sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
656237aaa245c665be79ca6ae38d0af30c5dbf232ad5c12d9c120d9191619400 | MATLAB | 294 | 7 | function color = Cmrd
%Cmrd Muted red color vector.
% CMGR returns [0.1 0.8 0.4]. This can be supplied as the 'Color'
% property to HandleGraphics objects, extending the, e.g., 'k' style of
% specifying common colors (& saving a tiny bit of typing).
color = [0.9 0.3 0.3];
|
94b2d60d54e52c5cc4707fb641d6a2bd3c9c7595d33d36205e31415a1b853a1b | MATLAB | 294 | 7 | function color = Cdgy
%Cdgy Dark gray color vector.
% CDGY returns [0.4 0.4 0.4]. This can be supplied as the 'Color'
% property to HandleGraphics objects, extending the, e.g., 'k' style of
% specifying common colors (& saving a tiny bit of typing).
color = [0.4 0.4 0.4];
|
a5323a8d99d65dfe53596342db2b3d2e237fb9be8f3f980c4f2d6650c5572aa2 | MATLAB | 294 | 5 | signatures_to_plot = {'NPS' 'NPSpos' 'NPSneg' 'SIIPS'}; % NPS, VPS, SIIPS, etc., etc.
myscaling = 'raw'; % 'raw' or 'scaled'
mymetric = 'dotproduct'; % 'dotproduct' or 'cosine_sim'
plugin_signature_condition_contrast_plot
|
aac59051365ef57717a407c0a4bb88c8341f9ffa6a5820074551d3dbe1881263 | MATLAB | 294 | 11 | function getBinaryClassifiersTest(blockTagsAC,features,folderpath,nameTag)
classes = ['OC';'OH';'OW';'CH';'CW';'HW'];
for cla = 1:6
class1 = classes(cla,1);
class2 = classes(cla,2);
perfMat = binaryClassTest(class1,class2,blockTagsAC,features,folderpath,nameTag);
end
end |
35b5b801a82534b25a4f692e4b1beff97226cee28f6a9604ca1e7fcc46c2f3e0 | MATLAB | 295 | 8 | function y = cvx_subsasgn( y, varargin )
temp.type = '()';
temp.subs = varargin(1:end-1);
y = subsasgn( y, temp, varargin{end} );
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
65d75737bf9b244d77abcc5d3a2fb3776ebc2965f5c4e596e6af3d28af0186a8 | MATLAB | 295 | 7 | function color = Clgy
%Clgy Light gray color vector.
% CLGY returns [0.7 0.7 0.7]. This can be supplied as the 'Color'
% property to HandleGraphics objects, extending the, e.g., 'k' style of
% specifying common colors (& saving a tiny bit of typing).
color = [0.7 0.7 0.7];
|
b90df4c284b62035be8dfc9db8dde1dad951089812197de2761a33807f82d73d | MATLAB | 295 | 7 | function color = Cmbl
%Cmbl Muted blue color vector.
% CMBL returns [0.0 0.4 0.8]. This can be supplied as the 'Color'
% property to HandleGraphics objects, extending the, e.g., 'k' style of
% specifying common colors (& saving a tiny bit of typing).
color = [0.0 0.4 0.7];
|
e76528ea0c81236f865e4a1c9e2f2c865b93107c9f2de7bd5ce2dbc4fd787820 | MATLAB | 295 | 7 | function y = wrapped_1gaussian(x, a, mu, sigma)
if nargin==2
y = a(1) * exp(-min(abs(x - a(2)), a(2)+2*rad2deg(pi)-x).^2 ./ (2 * a(3)^2));
else
% fmodel = 'f(x) = a1*exp(-((x-b1)/c1)^2)';
y = a * exp(-min(abs(x - mu), mu+2*rad2deg(pi)-x).^2 ./ (2 * sigma^2));
end |
1095521881547a3e9990bceb6422eac23d781c0229bf5fd53a4ac66537a0cc54 | MATLAB | 296 | 8 | function D = ea_sqdist(X1, X2)
% Pairwise square Euclidean distance between two sample sets
% Input:
% X1, X2: dxn1 dxn2 sample matrices
% Output:
% D: n1 x n2 square Euclidean distance matrix
% Written by Mo Chen (sth4nth@gmail.com).
D = bsxfun(@plus,dot(X2,X2,1),dot(X1,X1,1)')-2*(X1'*X2);
|
4500fd2b6b7fc6745ab1564173b1d75c7401bf3f38e7e4f73f8ef929def3c7da | MATLAB | 296 | 11 | function alpha = circ_ang2rad(alpha)
% alpha = circ_ang2rad(alpha)
% converts values in degree to radians
%
% Circular Statistics Toolbox for Matlab
% By Philipp Berens, 2009
% berens@tuebingen.mpg.de - www.kyb.mpg.de/~berens/circStat.html
import CMBHOME.Utils.circ.*
alpha = alpha * pi /180; |
5069a2d19839706821d418ebda8b6ff924b6b915a9ca83344e98162eb1ce7a35 | MATLAB | 296 | 11 | function y = cvx_isnonzero( x, full ) %#ok
narginchk(1,2);
if nargin == 1,
y = nnz( x ) ~= 0;
else
y = x ~= 0;
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
7b1ad5ba912752fdcec9da851b97ef452c789d28d094b047ee983c677005ccca | MATLAB | 296 | 7 | function color = Cmgr
%Cmgr Muted green color vector.
% CMGR returns [0.1 0.8 0.4]. This can be supplied as the 'Color'
% property to HandleGraphics objects, extending the, e.g., 'k' style of
% specifying common colors (& saving a tiny bit of typing).
color = [0.1 0.8 0.4];
|
ada794020690fb3a3aeaf3369432e8f97d443e9c0a51fd7d2b178ac6296e3ba8 | MATLAB | 296 | 7 | function y = cvxdual( prob, name )
y = class( struct( 'problem_', prob, 'name_', name, 'attached_', false ), 'cvxdual', cvxobj );
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
0602fb52d3fdffad09bf1f042e35ab2974509e018d9929845cff034f5d177af9 | MATLAB | 297 | 11 | function out = Kropff(self)
%Uses Kalman filter from Kropff et al. 2015 Velocity output is stored as
%out.v
import CMBHOME.*
xvec = CMBHOME.Utils.nanInterp(self.b_x,'spline');
yvec = CMBHOME.Utils.nanInterp(self.b_y,'spline');
out = CMBHOME.Session.speed_kalman(xvec, yvec, self.fs_video);
end |
e26caf0ab7bc7d207ecaa01314bb63f22d5e0adc81a4616a57d028d9256ea568 | MATLAB | 298 | 9 | function a = in( x, y )
narginchk(2,2);
b = newcnstr( evalin( 'caller', 'cvx_problem', '[]' ), x, y, '==' );
if nargout, a = b; end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
ee4d331b96cea0ef0b242607dd7a8cb98196890b5762fdca3e87c64187c3320b | MATLAB | 298 | 6 | % Sparse solution heuristics
%
% sparse_solution.m - Computing a sparse solution of a set of linear inequalities
% sparse_infeas_dual.m - Detecting a small subset of infeasible linear inequalities
% sparse_infeas.m - Finding a point that satisfies many linear inequalities
help Contents
|
00c3f767a44a5ad3a6ae55df3f883422ed91c0f1206a2dda0cd15a6ce6b092a7 | MATLAB | 299 | 42 | fig1_1
fig1_2
fig2_2
fig2_3
fig2_4
fig2_5
fig2_6
fig2_7
fig3_1
fig4_1
fig4_2
fig4_3
fig4_4
fig5_1
fig5_2
fig5_3
fig5_4
fig5_5
fig5_6
fig6_1
fig6_2
fig6_3
fig6_4
fig6_5
fig6_6
fig6_7
fig7_1
fig7_2
fig7_3
fig7_4
fig7_5
fig7_6
fig8_1
fig8_2
fig8_3
fig9_1
fig9_2
fig10_1
fig11_1
fig11_4
fig11_5
fig13_1
|
5f778fbda13d46d6c7bb697e9a3d08fc5475d974a44992a31180e11f9ea62129 | MATLAB | 299 | 9 | function display( x )
long = ~isequal(get(0,'FormatSpacing'),'compact');
if long, disp( ' ' ); end
disp(x);
if long, disp( ' ' ); end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
863c0fff48da310b7d81e118207652e96859975585a8533d326342ec1412e66c | MATLAB | 299 | 11 | function o = vertcat(varargin)
% Vertical concatenation of file_array objects.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: vertcat.m 1143 2008-02-07 19:33:33Z spm $
o = cat(1,varargin{:});
return;
|
a20b3a28cc519a344d6818134fe15b95d8ef3f3ed6a4b21e5acf5fd0720197d0 | MATLAB | 299 | 12 | function options=ea_amendtoolboxoptions(options)
if ~isfield(options,'lc') % might be predefined from an exported script..
try
options.lc = options.prefs.machine.lc;
catch
options.lc = [];
end
end
% append 2D options.
options.d2 = ea_tdhandles2options([], options.d2);
|
45809f1020cd61ae19e6f6f1b510d1947472807e2dcd24e6e90b9ee56ac0e3eb | MATLAB | 300 | 15 | function distmap = test_depth_first_search(A,u)
distmap = -1*ones(size(A,1),1);
distmap = ipdouble(distmap);
distmap(u) = 0;
function on_tree_edge(ei,u,v)
distmap(v) = distmap(u)+1;
end
depth_first_search(A,u,struct('tree_edge',@on_tree_edge));
distmap = double(distmap);
end |
75cee4e1405153987b6a177c353392bd1e87edc65a53d38aba43c238c6be6bae | MATLAB | 300 | 17 | function plotbyfactor(x,y,f)
%
% very simplistic version of plotbyfactor.
% no symbols, will crash if more than 8 levels.
%
z = unique(f);
cols = ['b','r','g','m','c','y','k','w'];
for (i = 1:length(z))
u = find(f==z(i));
plot(x(u),y(u),'.','color',cols(i));
hold on;
end;
hold off;
return;
|
8ec2d41182758ba6149716d80c58339977173fd826c9408fbabfc3012bae63f0 | MATLAB | 300 | 11 | function narginchk(imin, imax)
narg = evalin('caller', 'nargin');
if narg < imin,
me = {'MATLAB:narginchk:notEnoughInputs', 'Not enough input arguments.'};
elseif narg > imax,
me = {'MATLAB:narginchk:tooManyInputs', 'Too many input arguments.'};
else
return
end
throwAsCaller(MException(me{:}));
|
9c1a6a5e10e5f9ff09bb13fe856d5e21e4b45068aec53b88a673dffd4ff5a636 | MATLAB | 300 | 10 | function y = cvx_readlevel( x )
if ndims( x ) <= 2,
y = sparse( size( x, 1 ), size( x, 2 ) );
else
y = zeros( size( x ) );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
b12d489c00f55b3fa2d9edda63936c59f22b4adfafce97cd63437085cf1c26a7 | MATLAB | 300 | 12 | % mex all the ccode
cd(fullfile(ea_getearoot,'ext_libs','mesoft','ccode'));
%display('mexing c-code');
%ft_make
cd ..
% add the neccesary paths
disp('adding MATLAB-path');
addpath(pwd)
addpath(fullfile(pwd,'ccode'));
addpath(fullfile(pwd,'aux_mfiles'));
addpath(fullfile(pwd,'sphereInterpolation')); |
b48b6d7fe8864bda3b888bbd0ad82c39f2d5129c6e151cc45acbfa4d73d2c237 | MATLAB | 300 | 6 | function [inter,F2,nF2,Tnew]=VolumeCheckNew(V,F,nF,T,nT,Frows,F_Local,F_Local_new, Vertex_id,Vertex_id_Local,Volume_Original)
nTold=nT;
[V,F,nF,T,nT]=process(V,F,nF,T,nT,Frows,F_Local,F_Local_new, Vertex_id);
F2=F; nF2=nF;
inter=VolumeCheck(V,F,nF,T,nT,Volume_Original);
Tnew=T(nTold+1:nT,:);
|
ee0012e942931f3d8e75d97fca0e83f56f19100c30176ab111e2bc4fff041034 | MATLAB | 300 | 10 | function varargout = permute(varargin)
% Can not be permuted.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: permute.m 1143 2008-02-07 19:33:33Z spm $
error('file_array objects can not be permuted.');
|
2f13ffb12d93697f9f5a8661a78e8b6040da3053dfd4ebbd258533230d8b14c0 | MATLAB | 302 | 8 | function Ne=vertex_neighbours(FV)
% This function VERTEX_NEIGHBOURS will search in a face list for all
% the neigbours of each vertex.
%
% Ne=vertex_neighbours(FV)
%
Ne=ea_vertex_neighbours_double(FV.faces(:,1),FV.faces(:,2),FV.faces(:,3),FV.vertices(:,1),FV.vertices(:,2),FV.vertices(:,3));
|
48d899366960ff676368d1620ceb928b2027b80b6f7eb09bee140b6c39aafaef | MATLAB | 302 | 9 | function smODF = smoothHardi(ODF,bDir,numit)
smODF = ODF;
for k = 1:size(hardi,4);
D = eye(3)*0.2 + single(bDir(:,k)*bDir(:,k)');
smODF(:,:,:,k) = anisoDiffusionHomogenous(single(squeeze(ODF(k,:,:,:))),[D(1,1) D(2,2) D(3,3) D(1,2) D(1,3) D(2,3)]',single([0.1 numit]));
fprintf('.');
end; |
a2cbc408210a50ad916678bb11600d870c0b7f3c6088a68f2ef870419aa01fff | MATLAB | 302 | 11 | % Finds the number of k-neighbors (k links away) for every node
% INPUTS: adjacency matrix, node index, k - number of links
% OUTPUTS: vector of k-neighbors indices
% GB, May 3, 2006
function kneigh = kneighbors(adj,ind,k)
adjk = adj;
for i=1:k-1; adjk = adjk*adj; end;
kneigh = find(adjk(ind,:)>0); |
264a767767534b7256f9f546d4850e538552556c2a91a5278692e4793c122242 | MATLAB | 303 | 11 | function o = horzcat(varargin)
% Horizontal concatenation of file_array objects
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: horzcat.m 1143 2008-02-07 19:33:33Z spm $
o = cat(2,varargin{:});
return;
|
ba372dfc0656e43e4e1086b0ee91f607e5900c53097baa9d1e85092096055982 | MATLAB | 303 | 19 |
% cleanmex
cd util
mex('myContrast.cc');
cd ../
cd algsrc
mex('mexArrangeLinear.cc');
mex('mexAssignWeights.cc');
mex('mexColumnNormalize.cc');
mex('mexSumOverScales.cc');
mex('mexVectorToMap.cc');
cd ../
cd saltoolbox/
mex('mySubsample.cc');
mex('mexLocalMaximaGBVS.cc');
cd ../
|
bdd3d262efba068e93ba312e37fa3f94f61a162ec21dd3555c45dd51a6852795 | MATLAB | 303 | 8 | function GCO_ExpandOnAlpha(Handle,Alpha)
% GCO_ExpandOnAlpha Perform a single alpha-expansion step.
% GCO_Expansion(Handle,Alpha) takes the current labeling and performs
% a single expansion step on label Alpha.
GCO_LoadLib();
gco_matlab('gco_alphaexpansion',Handle,int32(Alpha));
end
|
c3b17c6982fe40ed8e756349e6a083f788082ec7ffcbf534fdf26bc2c8f12799 | MATLAB | 303 | 16 | function y=rot2d(x,angle)
% Usage ... y=rot2d(x,angle)
%
% x is a row vector and angle is in degrees
angle=angle*(pi/180);
rotm=[cos(angle) -sin(angle);sin(angle) cos(angle)];
if size(x,1)==1,
y=(rotm*(x.')).';
else,
for m=1:size(x,1),
y(m,:)=(rotm*(x(m,:).')).';
end;
end;
|
02222c4e2ef8193061ec859f1f0e2167a210727bd005294a1d4043b89eccd2be | MATLAB | 304 | 11 | % Local Regression and Likelihood, Figure 5.5.
% Author: Catherine Loader
%
% Bivariate Density Estimation.
load trimod;
fit = locfit([x0 x1],'nn',0.35);
emp = sort(fitted(fit));
v = emp(floor([0.05 0.5]*225));
figure('Name','fig5_5: Bivariate density estimation' );
lfplot(fit,'contour',v);
|
ae6325b1f89820e51b7a78cb887bc2b4202bf0e94bdbebf545a422c2bb26ff82 | MATLAB | 304 | 12 | function p = testCoeffSig(beta,nullval,SE,dof,twotail)
%%% Calculates the p-value in a test of significance for a
%%% coefficient compared to a null value. dof is degrees of freedom;
%%% twotail is boolean.
tstat = abs(beta-nullval)/SE;
p = 1-tcdf(tstat,dof);
if twotail
p = 2.00*p;
end |
d42a873fe99161c3032cc3e07e0b528542dad42d6bb2781c8883f7d2bb810cf1 | MATLAB | 304 | 14 | function ea_checkcoregallmri(options,usebrainmask,usefa)
if ~exist('usebrainmask','var')
usebrainmask=0; % by default dont use brain mask.
end
if ~exist('usefa','var')
usefa=1; % by default use it.
end
ea_coreg_all_mri(options,usebrainmask)
if usefa
ea_coreg_fa(options,usebrainmask);
end
|
47311adbb91ca2669e4be740c75b836c1d698e833198e9d032e4f06b8fd90d45 | MATLAB | 305 | 11 | % Local Regression and Likelihood, Figure 6.2.
% Author: Catherine Loader
%
% Local smooth of CO2 dataset, main trend.
load co2;
fit = locfit(year+month/12,co2,'alpha',0.5,'deg',1);
figure('Name','fig6_2: CO2 Dataset: Local smoothing, main trend' );
lfplot(fit);
xlabel('Date');
ylabel('CO2')
|
56dc79cce06fdce09c4247361ba2aa42c1b1b643f44a6251b82e6810aa0b0809 | MATLAB | 305 | 9 | %% getIntensityForLabel
%
% Florian Bernard
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2014 - 2017
function intensity = getIntensityForLabel(labelNames, label)
intensity = find(strcmp(labelNames, label)) - 1;
end |
7289c3a9a2cbb779ba92f03b21fcd6f64b77cedb2e916a59ca7f570434c8deab | MATLAB | 305 | 11 | function y = cvx_vexity( x )
sx = size( x );
if cvx_use_sparse( sx, 0, true )
y = sparse( sx(1), sx(2) );
else
y = zeros( sx );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
00fc2a373a1df6fd9feeabfc930561a695021bdf27e35c4a76f8f1de8c0b9ba5 | MATLAB | 306 | 14 | function display(obj)
% Display a NIFTI-1 object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: display.m 1143 2008-02-07 19:33:33Z spm $
disp(' ');
disp([inputname(1),' = '])
disp(' ');
disp(obj)
disp(' ')
|
3371400cef17bc5081da9c1e22ff5cfad5a307f367334e681b8c295c57422fca | MATLAB | 306 | 12 | function rotatemat=rri_bootprocrust(origlv,bootlv)
%syntax rotatemat=rri_bootprocrust(origlv,bootlv)
% - from PLS toolbox
%define coordinate space between original and bootstrap LVs
temp=origlv'*bootlv;
%orthogonalze space
[V,W,U]=svd(temp);
%determine procrustean transform
rotatemat=U*V';
|
79e3ded94955e2087939af9ddd92a6a3532554a117e43d15e063b9355abbc797 | MATLAB | 306 | 11 | function computeSpatialDecay = checkProbeGeometry(channelPositions)
% check if there are enough close-by channels to compute spatial decay
% (i.e. is it a high density probe or not)
if min(diff(unique(channelPositions(:, 2)))) < 30
computeSpatialDecay = 1;
else
computeSpatialDecay = 0;
end
end
|
3e5db448eae8a66edf6f06edd42e334d7a6a0cfa7b9542728a079b778973c85d | MATLAB | 307 | 14 | function p = parent(tree,uid)
% XMLTREE/PARENT Parent Method
% FORMAT uid = parent(tree,uid)
%
% tree - XMLTree object
% uid - UID of the lonely child
% p - UID of the parent ([] if root is the child)
%
% Return the uid of the parent of a node.
%
% See also XMLTREE
p = tree.tree{uid}.parent;
|
26361f5788fd191d8ed00c3bffb26e18c87c1f8835ab62cc70f6e0360ef49853 | MATLAB | 308 | 12 | function tt = time(td)
%TIME Extract the time portion of tall calendar durations.
% T = TIME(D)
%
% See also CALENDARDURATION/TIME.
% Copyright 2016 The MathWorks, Inc.
td = tall.validateType(td, mfilename, {'calendarDuration'}, 1);
tt = elementfun(@time, td);
tt = setKnownType(tt, 'duration');
end
|
d253864870ace183c0069cc6ef4d0310783cb8d20d6bc77bfb8d01e2f333baf6 | MATLAB | 308 | 6 | function x = double( v ) %#ok
error( 'Disciplined convex programming error:\n Constraints may not appear in if/then statements.', 1 ); %#ok
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
00e14fe8eb80ba5b8b222b273e0bffa780215fa23b581f30414aad4aa13add55 | MATLAB | 309 | 14 | function display(obj)
% Display a file_array object
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: display.m 1143 2008-02-07 19:33:33Z spm $
disp(' ');
disp([inputname(1),' = '])
disp(' ');
disp(obj)
disp(' ')
|
89e2dd4452d4970afac4c3084d2932f17f048544ed7de2434f4f9cc3569a018d | MATLAB | 309 | 6 | function x = logical( v ) %#ok
error( 'Disciplined convex programming error:\n Constraints may not appear in if/then statements.', 1 ); %#ok
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is located.
|
3f25a6ebdd3949fac608e4ce04336764e284b5f3ecc953ca4555f102a95fe990 | MATLAB | 310 | 12 | function out = double(fa)
% Convert to double precision
% FORMAT double(fa)
% fa - a file_array
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: double.m 1143 2008-02-07 19:33:33Z spm $
out = double(numeric(fa));
|
52b324608a15bf61a8d81aa8b9dedd3f86b4a5254b1f196316f6222bcd41ffe7 | MATLAB | 310 | 8 | function fatlines(wid,ii)
dlha = get(gca,'children');
if nargin==0, wid=2; end;
if isempty(wid), disp(sprintf(' #lines= %d',length(dlha))); return, end;
if ~exist('ii'), ii=[1:length(dlha)]; end;
if isempty(ii), disp(sprintf(' #lines= %d',length(dlha))); end;
set(dlha(ii),'LineWidth',wid);
clear dlha
|
7d75ea6e9be55862532bc08946823edb528ea37e94d501e3d8435d23ca46187a | MATLAB | 310 | 8 | for type = 1:19
A = flydata([flydata.trtype]==type);
figure; set(gcf,'Position',[151 68.2 1121.2 790.8])
for i = 1:length(A)
subplot(3,ceil(length(A)/3),i); imagesc(A(i).gaussianfluor); colormap('gray'); caxis([-1 6])
end
sgtitle(['SS02255 Exp1&5 type: ' int2str(type)]);
end |
8edd07b265b4ac91e1e13e0c984b3a1483d58ada2ce4b98f064876ba440ebb79 | MATLAB | 310 | 9 | function varargout = ctranspose(varargin)
% Transposing not allowed
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: ctranspose.m 1143 2008-02-07 19:33:33Z spm $
error('file_array objects can not be transposed.');
|
88d818f850d45bb381f93522cc1f844794fcfad455cebf1036ec547383af5a11 | MATLAB | 311 | 13 | function bz_mySQL = bz_database_credentials
% Credentials used when connecting the Buzsakilab metadata-database
%
% v1.0
%
%
% By Peter Petersen
% petersen.peter@gmail.com
bz_mySQL.address = '77.104.157.210';
bz_mySQL.table = 'Datasets';
bz_mySQL.userid = 'buzsakid_users';
bz_mySQL.password = 'BuzsakiLab9';
|
383172b5e4f61f4037353ae51e6457341d5597e3cc9a99ac20d02e17c525aa03 | MATLAB | 312 | 10 | function [files] = jdir(folder, regexp)
% Grabs current directory, moves cd to folder, selects all files
% according to regexp (e.g. '*.avi'), then returns to original
% directory.
%[files] = jdir(folder, regexp)
home = pwd;
cd(folder);
files = dir(regexp);
cd(home);
end |
2cbb9f46852619d9a037a0e83ceee3ef2e81ae2cd546d0721ba112c422248064 | MATLAB | 313 | 10 | function varargout = transpose(varargin)
% Transposing is not allowed.
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: transpose.m 1143 2008-02-07 19:33:33Z spm $
error('file_array objects can not be transposed.');
|
5c3d1361f1f2114a369ca3047c6d49a4db6e43ba7d1dec577a2de0f8fd5c9862 | MATLAB | 313 | 10 | function dopapersize(newsize)
% newsize needs to exist (e.g. newsize=[9 8]; )
set(gcf,'Units','inches');
papersize=get(gcf,'Position');
newpapersize=[papersize(1:2) papersize(3:4).*(newsize./[8 6])];
set(gcf,'Position',newpapersize);
set(gcf,'PaperSize',newsize);
set(gcf,'PaperPositionMode','auto');
|
d69add2b5bf7f19b1cd97ffe4123faa84cf0115f3403ac526b2ec998900957fa | MATLAB | 313 | 10 | function smODF = smoothODF(ODF,bDir,numit)
smODF = ODF;
for k = 1:size(ODF,1);
D = eye(3)*0.2 + single(bDir(:,k)*bDir(:,k)');
smODF(k,:,:,:) = anisoDiffusionHomogenous(single(squeeze(ODF(k,:,:,:))),[D(1,1) D(2,2) D(3,3) D(1,2) D(1,3) D(2,3)]',single([0.1 numit]));
fprintf('.');
end;
fprintf('\n'); |
e5b0561885fec05267d1db0aab09e639ff913c68383b0f5d631e97ad7274628a | MATLAB | 313 | 17 | function cm_data=eco_kos(m)
cm = [0 0 0;
126 40 127;
51 104 156;
167 210 140;
254 205 8;
255 253 25]/255;
if nargin < 1
cm_data = cm;
else
hsv=rgb2hsv(cm);
cm_data=interp1(linspace(0,1,size(cm,1)),hsv,linspace(0,1,m));
cm_data=hsv2rgb(cm_data);
end
end |
6ab5181be972a87f77beab22622cc4ea0fde071d9d17cc52b3280677212eca97 | MATLAB | 314 | 14 | function result = nonzeroCoef(beta,bystep)
if nargin < 2
bystep = false;
end
result = abs(beta)>0;
if ~bystep
result = any(result,2);
end
%-------------------------------------------------------------
% End private function nonzeroCoef
%-------------------------------------------------------------
|
22c05f1ddf9e51623fd20808c85136b6a4fb8ef98aa792701d600c85e2f9a627 | MATLAB | 315 | 13 | function y=hz2erbRate(x)
%HZ2ERBRATE Convert Hz to ERB rate
%
% Y = IOSR.AUDITORY.HZ2ERBRATE(X) converts the frequency X (in Hz) to the
% eqivalent ERB number Y.
%
% See also IOSR.AUDITORY.ERBRATE2HZ, IOSR.AUDITORY.MAKEERBCFS.
% Copyright 2016 University of Surrey.
y=(21.4*log10(4.37e-3*x+1));
end
|
1ad02ae49ff180540f1cd68ef32a9663eca5e4a92ae6e970966ff40dc2c5ddc8 | MATLAB | 316 | 9 | function dat=quickstrongestdir(headpath,fileexpnum)
%use this one when the data has been analyzed before and saved.
cd('extracted2')
savefilename=strcat(fileexpnum,'_analysis2');
load(savefilename);
cd(headpath);
%0 for popvec,1 for maxvec
dat=plotstrongestdir_save(avgdiff,redtemps,ROIs,Xpix,Ypix,FrameRate,0);
end |
424d0e9c74e4fc10be3b8ceeba89c270c0317787415d210016f02d37dc20e46d | MATLAB | 316 | 8 | function [ddtData] = get_all_from_ddt(filename)
ddtData =[];
[dirstr, name, ext] = fileparts(filename);
ddtData.FileName = [name ext];
[ddtData.raw.nch, ddtData.raw.npoints, ddtData.raw.freq, ddtData.raw.d] = ddt(filename);
[ddtData.v.nch, ddtData.v.npoints, ddtData.v.freq, ddtData.v.d] = ddt_v(filename); |
4fe2da31ffb38e9dfefd27e7fcf262ab23dc3e93ca9b7ad2188f80ffaa6bbfb5 | MATLAB | 318 | 9 | function mydelete(filename)
%fix matlab's "error if doesn't exist" and braindead "send to recycling based on preference" misfeatures
if exist(filename, 'file')
recstatus = recycle();
cleanupObj = onCleanup(@()(recycle(recstatus)));
recycle('off');
delete(filename);
end
end
|
1a2db4f4f67d8d1d1557dfd4d150b0265b67be0fa80e08bb5b89411ad4ad2794 | MATLAB | 319 | 13 | function ea_dicm2nii(indir,outdir)
% Wrapper for dicm2nii (Xiangrui Li, https://github.com/xiangruili/dicm2nii)
%
% USAGE:
%
% ea_dicm2nii(indir,outdir)
%
% INPUTS:
% indir: DICOM folder
% outdir: output folder for NIfTI files
setpref('dicm2nii_gui_para', 'save_json', true);
dicm2nii(indir, outdir, 1) |
617f0378639b78fb054f50dd115f9afcd315ddc264bf837fac19b98179e27d0c | MATLAB | 319 | 12 | function d = double(ipa)
% INPLACE/DOUBLE Return the data as a Matlab double type.
% d = double(ipa) returns a double array. Changing d will not change the
% ipa data.
%
% Example:
% ipa = inplace(cumsum(ones(5,1)));
% d = double(ipa);
% d(2) = 10: % Doesn't change ipa
% ipa
d = ipa.get_a(); |
7b62a57262bb4629d63932a58c8d0da4253aee9b08cd1446f937ce797c2e7b7c | MATLAB | 319 | 19 | function chkinputdatatype_SleepScore(varargin)
%CHKINPUTDATATYPE Check that all inputs are double
% Copyright 2009-2013 The MathWorks, Inc.
%#ok<*EMCLS>
%#ok<*EMCA>
%#codegen
for n = 1:nargin
if ~isa(varargin{n},'double')
error(message('signal:chkinputdatatype:NotSupported'));
end
end
% [EOF]
|
a5e1d99c345cdaeabe8a6e7efd618af154ca399ad3d59c0cd6d532be01210832 | MATLAB | 319 | 14 | function filename = getfilename(tree)
% XMLTREE/GETFILENAME Get filename method
% FORMAT filename = getfilename(tree)
%
% tree - XMLTree object
% filename - XML filename
%
% Return the filename of the XML tree if loaded from disk and an empty
% string otherwise.
%
% See also XMLTREE
filename = tree.filename;
|
52046486f3e84429ada5fa7b104bf31d267ed21ca43bd4cf745c198f2e813930 | MATLAB | 320 | 12 | % WRITE serialize MATLAB data as TOML and write to file
%
% WRITE('file.toml', struct('key', 5)) writes the text `key = 5` to
% the file `file.toml`.
%
% See also TOML.ENCODE, TOML.READ
function write(filename, matl_strct)
fid = fopen(filename, 'w');
fprintf(fid, '%s', encode(matl_strct));
fclose(fid);
end |
26ffdc663f755d535ecc926faa06fd9286f02b722700811dc9a7aae84b6a89c4 | MATLAB | 321 | 18 | function [R1, t1] = PointCloud_reg(XX, YY)
x0 = mean(XX,2);
y0 = mean(YY,2);
n = size(XX,2);
Y_center = bsxfun(@minus, YY, y0);
Xshifted = bsxfun(@minus, XX, x0);
H = Y_center*Xshifted';
H = H/n;
[U, ss, V] = svd(H);
R1 = V*U';
if det(R1)<0
B = eye(3);
B(3,3) = det(V*U');
R1 = V*B*U';
end
t1 = x0 - R1*y0;... |
4a206fee9e5ca03fa3a291b825c8d9f56327ac5b99dfb542447aca680d5ec955 | MATLAB | 321 | 14 | function this = eegobj(EEG);
if nargin == 1
if isa(EEG, 'eegobj')
this = EEG;
return;
end;
for index = 1:length(EEG)
TMP(index).EEG = EEG(index);
end;
else
TMP.EEG = eeg_emptyset;
end;
this = class(TMP, 'eegobj');
... |
4d2d2d3acaddbf77bf4b5eb35921addedb56c64d3ee8a2e72e4be868c73bf480 | MATLAB | 321 | 17 | function triu_ind = calc_triu_ind(matrix)
% calc_triu_ind.m
%
% Calculate upper triangle indices of matrix
%
% Input: matric : data matrix (array)
%
% Output: triu_ind : indices of upper triangle (vector)
%
% Original: James Pang, Monash University, 2022
%%
[M, N] = size(matrix);
triu_ind = find(triu(ones(M,N),1));
... |
01de4204edc477f6e39f125da1bc0b50d0e5fefd789c332ddf2afd7697a6d4ff | MATLAB | 322 | 21 | function jacob = jacobianR(f, x0, m, heps)
if nargin < 3
m = length(f(x0));
end
if nargin < 4
heps = 2.220446e-16^(1/3);
end
n = length(x0);
jacob = zeros(n, n);
hh = zeros(m, n);
for i=1:n
hh(i) = heps;
jacob(:, i) = (f(x0 + hh) - f(x0 - hh)) / (2*heps);
hh(i) = 0;
end
end... |
34cfee9683539e63b5314fe36795f0bb774632ee59a29aa7016041a942267c17 | MATLAB | 322 | 11 | function biosigpathlast
str2doublepath = fileparts( which('str2double') );
sopenpath = fileparts( which('sopen') );
if strcmp(str2doublepath,sopenpath)
rmpath(str2doublepath);
str2doublepat2 = fileparts( which('str2double') );
addpath(str2doublepath,'-begin');
addpath(str2doublepat2,'-begin');
end... |
a6a49c3c4a0287d5dba1c5b5aaab6dac82a90f11f318cccac6e739877b97257c | MATLAB | 322 | 18 | function spk = dff2spk(dff)
tau_d = 20;
tau_r = 5;
nMax = 80;
pars = [tau_d, tau_r];
kernel = create_kernel('exp2', pars, nMax);
% kernel.bound_pars = false;
smin = 3;
[cn,fn] = size(dff);
spk = nan(cn,fn);
for ii = 1:cn
[~,spk(ii,:),~,~] = deconvCa(dff(ii,:), kernel, smin, false, false);
end
e... |
0415d2c5da74b5399f7d7bbea6bcd3912bebedc5a40853f7d659e3f26ed1a30b | MATLAB | 324 | 12 | function a = dofontsize(sz)
dlha = get(gca,'Title');
set(dlha(:),'FontSize',sz);
dlha = get(gca,'XLabel');
set(dlha(:),'FontSize',sz);
dlha = get(gca,'YLabel');
set(dlha(:),'FontSize',sz);
dlha = get(gca,'ZLabel');
%set(dlha(:),'FontSize',sz);
%dlha = get(gca,'ZTickLabels');
set(dlha(:),'FontSize',sz);
a = s... |
3b7d2e502f015d497083dfcb5a44f20c8133eaf65035eb9bdd84fc497e706fb1 | MATLAB | 324 | 7 | % Written by Nanbo Sun and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
% normalize gamma file to probabilities
gamma = load(gamma_file);
gamma_norm = bsxfun(@times, gamma, 1./(sum(gamma, 2)));
gamma_norm = gamma_norm(:, [1, 3, 2]);
dlmwrite(prob_file, gamma_norm, 'delimiter', ',... |
5a7e57836369693f75a248b9a086d6a0db9f9b85c58336d61ce17435ca40aa3a | MATLAB | 324 | 9 | if isunix
compflags = ' COMPFLAGS=''$COMPFLAGS -static-libstdc++'' CXXFLAGS=''$CXXFLAGS -msse2''';
fftwlib = 'libfftw3.a';
elseif ispc
compflags = ' COMPFLAGS="$COMPFLAGS /MT" CXXFLAGS="$CXXFLAGS /arch:AVX"';
fftwlib = 'fftw3.lib';
end
eval(['mex -compatibleArrayDims' compflags, ' ringRm.cpp ', fftwlib... |
cb4d7a634d1f2a17f54c1e73680c77aed7bf5abaf1232ac2f8410df7960dd947 | MATLAB | 324 | 10 | function cvx_optval = sum_square_abs( x, varargin )
%SUM_SQUARE_ABS Internal cvx version.
narginchk(1,2);
cvx_optval = quad_over_lin( x, 1, varargin{:} );
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is locat... |
6681bd56b24abc81e7d32f7fc579ac33702c7cc80b35124d6359968756807b74 | MATLAB | 325 | 15 | function n=num_vertices(A)
% NUM_VERTICES The number of vertices in a graph.
%
% n = num_vertices(A) returns the number of vertices in graph A.
%
% Example:
% A = sparse(ones(5));
% n = num_vertices(A);
%
% See also NUM_EDGES
% David Gleich
% Copyright, Stanford University, 2006-2008
n = size(A,... |
bc58cd51c896c631666c1cf3c38729e50dd9a3d059e11ad25921e4ba4e26b1de | MATLAB | 326 | 12 | function y = cvx_isaffine( x, full )
narginchk(1,2);
y = cvx_vexity( x );
if nargin < 2,
y = nnz( y ) == 0;
else
y = cvx_reshape( y == 0, x.size_ );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is loc... |
914b2312718d7450af3c546652dd65584fce7b97bc39868eaed5638f5f81d06f | MATLAB | 327 | 11 | function plotCols(Y, cmap)
% plotCols - Plot columns of a matrix with specified colors.
% plotCols(Y, cmap)
%
% Y : N x P matrix, each column plotted as a separate trace
% cmap : P x 3 matrix of RGB colors (one row per column of Y)
for k = 1:size(Y, 2)
plot(Y(:, k), '-', 'Color', cmap(k, :));
... |
cadd7575b69cbbfd28108414d3780381e366cfdf3896fbc1639206fd252536c3 | MATLAB | 327 | 10 | function z = eq( x, y )
if ~isa( x, class( y ) )
error( 'cvxprob objects may only be compared to each other.' );
else
z = cvx_id( x ) == cvx_id( y );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is lo... |
6a33926027e0f8701890167789892ecafdd2730c24da11f8169688824ba34acc | MATLAB | 329 | 14 | 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 score?
% 1 for MMSE, 2 for MEM, 3 for EF
Q = 2;
ps = CBIG_pairwiseCmpMeans(SUBINFO_FILE, GMICV_... |
9a80040dc6337d9ca9015de60e8c485eadb8639d0a9752796fec7317d2fd6a70 | MATLAB | 329 | 13 | function y = cvx_isconvex( x, full ) %#ok
narginchk(1,2);
if nargin == 2,
y = ~imag( x );
elseif isreal( x ),
y = true;
else
y = nnz(imag(x)) == 0;
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is ... |
69604d55028ca9e2c7a0a61a2e674979ea6d6b687208f03464fb64d463bcb549 | MATLAB | 330 | 13 | function y = cvx_isconcave( x, full ) %#ok
narginchk(1,2);
if nargin == 2,
y = ~imag( x );
elseif isreal( x ),
y = true;
else
y = nnz(imag(x)) == 0;
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is... |
ba5ee4ce28017c53c8d1bb6ff9526bdd0f1f7ffab9225f49cac1dd97e697b1f7 | MATLAB | 330 | 11 | if ismac
compflags = '';
elseif isunix
compflags = ' COMPFLAGS=''$COMPFLAGS -static-libstdc++''';
elseif ispc
compflags = ' COMPFLAGS="$COMPFLAGS /MT"';
end
mex(compflags, 'ea_smoothpatch_curvature_double.c');
mex(compflags, 'ea_smoothpatch_inversedistance_double.c');
mex(compflags, 'ea_vertex_neighbours_d... |
bae441f8f26c90b43f6c5ba047353e5534d58a53ea5de692fb4824eb13778ee4 | MATLAB | 330 | 12 | function y = cvx_isconvex( x, full )
narginchk(1,2);
y = cvx_vexity( x );
if nargin < 2,
y = nnz( y < 0 ) == 0;
else
y = cvx_reshape( y >= 0, x.size_ );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file is... |
d61b754e058dced0a6cb77f93460d1d10d23b93452328a064ec96771ac5e2e8d | MATLAB | 330 | 14 | function [EnergyMatrix]=GetEnergy(peak_test)
[cell_num,view_point]=size(peak_test);
EnergyMatrix=ones(cell_num,view_point);
for j=1:view_point
for i=1:cell_num
EnergyMatrix(i,j)=Sum_of_Squares(peak_test(i,j).new_sequence);
if EnergyMatrix(i,j)==0
EnergyMatrix(i,j)=1;
end
end
... |
d96ae0086b9e7ceb784043d8b81e444f71f4f81cf7148ea851f610f0a2687969 | MATLAB | 330 | 9 | % This function outputs the adjacency matrix of a subgraph given the
% supergraph and the node set of the subgraph
% INPUTs: adj - supergraph adjacency matrix, S - vector of subgraph node indices
% OUTPUTs: adj_sub - adjacency matrix of the subgraph
% GB, January 5, 2006
function adj_sub = subgraph(adj,S)
adj_sub = ... |
446668f2ce4384e6e3ae4e7330783f5844cff3990d03f031c0b23d167eb8d3ee | MATLAB | 331 | 12 | function y = cvx_isconcave( x, full )
narginchk(1,2);
y = cvx_vexity( x );
if nargin < 2,
y = nnz( y > 0 ) == 0;
else
y = cvx_reshape( y <= 0, x.size_ );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file i... |
aa435b439d6b71d68b46d3c7c280624e8498b021320eb9d4721f466670bd9904 | MATLAB | 331 | 14 | function [orval orcilow orcihigh]=Chi2testOR(A,B,C,D)
if B*C~=0
orval = (A*D)/(B*C);
lnorcilow = log(orval)-1.96*sqrt(1/A+1/B+1/C+1/D);
lnorcihigh = log(orval)+1.96*sqrt(1/A+1/B+1/C+1/D);
orcilow = exp(lnorcilow);
orcihigh = exp(lnorcihigh);
else
orval = NaN;
orcilow = NaN;
orcihigh = Na... |
b67430ee83d7a7fd2eae629191c2fb4ed555eaf6b5e272c743b292cb8409f9db | MATLAB | 331 | 15 | function res=comb(dat)
%Combines data in single array if originally in cells
if iscell(dat)
% Only worked if first element was non empty!
% if size(dat{1},1)==1
%Generic solution
if max(cellfun('size',dat,1))==1
res=horzcat(dat{:});
else
res=vertcat(dat{:})';
end
else
res=d... |
cf7b4af8042ce4e847c9b645a0645db09240ae078686b9dcf728ce4e32db0a07 | MATLAB | 331 | 14 | close all;
clear;
clc;
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';
WINDOW_SIZE = 3; % years
K = 3;
system('rm *.eps');
CBIG_compare_progression(SUBINFO_FILE, GMICV_FILE, WINDOW... |
cafec4f484e47aae490a1ba91d90b8e8086c802cab6f8f32fc71fd3a86085f0f | MATLAB | 332 | 12 | function y = cvx_isnonzero( x, full )
narginchk(1,2);
y = any( x.basis_, 1 );
if nargin < 2,
y = all( y );
else
y = cvx_reshape( y, x.size_ );
end
% Copyright 2005-2016 CVX Research, Inc.
% See the file LICENSE.txt for full copyright information.
% The command 'cvx_where' will show where this file i... |
71842698f649f8059517c3c5acb9f4d37d4da9c78cf169251440607006792b93 | MATLAB | 333 | 17 | function EEG = danalyzer2eeglab(psg)
% Convert a danalyzer psg struct to EEGLAB
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
EEG = eeg_emptyset();
EEG.data = psg.data;
EEG.pnts = psg.hdr.samples;
EEG.srate = psg.hdr.srate;
EEG.chanlocs = psg.chans;
EEG.nbchan = length(EEG.chanlocs);
EEG.trials = 1;
EEG = eeg_c... |
b31094dc1d42b8eb4058e7b0fb5c683a0d32d95171ef7c3a0bfda92eb14c5598 | MATLAB | 333 | 18 | function [ EKc_out , EKcw_out ] = subfun_disposalEKcData( EKc_raw )
EKc_out = [];
EKcw_out = [];
for i = 1:360
tmp = EKc_raw(EKc_raw(:,2)==i,1);
ttmp = [];
for k = 1:5
ttmp = [ttmp sum(tmp==k)];
end
[~,loc] = max(ttmp);
EKc_out = [EKc_out; loc];
EKcw_out = [EKcw_out; ttmp/sum(ttmp)]... |
d7697334707c495dc43f6582876257f4b16a3af84a719b38e8ed4ee8c26a82bf | MATLAB | 333 | 9 | function pobj=ea_load_electrode(recon_path,side)
d=load(recon_path);
pobj.elmodel=d.reco.electrode(side).dbs.elmodel;
pobj.color=d.reco.electrode(side).plan.color;
pobj.planRelative=d.reco.electrode(side).plan.planRelative;
pobj.target=d.reco.electrode(side).plan.target;
pobj.relateMicro=d.reco.electrode(side).micro.... |
0e4b06b3fcc8a333cb05b3bc3220c14fa33f498dbcea44ed7569ccc660b99d6b | MATLAB | 334 | 9 | classdef Container < matlab.ui.container.internal.UIContainer
%uix.Container Container base class
%
% uix.Container is base class for containers that extend uicontainer.
% Copyright 2009-2015 The MathWorks, Inc.
% $Revision: 1137 $ $Date: 2015-05-29 21:48:21 +0100 (Fri, 29 May 2015) $
... |
e983be1358631ebc278f24c5ac5e84865269162590249855577c939d1c8582f5 | MATLAB | 334 | 19 | function [N,nam] = namenodes(dims)
Nmaps = size( dims , 1 );
N = 0;
for i=1:Nmaps
N = N + prod( dims(i,:) );
end
nam = -1 * ones( [dims(1,:) Nmaps] );
curN = 0;
for i=1:Nmaps
for k=1:dims(i,2)
for j=1:dims(i,1)
nam(j,k,i) = curN;
curN = curN + 1;
end
... |
3db062a09a5e0c5e4e4ba3f42bbe721b53ceebbc29df761417f99d225a0d68c9 | MATLAB | 335 | 18 | function [ EKc_out , EKcw_out ] = subfun_disposalYeoFNData( EKc_raw )
EKc_out = [];
EKcw_out = [];
for i = 1:360
tmp = EKc_raw(EKc_raw(:,2)==i,1);
ttmp = [];
for k = 1:7
ttmp = [ttmp sum(tmp==k)];
end
[~,loc] = max(ttmp);
EKc_out = [EKc_out; loc];
EKcw_out = [EKcw_out; ttmp/sum(ttmp... |
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