sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
75751f76363ab915de3844862fe04d03af67a58836af8e54f0c051d18d7d9cc6 | MATLAB | 385 | 18 | % function checking if a specific file is a script%
function bool = isscript(fileName);
fid = fopen(fileName, 'r');
cont = true;
while cont && ~feof(fid)
l = strtok(fgetl(fid));
if ~isempty(l) && l(1) ~= '%'
if strcmpi(l, 'function')
bool = false; return;
else
bool... |
5df604ad3de0a2824014843935a6091ab7d8edbbf0f48531f387e07717245d5e | MATLAB | 386 | 20 | function hdi = calc_CI(samples, q)
% function hdi = calc_CI(samples, q)
%
% Calculates symmetric 95% confidence interval for MCMC samples
%
% INPUTS
%
% samples - vector of MCMC samples
% q - bounds on symmetric CI, default [0.025 0.975]
%
% Steve Fleming 2015 stephen.fleming@ucl.ac.uk
if ~exist('q','var') || isempty(... |
3dbd8071ffe15e6d960a634b04b007a93e9fdf6ef9ed512b9d0a6b360cf0a6d7 | MATLAB | 387 | 18 | function psgOut = eeglab2danalyzer(psgIn)
% Converts an EEGLAB struct to danalyzer format.
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
psgOut.data = psgIn.data;
psgOut.hdr.srate = psgIn.srate;
psgOut.hdr.samples = psgIn.pnts;
if isfield(psgIn.etc, 'T0')
psgOut.hdr.recStart = psgIn.etc.T0;
else
... |
86ffac85aa1ea7dd641aebf17183e7f2c2dfebc2076467a543aeb333a2588194 | MATLAB | 387 | 8 | function idx = findROI(allROIs, mouse, session, idxFOV)
% findROI - Find row index matching mouse, session, and idxFOV.
% idx = findROI(allROIs, mouse, session, idxFOV)
idx = find(strcmp({allROIs.mouse}, mouse) & strcmp({allROIs.session}, session) & [allROIs.idxFOV] == idxFOV, 1);
if isempty(idx)
erro... |
8df8fa1c75dbe59ef8aec0682da1c7e924583b8fbaf77fa4895bc20327acfb9f | MATLAB | 387 | 15 | function unset( ~, ~, ~ )
%uiextras.unset Clear a default property value from a parent object
%
% This functionality has been removed.
% Copyright 2009-2014 The MathWorks, Inc.
% $Revision: 979 $ $Date: 2014-09-28 14:26:12 -0400 (Sun, 28 Sep 2014) $
% Check inputs
narginchk( 2, 2 )
% Warn
warning( 'uiextras:Depr... |
9075b2b9d83b664cca5946126b7280259a4feddaa9b0556347c3e529c3640779 | MATLAB | 387 | 21 | function LaBGAScore_move_repos_matlabpath(repoA, repoB)
% moves repoA below repoB in matlab path and saves new path - saves you
% tons of clicking in pathtool ;)
p = strsplit(path, pathsep);
idxA = find(contains(p, repoA));
block = p(idxA);
p(idxA) = [];
idxB = find(contains(p, repoB), 1, 'last');
p = [p(1:idxB) ... |
c9dea89ce435ffbb1321bc4193b3daac2c9c80dc67f8ebe42f1dd2349bd0829d | MATLAB | 387 | 14 | function string = mygettext(tree, varargin)
uid = root(tree);
if ~isempty(varargin)
uid = varargin{1};
end
string = '';
mychildren = children(tree, uid);
for ch_uid = mychildren
switch get(tree, ch_uid, 'type')
case {'chardata', 'cdata'}
string = [stri... |
e2738a2bf13916d3f777be9c1aa7ed245414fc1b94c0763b4663f41013662330 | MATLAB | 387 | 9 | function [Energy D S L] = GCO_ComputeEnergy(Handle)
% GCO_ComputeEnergy Run alpha-expansion algorithm.
% E = GCO_ComputeEnergy(Handle) returns energy of current labeling.
% [E D S L] = GCO_ComputeEnergy(Handle) also provides a breakdown of
% the energy into Data, Smooth, and Label costs.
GCO_LoadLib(... |
254ffadafdd8de95297b38c7c4622d58a71d008b4455cf574d2cf7d59f1d7b8e | MATLAB | 388 | 20 | function z=smooth_lf(x,y,varargin)
% must (unlike R smooth.lf() function) give x and y.
% also R's direct=T is automatic.
%
xev = x;
if (k>1)
if (strcmp(varargin{1},'xev'))
xev = varargin{2};
varargin(1:2) = [];
end;
end;
fit = locfit(x,y,varargin{:},'ev',xev,'module','simple');
z = lfknots(fit);
fv = inv... |
8d6d349af954f262b42d9b18be89f7a91d8dca276e8addb632f7aafcc5edcb08 | MATLAB | 388 | 20 | function y=mysmooth(x,p1,p2,p3)
% Usage ... y=mysmooth(x,p1,p2,p3)
%
% Wrapper for Matlab's smooth function
if prod(size(x))==length(x), x=x(:); end;
y=x;
for mm=1:size(x,2);
if nargin==2,
y(:,mm)=smooth(x(:,mm),p1);
elseif nargin==3,
y(:,mm)=smooth(x(:,mm),p1,p2);
elseif nargin==4,
y(:,mm)=smooth(x... |
9fad9771187167b3a5e13a5a615318759fd77027c4e737b0cb3d875ba37a1fdd | MATLAB | 388 | 14 | % is_sccn() - returns 1 if computer is located at SCCN (Swartz Center
% for computational Neuroscience) and 0 otherwise
function bool = is_sccn;
bool = 0;
domnane = ' ';
try
eval([ 'if isunix, [tmp domname] = unix(''hostname -d'');' ...
'end;' ...
'bool = strcmpi... |
c1ea375f8d7e5292fb1af07cc06ebd8ae39b16f934049ad9f2f5866b7d730090 | MATLAB | 388 | 14 | function [n,freqs] = plx_adchan_freqs(filename)
import CMBHOME.PLX2Mat.*
% plx_adchan_freq(filename): Read the per-channel frequencies for analog channels from a .plx file
%
% [n,freqs] = plx_adchan_freq(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
% OUTPUT:
% freqs - array of frequ... |
578dfffea10cc636b9f436f5680b2e71d8c256bafa5928ebe8b0b365af99ed6b | MATLAB | 389 | 10 | function Q = makeQForWeightedCorr(UniqueNumBins, numPlaces)
%function Q = makeQForWeightedCorr(UniqueNumBins, numPlaces)
a1 = repmat((1:max(UniqueNumBins))', [1, numPlaces]);
b1 = repmat(1:numPlaces, [max(UniqueNumBins), 1]);
Q = {};
for i = 1:length(UniqueNumBins)
Q{UniqueNumBins(i)} = [reshape(a1(1:UniqueNu... |
d8dc66b1e232f40c367e9291008dbccbb2f4899709298787f4873cbf992991e0 | MATLAB | 389 | 14 | function s = char(tree)
% XMLTREE/CHAR Converter function from XMLTree to a description string
% FORMAT s = char(tree)
%
% tree - XMLTree object
% s - a description string of an XMLTree
%
% Return a string describing the XMLTree:
% 'XMLTree object (x nodes) [filename]'
%
% See also XMLTREE
s = sprin... |
20b99c82aac28cb6d7f2dfaca9de2b4a578b78b497e7d615fe9884bb8b8790d5 | MATLAB | 391 | 13 | function actual = calculate_CL_turn(turns)
% get turns; turns are recorded without gain but with zero thresholding
% get camera direction
% camera direction at start = 0
% actual cam dir = cam dir previous - turn value for the previous step
gain = 40;
a = [0];
for i = 1:length(turns... |
26850ffb5ec81a2d20903ce388149e454516ba1c905ca84a5315da64da054d8c | MATLAB | 391 | 10 | % get turns; turns are recorded without gain but with zero thresholding
% get camera direction
% camera direction at start = 0
% actual cam dir = cam dir previous - turn value for the previous step
gain = 40;
actualcamdir = [0];
for i = 1:length(turns)
actualcamdir = [actualcamdir,actualcamdir(i)-(turns(i)*g... |
707581482ebf5efe5da504a35710ecf87bd1358a08fa9536d487775810250b50 | MATLAB | 392 | 11 | function TimeTest = getBinaryClassifiersTestTime(blockTagsAC,features,folderpath,nameTag)
classes = ['OC';'OH';'OW';'CH';'CW';'HW'];
TimeTest = zeros(size(features,3),1);
for cla = 1:6
class1 = classes(cla,1);
class2 = classes(cla,2);
[perfMat,TimeTest0] = binaryClassTestTime(class1,class2,blockTagsAC,... |
934bd0ace8857266cdcfe32998013de0173a80da70da72451377cb7ec0716256 | MATLAB | 392 | 8 | function [va vm] = sumPFNvecs(PFN_bumps,PFN_amps)
% assumes PFN_bumps is already 45-deg shifted. because that's what i've
% done in FBmodel7.m.
adj = PFN_amps(:,1).*cos(PFN_bumps(:,1)) + PFN_amps(:,2).*cos(PFN_bumps(:,2));
opp = PFN_amps(:,1).*sin(PFN_bumps(:,1)) + PFN_amps(:,2).*sin(PFN_bumps(:,2))... |
bb126808265c86ecc88f74cd633d5cf44b14e5cfcd07ea0db0f243452c28bf40 | MATLAB | 392 | 21 | clear;
clc;
close all;
addpath(genpath('../functions/'));
CBIG_plotSetup;
K_0 = 2;
K = 10;
k_bestRun = cell(K-K_0+1, 2);
idx = 1;
for k = K_0:K
r = CBIG_find_maxLikeRun(['../../lda/outputs/188blAD' sprintf('/k%i/', k)]);
k_bestRun{idx, 1} = k;
k_bestRun{idx, 2} = ['../../lda/outputs/188blAD/' sprintf('k... |
d9609780ec6c3643f942ce35843edc6092221fe93bbdc09106039ef8bda96efe | MATLAB | 392 | 15 | function displayProgress(msg,iter,total)
% display message for updating progress
% setup for first iteration
if(iter == 1)
fprintf(1,[msg ' ']); % an extra space takes care of the first backspace
end
% update through the iterations
fprintf(1,[repmat('\b',1,numel(num2str(iter-1))) '%d'],iter);
% a new ... |
26199e137a04729243d1df31940d31880f4a0adaeb82866f96813feca841d1f9 | MATLAB | 393 | 12 | % Local Regression and Likelihood, Figure 5.2.
% Author: Catherine Loader
%
% Density Estimation, for the Old Faithful Geyser Data.
% identity link.
load geyser;
fit = locfit(geyser,'alpha',[0.1 0.8],'link','ident','ll',1,'ur',6);
figure('Name','fig5_2: Density estimation for Old Faithful geyser data' );
lfpl... |
5c01d40d63fc17dce3ef0887d511180506f4a633df3c240e2b5714da060afcf7 | MATLAB | 393 | 18 | function volume=CheckVolumeFaceMesh(V,F)
volume=0;
for i=1:size(F,1)
a=V(F(i,1),:); b=V(F(i,2),:); c=V(F(i,3),:);
k=cross(b,c);
v = (a(1)*k(1)+a(2)*k(2)+a(3)*k(3))/6;
volume=volume+v;
end
volume=-(volume);
function c=cross(a,b)
a=a(:); b=b(:);
c = [a(2,:).*b(3,:)-a(3,:).*b(2,:)
... |
ce369039e386110abda4279f8d85419a8122af8f17b2145bcf1c54aa1d23699f | MATLAB | 393 | 25 | function idx = matIndex(sz, dir)
idx = false(sz);
if strcmpi(dir, 'right')
for i = 1:sz
idx(i, i + 1:end) = true;
end
elseif strcmpi(dir, 'left')
for i = 1:sz
idx(i, 1:i - 1) = true;
end
elseif strcmpi(dir, 'diagonal')
for i = 1:sz
... |
525c85391f82e94bcadb1010eec108d4b71f8db739f95cf09bfc5ff926501427 | MATLAB | 394 | 12 | % Local Regression and Likelihood, Figure 1.1.
%
% A linear regression and plot for Spencer's mortality
% data. Unlike the book, I use locfit for this!
%
% Setting 'ev','none' means that locfit computes only
% the parametric fit. In this case, 'deg',1; i.e. linear.
load spencer;
fit = locfit(age,mortality,'deg',1,'ev'... |
4e7aa7d76e668bea5db277091dca3fce0f3f29932ae615543295ee9b0cbf7e72 | MATLAB | 395 | 13 | clear all; close all;clc;dbstop if error;
CMBHPATH = 'D:\Dropbox\scripts\packages\CMBHOME_stable\';
PIPATH = 'D:\Dropbox\scripts\general_scripts\pass_index';
load('D:\Dropbox\scripts\jrc_scripts\Projects\CaitlinData\CMBobject_clamps-69 (1).mat')
% root = root.FixPos;
% root.spatial_scale=1;
% root.spatial_scale = 150... |
3d7b8648011ba88edc2e7ba1b36e0f36eef5983253903784b645eb6dba248982 | MATLAB | 396 | 14 | function res = length(this);
tmp = struct(this);
%if any(cellfun(@length, { tmp.EEG }) > 1)
% error('EEG structure in object with more than 1 element')
%end;
try
res = length(tmp.EEG);
catch
res = length(tmp);
return;
end;
if res > 1, error('EEG st... |
c540857cfb3bd0e6c454a358d96c6ccc7d63b3881b1abda877dda1899d2e2ec9 | MATLAB | 396 | 9 | function [Unique_basis_cell] = extract_unique_bases_multiple_k(X, cluster_num_list, labels_cell, rank)
Unique_basis_cell = {length(cluster_num_list)};
for idx = 1: length(cluster_num_list)
labels = labels_cell{idx};
[uniqueBases, sharedBasis,clusterBases,ev_cumsum] = extractUniqueBases(X, label... |
90f645fbb06594ec15189edc38820248a237ee92c2549efe57b88707ce1ba8f0 | MATLAB | 397 | 15 | function ea_elvis_surfice(~,~,handles,native)
uipatdir=getappdata(handles.leadfigure,'uipatdir');
ea_exportpat([],[],'PLY',handles)
for pt=1:length(uipatdir)
thispt=uipatdir{pt};
script=['BEGIN;',...
' RESETDEFAULTS;',...
' MESHLOAD(''',[thispt,filesep,'export',filesep,'ply',filesep,'combined_sce... |
a01d1368c1c70b7821694ef2f539e5df1f3894da1b81a69cf426ad29cc62d3d6 | MATLAB | 397 | 14 | function Yf = split_frame(Y,patches)
df = diff(patches(1,:));
ndim = size(patches,2)/2;
Yf = zeros([df(1:2:end)+1,size(patches,1)],'like',Y);
otherdims = repmat({':'},1,ndims(Yf)-1+(size(patches,1)==1));
for i = 1:size(patches,1)
indeces = cell(1,ndim);
for j = 1:ndim
indeces{j} = patches(i,... |
e1c855fe5523233348788dd45cc547c11d6ac9ad5829b1accd944034d765a271 | MATLAB | 398 | 16 | function t = mystruct(obj)
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: mystruct.m 1143 2008-02-07 19:33:33Z spm $
if numel(obj)~=1,
error('Too many elements to convert');
end;
fn = fieldnames(obj);
for i=1:length(f... |
ee1aaf5eb5ab97244d06099723dfa1ba78ff20c08eb83615dfe856f00e3b6e15 | MATLAB | 398 | 15 | function v = value( x )
global cvx___
v = cvxaff( x );
switch class( v ),
case 'cvx',
v = value( v, cvx___.y );
case 'cell',
for k = 1 : numel( v ),
v{k} = value( v{k}, cvx___.y );
end
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright... |
472a476bf9a0f150ada018d5295828db30e29b66795a4f2df7abc1fafa465cc7 | MATLAB | 399 | 16 | function prob = cher( A, b, Sigma );
% Computes Chernoff upper bounds on probability
%
% Computes a bound on the probability that a Gaussian random vector
% N(0,Sigma) satisfies A x <= b, by solving a QP
%
[ m, n ] = size( A );
cvx_begin quiet
variable u( m )
minimize( b' * u + 0.5 * sum_square( chol( Sigma )... |
7c345f5db7dc6f854b045cadbc4f58390e5f479d4cea5fb9eb5deb39bb92e6e9 | MATLAB | 399 | 17 | function [results] = VerifyError(expr, results)
wasError = 0;
try
eval(expr);
catch ex
wasError=1;
end
if wasError == 0
disp ([expr ' <-- expected error, but was no error'])
count = 0;
if(isfield(results, 'failedTests'))
count = size(results.failedTests, 1);
end
resul... |
a80ed8bb7a2ce90c200c1cd08666b1c03d6e53719da831bfaf9c5956aba1d44a | MATLAB | 399 | 15 | % Local Regression and Likelihood, Figure 2.4.
%
% Bivariate Local Regression.
load ethanol;
alp = [0.25 0.3 0.49 0.59];
lab = {'Local Constant' 'Local Linear' 'Local Quadratic' 'Local Cubic'};
f=['a','b','c','d'];
for (i=1:4)
figure('Name', sprintf( 'figure2_4%c: Bivariate local regression', f(i) ) );
fit = lo... |
993fc5a5deac82c5939ae21bade41c18443aa9792233386db41219adc5115a35 | MATLAB | 400 | 15 | function vidstack = makeCatStack(files)
vidstack = [];
for file = 1:length(files)
vidpath = [files(file).folder '\' files(file).name];
vreader = VideoReader(vidpath);
disp(vreader.NumFrames)
vreader.CurrentTime=0;
while hasFrame(vreader)
% j = imbinarize(readFrame(vreader),'adapt... |
cb5bba793b98032eff4be2db0162a694b0ebd1c0b4ab3563e771af640fb7afc9 | MATLAB | 400 | 15 | function y = sum_log( x, dim )
%SUM_LOG Internal CVX version.
cvx_expert_check( 'sum_log', x );
narginchk(1,2);
if nargin == 2,
y = size( x, dim ) * log( geo_mean( x, dim ) );
else
y = length( x ) * log( geo_mean( x ) );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyrig... |
d1f67635e016b923298149ee8eec7234f1f92bfa35d5b03596f05d96551fe53c | MATLAB | 400 | 16 | %% Converts offline sorter variables into a structure for easy MATLAB manipulation
%
% Kian Torab
% ktorab@blackrockmicro.com
% Blackrock Microsystems
for i = 1:96
ChannelName = ['Chan', num2str(i, '%03.0f')];
if exist(ChannelName, 'var')
VariableName = eval(ChannelName);
Channel... |
03b8e97cb9363e5406bd8d648183d0257c591de632bd098945a82455a465abbe | MATLAB | 401 | 18 | function [ MPC ] = subfun_computeMPC( inputData1 )
% inputData1 should be ROIxlayer
cvm = corr(inputData1', 'Type', 'Pearson');
pcm = corr(inputData1',mean(inputData1,1)','Type', 'Pearson');
MPC = zeros(size(cvm));
for i = 1:size(MPC,1)
for j = 1:size(MPC,2)
MPC(i,j) = (cvm(i,j) - pcm(i)*pcm(j)) / sqrt((1... |
219eb6d27b31d91c078ebcc2edb92d4be8b2097814e846021da1046e67743629 | MATLAB | 401 | 8 | function v = cvx_value( x )
warning( 'CVX:IllegalUse', ...
'CVX error: illegal use of a cvx problem object has been detected.\n Please do not copy or manipulate the value of ''cvx_problem'' in any way.', 1 ); %#ok
v = [];
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyrigh... |
7f724afe54230869d389c76da21c9cbcdde03a9d9bf2bfa70deb9f966efff112 | MATLAB | 401 | 14 | % Local Regression and Likelihood, Figure 5.3.
% Author: Catherine Loader
%
% Density Estimation using poisson regression.
% Stamp thickness data.
load stamp;
n = sum(count);
w = 0.001*n*ones(76,1);
fit = locfit(thick,count,'weights',w,'family','poisson','alpha',[0 0.004]);
figure('Name','fig5_3: Poisson regression de... |
ed07669df2716ff6aff9ef44de8059572a57f32920c14d6834ae4298572d81fc | MATLAB | 401 | 24 | function formatCCFMap(metricField, ARfactor, fontSize, leftOffset, bottomOffset)
% Formatting for maps plotted over Allen CCF
if nargin < 2
ARfactor = 1;
end
if nargin < 3
fontSize = 6;
end
if nargin < 4
leftOffset = 0.5;
end
if nargin < 5
bottomOffset = 0.5;
end
% Set sizes
formatCCF(ARfactor, font... |
094e3d1e843c2a026fb42185ee0e4fa2de7e46dffa12d02cba0569d8d849af39 | MATLAB | 402 | 15 | function varargout = get( ~, ~ ) %#ok<STOUT>
%uiextras.get Retrieve a default property value from a parent object
%
% This functionality has been removed.
% Copyright 2009-2014 The MathWorks, Inc.
% $Revision: 979 $ $Date: 2014-09-28 14:26:12 -0400 (Sun, 28 Sep 2014) $
% Check inputs
narginchk( 2, 2 )
% Error
er... |
1a292efa21e7c93ea236f29ff5b2c1366184fbf669f581ffbb532e041d2ac0a6 | MATLAB | 402 | 16 | function [ rsq ] = goodnessFit( pts, mdl )
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
% Observed points
y = pts(:,2);
x = pts(:,1);
% Estimated linear model
Yhat = x*mdl(1) + mdl(2);
ss = sumsqr(y - nanmean(y)); % Sum of squares w.r.t. the original mean
ssr = sumsqr(Yhat - y); ... |
cf605bd054a170f6a3a2feadc158f82854706ead5d98107fab3e44c144e4834d | MATLAB | 402 | 8 | % CVX: Internal functions and scripts.
% This directory contains code that is meant for internal use by
% the CVX system itself. Documentation of the functions in this
% directory is more sparse and not intended for end users.
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyr... |
d02abf6d9c3149b5fad0824df46b9e31808bd17af6b588fade7f4a58e5ba84be | MATLAB | 402 | 14 | function convLike = CBIG_compute_convLike(b, subtype_compo, gender, avg_stats)
% convLike = CBIG_compute_convLike(b, subtype_compo, gender, avg_stats)
% 1 for male, 2 for female
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
avg_stats(2) = gender;
X = [1 subtype_c... |
0d3f7145d78ab96b0b275d3a797da55890e4558f51c30cc5897a23becfaf76c4 | MATLAB | 403 | 13 | % Local Regression and Likelihood, Figure 11.4.
% Author: Catherine Loader
%
% Local Adaptive Smooth - Dopler example.
%
% NEED: Improve plot - curve is hard to see.
x = (0:2047)'/2047;
m = 20*sqrt(x.*(1-x)) .* sin(2*pi*1.05 ./ (x+0.05));
y = m + normrnd(0,1,2048,1);
fit = locfit(x,y,'pen',4,'acri','cp','maxk',500);
f... |
a6f9fbc7a49ad033dcdd70125e7b69ee9e69236f4b4e23c5728f039e2faff8b7 | MATLAB | 403 | 15 | function cvx_optval = sum_square_pos( x, varargin ) %#ok
%SUM_SQUARE_POS Internal cvx version.
narginchk(1,2);
x2 = [];
cvx_begin
variable x2( size( x ) );
minimize( sum_square( x2, varargin{:} ) );
x2 >= x; %#ok
cvx_end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copy... |
ee73c8aa3f52d103c45546424b0722413797ae94841d47a4ca58d070bb9df3b8 | MATLAB | 403 | 17 | function en = end(a,k,n)
% Overloaded end function for file_array objects.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: end.m 1143 2008-02-07 19:33:33Z spm $
dim = size(a);
if k>length(dim)
en = 1;
else
if n<leng... |
8e47eba79c8b23d205692f846f82714118f14f42502929e028d4764ce9d3c6bb | MATLAB | 404 | 7 | function inter=CheckInsideTetrahedron(p1,p2,p3,p4,rx,ry,rz,mi,ma)
if((rx<mi(1))||(rx>ma(1))||(ry<mi(2))||(ry>ma(2))||(rz<mi(3))||(rz>ma(3))), inter=false; return, end
Lambda=BarycentricCoordinatesTetrahedron(p1,p2,p3,p4,rx,ry,rz);
% Check if inside tetrahedron
inter=(Lambda(1)>=0)&&(Lambda(1)<=1)&&(Lambda(2)>=0... |
f7c8d5d52b8948d4a67f54ff9841ff3c6987a480d8fce5889c9fa560997d1e26 | MATLAB | 404 | 24 | %% Plot
close all;
sourceArea = 'AC';
targetArea = 'PFC';
topoArea = 'AC';
section_granger_subplotImpl;
close all;
sourceArea = 'AC';
targetArea = 'PFC';
topoArea = 'PFC';
section_granger_subplotImpl;
close all;
sourceArea = 'PFC';
targetArea = 'AC';
topoArea = 'AC';
section_granger_subplotImpl;
close all;
sou... |
48d9c1cdbdf6a2bbe7a32e856ba32c4205964c5d2ea4431f136197d6f4fcc82a | MATLAB | 405 | 15 | % Local Regression and Likelihood, Figure 7.5.
%
% Author: Catherine Loader
load border;
fit0 = locfit(day,runs,'cens',no,'family','geom','nn',0.7);
fit1 = locfit(day,runs,'weights',ones(265,1)*0.8,'cens',no,'family','geom','nn',0.7);
xev = lfmarg(fit);
xev = xev{1};
y0 = predict(fit0,xev);
y1 = predict(fit1,xev);
fig... |
637392e47ce6d0ed5cd52dedb0d075405770fe0848a77df09fb46e219ec3c1ac | MATLAB | 405 | 19 | function display(tree)
% XMLTREE/DISPLAY Command window display of an XMLTree
% FORMAT display(tree)
%
% tree - XMLTree object
%
% This method is called when the semicolon is not used to terminate a
% statement which returns an XMLTree.
%
% See also XMLTREE
disp(' ');
disp([inputname(1),' = ']);
disp(' ');
for i=1:... |
dae7a0e4b4f44a11769e6be1e2cf57e9b17eaebe88f81f6855766746febbdbe4 | MATLAB | 405 | 15 | clear;
clc;
close all;
addpath(genpath('../functions/'));
SUBINFO_FILE = '../../subInfo/rid_sex_mDoB_yDoB_mExam_yExam_ageExam_dx_icv_bl.csv';
GMICV_FILE = '../../vbm_810bl/gmVolAndICV/rid_gmVol_icv_bl.csv';
%------- Which quantity? - Q
% 1 for MMSE, 2 for MEM, 3 for EF
Q = 3;
[betas, stats] = CBIG_fitGLM(SUBINFO_FI... |
28241b2645fab9a3b313f906d8697e46a0779ab607ea1f597efcf91cf9cdbac9 | MATLAB | 406 | 5 | function hdtrajectory=ea_genhdtrajectory(trajectory,options)
hdtrajectory(:,1)=interp1q([1:length(trajectory)]',trajectory(:,1),[1:1/options.zresolution:length(trajectory)]');
hdtrajectory(:,2)=interp1q([1:length(trajectory)]',trajectory(:,2),[1:1/options.zresolution:length(trajectory)]');
hdtrajectory(:,3)=interp1q([... |
9d9e368460dee7d51b47f8ad1948d5ea661659e51db376b42eabd4c81e493cc4 | MATLAB | 406 | 9 | function r = pearson(a, b)
%PEARSON Pearson correlation, base MATLAB only.
% corr() lives in the Statistics and Machine Learning Toolbox. The harness
% must not depend on a toolbox to check a base-MATLAB library, so this
% two-line replacement is used throughout the suite instead.
a = double(a(:)) - mean(double(a... |
75ee0844f1107dc22fb42dd5069b05096515caf39e4215cd818614895ecc721f | MATLAB | 407 | 14 | function [n,filters] = plx_chan_filters(filename)
import CMBHOME.PLX2Mat.*
% plx_chan_filters(filename): Read channel filter settings for each spike channel from a .plx file
%
% [n,filters] = plx_chan_filters(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
% OUTPUT:
% filter - array of... |
1f10eb3c294a33d3ae3e9bb0aacefaf31f7feee0c9f6ac2061cd4b05f64a3ea5 | MATLAB | 408 | 20 | function [g,a]=ar1nv(x)
% AR1NV - Estimate the parameters for an AR(1) model
% Syntax: [g,a]=ar1nv(x);
%
% Input: x - a time series.
%
% Output: g - estimate of the lag-one autocorrelation.
% a - estimate of the noise variance.
x=x(:);
N=length(x);
m=mean(x);
x=x-m;
% Lag zero and one covarian... |
2654b6eac92580d4dd8b276853f32107045b77c0bfdf09a0e49de0c3735f48bc | MATLAB | 408 | 11 | function a = gt( x, y )
if isa(y,'cvxin')||~isa(x,'cvxin')||~x.active,
error( 'CVX error: improper use of the <in> pseudo-operator.' );
end
b = newcnstr( evalin( 'caller', 'cvx_problem', '[]' ), x.value, y, '==' );
if nargout, a = b; end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full... |
52846c96f0d682fb62379a3729e17d9cdf2221acf1e509c75b58f8405d393956 | MATLAB | 408 | 15 | function [ se m ] = se_mean( raw )
%SE_MEAN Summary of this function goes here
% Detailed explanation goes here
m = nanmean(raw);
sd = nanstd(raw);
%n = length(find(isnan(raw)==0));
if size(raw,1)==1
n = length(find(isnan(raw)==0));
else
n = sum(~isnan(raw)); % changed 16.12.14
%n = length(find(isnan(raw... |
c7b17860a0c6744268157c66a27d167be61068634325dd479d2ab547df10c4e9 | MATLAB | 408 | 5 | signatures_to_plot = {'Content' 'Amused' 'Surprised' 'Fearful' 'Angry' 'Sad' 'Neutral'}; % NPS, VPS, SIIPS, etc., etc.
myscaling = 'raw'; % 'raw' or 'scaled'
mymetric = 'dotproduct'; ... |
8e7aa175b8d86ac711f55f9ecd9697d40377ac467606f0698e12aa162008a3f8 | MATLAB | 409 | 17 | %constants for sorting. see spikesortingParameters.txt for explanations.
CLUSTERID_NOISE_CLUSTER=99999999;
%extraction method
METHOD_EXTRACTION_POWER=1;
METHOD_EXTRACTION_AMPP=2;
METHOD_EXTRACTION_AMPN=3;
METHOD_EXTRACTION_AMPA=4;
METHOD_EXTRACTION_WDM=5;
%alignment/peak finding method
METHOD_PEAKFIND_... |
aa7ab04ed7c3af2c2b4d25277a935378a459c9d046d4d074f9c71a4eb50d16a9 | MATLAB | 409 | 13 | function val = try_load_relative_snr(glmdir)
val = NaN;
try
sfile = dir(fullfile(glmdir,'*_Visual_Checkerboard_GLM_Relative_Beta_SNR.mat'));
if ~isempty(sfile)
[~,ix] = sort([sfile.datenum],'descend');
S = load(fullfile(sfile(ix(1)).folder, sfile(ix(1)).name), 'relative_beta_SNR');
if isfield(S,'... |
cadb5949d232593716d459022526546091b018de7055b8c6f33b9f70f67bf96d | MATLAB | 409 | 8 | function inter=CheckInsideFace(VN0,VN1,VN2,rx,ry,mi,ma,ignore_corners)
if((rx<mi(1))||(rx>ma(1))||(ry<mi(2))||(ry>ma(2))), inter=false; return, end
Lambda=BarycentricCoordinatesTriangle(VN0,VN1,VN2,rx,ry);
% Check if inside face
if(ignore_corners), mv=1e-8; vv=1-1e-8; else mv=0; vv=1; end
inter=(Lambda(1)>=mv)... |
14ce2e58dd01059a14a29353763fc31510aad9fe609bfa0582c3e47a6fc85cbc | MATLAB | 410 | 16 | function subList = generatesublist(folderLocation)
% Generate a list of subjects to run through as a batch. Only use when data
% is stored in a way that each subject's data is stored in their own
% folder.
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
subList = dir(folderLocation);
isItAFolder = [subList(:).isdir... |
e9d6166e7bc0b03701204134465a07828191f983a45a66b5e4a41960db68d6fb | MATLAB | 410 | 20 | function root = alpha2counting(root)
%Takes in an CMBHOME object and reorders the root.pathlfp to be in counting
%order (eg: 'DATE_BASE.EEG1', 'DATE_BASE.EEG2')
%Bill 2012.05.23
for i = 1:length(root.path_lfp)
eegs.names(i) = root.path_lfp{i}(3);
eegs.lengths(i)= length(eegs.names{i});
end
[trash ind] =sort... |
fa4db14a4717405f26ec952cc0d072392ef4d005f25050be8915e6d625aee303 | MATLAB | 410 | 16 | % Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
% reorient all images in the raw folder
spm_tool_dir = [spm_dir '/toolbox/OldNorm/']
addpath(spm_dir)
addpath(spm_tool_dir)
% apply reorient matrix to T1 images
x = load(reorient_matrix);
f = strtrim(image_pa... |
bd6a37e4bf4dc60a8aa7a9577f6212f6bd754d8a835f941926df2f50859ab317 | MATLAB | 411 | 13 | function areaMods = getAreaModulation(allROIs, areas, modField)
% Gets the binary vector of modulated or not for each desired area
% Allocate and loop over areas
areaMods = cell(length(areas),1);
for i = 1:length(areas)
area = areas{i};
% Get cells in this area
thisArea = arrayfun(@(x) strcmp(x.area, area)... |
e0ff8e66d9bf38ab6be88545dc3bfd7a9c5e87b9df3670576552499373b063c7 | MATLAB | 411 | 15 | function signal_filtered = ThetaFilter(signal, Fs)
% Takes 'signal' and bandpasses it to theta frequencies (6 to 10 Hz)
%
% Arguments
%
% signal - arbitrary signal to be filtered
% Fs - sample frequency
%
% signal_filtered = ThetaFilter(signal, Fs)
Wn_theta = [6/(Fs/2) 10/(Fs/2)]; % normalized by the nyquist frequency... |
988f8119bb864d61c4bb15d10ea25d8e4e3e562a102938737f3f1520ed6c6608 | MATLAB | 412 | 12 | function ea_menu_addtransfer(handles,prefs)
[leadsuiteapps,leadsuiteids,accs]=ea_getsuiteapps(prefs);
[~,todel]=ismember(handles.callingfunction,leadsuiteids);
leadsuiteids(todel)=[];
leadsuiteapps(todel)=[];
accs(todel)=[];
f = uimenu('Label','Open in...');
for app=1:length(leadsuiteids)
uimenu(f,'Label',leadsui... |
bd057f06bf976df18710de8d290934f7b95381366ef546559074784b0a475ef5 | MATLAB | 412 | 12 | function ea_updatemodpopups(mdl,sf,handles)
set(handles.fiberspopup,'String',mdl(sf==1));
set(handles.fmripopup,'String',mdl(sf==2));
if isempty(get(handles.fiberspopup,'String'))
set(handles.fiberspopup,'String','No structural connectome found.');
end
if isempty(get(handles.fmripopup,'String'))
set(handles.fm... |
ec8a4f8168e236f3e3e917909a1ca4dc9d07996ff29df83150ea92426f4f9685 | MATLAB | 412 | 25 | function S = merge_structs(A, B)
% MERGE_STRUCTS Merge two structures.
%
% S = merge_structs(A, B) makes the structure S have all the fields from A
% and B. Conflicts are resolved by using the value in A.
%
%
% merge_structs.m
% David Gleich
%
% Revision 1.00
% 19 Octoboer 2005
%
S = A;
fn = fieldnames(B);
for ii ... |
a790aebd46de1bb51bafe865fbcfe0467c25cb6a21e5681bbdf92a8c1caf10f1 | MATLAB | 414 | 13 | function [C,u]=PointToClosestPointOnLine(L1,L2,P)
% C,u = PointToClosestPointOnLine(L1,L2,P)
%
% inputs,
% L1,L2 : Points (x,y) describing a line
% P : A certain (x,y) point
%
% outputs,
% C : Point on the line which is closest to point P
% u : Percentage [0..1] of position on line from L1 to L2
%
... |
e645cc33cfa99fc73eeca1831f7217973b989c1c851c96016c8e2d0e19cad509 | MATLAB | 414 | 5 | canlab_help_set_up_pain_prediction_walkthrough;
[mask_obj, networknames, imagenames] = load_image_set('bucknerlab');
mycolors={[120 18 134]/255 [70 130 180]/255 [0 118 14]/255 [196 58 250]/255 [220 248 164]/255 [230 148 34]/255 [205 62 78]/255 };
[fitresult, gof] = evaluate_spatial_scale(image_obj,mask_obj,'cv_la... |
214febf0edfe491cc08d7082cf0f09ff73c1d72b5313a3db4b5faf87c4caaea8 | MATLAB | 415 | 14 | % Local Regression and Likelihood, Figure 5.3.
% Author: Catherine Loader
%
% Density Estimation using poisson regression.
% Stamp thickness data.
load stamp;
n = sum(count);
w = 0.001*n*ones(76,1);
fit = locfit(thick,count,'weights',w,'family','poisson','alpha',[0 0.004]);
figure('Name','fig5_3: Poisson reg... |
636d7547742ed577047e1eb5ec5d633dbfeddcfa1191cbf1ad3f5f6208e263b6 | MATLAB | 415 | 6 | %-----------------------------------------------------------------------
% Job saved on 11-Apr-2016 11:09:29 by cfg_util (rev $Rev: 6460 $)
% spm SPM - SPM12 (6470)
% Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
%-------------------------------------------... |
83805f9742bd3f99a2f6d08fe764264394b8f4ee30fb8c0c6b86e43f25623aa1 | MATLAB | 415 | 14 | function [n,thresholds] = plx_chan_thresholds(filename)
import CMBHOME.PLX2Mat.*
% plx_chan_thresholds(filename): Read channel thresholds from a .plx file
%
% [n,thresholds] = plx_chan_thresholds(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
% OUTPUT:
% thresholds - array of treshold... |
9da5c6e4ed2f3161ffaabf42af9893bdc1f1a6d4a4cb2a8f13ef41e96fe6c7b6 | MATLAB | 416 | 25 | function timestamp ( )
%*****************************************************************************80
%
%% TIMESTAMP prints the current YMDHMS date as a timestamp.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% Modified:
%
% 14 February 2003
%
% Author:
%
% John Burkardt
%
... |
a52afae5896840f9c9cbb7ac9efabed2d4a62f3e21d0aca16400bb32f2a1f63d | MATLAB | 416 | 13 | % Local Regression and Likelihood, Figure 11.4.
% Author: Catherine Loader
%
% Local Adaptive Smooth - Dopler example.
%
% NEED: Improve plot - curve is hard to see.
x = (0:2047)'/2047;
m = 20*sqrt(x.*(1-x)) .* sin(2*pi*1.05 ./ (x+0.05));
y = m + normrnd(0,1,2048,1);
fit = locfit(x,y,'pen',4,'acri','cp','max... |
47e872d5112bad16c48e78ceb6b19982bce585207e672982d07bb40d9376be9d | MATLAB | 418 | 10 | function ea_cvshowvatresults(resultfig,pX,directory,filesare,handles,pV,selectedparc,options)
% determine if fMRI or dMRI
mods=get(handles.vatmodality,'String');
mod=mods{get(handles.vatmodality,'Value')};
if regexp(mod, '^Patient''s fMRI - ', 'once')
ea_cvshowvatfmri(resultfig,pX,directory,filesare,handles,pV,select... |
2a55992aadef2af3988ec13652bd8d4b1cfd39ff18e896863301f9ae5d4817ef | MATLAB | 419 | 7 | % Examples employing logarithms, exponentials, and entropy functions
%
% max_entropy.m - Entropy maximization
% sparse_covariance_est.m - Sparse covariance estimation for Gaussian variables
% sparse_covariance_est_tradeoff.m - Sparse covariance estimation for Gaussian variables
% weighte... |
2de0187c773bd471b23674cf3b61f7a6e2aa1dd91bb74f0b3d23c2f841eb39dc | MATLAB | 419 | 13 | function p = CBIG_lr_test(X_r, y, n, ll_u, dof)
if isempty(X_r) % only constant term
mu = sum(y==1)/numel(y); % ML estimate
ll_r = sum(y==1)*log(mu)+sum(y==0)*log(1-mu);
else
[b_r, ~, ~] = glmfit(X_r, [y n], 'binomial', 'link', 'logit'); % log(µ/(1-µ)) = Xb
yFit = glmval(b_r, X_r, 'logit', 'size', n);
... |
2577307de3e8edf0129e8f32bf1b115b5f768273ba2817989999fd05bd9686f0 | MATLAB | 420 | 13 | function [M,Mz,My,Mx] = ea_diode_rollpitchyaw(roll,pitch,yaw)
%% returns a 3x3 rotation matrix for roll->pitch->yaw rotation in that order
%% all in radians
a = pitch; %around x axis
b = yaw; %around y axis
c = roll; %around z axis
Mx = [1, 0, 0; 0, cos(a), sin(a); 0, -sin(a), cos(a)];
My = [cos(b), 0, sin(b); 0, 1, 0... |
75a3c1f59d0ad04564d83d4b387ca140d2d329f64266851a3874b30e1d8df566 | MATLAB | 421 | 13 | function [paramEP, ephysProperties, acg] = loadSavedProperties(savePath)
% JF, Load saved ephys properties
% ------
% Inputs
% ------
%
% ------
% Outputs
% ------
ephysProperties = parquetread(fullfile(savePath, 'templates._bc_ephysProperties.parquet'));
acg = parquetread([fullfile(savePath, 'templates._bc_acg.parque... |
8fd71c710dafd55f94eafdea4331186f0232d4709825fcad4897c54f1b6f7aac | MATLAB | 421 | 13 | function y = wrapped_2gaussian(x, a1, a2, mu, sigma1, sigma2)
if nargin==2
coef = a1;
a1 = coef(1);
a2 = coef(2);
mu = coef(3);
sigma1 = coef(4);
sigma2 = coef(5);
end
% 'f(x) = a1*exp(-((x-b1)/c1)^2) + a2*exp(-((x-(b1+pi))/c2)^2)';
y = a1 * exp(-min(abs(x - mu), mu+2*rad2deg(pi)-x).^2 ./ (2 *... |
663c59a29a7257b3b690f416a9b36efde39f52ba1eeed11c9973d89763faa091 | MATLAB | 422 | 17 | function xfit = lfmarg(fit)
% computes grid margins from a locfit object, used for plotting.
% this function is called from lfplot and lfband, will not normally
% be called directly by users.
box = fit.fit_points.fit_limits;
d = size(box,1);
xfit = cell(1,d);
mg = 10*ones(1,d);
if (d==1) mg = 200; end;
if (d==2) mg =... |
37893a6229ed836698ac5775b8280994cb6c208d7655255bec9f558ddc374272 | MATLAB | 423 | 13 | function obj = fig(obj,fig)
% fig Create separate figures according to one factor
%
% Example syntax : gramm_object.fig(variable)
% For each unique value of variable, a new gramm figure will be created,
% containing only the corresponding data. Useful when facet_ generates too
% crowded figures. Warning: the generated ... |
dd7fdfbbd468e24b47d476897732dbccf7876cfb69a3f617cd57bcf85ca0a170 | MATLAB | 423 | 13 | function [p_ANOVA,Q_ANOVA,p_two,q_two,or_two,or_twolow,or_twohigh] = ClincFreq_Chi2test(x,C)
[p_ANOVA,Q_ANOVA] = chi2test(x);
for i = 1:size(C,1)
X = [x(C(i,1),:);x(C(i,2),:)];
[p_two(i,1),q_two(i,1)] = chi2test(X);
freqv = x(C(i,1),:)./x(C(i,2),:);
if freqv(1)<freqv(2)
q_two(i,1) = q_two(i,1)*-... |
02373d13f2699e428c21f5794bac1fa2f2256d761de5004f87a2216879c4238b | MATLAB | 424 | 10 | function [dfG,dfR]=takeDelta(CinGreen,CinRed,FrameRate)
%normally start at 2 but try moving to 10 because sometimes it messes up
%the normalization I think?
baseG=mean(CinGreen(:,2:round(5*FrameRate)),2);%skip the first frame since it's sometimes messed up
dfG=CinGreen./baseG;
baseR=mean(CinRed(:,2:round(5*FrameRate))... |
8a582a9c2e5224a44aff26d2bff9d48356acc619d6c35956ebc4f16097b88926 | MATLAB | 425 | 18 | function [interped] = makelength(varargin)
% figure it out.
signal = varargin{1};
len = varargin{2};
if nargin > 2
method = varargin{3};
else
method = 'linear';
end
interped = interp1(1:length(signal),signal,1:length(signal)/len:length(signal),method);
c=1;
while length(interped) < len
interped = i... |
a44da256e25d2c4a46907cd1d43a399a7aefe53c68de33036c5130f9ba27364d | MATLAB | 426 | 18 | function n=num_edges(A)
% NUM_EDGES The number of edges in a graph.
%
% n = num_edges(A) returns the number of edges in graph A.
%
% For symmetric/undirected graphs, the number of edges returned is twice
% the number of undirected edges.
%
% Example:
% load graphs/dfs_example.mat
% n = num_edges(A)
... |
c181ab37a3a73281187231a7c9a220f116fa3aeb96ba3ce4aec2cec9ddbe8b0b | MATLAB | 426 | 15 | function [fnamesSorted,inds] = alphabetizeEEGfnames(fnames)
if ~iscell(fnames)
fnameLengths = arrayfun(@(x) length(x.name), fnames, 'unif', 1);
else
fnameLengths = cellfun(@(x) length(x), fnames, 'unif', 1);
end
lengths = unique(fnameLengths);
fnamesSorted = [];
inds = [];
for i = 1:length(lengths)
fnamesSorte... |
ee7542c233864762e84c7e73b97a0127ef0c45c1d93b13b4361dd6656b7fe850 | MATLAB | 426 | 16 | function [visang_deg] = Visual_Angle (screenwidth, totdist)
%
% [visang_deg] = Visual_Angle (screenwidth, totdist)
%
% visang_deg = visual angle in deg
% Screenwidth = width of screen in
% totdist = is viewing distance to screen (take care to use same unit as width)
%
% written by: Tessa Dekker 16-3-2015 t.... |
7b7dd607a562ad47f02e63198d5586ee7fd126dc56382831f1ee00d16c149f03 | MATLAB | 427 | 16 | function varargout=m2v(varargin)
%
% vol=m2v(node,face,Nxyz)
% or
% vol=m2v(node,face,xi,yi,zi)
%
% shortcut for mesh2vol, rasterizing a teterahedral mesh to a volume using graphics
%
% author: Qianqian Fang (fangq <at> nmr.mgh.harvard.edu)
%
% input/output: please see details in the help for mesh2vol
%
% -- this func... |
cecd2274dcad8bd3963c202a8d5ff2856b2f1db2f9134fa7e7e67d268f422836 | MATLAB | 427 | 24 | function mu = RiceMean(nu, sig)
% This code is from Jelle Veraart - NYU
if sig>0
x = - nu.^2 ./ (2*sig.^2);
I0 = besseli(0, x/2, 1).*exp(abs(real(x/2)));
I1 = besseli(1, x/2, 1).*exp(abs(real(x/2)));
K = exp(x/2).*(x.*I1 + (1-x).*I0);
mu = 1.2533 .* sig .* K;
nanlocs = find(isnan(mu) | ~isfinite(mu));
mu(nanlocs... |
cdbb41e0a2912d7767ff662877c8fec805189d440b65678ec9be81fa9d2a5be7 | MATLAB | 428 | 15 | function drawploy_custom(shapeoutline, shapecolor, Mver)
if str2double(Mver(end-4:end))<2019
h1 = impoly(gca, shapeoutline);
h1.Deletable = false;
setColor(h1, shapecolor)
setVerticesDraggable(h1, false)
else
drawpolygon(gca,'Position', shapeoutline, ...
'Color', shapecolor,...
... |
b67cd1e19fcd54c3139df87f04a30a8ca6e8effe3c2b6368f06e496dbc340094 | MATLAB | 429 | 21 | function [times groups spikesmat] = spikes2sorted(spikes)
times=[];
groups = [];
for i=1:length(spikes)
% if ~isempty(spikes{i})
times = [times;spikes{i}];
groups = [groups;ones(length(spikes{i}),1)*i];
% else
% times = [times; nan];
% groups = [groups; i];
% end
... |
fef2ae65cd8fe759a3fcc1591cabe48fa10f72fce4c64c894ac3ded3c2a7bf2a | MATLAB | 429 | 15 | function [nch, npoints, freq, d] = ddt(filename)
import CMBHOME.PLX2Mat.*
% ddt(filename) Read data from a .ddt file
%
% [nch, npoints, freq, d] = ddt(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% nch - number of channels
% npoints - number of data points for each chan... |
09168078b62c59b59737eb5eba3be9048038707e4bdfeb8902eff62a33e5f0ff | MATLAB | 430 | 15 | function [ y, symm ] = cvx_s_hankel( m, n, symm )
%CVX_S_HANKEL Hankel matrices.
c = 0 : n - 1;
c = c( ones( 1, m ), : );
r = ( 0 : m - 1 )';
r = r( :, ones( 1, n ) );
v = abs( r + c ) + 1;
y = sparse( v, r + m * c + 1, 1, m + n + 1, m * n );
symm = false;
% Copyright 2005-2016 CVX Research, Inc.
% See the fil... |
5d6083a352cebfe3cb15b1fffeb80c6aac799919a32724a2638836ff91e96b3f | MATLAB | 430 | 15 | function hdr = empty_hdr(fmt)
% Create an empty NIFTI header
% FORMAT hdr = empty_hdr
%__________________________________________________________________________
% Copyright (C) 2005-2013 Wellcome Trust Centre for Neuroimaging
%
% $Id: empty_hdr.m 5451 2013-04-26 14:03:05Z guillaume $
if ~nargin, fmt = 'nifti1'; end... |
46dc8fbe75a15f3ed2fe5aeaf558293f4ab0a285b6326f4275b15de4749c317b | MATLAB | 431 | 19 | function [isbinary,minmax]=ea_discfibers_checkcustomNii(vatlist)
% small function to check whether input custom ROI (pseudoM case) are
% binary and/or return their min/max values
for v=1:length(vatlist)
nii=ea_load_nii(vatlist{v});
isbinary(v)=ea_isbinary(nii.img);
minmax(v,:)=[ea_nanmin(nii.img(:)), ea_... |
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