sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
0bfc6586ada00846eb26ac1fc49eb717303739c9442a086533854d1cfd006a36 | MATLAB | 928 | 31 | %Demo of the dtfit and dtpredict functions. Creates a regression tree for
%the prostate data and sets the depth of the tree via cross validation.
load prostate;
[n,d] = size(Xtrain);
nfolds = 5;
[trainfolds, testfolds] = Kfold(n, nfolds,1);
depth = 0:8;
errors = zeros(numel(depth),n);
for f=1:nfolds
... |
3ac9de1a23ccb41d294f09251906d9efcef25b82b0b7a129845fd7f8c28cfaf6 | MATLAB | 928 | 41 | function [gx,dgdx,dgdp] = g_demo_extended(Xt,P,ut,in)
% canonical observation function for extended DCM.
% The output is the concatenation of:
% - classical HRF applied on neural states
% - multinomial prediction from hidden extended states
%- initializations
idX1 = 1:in.n5(end);
nreg=length(in.n5);
nresp=length(in.r... |
69541f9a9369b6341c5efda0328a9f03427eabfd7e45c6283a76a2343e78e522 | MATLAB | 928 | 35 | % %assembly1on = SCE.TRace(find(assemblies.PCl(1,:)));
% %raster(assembly1on) = 1;
% raster(find(SCE.RasterRace(8,:))) = 1;
event = zeros(1,length(traces.all));
%event(find(SCE.RasterRace(8,:))) = 1;
assembly_active = SCE.TRace(find(assemblies.PCl(1,:)));
int_active = find(SCE.RasterRace(8,:));
assembly_and_int = int... |
6fce15d699869aa453aa5d82881170014e597292e543ee5b71421b18408c2ef2 | MATLAB | 928 | 29 | function [u,dudx,dudp] = u_RBF(x,P,t,in)
% input function for free-form (RBF) deterministic DCM
% function [u,dudx,dudp] = u_RBF(x,P,t,in)
% IN:
% - x: [useless]
% - P: nW*nuX1 vector of RBF projection parameters, where nW is the
% number of RBFs and nu is the dimensionality of the output
% - t: time at which t... |
ca680c4fbc32bf36b9d6bda7d0e91af9dd1beda61f7a0315666bd60f9deae262 | MATLAB | 928 | 26 | function [contours] = getContoursLarvaeLouis(coeffs,nPoints)
% calculate contours using fourier coefficients
% author: marvin albert
% inputs:
% kinData.fourier contains coeffs over time (time,ncoeffs)
% nPoints: contour resolution
% output:
% contours over time (time,nPoints)
%coeffs = kinData.fo... |
e38eba6df0ec3c9354e5fc88c9fa3d3df6ee135360ab61db6b820067a42dd653 | MATLAB | 928 | 32 | function essential_distMinAnglePair_test
resetRands(3)
flagDegenerateCase=true;
k=2;
e3=[0;0;1];
Q1=rot_randn([],[],2);
if flagDegenerateCase
Q1b=[Q1(:,:,1);Q1(:,:,2)];
Q2b=essential_randomVerticalMotion(Q1b);
Q2=cat(3,Q2b(1:3,:),Q2b(4:6,:));
else
Q2=rot_randn([],[],2);
end
Rzt=@(t) rot(t... |
5467f99635eb7ee0abd7054a6bff3a3fa09f38780dd980d5de0e3e87873327e1 | MATLAB | 929 | 37 | %% Simple test of mixGaussMissingFitEM
% This file is from pmtk3.googlecode.com
setSeed(1);
nmix = 5;
d = 2;
model.mu = 10*randn(d, nmix);
Sigma = zeros(d, d, nmix);
for c=1:nmix
Sigma(:,:,c) = randpd(d) + 0.1*eye(d);
end
model.Sigma = Sigma;
model.mixweight = normalize(rand(1, nmix) + ones(1, nmix));
nsamples =... |
af319699f1403370d48768911c15c4c152d7092c056da49f6a0b81b87eb772f7 | MATLAB | 929 | 34 | % Setup base path
clear;
basefolder = fileparts(fileparts(mfilename('fullpath')));
codefolder = [basefolder,'/code'];
toolsfolder = [basefolder,'/tests/tools'];
addpath(genpath(codefolder));
addpath(genpath(toolsfolder));
% Load Data
data_path = [basefolder, '/tests/fixtures/chan-60_-1000to1499ms.txt'];
data = read... |
c3a1d1d889a1470e7c73c9b482f71499b03499aaf139bb2e41c5311cdcac2a7b | MATLAB | 929 | 44 | function [f, activeInd] = calculateFunctions(x,N)
% x(:,1) = psi values
% x(:,2) = thc values
% N = number of computational units
th = linspace(0,2*pi,N+1); th(end) = []; th = th';
f = zeros(size(x,1),3);
activeInd = zeros(size(x,1),N);
for i = 1:size(x,1)
p = mod(x(i,1),2*pi);
thc = x(i,2);
actInd... |
9b5bc01067bba6b752e7f14d6789e9ba01f0ffe30d1877a23345b7c06e8db50c | MATLAB | 930 | 27 | function [c_jk_norm, c_jk_unnorm, gm_FR] = xcorr_gm(pre, post, maxlag, minlag)
% input
% pre: num_trials x num_timepts logical array of presyn neuron spikes
% post: num_trials x num_timepts logical array of postsyn neuron spikes
% maxlag: number of trials in past to compute ccg, e.g. 25
% minlag: number of tria... |
b5041171e044752082f37367fb9c511a8145cf3744aeae3432122d2f1f5acbe2 | MATLAB | 930 | 22 | function h = polarimagesc(edges_r,edges_theta,center,v,varargin)
ninterptheta = 5;
nbinsr = length(edges_r)-1;
nbinstheta = length(edges_theta)-1;
xplot = nan(2*ninterptheta,nbinsr,nbinstheta);
yplot = nan(2*ninterptheta,nbinsr,nbinstheta);
for binr = 1:nbinsr,
for bintheta = 1:nbinstheta,
rplot = [repmat(edges... |
c5ce40df544427102b11351c8fa4934a7c7af0c0ec78f072e895b23e30d5d21b | MATLAB | 930 | 38 | %http://graphics.cs.cmu.edu/courses/15-463/2005_fall/www/Lectures/convolution.pdf
foo=load('clown');
clown = foo.X;
g = fspecial('gaussian',15,2);
%figure;imagesc(g)
figure; surfl(g); title('kernel');
gclown = conv2(clown,g,'same');
figure; imagesc(clown); axis off; title('clown');
printPmtkFigure('clown')
figure;... |
e4785600486170374d1094364f97b2f7a4a88059c48a1230a37cf4dd1fe768c8 | MATLAB | 930 | 25 | % FillMasks.m
% Sarah West
% 9/1/21
% Takes a vector of mask indices and a matrix of data and fills in the mask
% indices (with NaNs) that have been removed by masking.Returns the images
% in the 2D format (because using it in 2D is the only time you'd want to
% fill in the mask anyway).
function [data_matrix_filled]... |
3de6e5a0f8fae101f70bcd4ceaf4624df5776fd27d564473bcb4e1fb80cba9f1 | MATLAB | 931 | 35 | %% Reproduce fig 3.5 on p56 of "Elements of statistical learning"
%
%%
% This file is from pmtk3.googlecode.com
loadData('prostate');
[n, d] = size(X);
X = standardizeCols(X);
y = centerCols(y);
mse = zeros(2^8-1, 1);
ss = powerset(1:d);
ss(1) = [];
for i=1:numel(ss);
ndx = ss{i};
model = linregFit(X(:, n... |
7ad5248950bce9f27b06c7b5d689e57accd8857054542b6060a957d33f6aa645 | MATLAB | 931 | 40 | function S = multiLineString(varargin)
%% Parses the multiline comment just below where it is called
%
%
%
%% Example
%
%
% function foo
%
% S = multiLineString('test', 3);
% %{
% The text here will be converted to a string using sprintf like syntax
% so that this %s is converted to 'test' and this %d is converte... |
f1ce27a8b5d680084f1a2c6eab7a729c6bbf33229a3ce046f7c21551ddba8b63 | MATLAB | 931 | 16 | function [states,state_name]=get_awake_and_sleep_times
load('extracted_position.mat');
load('extracted_sleep_state.mat');
if sleep_state.sleep_indices.start(1) ~= 1 %if the first index is not 1, it means that session starts with rat awake
awake_indices= [1, sleep_state.sleep_indices.start(1)-1];
awake_indices= ... |
fd5a542072acd52af6ef1f7936ebb4b75a9c3ff9ae4ea5ea6e1359718a30e343 | MATLAB | 931 | 28 | function n2 = dist2_metropolis(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean distance between them. Both matrices must be of
% the same column dimension. If X has M rows and N columns, and C h... |
0e258a717e36dce3929aa53019d4b34b8b918e68f257eb6c20b078cb6a69ceaa | MATLAB | 932 | 23 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Extracts cosecutive MUAPs out of signal Y
% INPUTS:
% MUPulses = triggering positions (in samples) for rectangular window used in extraction of MUAPs (MU firring patterns);
% len = radius of rectangular window (window length = 2*le... |
2a7d9044e51805afc1b4936c2f8d96c6e289ac9e7b93830f5df955c67500b430 | MATLAB | 932 | 34 | % test function CircosDataOrganize.m
clc;clear;
workingDir = pwd;
load('CircosStruct.mat');
% load('RawDataCircos.mat');
% CircosStruct = RawDataCircos;
RawDataCircos = CircosStruct;
% LINK_MODE = 4;
WorkDir = pwd;
%%
[CircosNetworkPath, CircosRegionPath, CircosLabelPath, CircosLinkPath]=CircosDataOrganize(WorkDir,... |
39844b2bd8fe0a8f964d6362cc20c2b291b04902bb352c0dda13faacdc41be6d | MATLAB | 932 | 32 | function z = isequal(x,y)
%ISEQUAL for sptensors.
%
% ISEQUAL(A,B) compares the sparse tensors A and B for equality.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorTo... |
a42e7093ba57ea529cebcb1600697ad4a9264f5d238ebec55739796230b3edcc | MATLAB | 932 | 23 | % Edited by Jerry. 08/02/2022
function processedData = RemoveArtifacts_220802(rawData,polyOrder)
% *********************************************************************
% this function process a signal to remove polynomial artifacts.
% Inputs:
% (1) rawData: raw data with artifact
% (2) polyOrder... |
d8821274e3485bb52b2bee93c2dedb17b97612bb306913009f8bc69e0989cc0a | MATLAB | 932 | 27 | function ax1 = axisOverlay(ax0,ax1)
if exist('ax1','var')==0
ax1 = axes('Parent',ax0.Parent,'Visible','off','PickableParts','none','Color','none');
end
PROPS = {'XLim' 'YLim' 'YDir' 'Position' 'PlotBoxAspectRatio'};
for p = PROPS,p=p{1}; %#ok<FXSET>
if ~isequal(ax1.(p),ax0.(p))
% AL20160928. Protect against se... |
33bc4c898d897ad5061f3c8a397de51537c402100c4a41af624273e44ddba71a | MATLAB | 933 | 23 | function im_vals = grab_output_vals(stim_images,grid1,grid2,spot_rad)
if(isvector(grid1))
[grid1,grid2] = meshgrid(grid1,grid2);
grid1 = grid1';
grid2 = grid2';
end
im_vals = zeros(size(grid1,1),size(grid1,2),size(stim_images,3));
for i = 1:size(grid1,1)
for j = 1:size(grid1,2)
if... |
42276e8727878ff2d0a8525b38bfb53dfbf0cfb052a2c8fbdf0dea14da8684c4 | MATLAB | 933 | 27 | function h_resetAnalysisNumber3(handles, syncFlag, currentValue)
global h_img3;
if ~exist('syncFlag','var')||isempty(syncFlag)
syncFlag = 1;
end
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
h_img3.(currentStructName).state.analysisNumber.value = currentValue;
h... |
43556d565a6dfc6c75c2bcf572af7d524877343dc9ae912f87b67c77ddee3322 | MATLAB | 933 | 28 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
45b59ac7cad22eb00ff0ddc9787434510db580dc338c8d8c050f93e8bb8712f4 | MATLAB | 933 | 45 | function [om2,T2,dom2dom,dom2dT,dT2dom,dT2dT] = inverse_motion(om,T);
% This function computes the inverse motion corresponding to (om,T)
om2 = -om;
dom2dom = -eye(3);
dom2dT = zeros(3,3);
[R,dRdom] = rodrigues(om);
Rinv = R';
dRinvdR = zeros(9,9);
dRinvdR([1 4 7],[1 2 3]) = eye(3);
dRinvdR([2 5 8],[4 5 6]) = eye(... |
4c7687520a7e7db2c9e246d880ad143869016a8ef3c13f0e542dc8a984f2f1fc | MATLAB | 933 | 29 | function [model, loglikHist] = ldsFit(data, nlatent, varargin)
%% Fit a linear dynamical system model via EM
% We do not estimate parameters associated with an input/ control sequence.
% We fix Q=I and R=diagonal.
% See ldsFit.pdf for details of the algorithm.
%
%% Inputs
% data - a cell array of observation se... |
ad88a03644fe1854a7804fdc2311a22897c6f260f9906504c622c1958db953ec | MATLAB | 933 | 42 | function padded = insertClampedBels(nodeBels, visVars, hidVars, nstates, clamped)
%% Insert clamped belief nodes.
% Similar to insertUnitBels, but we do not slice the observed node down to
% a unit factor, we just clamp it to its observed value.
% This file is from pmtk3.googlecode.com
if isempty(visVars)
pad... |
f77037f5689581c00d8762b2825251ed4c83d7f85a3468103064b73a6008907e | MATLAB | 933 | 21 | % Geometric Distortions Correction - compute topup
data = dir('/DATAPOOL/ERRORMONITORING/SEM_mri_data/P*');
datain='/DATAPOOL/ERRORMONITORING/SEM_mri_data/datain.txt';
%%
for i = 1:size(data,1)
data_func = dir([data(i).folder, '/', data(i).name, '/mri/SEM_', data(i).name, '/nifti/func/run*']);
fpr... |
26d094ae41f74ae30903d45d51e22c74d157197e38f7aae92a01c62c0dc3f1ae | MATLAB | 934 | 36 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
srcf = 'data\prep\coreg_indiv\ct';
srcf2 = 'data\prep\coreg_indiv\datscan_normalized';
d = dir(fullfile(srcf,'w*.nii'));
data = [];
info = niftiinfo(fullfile(srcf,d(1).name));
for i = 1:length(d)
disp(d(i).name);
dn... |
90d9c191a2ea4ad8693ab1decb74d7228c7c11a9441fee713d87bc7b898aa11e | MATLAB | 934 | 41 | function imax = RFT_localmax(X)
% find local maxima on the field
% function imax = RFT_localmax(X)
% This function searches for local maxima on the field, whose values X are
% assumed to be sampled on a regular lattice.
% IN:
% - X: the Lx1 sampled RF
% OUT:
% - imax: set of locam maxima indices
L = length(X);
% ... |
2cded994f8bbab8c8c203166cb3865aaa31075b3452b42c57e3730b8314f98f3 | MATLAB | 935 | 24 | function [fcost,u_error,u_sol,e_sol,F_err] = Spring2D_MSE(k0,F,params,optims,condition)
if isequal(condition,'1')
k = Convert_k(k0,params);
elseif isequal(condition,'0')
k = k0;
end
D = params.C.'*diag(k)*params.C;
F([2*params.ind_fix-1,2*params.ind_fix]) = [];
D(:,... |
36d7e5b4ebfcf4c53a36bed461101d68df537fbe727fc51efdc8601f79ee3331 | MATLAB | 935 | 38 | if n_ima ~= 0,
if ~exist('active_images'),
active_images = ones(1,n_ima);
end;
n_act = length(active_images);
if n_act < n_ima,
active_images = [active_images ones(1,n_ima-n_act)];
else
if n_act > n_ima,
active_images = active_images(1:n_ima);
end;
... |
47c6864a162e33fa8170b0fbc50efa2ad8b7a9b3a03256ddcb302a1bc78bd3c8 | MATLAB | 935 | 44 | function WriteSPRHeaderInfo(fn,props)
% props is a structure:
% .dim : number of dimensions
% .mysize : array with information about the size of each dim
% .fov : field of view
% .interval : spacing between pixels and slices
% .orient : 'axis' ,...
% .datatype : 'WORD' , ...
% .endian : 'ieee-le' , ...
fn = remove_ext... |
6affb14aa5d7f62b85bd4dd278bc1b3a1ccab1fef30737dfdad15976a5968a97 | MATLAB | 935 | 32 | function [model, output] = mlpRegressFitSchmidt(X, y, nHidden, lambda, options)
% Multi-layer perceptron for regression; fit using minFunc
% nHidden can be a vector of integers if there are multiple laters
% We currenly assume the same L2 regularizer on all the parameters
% output is the return value from minFunc
% Th... |
07b0f2a7ceaf19dbcae05b56a1458a8f244ce5d8fb33735f18ee701df79a7e4f | MATLAB | 936 | 28 | function [hs,probs] = fernsClfApply( data, ferns, inds )
% Apply learned fern classifier.
%
% USAGE
% [hs,probs] = fernsClfApply( data, ferns, [inds] )
%
% INPUTS
% data - [NxF] N length F binary feature vectors
% ferns - learned fern classification model
% inds - [NxM] cached inds (from previous call to... |
1d7a05e9e6c93c3b936655ed7238caa8c226a84de1ceb97e882754c1ad2c8000 | MATLAB | 936 | 31 | function [edge_avg edgesizes] = GetEdgeSize(e, p, nnpe, average_only)
% Assuming e and p define a 3D shell surface, or tetrahedral mesh,
% this function returns the list of all edge lengths or their average
% By default this routine returns the average of edges only
edgesizes = [];
if nargin < 4 || isempty(average_only... |
3c24e3016a3db43845482ac7038584e7cd5cd420a66500351aa14d33de3c690d | MATLAB | 936 | 54 | function T = imtile(I, varargin)
%IMTILE Tiles a stack or set of images.
% Usage:
% T = imtile(stack)
% T = imtile(I1, I2, ...)
% T = imtile(stack, cols)
%
% Args:
% stack: 3-d, 4-d or cell array of images
% I1, I2, ...: 2-d images
% cols: number of columns to use
%
% Returns:
% T: single tiled image
%
%... |
9f33c4901e3735a0bdfe2ae7def9a42dae93fd9089671d6971c584375dac98f7 | MATLAB | 936 | 39 | function [ROI] = findCores(V, thr, filtMask, minSz)
% [ROI] = findCores(V, thr, filtMask, minSz)
if(nargin<4)
minSz = 15;
end
if(nargin<3)
filtMask = [3 3 3];
end
if(nargin<2)
thr = 2;
end
height = size(V,1);
width = size(V,2);
... |
d1486ba724e79106325e1d835718a50311df87a6c3eda4e7570d6b221561d334 | MATLAB | 936 | 34 | % Setup base path
clear;
basefolder = fileparts(fileparts(mfilename('fullpath')));
codefolder = [basefolder,'/code'];
toolsfolder = [basefolder,'/tests/tools'];
addpath(genpath(codefolder));
addpath(genpath(toolsfolder));
% Load Data
data_path = [basefolder, '/tests/fixtures/sub-1_rest1_schaefer400x7_ts.1D'];
data ... |
d18dfd1e70c6ee8ff2b8e6d0dd931ce2640c21470b8c8d6674421b965623f187 | MATLAB | 936 | 49 | function [output,e] = ALE_imp(imp,fs,delay,mu,niter)
%%% Adaptive Noise Canceler with NLMS algorithm
%% Inputs:
% imp : impedance sig
% delay : delay in samples , also corresponds to the filter order
% (default 4 sec)
% mu : convergance factor, default 0.01
% niter : number of iteration, default 2
%% Outputs :
% outpu... |
1eddad41ada59688c233a39c39f38b7de945e1bc254887df93d6384e19f04db1 | MATLAB | 937 | 20 | rgb = [179 102 179; 26 112 128]/255;
figure('color',[1 1 1])
h(1)=plot(timetoPlot,mean(trgt.accuraciesBase,1),'color',rgb(1,:),'Linewidth',4); hold on,
h(2)=plot(timetoPlot,mean(distr.accuraciesBase,1),'color',rgb(2,:),'Linewidth',4); hold on,
h(3)=plot(timetoPlot,mean(trgt.accuracies,1),'color',rgb(1,:),'Linewid... |
2ede2a41d6f8820b3c26bcf6b85bd7a35f00f93063a9532b6a8a96a0ecae8d6f | MATLAB | 937 | 55 | %% LMS Demo
%
%%
% This file is from pmtk3.googlecode.com
[X,y]=contoursSSEdemo(true); % X, y
d = 2;
w = [-0.5;2]; % randn(d,1);
i = 1;
eta = 0.1;
sf = 0.999;
%for i=1:20
% eta = eta * sf
%end
done = false;
maxIter = 25;
iter = 1;
n = size(X,1);
whist = [];
while ~done
xi = X(i,:)';
yhat(i) = w' * xi;
wold ... |
4aa81ad500a924afec3a533a8f8431d54c0aa6909efcbb71d8e3409f38fa5fd0 | MATLAB | 937 | 22 | timevector = -0.05:0.001:0.2;
rgb = [0.1 0.4 0.5; 0.7, 0.4, 0.7];
labels = [{'Singleton distr in RF'}; {'Non-singleton distr in RF'}];
clear h
f = figure('NumberTitle', 'off', 'color', [1, 1, 1], 'position', [360 50 600 400]); hold on;
h(1)=shadedErrorBar(timevector, mean(fr1), std(fr1)/sqrt(size(fr1,1)), {'C... |
52133376377f88109576742e6299b4c267cf77ecb0d0c2bf407d78b4888b16c7 | MATLAB | 937 | 20 | rgb = [179 102 179; 26 112 128]/255;
figure('color',[1 1 1])
h(1)=plot(timetoPlot,mean(trgt.accuraciesBase,1),'color',rgb(1,:),'Linewidth',4); hold on,
h(2)=plot(timetoPlot,mean(distr.accuraciesBase,1),'color',rgb(2,:),'Linewidth',4); hold on,
h(3)=plot(timetoPlot,mean(trgt.accuracies,1),'color',rgb(1,:),'Linewid... |
bc845888ff63318d11ef17052d3321b3c2bb55177204173c3308f9f82b3a6597 | MATLAB | 937 | 35 | function [text, ismodified] = convertLinksToHtml(text, name)
%% Convert any web links in the text to html by adding <a href> tags
% If any <a href ... tags already exist, nothing is done
% This file is from pmtk3.googlecode.com
if iscell(text)
[text, ismodified] = cellfunc(@(text)convertLinksToHtml(text, name), ... |
f6185165ab30676dee14274045b7ab7c0b63fbbf6c5cb42fc02a644e2ff51836 | MATLAB | 937 | 32 | %% Ridge regression for splines
%PMTKauthor John D'Erico
%PMTKurl http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=8553&objectType=fileY
% This file is from pmtk3.googlecode.com
setSeed(0);
n = 50;
x = sort(rand(n,1));
y = sin(pi*x) + 0.2*randn(size(x));
xtest = linspace(min(x), max(x), 100);... |
f9c9e0451fe2b241d902e8bc4bcbd99572f394d335374a4582dcefe72b2b6dc0 | MATLAB | 937 | 41 | %% pdf_Uniform: Uniform Probability Density Function
%
% Usage:
% x = pdf_Uniform(N, range, seed)
%
% Inputs:
% N scalar, number of samples
% range vector [min max] range of the random variable
% seed optional, seed for the random number generator
%
% Output:
% x ... |
3359e64dde28d4145ef79b98b187e2f3bb64f93b485e86f6431403554a2a14c6 | MATLAB | 938 | 40 | function A = convnfft_light(A,B)
% light version of
% http://nl.mathworks.com/matlabcentral/fileexchange/24504-fft-based-convolution
% behaviour: size 'same'
% save memory
A = single(A);
B = single(B);
% eliminate loop
m = size(A);
n = size(B);
% IFUN function will be used later to truncate the result
% M and N are ... |
3644c398cb2139aaf62ba57b8ae2747caef13bc5d5a2cc6b4bdb7fdb4e7111ae | MATLAB | 938 | 22 | classdef (Sealed) AdjMatrixComplGraph < adjmatrix.AdjMatrixFromNetX
methods
function this = AdjMatrixComplGraph(params, loadOnInit, delAfterLoad)
% creates a complete graph (mean-field network)
%
% params {AdjMatrixParams}: params of the adjacency matrix
% loa... |
9a1dfd981d7426b6821773188924148d135ea61a74810bf92eb73c83131d1501 | MATLAB | 938 | 31 | function mscmd_geom2adj(infile,outfile,opts)
% mscmd_geom2adj call mountainsort to convert geom CSV to adjacency matrix
%
% mscmd_geom2adj(infile,outfile,opts)
% Inputs:
% infile - filename of input geometry x,y for electrodes in CSV
% outfile - filename for output adjacency matrix in MDA
% opts - struct containing... |
c96771d41c7d71cae708a0ea561b6efa9f5fb306667b1d8407257dc9854a8c80 | MATLAB | 938 | 40 | function [t p edges] = readGTS(fn)
% Reads a surface mesh from a file formatted in GNU Triangulated Surface mesh
fid = OpenFile(fn,'rt');
junk = fgetl(fid);
blah = sscanf(junk,'%d %d %d');
nnodes = blah(1);
nedges = blah(2);
nfaces = blah(3);
data = textscan(fid,'%f %f %f%*[^\n]',nnodes);
if length(data{1}) ~= nnode... |
e4282f43cd12876ace1728ea8df801c64f3042f8c31008ac67f6c9ce99cb9669 | MATLAB | 938 | 34 | function result = dosubstitution(r, dictionary)
import yaml.*;
if ~exist('dictionary','var')
dictionary = {};
end;
result = recurse(r, 0, dictionary);
end
function result = recurse(data, level, dictionary)
import yaml.*;
if iscell(data) && ~ismymatrix(data)
result = iter_cell(data, level, dictio... |
2d8023e020b0799a11334934ba2e91d5e728563926435dd7614fbeab1781fea4 | MATLAB | 939 | 53 | function [xL,xR] = click_stereo(NUMBER_OF_POINTS,IL,IR,R,T,fc_right,cc_right,kc_right,alpha_c_right,fc_left,cc_left,kc_left,alpha_c_left);
figure(1);
image(IL);
figure(2);
image(IR);
[ny,nx] = size(IL);
xL = [];
xR = [];
for kk = 1:NUMBER_OF_POINTS,
figure(1);
hold on;
x = ginput(1);
plot(x(1... |
45a8e5757b6e12eca578ac7eeb2649228db7368908d92bf95d5d390b351c68f6 | MATLAB | 939 | 42 | function newcombPostPred()
setSeed(1);
% Data from http://www.stat.columbia.edu/~gelman/book/data/light.asc
% This file is from pmtk3.googlecode.com
D = [28 26 33 24 34 -44 27 16 40 -2 29 22 24 21 25 30 23 29 31 19 ...
24 20 36 32 36 28 25 21 28 29 37 25 28 26 30 32 36 26 30 22 ...
36 23 27 27 28 27 31 27 ... |
496b748fc0847054132b32cd0bcdcd09c477ff0683f18d63d2968afd3f02b7ad | MATLAB | 939 | 27 | load('IM_13nets_246_newcolor_MNI.mat'); % load parcellation based on Seitzman 2020 300 ROI
load('MNI_coord_meshes_32k.mat');
Anat.CtxL=MNIl;Anat.CtxR=MNIr;
clear MNIl MNIr
Anat.alpha = 0.8;
IM.name = '';
Params.radius = 4;
figure('Position',[100,100,500,300]);
View_ROI_Modules(IM,Anat,IM.ROIxyz,Params);
% set(g... |
5be6b6c07f96237577131b6242cefa39128db375a4a1854b74aaeeb02519b68e | MATLAB | 939 | 20 | function afxLnmSum(input,output,thresh)
% if exist(output,'file')
% fprintf('afxLnmSum: %s already exists.\n', output)
% else
[pth,name,ext] = fileparts(output);
if ~exist(pth,'dir'), mkdir(pth); end
matlabbatch{1}.spm.util.imcalc.input = input;
matlabbatch{1... |
d3556d36c0d45987e1d7da302b9ba7e5e27d85fbfe0f12fb1f51a0016f752682 | MATLAB | 939 | 31 | function [probOn, postPred] = binaryFApredictMissing(model, y)
% Compute probOn(n,t) = p(yt=1|y(n,:)),
% where y(n,t) in {0,1,NaN} where NaN represents missing data
% We also comptue postPred(n,t,:) = [p(0) p(1)]
% to be compatible with other multiclass code
% This file is from pmtk3.googlecode.com
y = canonizeLabel... |
d9ce02388c3b73ec7397835b14bdff87cb3a38cbfc74f38214536e3b92527d89 | MATLAB | 939 | 31 |
function H = CBIG_MFMem_rfMRI_Num2Color(Wvector,colormap_name)
%-------------------------------------------------------------------------
% H = CBIG_MFMem_rfMRI_Num2Color(Wvector,colormap_name)
%
% This function transfers vector value into a color map
%
% Input:
% - Wvector: parameter value vector {Parame... |
179f47e70405f75c1854f15feccb8c4f6814f79443cc10d3a52c48b7ee63fcdd | MATLAB | 940 | 37 | function data = afxCsvWrite(fname,data)
% Export Data to CSV-Files
% mycsvread(filename,raw)
%
% max.wawrzyniak@medizin.uniklinikum-leipzig.de
delimiter = char(9); % Tab
nl = '\r\n'; % newline
% open csv-file
fid = fopen(fname,'w');
% write line by line... |
4e1c26a89045bb8d41926af472a20ed03f3ba25a54e47652a94c4a5de43cbb93 | MATLAB | 940 | 41 | function [cData,cLabel,LabelList]=list2cell(Data,Label)
% Turn a list with labels into a cell array, grouped by label
% Note : cell2list does the reverse.
% Handle case of numerical list
% if ~iscell(Data)
if ndims(Data)==2
[Labels,ia,ib]=unique(Label);
for i=1:length(Labels)
cData{i... |
4e54b9c0476397853b24b9c35839abdcc653201368d188f5e29e617207500318 | MATLAB | 940 | 29 |
% proxy function
function [Kpxy,nbr] = pxyfun_lap_neumann(x,slf,nbr,proxy,l,ctr,area)
% PXYFUN(X,SLF,NBR,L,CTR) computes interactions between the points
% X(:,SLF) and the set of proxy points by scaling the proxy sphere to
% appropriately contain a box at level L centered at CTR and then
pxy = bsxfun(@plus,proxy*l,c... |
532f74a63e1cce44578c01b52e16058e2251a93e95e20694d947d7f72a328060 | MATLAB | 940 | 32 | function e = end(X,k,n)
%END Last index of indexing expression for ktensor.
%
% The expression X(end,:,:) will call END(X,1,3) to determine
% the value of the first index.
%
% See also KTENSOR, KTENSOR/SUBSREF, END.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbo... |
6c0ebe14879812fe0d5d8f017d1cf5c6d8c26aba5db4dc9db42b919151dfe52c | MATLAB | 940 | 38 | function [X, mu, mode] = meanValueImputation(Xmiss, type)
% Compute mean (or mode for discrete) of each column
% and use it to fill in NaN entries in Xmiss (size N*D)
% type(j) = 'c' for continuous or 'd' for discrete
%
% Example
% Xmiss = [1 2 3 1 NaN 4 NaN]'
% meanValueImputation(Xmiss, 'd') % [1 2 3 1 1 4 1]
% meanV... |
6fd8991b8233dfe94ade1bfccaed2d2a39a258454895a0672d341800dc293e03 | MATLAB | 940 | 46 | %% sfreqs
%
% Return vector of frequencies
%
% <matlab:open('sfreqs.m') code>
%
%% Syntax
%
% freqs = sfreqs(fres,fs)
%
%% Arguments
%
% See also <mvgchelp.html#4 Common variable names and data structures>.
%
% _input_
%
% fres frequency resolution
% fs sample rate (default: 2*pi)
%
% _output_... |
753559f7b5b7038b27260e3fdfa410984ae76f8a3408b46f604b71beaaf58863 | MATLAB | 940 | 35 | function aps=findaps(data,thresh)
% function aps=findaps2(data,varargin);
%
%finds action potentials in a current clamp (Vm) trace
% if nargin==2
% mode=varargin{1};
% else
% mode='points';
% end
% thresh = -.035; %in mV
aps=[];
data=reshape(data,[1 numel(data)]);
% if mean(data)>-50 | mean(data)<-85;
% ... |
b54df889c5f29204f722d86533a7cbb297e92357fe5443e117984212e7fd887e | MATLAB | 940 | 34 | function [dx,flag] = VBA_checkGN(S,dx0)
% Levenberg-Marquardt regularization on Gauss-Newton update step
% [dx] = VBA_checkGN(S,dx0)
% This function checks the Gauss-Newton update required for the
% optimization of the variational energies of parameters. This
% regularization should not happen in normal cases (nonlinea... |
b79c41e20dac4e3d4c6f8db19a6aa15b39b9c41eac1e80f82d819c07240e9381 | MATLAB | 940 | 59 |
function jumpToNextUncertainSpike(self)
if self.verbosity > 9
disp(mfilename)
end
if isempty(self.channel_to_work_with)
self.say('No channel chosen');
beep
return
else
channel = self.channel_to_work_with;
end
uncertain_spikes = self.handles.ax.uncertain_spikes(channel).XData;
if isempty(uncertain_spikes)
se... |
c8209f43b1ae725e60b488838c1d81ae771291bbc9f179e7cb676bfe3de5ca0c | MATLAB | 940 | 56 | function cls = correction(carta)
% busca cluster en cartas de valor p 0 y 1
% 9.Agosto.2009
% P.Billeke
%
if size(carta,3)==1
cls = bwlabel(carta,4)
return
end
disp(['making clusters ...'])
yc = size(carta,1);
cn = 0;
for y = 1:yc
if ~any(carta(y,:)),continue,end
for x = find(carta(y,:))
if carta(y,x) ... |
ff9005bd981ac9d5f2a2f2ce744d7c3a576dfd3930f877ce91ceab96a16b165e | MATLAB | 940 | 45 | %% Demo of an RBF gram matrix
%
%%
% This file is from pmtk3.googlecode.com
setSeed(2);
mu = [0 0; 0 1; 1 1; 1 0];
sigma = 0.05;
N = 9;
K = 4;
pi = normalize(ones(1,3));
X = zeros(N,2);
%z = sampleDiscrete(pi,1,N);
z = [1 1 1 2 2 2 3 3 3];
for c=1:3
ndx = find(z==c);
Nc = length(ndx);
X(ndx,:) = gaussSampl... |
6a210357ae840aee3aed0d8142a23c17a69a2e9876d4e3107944f4d77a3ebef4 | MATLAB | 941 | 36 | %% Vesicles predetection filter based on template matching for GUI vesseg
% Author: Antonio Martinez-Sanchez
% I: input tomogram
% M: input membrane mask tomogram
% C: input citosol mask tomogram
% rm: minimum radius
% rM: maximum radius
% s: membrane thickness
% wa: angle for missing wedge
% wr: rotational angle for m... |
b049b08432b9e952045e6fd47fc2e76630e19d6f675f677652cab7086f06df55 | MATLAB | 941 | 43 | function Z = loadAudio(paths)
% Syntax: Z = loadAudio(paths);
% Parse inputs
p = numel(paths);
% Load audio
audio = cell(1,p);
for i = 1:p
path = paths{i};
[~, ~, ext] = fileparts(path);
if strcmpi(ext,'.mat')
% Load from .mat file
data = load(path);
fields = fieldnames(data);
... |
b907b2a3a25f3169f8ca517c9773b06522c6e4cace65df501cce0db88bbeaf42 | MATLAB | 941 | 37 | function Tsmall = tabularFactorSlice(Tbig, visVars, visValues)
% Slice a tabular factor
% Return Tsmall(hnodes) = Tbig(visNodes=visValues, hnodes=:)
% visVars are global names, which are looked up in the domain
% This file is from pmtk3.googlecode.com
%%
if isempty(visVars),
Tsmall = Tbig;
return;
end
domain... |
063be1c02ce8dd80a3fa1359c67c6db1c92b0aeb7a96947a94133ec122208eb2 | MATLAB | 942 | 38 | %% Classify some MNIST digits using a binary RBM
%PMTKauthor Andrej Karpathy
%PMTKmodified Kevin Murphy
%PMTKreallySlow
% This file is from pmtk3.googlecode.com
setSeed(0);
Ntrain = 1000; Ntest = 100; keepSparse = false;
[Xtrain, ytrain, Xtest, ytest] = setupMnist('binary', true, 'ntrain',...
Ntrain,'ntest', Nte... |
577279eb96dbf03573d394a64cdc463a8fc92116e3a0a7432db3a09d0a4442de | MATLAB | 942 | 28 | function [w]=linregFitGroupLasso(X, y, groups, lambda, method)
% Fits the grouped lasso model
% This file is from pmtk3.googlecode.com
if nargin < 5, method = 'SPG'; end
[N,D] = size(X); %#ok
winit = zeros(D,1);
if isscalar(lambda), lambda=lambda*ones(nunique(groups),1); end
lambda = colvec(lambda); % required by L... |
c746f0e425d8425611f9347aadf9ce6a8a4217a85caa1c3cab82edea8b141783 | MATLAB | 942 | 35 | %% Set directories
basedir = '/path/to/directory/interpret_ml_neuroimaging/data';
savedir = '/path/to/directory/interpret_ml_neuroimaging/data';
gray_matter_mask = which('gray_matter_mask.img');
%% Load data
heat_imgs = filenames(fullfile(basedir, 'data', 'derivatives', 'trial_images', 'sub*', 'heat_*.nii'));
reje... |
1a725888b07070fe6a3a1212e8781cf2aef4138f9bc25a9c9a5376d4d5a4de93 | MATLAB | 943 | 12 | function PlotBox(BoundingBox,LineStyle,LineColor,LineWidth,Text,TextFontSize,TextFontColor)
plot([BoundingBox(1),BoundingBox(1)+BoundingBox(3)],[BoundingBox(2),BoundingBox(2)],LineStyle,'color',LineColor,'LineWidth',LineWidth);
plot([BoundingBox(1),BoundingBox(1)+BoundingBox(3)],[BoundingBox(2)+BoundingBox(4),Bound... |
4341006f30672eaea0293182d39e801dcec6dba625fab31842d19f3a3157c589 | MATLAB | 943 | 37 | function [img,nz,QC] = read_image(path,chind,nchannels,filt)
info = imfinfo(path);
try
C = strsplit(info(1).ImageDescription,char(10));
ch_str = strsplit(C{3},"=");
z_str = strsplit(C{4},"=");
nc = str2double(ch_str{2});
nz = str2double(z_str{2});
catch
nc = ... |
569ebc7986c65fbcbf351e9013a2f46c929a9d57c0bafb42525b981648f6bab8 | MATLAB | 943 | 34 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
function [cnt, QRSevents, fwts, ecg_idx] = prepro_prepare4ecgCleaning(cnt_qrs, esg_chans)
% esg_chans have to include ECG channel!
%% select only ESG channels and ECG channel
[~, idx] = ismember({cnt_qrs.chanlocs.labels}, esg_chans);
channels = find(idx);
cnt = pop_sel... |
7760614da6906740d23d3173c1febe62bdaf6d1e6f6ae909e7cf5c01c8847d0b | MATLAB | 943 | 34 | function [alignedSpikeCount] = sortByTrial (spikeCount,eventTimes,PSTHwindow,offset)
%% >>> OPERATION >>>
% Sort 2D spike matrix into 3D spike matrix based on event index (e.g.
% locomotion onset). Trials are arranged in 3rd dimension.
% Marco Bocchio, 22/11/19
%%
% number of trials (i.e. events or stimulations)
t... |
90a578a426d195739c6ffbc561799adfcb15a3e37fc1530ceedecb3b0001fe65 | MATLAB | 943 | 1 | % TSSETTRIAL Set the currently active trial
% TSSETTRIAL(TRIALNAME) sets TRIALNAME as the active trial that will be
% used for computing statistics. If you want no active trial (so that,
% for example, TSapplystat does not search for fields at the Trial level,
% then TSsettrial('none'). This command has been r... |
224761071bba12acceae542ef660bfdb00f2f80f57ce3e1875bfd57a35b5d936 | MATLAB | 944 | 29 | function pauseTight(delayInterval)
%PAUSETIGHT A command that completely blocks Matlab execution access for specified delay. Unlike the built-in pause() command, callbacks are also prevented from firing.
%
%% NOTES
% The pauseTight() function is primarily intended as a fully blocking delay, in contrast to the bui... |
64f0a9d934f1fd9b992cd4771f70920a132447fb3bdd87f68b5ab9e961db25b7 | MATLAB | 945 | 39 | %% pdf_LogNormal: LogNormal Probability Density Function
%
% Usage:
% x = pdf_LogNormal(N, m, s)
%
% Inputs:
% N scalar, number of samples
% m mean of the lognormal distribution
% s standard deviation of the lognormal distribution
%
% Output:
% x ... |
728ddf0269064cdd7443875edb12a1371a241a723b2666447352a9b321b31e63 | MATLAB | 945 | 34 | function model = markovFit(X, nstates, pseudoCountsPi, pseudoCountsA)
% Fit a markov model via MLE/MAP.
% X(i, :) is the ith case and X(i, j) is in 1:nstates.
%
% Returns a struct with fields pi, A.
%
% pi(j) = p(S(1) = j)
% A(i, j) = p(S(t) = j | S(t-1) = i)
%
% where S(t) denotes the state at time step t.
%
% This f... |
620377c185bf1c85d734512ffc75388f5e51e07621e31a5a11f1b03a9ac58276 | MATLAB | 946 | 46 | %% Kpca demo
setSeed(0);
%{
% Make data on a 2d circle (from stprtool/data/gencircledata.m)
num_data = 500;
Center = [0;0];
R = 10;
phi = 2*pi*rand(1,num_data);
gnd_X = repmat(Center,1,num_data)+R*[cos(phi);sin(phi)];
gnd_y = ones(1,num_data);
% add noise
dev = 1;
X = gnd_X + randn(2,num_data)*dev;
X = X'; % rows are... |
98226bcb2838a0640d6d716bf24ef322eaaeb22ee56e80e4cba7453553f5c34f | MATLAB | 946 | 24 | function [pX,gX,pY,gY,X,Y] = get_MCMC_predictiveDensity(f_fname,g_fname,u,n_t,options,dim,N,np,lx,ly)
% legacy code
s = warning ('on');
warning ('*** The function `get_MCMC_predictiveDensity` is now deprecated. Please use `VBA_MCMC_predictiveDensity` instead (same syntax).')
warning (s);
% fallback
switch nargin
... |
f50e4c5f3e4699b2c142dd64676c31a831d9a2efef655b7b089e340d192f2f77 | MATLAB | 946 | 25 | function [adja_pruned, prunedMat, prunedBins] = prune_graph_neighbored( ...
memberMat, binNeighbors)
% Input:
% - memberMat: matrix of nr bins by nr datapoints. value is 1 if datapoint
% in bin
% - binNeighbors: matrix of nr bins by nr bins. value is 1 if bin i
% is within neighborhood of bin j
%% Find bins that ... |
07e4c8c10a79a6d09d169d1ef98f6bd194f82463b84c295db6c012ba42bb2989 | MATLAB | 947 | 24 | function candoit = canGetPartialEuclideanGradient(problem)
% Checks whether the partial Euclidean gradient can be computed for a problem.
%
% function candoit = canGetPartialEuclideanGradient(problem)
%
% Returns true if the partial Euclidean gradient of the cost function can
% be computed given the problem desc... |
164be58291977939e9b55026c9191c451699c996491ce8cd4e19ef419966312a | MATLAB | 948 | 33 | % MF_MV Multiply using multifrontal factorization.
%
% Typical complexity for N = SIZE(A,1) = SIZE(A,2): O(N) in 1D and
% O(N^(2*(1 - 1/D))) in D dimensions.
%
% Y = MF_MV(F,X) produces the matrix Y by applying the factored matrix F to
% the matrix X.
%
% Y = MF_MV(F,X,TRANS) computes Y = F*X if TRANS =... |
2bc23715cf4c4a0040dd774a89d6f15fb011ba717a682668c4c588280c01f1aa | MATLAB | 948 | 31 | function show_maps(D,cc)
% SHOW_MAPS(D,CC)
% Show cross-sectional views around maximum-valued voxel for given CC-th
% volume in D.
switch length(size(D))
case 4
% Permute 1st and 2nd dimensions
D = permute(D,[2 1 3 4]);
% Pick only selected component
t = squeeze(D(:,:,:,cc));
... |
62472eec529bd8f370e44d4298684a5689f4125d09dae6b2f63962d574d55c2e | MATLAB | 948 | 44 | function g = gsmooth(y, sig)
% gsmooth - smooth vector or matrix by filtering with a Gaussian
%
% g = gsmooth(x, sig);
%
% Inputs:
% y [MxN] - matrix or vector (if matrix, operates along columns only)
% sig [1x1] - stdev of smoothing Gaussian
%
% Output:
% g [MxN] - smoothed signal
%
% Note: normalizes fi... |
7adc5e65c1d4e3e41235529eb23b0666a5f4a88eced0be6f35e2fe92af062ac6 | MATLAB | 948 | 24 | function trigInds = FindTriggers(channelData, threshold)
% trigInds = FindTriggers(channelData, threshold)
% finds indices of where the channelData changes by more than threshold
% (positive and negative change)
% and returns those indices
% Inputs: channelData is a vector of the voltages from the EEG channel
% ... |
d0d6c239ead1047b77b19fdc41efe71dc34f2788e25412391b794bcdd5a6fb5d | MATLAB | 948 | 32 | function gaussian = make2DGaussianCentered(w, h, x0, y0, sigma, gaussAmp)
%
% function gaussian = make2DGaussian(w, h, x0, y0, sigma, gaussAmp)
% make sure width and height are even
if mod(w, 2)
w = w - 1 ;
fprintf('make2DGaussianCentered: adjusting width, w, to be even ...\n')
widthAdjusted = 1;
else
... |
1d5af2990d8fd00b670232fbacbd3599d4bf300aa5e5520b0a5766506313081e | MATLAB | 949 | 27 | function theta = packRNN(net, n_Wru_v, n_Wrr_n, m_Wzr_n, n_x0_c, n_bx_1, m_bz_1)
% This function is appropriate for an FFN with a single hidden layer. The
% variable names are w.r.t. to the actual weights, but any derivative
% products during learning can be packed / unpacked in this way. Note that
% net isn't modified... |
203b07cd3cba65dcae59e54893a01e89dec1e320adc72f86f99f4ae770f9f8f2 | MATLAB | 949 | 34 | function h = height_tetrahedron(a,b,c,d)
% HEIGHT_TETRAHEDRON Calcultes tetrahedron heights.
%
% SYNTAX:
% [H] = HEIGHT_TETRAHEDRON(A,B,C,D)
% HEIGHT_TETRAHEDRON(A,B,C,D)
%
% [H] = HEIGHT_TETRAHEDRON(A,B,C,D)
% - A, B, C and D - are m by 3 matrices of (x,y,z) cartesian coordinates
% of vertic... |
5dea95766407009f9c83071b1729253447699fd017f45c9e578c22406099c0e1 | MATLAB | 949 | 54 | function PlotAxisAtOrigin(x,y);
%PlotAxisAtOrigin Plot 2D axes through the origin
% This is a 2D version of Plot3AxisAtOrigin written by Michael Robbins
% File exchange ID: 3245.
%
% Have hun!
%
% Example:
% x = -2*pi:pi/10:2*pi;
% y = sin(x);
% PlotAxisAtOrigin(x,y)
%
% PLOT
if nargin == 2
plot(x... |
803c38c0b7c58eae36932b96a1b783fb27ce0002ddc316c79c8abac31e755fa4 | MATLAB | 949 | 30 | function [Xsamp, Xcond]= SimConditions(var_uniq,N)
% Create array of all possible conditions
P = length(var_uniq);
levP = zeros(P,1);
for p = 1:P
levP(p) = numel(var_uniq{p}); %number of levels per covariate
end
switch P
case 1
Xcond = ndgrid(var_uniq{:});
case 2
[x1, x2] = ndgrid(var_uniq... |
a0ecb26642e5f9dd47f862973168b97e62c5a9b1909cbfa3607d64a61fe7da85 | MATLAB | 949 | 46 | %SAVEINR Write an INRIMAGE format file
%
% SAVEINR(filename, im)
%
% Saves the specified image array in a INRIA image format file.
%
% SEE ALSO: loadinr
%
% Copyright (c) Peter Corke, 1999 Machine Vision Toolbox for Matlab
% Peter Corke 1996
function saveinr(fname, im)
fid = fopen(fname, 'w');
[r,c] = size(im');
... |
77bb1b124e2c1c6ab99cdd81a02580bf2eef74ca2d52283c87f315bd598d79b4 | MATLAB | 950 | 40 | function is_same = compare_tif_with_hdf5_files(tifDir, hdf5Dir)
tifFiles = dir(fullfile(tifDir,'*.tif'));
hdf5Files = dir(fullfile(hdf5Dir,'*.h5'));
if length(tifFiles) == 0
disp('no tif file.');
is_same = false;
return;
end
if length(tifFiles) ~= length(hdf5Files)
... |
9095d406ab2d53aa4de4a18cb9d0deea36a4b0a4cf47983783f41989f0612a77 | MATLAB | 950 | 56 | function LAN = eeg2lan(cfg)
% <*LAN)<]
% v.0.0.2
%
% cfg.filename
% cfg.where
% cfg.delbad
if nargin == 0
[file, path] = uigetfile('*.EEG;*.eeg', 'Choose a EEG Neuroscan file -- cnt2lan()');
delbad = 0;
elseif ischar(cfg)
%%$ compatibility with old versions
file = cfg;
path = '';
del... |
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