412acf0775300f7ae8057d41332a250 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
e2f3ce0ac1248e5758c38a5f491e77a68df498d5797e74f7d6a7755208adaab8 | MATLAB | 1,145 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
012b9a2c83edf2127590698213f2a5a8379f20dd0a14f75cfc4e9aa7749f5c00 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
0c8e1ddd14ab5f415407be32ef22496dd5fee1a3fce1839856bcbd8f2b1a953b | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
2d41e4cae2faf1cabdba822dd6b86c1a7515cb6d31fc3aa8c13e57a7e28c663e | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
313307826e8ecfb61f79af38572db6e4be15f9833fb45789abfa65b96095952b | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
32b108ecdc1dcddc2ab8e0d830c38e835f96fa755b1768f300e4405c531fe054 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
35e0fb88a013d7efb82212e499ecbce4d289e4fd97da225f2aed5e39ae4742ad | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
3de20434c4276c868f9cf979971f0c03ddf585b540b1efd23b5a30102b234fbb | MATLAB | 1,146 | 43 | function CBIG_write_delimited_txtfile(filename, headers_cell, alldata_str, out_info)
% Output specific field of headers cell array, all data string to textfile.
%
% CBIG_write_delimited_txtfile(filename, headers_cell, alldata_str, out_info)
% Input:
% filename : filename
% headers_cell: header cell... |
4b6ab28f479fdd3228268adeafc355a334962118ecff621b4997854f1fb80e05 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
670f61031e1a8b6b8858ad4106cc74a3e737463ad7336dbd0c44302cd4e44797 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
89d9ef6f7e0d15fe4dd29b6f07af018dfc51cdbf49d43229a931181eedf3ad9a | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
8e17cec53e81c3535bc217d1cc8f9a96f63352c90c634d5e3faec57d36bedd7d | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
90c7afd3a7219a12aa624683088d9a87434161fec570c39bd528ae8619d6b238 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
d151e9ed48d048553966ea989d125e87590e1a9c0ce762fa7e600d69ebb7876e | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
ecb0ea0852e3af4b017222e418499008a76a686aa3ffc1c88ee6bfeb29bd9781 | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
f8242eaeae45419b7454ae515555239522637569c4ebb95c2a4da00ffa4d657f | MATLAB | 1,146 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
1f889046874d35584007623aaa9c789ffc538ee833b7fcb283378cb33ba78847 | MATLAB | 1,147 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
6c77b2198e9bc024a8feafd7734711c3ba05941147eb21f87e6eb5cedd200f66 | MATLAB | 1,147 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
ad3a9ed7cf2a23b172398ba0e919ddb0b0a63f5438eb442f9dc52c3f192090cb | MATLAB | 1,147 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
e65f4f560bbc4e552b21327f86c4cdf323a2b35514a8b915e5a34203419d14c4 | MATLAB | 1,147 | 38 | % loop trough files in folder to make undistortion for all .nii files in
% folder
% Attention: the mask needs to be made first! (see
% Use_mc_undist_wouter_dante.m)
% This is STEP 2.
clear
% addpaths
addpath('/fmri/apps/spm5')
addpath('/fmri/spm5_scripts/')
addpath('/fmri/spm5_templates/')
addpath('/fmri/spm5_utils/'... |
586daebc9016995ef452c3d24f6129cd65f857c2aca7f7c64eccd2c272e0c14d | MATLAB | 1,148 | 43 | %%
% Pad the given input array so that it has the same dimensions as the
% reference array.
function padded = padlike(input, refSize, padwith, direction)
excess = refSize;
inSize = size(input);
excess(1:numel(inSize)) ...
= excess(1:numel(inSize)) - inSize;
... |
8d8c50454bae7e4997650b254d70fcc50a18508f20c5c202e09237f6f40ada87 | MATLAB | 1,150 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
cd85cf427e6ff48c1eef73e02753cdee680dd642a220ae84d39d03e8bb46fdd6 | MATLAB | 1,150 | 34 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
9c02ff5680e949fa8dbaf0da637df8f6d5a84fae81030992a91195a656521858 | MATLAB | 1,152 | 29 | function xmax=findpeaks(data,threshold)
% Helper function to find peaks in a given continuous valued time series x
% Usage: xmax=findpeaks(data,threshold)
% Input:
% data (data in time x channels/trials form or a single vector)
% threshold (if specified returns locations of peaks at which data exceeds thr... |
a8c7b3206b718331514bf12fbbfbe1816a3a28e045701a06a79e286c5b0f25b4 | MATLAB | 1,152 | 42 | %%
%
function [f] = powerlawfit(x, y, yError2, zeroError2)
% fitFunction object (static)
persistent fitFunction;
if isempty(fitFunction)
fitFunction = fittype('a*x^b + p1/(1 + abs(x)^q1)');
end
% Special case that returns the fittype
if nargin < 1
f = fitFunction;
... |
128816e0a429f9011d79908b86f44297c90be0473b0a3f7ae2be5ee20106eecf | MATLAB | 1,158 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
2b84f830c71f2f03bc9b50c414bf0a951a8a65872b87190a5ca1f451a87d5642 | MATLAB | 1,158 | 41 | %%
% Create a weighted histogram from the given data.
function [histo] = hist2(xData, yData, weights, nBinsX, xMin, xMax, nBinsY, yMin, yMax, varargin)
histo = zeros(nBinsY, nBinsX);
dx = (xMax - xMin) / nBinsX;
dy = (yMax - yMin) / nBinsY;
% Find the bin for each data point
x... |
e2a58e70791176ab6f0b980c26fcff1b76a85af8bb6043e32e2a6253e6121aa5 | MATLAB | 1,158 | 42 | %%
%
function [f] = cauchyfit(x, y, yError2, zeroError2)
% fitFunction object (static)
persistent fitFunction;
if isempty(fitFunction)
fitFunction = fittype('a / (1 + abs((x - o)/s)^b)');
end
% Special case that returns the fittype
if nargin < 1
f = fitFunction;
r... |
24fe019e1cb284d6c9e5043fdda392e4719b7be29837b417f0e8c7ec18d9a119 | MATLAB | 1,159 | 34 | %COLD Black-blue-cyan-white colormap
%
% Examples:
% map = cold;
% map = cold(len);
% B = cold(A);
% B = cold(A, lims);
%
% A black to white colormap through cold shades.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor array using the colormap.
%
% IN:
... |
32e0dc7415c1ce9613eb749dc5bec4ba5d0e97d8c52d27526d9e8bafc16dd137 | MATLAB | 1,161 | 41 | function [hfig] = spectrogramFigure(spec,timeAxis,freqAxis,specLimits,smoothSpan,interpFactor,cLabel,specLabel);
%
% Plot based on the number of spectrograms
switch (length(spec))
case 1
% Make Figure
hfig = makeFigure([8,3]);
% Plot
plotSpectrogram(spec{1},freqAxis,timeAxis/1000,smoothSpan,interp... |
9ae4e34c05a1d3495b3388513cbbe723ba2fc17b6a50d3d894b968ecb8c9be53 | MATLAB | 1,162 | 33 | function [results_to_plot] = normalise_data(results, biom_1, results_folder, cat_disp,normalise_to_ctrl_rep, normalise_to_ctrl, name)
if normalise_to_ctrl_rep
results_to_plot=[];
for i =1:(size(results,1)/3)
ctrl_mean = mean(results(i*3-2:i*3,5),'omitnan');
results_to_plot =... |
28476cfe7bb77d7b7eb2682dbe5fec7fa130f575b6ae630aca653c96b5771257 | MATLAB | 1,163 | 35 | function wod_writespykingcircus(slurm_task_id)
if ispc
addpath (genpath('\\lexport\iss01.charpier\analyses\wod\EpiCode\shared'))
addpath (genpath('\\lexport\iss01.charpier\analyses\wod\EpiCode\external'))
addpath (genpath('\\lexport\iss01.charpier\analyses\wod\EpiCode\templates'))
addpath (genpath('\\l... |
44fb988abc66b60ecef15aa034859412b4425c0481bb5f57484caad5e71a9463 | MATLAB | 1,163 | 39 | function outpict = simnorm(inpict,constraint)
% SIMNORM(INPICT,CONSTRAINT)
% simply normalize data to fit within the unit interval [0 1]
%
% INPICT is an image or array of any shape or class
% CONSTRAINT specifies the approach for rescaling data (default 'extrema')
% 'extrema' transforms the data such t... |
d185c2f593766c673ff99483f6d36bc8be8dc9a4aeec0cf4aaf892336d2b4e8d | MATLAB | 1,166 | 45 | paramArray(1).bottomWhisker = 1.5;
paramArray(1).bottomBox = 2.5;
paramArray(1).bottomNotch = 3;
paramArray(1).center = 3.5;
paramArray(1).topNotch = 4;
paramArray(1).topBox = 4.5;
paramArray(1).topWhisker = 5.2;
paramArray(1).outliers = [];
paramArray(2).bottomWhisker = 1.8;
paramArray(2).bottomBox = 2.7;
paramArray(... |
c6280174d263d097e8ff4b76020be452bb2482a4441df73d5ce64810a22c1e7e | MATLAB | 1,168 | 34 | function run_all()
% Conveniance function to run all the example analysis.
% ---------------------------------------------------------------------
% Copyright (C) 2024 Simon R. Steinkamp
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Pu... |
8eb6e1c79fbc0075489f979d279e8ef9461887e18072c6a7be40a208ba6a11aa | MATLAB | 1,169 | 35 | function counts = validate_discrete_labels(y, Ym, funcName, varName)
%VALIDATE_DISCRETE_LABELS Validate integer class labels and reject empty classes.
% counts = validate_discrete_labels(y, Ym, funcName, varName)
% checks that y contains integer labels in the range [0 Ym-1] and
% that every class has at least one... |
16845c0afbd751bf3510bc4c0e94754bf408b9267bda4a6b96255043202b0277 | MATLAB | 1,170 | 42 | function [y,mn]=nt_rereference(x,w,factor)
%[y,mn]=nt_rereference(x,w,factor) - rereference by subtracting weighted mean
%
% y: rereferenced data
% mn: subtracted reference
%
% x: data to rereference (time*channels or time*channels*trials
% w: mask
% factor: apply to mean before subtracting [default: 1]
%
... |
6b58dbad577b9ef609cc5f239d05918a39441d0cb447a913aa29fb3cbe81dc6b | MATLAB | 1,170 | 47 | %%
% Expands all inputs by repetition, until they have the same size.
%
function [varargout] = repeatAlike(varargin)
%% Compute sizes of all varargin
totalDims = max(cellfun(@ndims, varargin));
arraySize = cell(size(varargin));
example = [];
for iA = 1:numel(varargin)
arra... |
0cd303340f999cde00c52f3020bf89d6caea61a5479571abcd0c40e3e2da8bd0 | MATLAB | 1,171 | 38 | %% Function to get get reward location
function [RZ_XY, RZ_loc] = GetRewardLocation(XY, event, Correct, context)
if sum(ismember(context, 'A')) > 0
context_labels = ["A", "A'"];
Nrew = 2;
else
context_labels = ["B", "B'"];
Nrew = 1;
end
RZ_XY = zeros... |
732303e928bf36c860e47195de8dde59e415e3f6b1260ce089bd82711424ba92 | MATLAB | 1,171 | 42 | %%
%
function [f] = logcauchyfit(x, y, yError2, zeroError2)
% fitFunction object (static)
persistent fitFunction;
if isempty(fitFunction)
fitFunction = fittype('real( a / (1 + ((log(x) - o)/s)^b) )');
end
% Special case that returns the fittype
if nargin < 1
f = fitFun... |
413dbcbb6ef95d38b756f6bbf6e029b221940ef0e1a5a856d322f56b71c201c1 | MATLAB | 1,172 | 41 | function data = removeArtefactedTrials(cfg, data)
%remove artefacted trials,, defined by a value >0 in trialinfo.artefact
if isempty(data)
return
end
for ipart = 1:size(data,2)
fprintf('For part %d\n', ipart);
for markername = string(fieldnames(data{ipart}))'
fprintf('*** For %s... |
662cd46a0a99d37f145be2852fb50b7985272c11412f5fe30c225712e2c869bd | MATLAB | 1,174 | 38 | function [adj, sz_links] = CBIG_components_subgraphs(adj)
% Script to get components sub-graph.
%
% function [adj, sz_links] = CBIG_components_subgraphs(adj)
% Input:
% adj:adjacency matrix with values going from 1 to number of components with
% more than 1 node. The script assues that the ... |
7e54cada7d785f558ad483ec1148146503e88a92f624242faadc2ed9fa0f8a37 | MATLAB | 1,174 | 52 | function maskstack = mlmask(inpict,numlevels)
% OUTMASK=MLMASK(INPICT,NUMLEVELS)
% Simple multilevel mask generation tool. Resultant mask describes
% the distribution of image content falling into equal-width bins
% from black to white.
%
% INPICT is a single-frame I/RGB image of any standard im... |
568678f100069cd3be1a7e8127f246766b4301dcf75d7da10ee9663d43c6efd6 | MATLAB | 1,175 | 28 | function PET_project_grandaverage
restoredefaultpath
if ispc
addpath (genpath('\\lexport\iss02.charpier\analyses\vn_pet\EpiCode\shared'))
addpath (genpath('\\lexport\iss02.charpier\analyses\vn_pet\EpiCode\external'))
addpath (genpath('\\lexport\iss02.charpier\analyses\vn_pet\EpiCode\templates'))
addpat... |
e35d53ccc56bbd765bef4dd734a84d127dfe81ba72b3160437e0035b6032cb62 | MATLAB | 1,177 | 27 | function matrix = get_SN_vector(raster, signal_threshold, noise_start, noise_stop)
% get the signal - noise vector from the raster
%
% arguments: raster - cell array structure: (i.e output of get_raster function)
% signal_threshold - float: indicating time from flash onset ReaChR signal is expected t... |
5f4b9f6ec5efce42f5f9e2cc17aadbb3efa095205e8b5dfff97509e0f96208a7 | MATLAB | 1,178 | 41 | function addaxis_zoom_post(obj,evd)
% update the added axes with new zoom
% disp('zoom post');
%====================================================================
% This is a modification to accomodate the ADDAXIS commands.
% Check to see if add axis has been used and update the axes using
% ... |
dcd262cd7770b138609d0bba64630269cd1de89f79f2bf29297e2600e7b7de8c | MATLAB | 1,183 | 51 | %
% isInstalled = checkMatlabToolbox(tb)
%
% Description:
% check if a particular toolbox is installed
%
% Input:
% tb - toolbox short name, only support pct, smlt, ipt now
%
% Output:
% isInstalled - whether is installed or not
%
% Copyright:
% 2013-2018 (c) USC Biomedical Imaging Group (BigLab)
% ... |
dcb2864440017534cd0a0ad18134f9619978de6f0f05b60ca612e281b9afebee | MATLAB | 1,187 | 46 | function I = gcmi_cc(x, y)
% GCMI_CC Gaussian-Copula Mutual Information between two continuous variables.
% I = gcmi_cc(x,y) returns the MI between two (possibly multidimensional)
% continuous variables, x and y, estimated via a Gaussian copula.
% If x and/or y are multivariate rows must correspond to samples, co... |
03123f891b11a43b45132afa22598ed066eba41905f3576459adb5b973b19ff3 | MATLAB | 1,188 | 33 | %HOT Black-red-yellow-white colormap
%
% Examples:
% map = hot;
% map = hot(len);
% B = hot(A);
% B = hot(A, lims);
%
% Similar to MATLAB's hot function, but also able to return a concise
% colormap table.
%
% The function can additionally be used to convert a real-valued array into
% a truecolor a... |
b9f1be95cebe99b9e45e876d26c30560898a6e562699ffcaac464f22650b4df5 | MATLAB | 1,188 | 60 | function D = EuDist2(fea_a,fea_b,bSqrt)
%EUDIST2 Efficiently Compute the Euclidean Distance Matrix by Exploring the
%Matlab matrix operations.
%
% D = EuDist(fea_a,fea_b)
% fea_a: nSample_a * nFeature
% fea_b: nSample_b * nFeature
% D: nSample_a * nSample_a
% or nSample_a * nSample_b
%
% Ex... |
db1ca00b8bb5ec0bf838f999d0a98eb52716e4f9254b91cd2d0691f8b591fdcf | MATLAB | 1,188 | 51 | function outpict = hsi2rgb(inpict)
% HSI2RGB(INPICT)
% undoes an HSI conversion from (RGB2HSI)
%
% INPICT is an image of class double wherein
% H: [0 360)
% S: [0 1]
% L: [0 1]
%
% Return type is double, scaled [0 1]
%
% See also: rgb2hsv, rgb2hsl, rgb2hsi, rgb2hwb
% keep in mind that ... |
5b24d2e98b9aa4186673770fe274dffdb456e051db583d722ee3ed603a086e92 | MATLAB | 1,189 | 39 | function outnum = roundodd(innum,varargin)
% ROUNDODD(INNUM,{TYPE})
% Round numbers to odd integers, in the direction specified.
%
% INNUM is a real-valued numeric scalar or array
% TYPE specifies the type of rounding (default 'round')
% 'round' is similar to the inbuilt function round() in that values are
%... |
4ae576df5f9cc26367322742933239c67e1fe890146c9f589db83ef87d3d791b | MATLAB | 1,191 | 43 | clear, clc;
outputFolder = fullfile(pwd,'prt');
%% PRT Parameters
PRTParameters = struct();
PRTParameters.FileVersion = 2;
PRTParameters.Resolution = 'Volumes';
PRTParameters.ExperimentName = 'MusicNF_Main';
PRTParameters.BackgroundColor = [0 0 0];
PRTParameters.TextColor = [255 255 255];
PRTParameters.TimeCourseCol... |
96a843566d79ae04da3303aa5068620104f51e1927ee8bf27dff63940a8be4e4 | MATLAB | 1,192 | 46 | function varargout=nt_spect_plot2(x,varargin)
%nt_spect_plot2 - plot power spectrum
%
% The power spectral densities of all columns are calculated.
% The result is either plotted as an image or returned.
%
% See nt_spect_plot, and pwelch for syntax.
if ndims(x)>2;
[m,n,o]=size(x);
x=reshape(x,[m,n*o]);
... |
4c5d48abc2d48fe7c7ba57fdf0ff93d752602828a3044f17955b57f09d0568ac | MATLAB | 1,193 | 33 | function CBIG_SPGrad_create_cifti_template(resolution, output_dir)
% CBIG_SPGrad_create_cifti_template(resolution, output_dir)
%
% This script creates a cifti template for a given resolution
%
% Input:
% - resolution: (scalar)
% the number of vertices of surface mesh, e.g. 40962.
%
% - output_dir:
% ... |
c53f20d73546c695defb1b0f07309bd80a67cb6be3a41c09de58c0ab5f91d418 | MATLAB | 1,193 | 42 | function [bin, varargout] = findBin(x, xCenters, varargin)
% FINDBIN Locates the bin in xCenters in which x falls.
%
% If out of range, returns a negative answer unless a third argument is
% provided and is false. In the latter case containment checking is
% turned off.
%
% Note that the left edges of... |
30f48b0198f062bff7cc25b5515bb66d4644a9c9d8016cf1d7e713a06abf2060 | MATLAB | 1,195 | 57 | function [L, dLmedian]=PF_lengths_sub(Xt, Yt, Zt, maxk, mode)
%% Calculating PF lengths
if mode == 1
Nz=(abs(Xt)+abs(Yt)+abs(Zt))~=0;
else
Nz=(abs(Xt)+abs(Zt))~=0;
end
IndexToNonZero=Nz;
IndexToNonZero(1,:)=[];
%calculate the length along each PF
dXt=diff(Xt);
if mode == 1
dYt=diff(Yt);
e... |
86ca86386def24732d6f8b44158a3fdf5dd0ccb7f5cf665554e1323a8f44eeed | MATLAB | 1,200 | 44 | function [fy, ty, iAlign] = alignedResample(fx, tx, tAlign, dt, tBinRange)
% Data should be laid out in columns
if size(fx,1) == 1
fx = fx(:);
end
if size(tx,1) == 1
tx = tx(:);
end
% Compute center of alignment bin
iAlign = ceil((tAlign - tx(1)) / dt);
... |
9680867f755910dbf0096382db99b53f85d25af0ab5cf89667f2220ffee26a12 | MATLAB | 1,200 | 40 | function [U,S,V] = addSVD_Hall( UX, SX, VX, muX, NX ...
, UY, SY, VY, muY, NY ...
)
UTX = UX';
gp = UTX * (muX - muY);
Gpq = UTX * UY;
Hnq = UY - UX * Gpq;
hn = (muX - muY) - UX * gp;
vnt ... |
f44021387c72413531c72d66292c0f35aa6eea1bc5b283d8942c978a8269b90c | MATLAB | 1,200 | 73 | function y = filter_iir_Q(x,a,b,N,Q)
% size_x = size(x,1);
% y = x;
% w_a = 0;
% w_b = 0;
% N = N;
% for i = 1:N
% for j = 1: i
% w_a = b(j) * x(i-(j-1))/Q + w_a;
% end
% if(i == 1)
% w_b = 0;
% else
% for j = 2: i
% w_b = a(j) * y(i-(j-1))/Q + w_b;
% end
% end
% y(i) = w_... |
112d9c8833eeb3ab0aba96c772772537e186f20bae68989b6fa17c0643f6657a | MATLAB | 1,203 | 47 | function [position] = findpos(array, value, comparator, outcome)
% FINDALL Returns the index of all items matching the given
% criteria.
%
% FINDALL(array, value, [comparator = @eq], [outcome = true])
narginchk(3, inf);
%----- Special case where a test function is provided
if isa(val... |
648a4dfcbbbd6a7dfa634af19044b603bfc73c8bef7978e0007a2268f840f8c4 | MATLAB | 1,204 | 43 | clear, clc;
outputFolder = fullfile(pwd,'prt');
%% PRT Parameters
PRTParameters = struct();
PRTParameters.FileVersion = 2;
PRTParameters.Resolution = 'Volumes';
PRTParameters.ExperimentName = 'MusicNF_Main';
PRTParameters.BackgroundColor = [0 0 0];
PRTParameters.TextColor = [255 255 255];
PRTParameters.TimeCourseCol... |
757cc6f0d3783b6925733a346101c022b633e2f8f934317211b2de259a612488 | MATLAB | 1,206 | 62 | function y = stretchcurve(x,k,n)
% OUTPICT = STRETCHCURVE(INPICT,K,{N})
% power-function based symmetric contrast adjustment tool
% this is used by imlnc(), etc
%
% INPICT is a unit-scale float array
% values must lie in the unit interval
% K is a scalar adjustment factor >=0
% N specifies the number of points to us... |
ebe9a214a2097f16599443bd64e0cde678436631d7099dc1b98509af99b4de06 | MATLAB | 1,212 | 43 | function runIntersect = mintersect(varargin)
%MINTERSECT Multiple set intersection.
% MINTERSECT(A,B,C,...) when A,B,C... are vectors returns the values
% common to all A,B,C... The result will be sorted. A,B,C... can be cell
% arrays of strings.
%
% MINTERSECT repeatedly evaluates INTERSECT on successive p... |
080fe64ad43584767566a8b2dcf345f3d4af8db9eb8af2541762cbf4504030f3 | MATLAB | 1,213 | 36 | function [PFM] = CBIG_compute_PFM_general(feature_file, y_pred_train_file)
% [PFM] = CBIG_compute_PFM_general(feature_file, y_pred_train_file)
%
% This function computes the predictive network features for general purpose
% by computing the covariance between the features and the predicted behavior
% (Haufe et al. 20... |
81b50f98a528a82248bb2f601234359c3abf6ad62a2527414b5366b89e6f7588 | MATLAB | 1,214 | 39 | function outpict = eoline(inpict,dim,rat,offset)
% EOLINE(INPICT, DIM, RATIO, {OFFSET})
% extracts every N/D lines from INPICT
% can be used for generating grids and regular line fields
%
% INPICT is a 2-D, 3-D or 4-D image array
% DIM specifies the dimension along which to scan
% 1 returns rows... |
e8749822be07353c0484fbdc634a91d2413561631f55d9958254253267313be9 | MATLAB | 1,216 | 42 | %%
% Function version of if ... else ... end statement. The syntax is
% conditional(test1, yes1, test2, yes2, ..., testN, yesN, allNo)
% If all tests fail then the return value is allNo.
%
function [answer] = conditional(varargin)
if nargin < 3 || mod(nargin, 2) ~= 1
error('An odd number of ar... |
e9d43e8a6e22ef955fd7d228852286c9a4c76e20536903a7030e9da4782f8124 | MATLAB | 1,216 | 22 | % Score for how much a given data point is an outlier, based on a range-scaled distance from the mode
function outlierness = outlierScore(score, bulkProb)
%% Find the mode and range of the score distribution, the latter as the location that has probability density that is a specified fraction of the modal densi... |
58ea47223074467053a7cdfbcbdc8216c669b1f0bea84251f4ea578683ef966d | MATLAB | 1,218 | 43 | function data = remove_artefacted_trials(cfg, data)
%remove artefacted trials,, defined by a value >0 in trialinfo.artefact
if isempty(data)
return
end
cfg.minbadtime = ft_getopt(cfg, 'minbadtime', []);
for ipart = 1:size(data,2)
fprintf('For part %d\n', ipart);
for markername = string(fieldnam... |
63f240d161987a3776cb02fbaf94c7a3e07c5b9f98e7b5ad3898061493688b00 | MATLAB | 1,219 | 43 | function isort = sort_spike_trains(S)
[U, Sv, ~] = svd(S); % U has "eigenvectors" ("principal components") of S, Sv the "eigenvalues"
[~, isort] = sort(U(:, 1), 'descend'); % sort by "first component"
if min(size(S, 1), size(S, 2)) < 100
iPC = 1 : min(size(S, 1), size(S, 2));
else
iPC = 1 : 100;
end
S = U(:,... |
b7253e86511526286ea1b8e52f824b5862d27376ad9d414ae61d3a213ff23416 | MATLAB | 1,222 | 47 | function [flt_data] = getcleanedbsdata(bsvals,fs,range);
% Usage. [DataOut numrej idjrej]= getcleanedbsdata(DataIn,fs, range)
% Performs, outlier detection, removal and bandpass filtering
%
% Input(s):
% - DataIn, are the bendsensor values
% - fs, is the sample rate as in 1000 samples per second
% - range... |
9c25001ee4ba0e0754a4e31efe91522dad488b8e69cd960e630c4c5665affd2f | MATLAB | 1,224 | 47 | function [trimmed] = trimarray(array, direction, varargin)
% TRIMARRAY Removes leading and/or training elements of the given array
% that are close to zero.
%
% The following syntaxes are supported:
% trimarray([...])
% trimarray([...], 'pre')
% trimarray([...], 'post')
% trimar... |
796b239aeaeefec6cf7b664778659129e5f7d80c12ee4a41662ef7476a6c22bb | MATLAB | 1,226 | 41 | function v=mysmooth(v,k,p)
%Fast convolution Gaussian smoothing in 3D
% k: Scalar smoothing kernel for eigencoil calculation in image domain
% specified in voxels.
% p: Padding for eigencoil calculation in image space [voxels]; for no
% padding supply [0,0,0]
% Assumes even padded dimensions
dims=size(v);
% ... |
ea69053fd466fcbef6e29bbf7bea99c0de9c756ef878fa3acf77db2f5333301c | MATLAB | 1,226 | 29 | %% Demo 2 - Paired t-test equivalent (random intercept per subject)
% When the same subjects are measured under both conditions, accounting for the
% pairing is both more correct and more powerful. Shown on the sleep dataset
% (R base), where both drugs were measured on the same 10 patients. A random
% intercept per pa... |
90439f24c5c6d5ef43c7653afeeedec83f334dd99bb551b5f98d74e22f0a8fe9 | MATLAB | 1,227 | 35 | function Y = tiff_reader(name,T)
% Y = tiff_reader(name,T)
%
% read tiff stack. Optional truncate to first T timesteps
%
% The inputs to this function are
% name: String pointing to the tif file to load
% T: Number of frames to extract
%
% The output to this function is
% Y: 3D array... |
3fda75f1d1650b8f46ca32828ac029acfc854249a4aeaec5a54e4b1527690892 | MATLAB | 1,228 | 46 | clc
clear all
data = readNPY('D:\YCB\YCB\PROJECT\EEG_signal_processing\python\raw_signal.npy');
%ese
a0 =[ 1. -0.93906251];
b0 =[ 0.96953125 -0.96953125];
x_filtered_band0 = filter(b0,a0, data);
x_filtered_band_abs = abs(x_filtered_band0);
a1 = [ 1. -0.99748988];
b1 = [0.00125506 0.00125506]... |
6b3b88baebe2df7da9d468640cc371c085b08a24e6fee20a32408a63c566b7cb | MATLAB | 1,228 | 72 | function M = par2affineMat(t,r,s,h)
% Creates a 3D affine transformation matrix from translation (t),
% rotation(r), scale(s) and shear(h) parameters.
%
% t: [t_x t_y t_z]
% r: [rotateX rotateY rotateZ] in degrees
% s: [scaleX scaleY scaleZ]
% h: [ShearXY, ShearXZ, ShearYX, ShearYZ, ShearZX, ShearZY]
%
if ~exi... |
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