sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
2793cc050c20fdf215bb5c5a8091f398b0b28daf0bb65686619d5aaa259af521 | MATLAB | 119 | 4 | function [cell ind] = removeEmptyCells(cell)
ind = ~cellfun('isempty',cell);
cell = cell(~cellfun('isempty',cell));
end |
3569604487b5a420879d8b94901af837d083b7aa9314d719f92096cc8e580931 | MATLAB | 119 | 4 | % Chapter 11: Interior-point methods
%
% log_utility_flow.m - Section 11.8.4: Network rate optimization
help Contents
|
a82bfd64e919b231ff02e581a927b567b4ea6db587615b5917d48792e0e0190c | MATLAB | 119 | 4 | function [m,b]=lineariz(average,top,buttom)
m = (top-buttom)/(max(average)-min(average));
b = top - m*max(average);
end |
64e98d4da0028bac5c513b4db49d91065f1602d0316de35fe513f3cd6ab29e4e | MATLAB | 125 | 11 | function s=pval_to_star(p)
if p<0.001
s='***';
elseif p<0.01
s='**';
elseif p<0.05
s='*';
else
s='';
end
end
|
328121d6159f69644e3b66df90be925c308870b2ab3a84347731ee4f4676fea4 | MATLAB | 126 | 6 | function res = myerf(x)
res = x;
idx = abs(imag(x))>eps;
res(idx) = erfi(imag(x(idx)))*1.i;
res(not(idx)) = erf(x(not(idx))); |
25aa2543f0e8b5ff210e82b5322e93c64fa88689a516ea055a56c5bef747c11b | MATLAB | 128 | 7 | function img=ea_createatlascheck(h,gf,options)
% options.d2=options.prefs.machine.d2;
%set(hf,'Position',[0,0,800,800]); |
7def88b17b0c57b7d5fd6c337dbe6b6b133f43437720d18cf9dc145a0127bf62 | MATLAB | 128 | 7 | N = 100;
parfor_progress(N);
parfor i=1:N
pause(rand); % Replace with real code
parfor_progress;
end
parfor_progress(0); |
2fd0bf04c390d891f60c97b66152e98551144a3ef960456b08033eff822f1d6b | MATLAB | 129 | 8 | function [Energy]=Sum_of_Squares(k)
len=length(k);
Energy=0;
temp=k-min(k);
for i=1:len
Energy=Energy+temp(i).*temp(i);
end
|
43757df31c5fc18a7884ff523dd5437a49861aa1d1b56d471b5d8e59648a9619 | MATLAB | 129 | 6 | function fibs=ea_discfibers_addjitter(fibs,jit)
for fib=1:length(fibs)
fibs{fib}=fibs{fib}+randn(size(fibs{fib}))*jit;
end
|
c6b6a4d59b4af2a352854eb6e7325a766f9d87d5334355b110d41a073bd97e88 | MATLAB | 129 | 6 | function [r,g,b,ii] = mygetrgb( img )
r = img(:,:,1);
g = img(:,:,2);
b = img(:,:,3);
ii = max(max(r,g),b);
|
e7a26886ed33a91e843c4534975a0618667e2f7179fa66c179bb5b42ef9ae984 | MATLAB | 131 | 3 | function CBIG_aaa()
% Written by [xxx] and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
end
|
5cea63b43b468f8d5261cb63863849687a5054f6cd271d5d18bb392eeb6854a5 | MATLAB | 133 | 6 | function fibs=ea_unifiedmapping_addjitter(fibs,jit)
for fib=1:length(fibs)
fibs{fib}=fibs{fib}+randn(size(fibs{fib}))*jit;
end
|
c1b50a8637a994833c69f14fefb176dfe6ebe14065afdbe960a593ac469d0bb3 | MATLAB | 133 | 5 | clearvars
clc
close all
fclose('all');
ea_explorer20('F:\ExampleData\derivatives\leadgroup\20200407121650\explorer\mytest.explorer'); |
62738827f3e75ce755e5cf056e63ec3e3cc71aded95a2f39e9e8d520575df65f | MATLAB | 135 | 6 | function [ y c] = dirPrior( p,x )
p(2) = 10.^(p(2));
y = p(2).*cos(circ_ang2rad(x)-circ_ang2rad(p(1)));
c = y;
y = exp(y)./(1+exp(y)); |
d1840f539e54dd7615a1ef4cfd03c7d8a55acf2dc8c1bc52a2b016bad8140064 | MATLAB | 135 | 6 | function start_display(ring,fig)
set(fig,'XData',(1:length(ring)),'YData',ring); axis([1,length(ring),-0.3,0.3])
drawnow
return
|
785ccb13e63c68f056f08689a705769f50ccb07a6942fb61e9ff983c5df80e7c | MATLAB | 136 | 3 | function show_imgnmap2( img , smap )
smap = mat2gray( imresize(smap,[size(img,1) size(img,2)]) );
imshow(heatmap_overlay( img , smap )); |
46b3acbcd53afc2c2bb20cb62d05038e2ea87b4b044fe2dcc2efed558d8988c6 | MATLAB | 140 | 10 | function cmd = histcmd()
fid = fopen([prefdir,'/history.m'],'rt');
while ~feof(fid)
last = fgetl(fid);
end
fclose(fid);
cmd = last;
end |
e36382cd9f874e33d9a419def2ed97558c33219888b1f3f8df56b6719a6befb8 | MATLAB | 141 | 6 | function start_display(ring,fig)
set(fig,'XData',(1:length(ring)),'YData',ring); axis([1,length(ring),-0.3,0.3])
drawnow
return
|
536bbce3b73313c67c14599ab82b8d0d91a120c6c82f8720a36a66af80f77c02 | MATLAB | 142 | 5 | function nl=newline()
% Newline character generator. This is a work-around for missing
%`newline` function prior Matlab 2016b.
nl=char(10);
|
e94ebf90832de4c51e4f867473d71d1a9962672ab9d74b19506875bf651bc96d | MATLAB | 142 | 3 | function CBIG_wo_MIT_license()
% Written by [xxx] and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
end
|
8924a5ff5aaccb908e5d6c289c37c2727c9d626e8fa9280d7d5c5e7ccfb9a6ff | MATLAB | 143 | 10 | function ret = fileexists(fname)
ret = false;
fi = fopen(fname);
if fi == -1,
return;
else
ret = true;
fclose(fi);
return;
end; |
07a2c9d54add55e747a427bdc473ea52a7438709f98798a458d9f2a230e5a354 | MATLAB | 145 | 6 | function scaledInput = scaleZeroToOne(input)
scaledInput = input-min(input(:));
scaledInput = scaledInput / max(input(:));
end |
5a4754b1ebc4c083f182ef1332dfa956f942fe6736478437a3452a34d0cdfd0c | MATLAB | 145 | 7 | function y=ea_pdist(varargin)
% if license('test','Statistics_Toolbox')
% y=pdist(varargin{:});
% else
y=octave_pdist(varargin{:});
%end |
bac3899ee9b2ba81d8cc40aa0744b6b540dce793f6ac0f94e1495b9260f3547c | MATLAB | 147 | 6 | function [ t ] = isempty( self )
% Returns whether the spike structure is empty
t = cellfun(@isempty,reshape({self.ts},size(self)));
end
|
08638752ad5cbd27fe52fb27b963f30eef082b9894e6fe159d618a91f766aeb6 | MATLAB | 148 | 6 | function sem = getSEM(data)
% calculates the standard error of the mean of data
% data must be a vector
sem = std(data)/sqrt(length(data)-1); |
b71c4f75b41776892af44198db0b1b5d6dee7c48295e849fc2eb6f95ee61c677 | MATLAB | 148 | 10 | function [ Output , explained ] = subfun_PCAtoPC( Input )
[coeff,score,latent,tsquared,explained,mu] = pca(Input);
Output = Input*coeff;
end
|
e60b5a0d6e1490647c37268ca3a9e2d773c0d616a42271659fb746170db61716 | MATLAB | 149 | 5 | function this = orderfields(this, vals);
for index = 1:length(this)
this(index).EEG = orderfields(this(index).EEG, vals);
end;
|
ae1d44ea712320e437e37ecfe11a9f342b395b283ddecc58ed149342fb9207b3 | MATLAB | 150 | 5 | function this = horzcat(varargin);
this = varargin{1};
for index = 2:length(varargin)
this.EEG(index) = varargin{index}.EEG;
end;
|
157d0eade32fc3f21c99044514ec4302979888fa50e58f50d24e12f4df1d45e7 | MATLAB | 152 | 4 | function CBIG_test_bbb()
% Written by [xxx] and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
CBIG_test_aaa()
end
|
3f4e49511256e004e353b87677e7a0893aad6cd12fa0ee665dbdb6e1a9f91ed7 | MATLAB | 152 | 9 | function r = drchrnd(a,n)
% Draw samples from Dirichlet distribution
p = length(a);
r = gamrnd(repmat(a,n,1),1,n,p);
r = r./repmat(sum(r,2),1,p);
end |
38ccd3c71d44bc21ab85e31e978197b07bf739033c054b3e331cff19a1f97933 | MATLAB | 154 | 4 | % simple dataset tests
p = fileparts(which('eeglab'));
EEG = pop_loadset('filename','eeglab_data_epochs_ica.set','filepath',fullfile(p, 'sample_data'));
|
62c3ba35f53ffd1c2e96ba31ca3be35a336bd9bd297655820efc6a6802a1da50 | MATLAB | 154 | 7 | % Add path to dependencies.
setup()
function setup()
root = fileparts(mfilename('fullpath'));
addpath(root);
addpath(genpath(root));
end |
8de5e8b9e9b42702a24a64d33491cfb0409f5e135645b1d51378ac10a7556e11 | MATLAB | 154 | 7 | % iseeglabdeployed - true for EEGLAB compile version and false otherwise
function val = iseeglabdeployed
try
val = isdeployed;
catch
val = 0;
end |
9f4ffb8daf9f32daa893cb6f13c2a17ccf338a07a717e872b1ee0ddb3e99b157 | MATLAB | 154 | 5 | function cmap = cmapSubpops()
% For the original 4 subpopulations
cmap = [[59, 133, 204];[75, 155, 119];[193 124 165];[219,162,65]];
cmap = cmap./256;
end |
16be8fcdbeb427d341df3e4fd4455d841945daf8c8bfe8b18cd3fc3a0b2e6638 | MATLAB | 155 | 6 | function [data] = bz_shuffleCircular(data)
% circularly shifts each row
for i=1:size(data,1)
data(i,:) = circshift(data(i,:),randi(size(data,2)));
end |
98ac128b889ecccc915a0b570dcaf7018e6a248256456bfcc9f1d4060b7e41da | MATLAB | 156 | 5 | function r = drchrnd(a,n)
% take a sample from a dirichlet distribution
p = length(a);
r = gamrnd(repmat(a,n,1),1,n,p);
r = r ./ repmat(sum(r,2),1,p);
|
3f0606313f77bf7c69f46fb2c9c47ba1ea2264e96e19b4213c236d7685ea8c2e | MATLAB | 159 | 6 | function [] = CompileMexFiles()
%Compiles mex files that accelerate B-spline evaluation
mex evalBin.c
mex evalBSpline.c
mex evalBinTimesY.c
end |
f49eccdc5085c21f3dd52e93c6c77f00f8b82d547dc7a5ef2f5d01f89b8dfbe1 | MATLAB | 159 | 12 | function [ b ] = isempty( self )
% Returns boolean of whether the session has cells
b = builtin('isempty',self);
if ~b
b=isempty(self.cells);
end
end
|
c901b608b4c6bda5f472fee6c14d55429f582c9cc48b55c25d23719fd5835f8d | MATLAB | 160 | 6 | function b = iscellnumeric(C)
% Return 1 if all elements of cell array are numeric
%
% Tim Mullen, 2011, SCCN/INC, UCSD
b = all(cellfun(@(x) isnumeric(x),C));
|
30fcf326548d9b487e5bb104ce1ca05c515f4b63211b140db06dd8fde248dbd3 | MATLAB | 161 | 9 | function z=lfknots(fit,varargin)
%
% very spartan version of the S lfknots function...
%
% Author: Catherine Loader.
z = fit.fit_points.fitted_values;
return;
|
ecdd5806ffa8f72165ad8abd9172d6ca9f8ab5ca02771924b4e736514777fa36 | MATLAB | 161 | 11 | function rimg = rankimg(img)
img = uint8(mat2gray(img)*255);
rimg = zeros(size(img));
img = img(:);
for i = 0 : 255
rimg( img == i ) = mean( img < i );
end |
f1b457549b4e8a6c36524f487d313d1e96255bbd51530acb96a3d05f2c852688 | MATLAB | 162 | 7 | function showscalebar(im, s)
[d1, d2] = size(im);
d3 = ceil(d1*0.05);
d4 = ceil(d2*0.05);
hold on, plot([d4 d4], d1-[d3, d3-1+s], 'color', 'm', 'linewidth', 2)
|
588e87dc65ccade3a4bf6f2569958bb3e9eca8ade02489db000b5ce479a30ad5 | MATLAB | 164 | 4 | function d_circle(x,y,r)
RGB = brewermap(9, 'Greys');
rectangle('Position',[x-r,y-r,2*r,2*r],'Curvature',[1,1],'linewidth',2,'Edgecolor',RGB(8,:)),axis equal
end |
78c54cec716857175de83c18185413d165d4921f86d7fa258888ff9c34b483b1 | MATLAB | 165 | 8 | function test_components
%%
msgid = 'matlab_bgl:test_components';
%% biconnected_components
load('../graphs/tarjan-biconn.mat');
[a C] = biconnected_components(A); |
72e2fd95563197e2ee563a56150935f4b8cfbf729701516d6ed7dd4be43a5bcb | MATLAB | 170 | 11 | function [] = kwx2spk(basename)
wav = h5read(kwx,'/channel_groups/1/waveforms_filtered');
spktimes = hdf5read(kwik, '/channel_groups/1/spikes/time_samples');
end
|
2bba0c0583140090522b2cf93ba9cc8e01cc959f3325e9deac1da8b6ed0eeaef | MATLAB | 172 | 12 | function h = hypnomap
%%
% Authors: Dan Denis
% Date: 2021-07-14
%%
h = [0.5 0.2 0
0.5 0.2 0.5
1 0 0
0.1 0.9 1
0.1 0.6 1
0.1 0.1 1
0.1 0 0.6];
|
bb541b920802210a1c7548f363c17727df8e3ee0ae8147c5af67cf5ddce51c3e | MATLAB | 174 | 5 | function obj = cloest_obj(data1, data2, tx, ty)
data1 = [data1(:,1)+tx data1(:,2)+ty];
distmap = pdist2(data1, data2);
obj = sum(min(distmap,[],1)) + sum(min(distmap,[],2)); |
64aa7f7ef6263626a5101f285096f0e53e6c05ead1d6924d6639b9ad6b3feb42 | MATLAB | 177 | 14 | function g=aic(varargin)
pen = 2.0;
fit = locfit(varargin{:});
rs = rsum(fit);
df0 = rs(1);
df1 = rs(2);
llk = rs(3);
ai = -2*llk + pen * df0;
g = [llk df0 df1 ai];
return;
|
750a0a7798984677def76e2641377ba49cec21185a838c8a6efcdd5ed3f147a2 | MATLAB | 179 | 8 | function termsOfUse
if verLessThan('matlab','8.5')
helpview([matlabroot,'/license.txt'])
else
helpview([matlabroot,'/license_agreement.txt'])
end
end
|
73b7109af4cf6c5286fff16f9d10a8d994c02a5f15816d09897aaf37cdf88f71 | MATLAB | 180 | 6 | % This function calls the Matlab rotate function
% This prevents the issue with the function in the private folder of Dipfit
function rotatematlab(varargin)
rotate(varargin{:});
|
44889fc4663f7d23bf22d8a90a3c9ff2da789b2c340eb338d67e8414016fa0e0 | MATLAB | 181 | 5 | function fnames=ea_getfslnormfuns
% this is a protocol of available FSL normalization function names. These
% will be used for non-SPM normalizations.
fnames={'ea_normalize_fsl'};
|
bbc41f45e959c27a71dcc9256247f812730531235d0888ad57eb401eae1335ee | MATLAB | 181 | 5 | function cmap = cmapSubpopsScatter()
% For the original 4 subpopulations, for scatter contrast
cmap = [[0, 115, 180];[5, 158, 116];[204 120 167];[230,159,39]];
cmap = cmap./256;
end |
0ad7626385051b5b2acb193ea1593cced65eed09cf06ae7d39e847e1afeb476f | MATLAB | 182 | 13 | function [A,tmp] = areaROC( p )
tmp = -1;
p = getBestRows(p);
xy = sortrows([p(:,2) p(:,1)]);
x = xy(:,1);
y = xy(:,2);
x = [ 0 ; x ; 1 ];
y = [ 0 ; y ; 1 ];
A = trapz( x , y );
|
ba88b013f34753c4377e522978ec226c74d56991648f562aecaef3f9dee1f1a4 | MATLAB | 182 | 9 | function obj=no_legend(obj)
% no_legend() remove side legend on the plot
%
% Useful when plotting multiple gramm objects with the same
% legend
obj.layout_options.legend=false;
end |
49762dd610ab7fce7e4ea7890a1b994b231057439f3b4854893b3e57f5ef1360 | MATLAB | 184 | 7 | % finish reweighted_graphs.m
% add more to test_main.m
% finish new_in_3_0.m
% finish matching_dmperm.m
% add root vertex to prim's algorithm
% check documentation for core_numbers
%
|
73ef8728533e3a4c91a01376a233a1cae44ff288c5f5cb3034825ffe7cc7d310 | MATLAB | 187 | 7 | % this function is called when the file is being saved
function obj = changefile(obj, newfile)
movefile(obj.dataFile, newfile);
obj.dataFile = newfile;
obj.writable = false; |
add94761fd4cb0f2bdefbcf9de687e91b8895df5b8e47ecf65c4c4dfec067b3d | MATLAB | 187 | 13 | function C = unpack(C)
% Unpack a nested cell array
for i = 1:size(C, 1)
for j = 1:size(C, 2)
if iscell(C{i, j})
C{i, j} = C{i, j}{:};
end
end
end
|
1c04e9b6acff7cd473a93ad69c1833d7ea89a09175e3a22943bd1798f888fd28 | MATLAB | 190 | 9 | function atlases=ea_atlasreducepatch(atlases,red)
for atl=1:length(atlases.names)
for side=1:2
atlases.roi{atl,side}.fv=reducepatch(atlases.roi{atl,side}.fv,red);
end
end
|
59d10cb381230cf68d4638980486a8336373e74e8d2d76706c0b4f6e553afb02 | MATLAB | 190 | 13 | % Builds and solves a simple least-squares problem using cvx
echo on
n = 100;
A = randn(2*n,n);
b = randn(2*n,1);
cvx_begin
variable x(n)
minimize( norm( A*x-b ) )
cvx_end
echo off
|
6e8b1855f1fa14930a8d3ed9b3cd9ae379c2d8ea2f59a296f3cfb6b606fe75cd | MATLAB | 190 | 9 | function ficell=ea_checknofilefolders(ficell,fname)
todel=[];
for fi=1:length(ficell)
if exist([ficell{fi},filesep,fname],'file')
todel=[todel,fi];
end
end
ficell(todel)=[]; |
7d070b2238e5e00f4e0911caa35d96313c9f5b9b6c403090890d0445a7747865 | MATLAB | 190 | 7 | % Written by [xxx] and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
addpath('ad/cds/');
addpath('xxxx/fsf/');
addpath /dadf/dafsf
rmpath('ad/cds/');
|
02ea00efaadeb87edf8dee2d3e6d9d4e500558a77afd6accf91995c3f14bfaa4 | MATLAB | 191 | 11 | function y = ea_nanmean(varargin)
if nargin==2
x=varargin{1};
dim=varargin{2};
elseif nargin==1
x=varargin{1};
dim=1;
end
N = sum(~isnan(x), dim);
y = ea_nansum(x, dim) ./ N; |
2a541de7a391017fa21ab5777c970223e57a0df31c8ba7ce0cd2e24f3502569b | MATLAB | 191 | 13 | function g=gcv(varargin)
fit = locfit(varargin{:});
rs = rsum(fit);
df0 = rs(1);
df1 = rs(2);
llk = rs(3);
n = size(fit.data.x,1);
gc = -2*n*llk/((n-df0)^2);
g = [llk df0 df1 gc];
return;
|
5bf02d9a58b742444c244066de0b0917813fba7c70f2f4424a7b204fc615ab10 | MATLAB | 191 | 10 | function sel=multi_sel(to_sel,value)
%Do a selection on the basis of string equality or numerical equality
if ischar(value)
sel=strcmp(to_sel,value);
else
sel=to_sel==value;
end
end |
e83b91f7d15d89106c7e54c999ba26ed9278f2fb46045416c472ee0e0443f563 | MATLAB | 191 | 9 | function ficell=ea_checknofilefolders(ficell,fname)
todel=[];
for fi=1:length(ficell)
if ~exist([ficell{fi},filesep,fname],'file')
todel=[todel,fi];
end
end
ficell(todel)=[]; |
0ac1814ad0dd787c03d193054bdf72a50420a920ad6e8ad42bc9ada08739b09a | MATLAB | 193 | 6 | function y = In
y = cvxin;
% 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.
|
2000e32a98a3e9883b983483a7c4b8eb82f76d4acb91af33532cc284a657d3c3 | MATLAB | 193 | 6 | function [ dev ] = dirPriorDev( p, y_emp, x )
%DIRPRIORDEV Summary of this function goes here
% Detailed explanation goes here
y_pred = dirPrior(p,x);
dev = nansum((y_emp(:)-y_pred(:)).^2);
|
f7cc6ecb5a728501581732764b199d5a6194c66e1a0a1bba0a094be59909bb68 | MATLAB | 194 | 6 | function fwrite_excepting(fid, data, type, filename)
count = fwrite(fid, data, type);
if count ~= numel(data)
error(['failed to write data to file "' filename '"']);
end
end
|
f7abaf48d5340da7dde4bac68eaa2584d3b4c5b74d2860696678c927e1a48458 | MATLAB | 195 | 9 | function display(ipa)
% INPLACE/DISPLAY Display an inplace array from the command line.
%
% Example:
% ipa = inplace(ones(5));
% ipa
disp([inputname(1), ' = ']);
disp(ipa.get_a()); |
1dbbe8615e89e1213925cd573e54124739843f90ca61f869db659c1b1e34e056 | MATLAB | 197 | 8 | % counts the number of self-loops in the graph
% INPUT: adjacency matrix
% OUTPUT: interger, number of self-loops
% Last Updated: GB, October 1, 2009
function sl=selfloops(adj)
sl=sum(diag(adj)); |
a013625285c555e2e8866300fc7659c8b858ab07e4e8259be24044a4e3e92be0 | MATLAB | 197 | 15 | segmentBlobs_locmax()
condColocPt2Pt2Pt()
condColocPt2Pt2Blob()
condColocGeneral()
runColocalizationAnalysisSimulation()
plotSaveConditionalColoc()
condColocStatTest()
plotCondColocPvalues() |
b9b21ef62c5c5e92ab5a256ad822632a14a7940f6748c563e635bfeb9f914513 | MATLAB | 197 | 8 | function separatePausedNSx(varargin)
% separatePausedNsx Obsoleted. Use splitNSxPauses instead.
disp('This function is obsoleted.')
disp('Use splitNSxPauses instead.');
splitNSxPauses; |
9869beda3ee68e6a0d8f83fbfe7850ae33363088357b301bb635d28348e5b38e | MATLAB | 198 | 9 | % Local Regression and Likelihood, Figure 3.1.
%
% Bivariate Local Regression.
load ethanol;
fit = locfit([E C],NOx,'alpha',0.5);
figure('Name','fig3_1: Bivariate local Regression');
lfplot(fit);
|
ef46d2a8b2f31c8245157b188806f8d2033d0b7aec2a500c5567bcc126f346b4 | MATLAB | 198 | 10 | function vernum = get_matlab_version
ab = version;
dot = findstr(ab, '.');
a = ab(1:dot(1)-1);
b = ab(dot(1)+1:dot(2)-1);
vernum = str2num(a)*1000+str2num(b);
return;
|
a5d264e1b18063ab11febc56717b9573da2577a9b6e00abf10b7f121c56425dd | MATLAB | 199 | 11 | function [ Query , ni ] = tokenize( inputquery )
s = inputquery;
ni = 0;
while length( s ) > 0
[token, rem] = strtok(s);
ni = ni + 1;
Query{ ni } = token;
s = rem;
end |
b8e619edf8417312b0380fa9db7703b0c253744fd6b83dc0abfb941da2206753 | MATLAB | 199 | 6 | function x = rhs( y )
x = y.rhs;
% 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.
|
93662f17247c1d60bdf05c18ebbd12054bfc99ff9a358f386e44edac00dd9313 | MATLAB | 200 | 7 | function stats=ea_centroid(bw)
% small replacement for the regionprops function (centroid only) which
% requires the image processing toolbox.
[xx,yy]=find(bw);
xy=[yy,xx];
stats.Centroid=mean(xy,1); |
146f1db5a43fefc5786d3b0db7e9b873eee2b0f7d580de6adbf634d8712a4b5e | MATLAB | 201 | 12 | function refreshdisp(str,prevstr,iteration)
if ~exist('iteration','var')
iteration=2;
end
if iteration==1
fprintf(str)
else
fprintf(char(8*ones(1,length(prevstr))));
fprintf(str);
end |
354849cc095f32ad32d8e6bc5e48cf5096e9f5266be7863ee76291ba40536ca4 | MATLAB | 201 | 5 | function [cfg, def] = cfg_mlbatch_appcfg
% Auto-configuration file for batch system. cfg_util will scan the MATLAB
% path for cfg_mlbatch_appcfg files and evaluate all of them.
cfg = dti_cfg;
def = []; |
4e26215c61b936bc89699e2a8b8fe37af0997609ae25cf9d1d2deb0943def8e3 | MATLAB | 201 | 14 | % FileExists(FileName)
%
% returns 1 if the file exists, 0 otherwise
function exists = FileExists_ss(FileName)
fp = fopen(FileName, 'r');
if (fp==-1)
exists = 0;
else
fclose(fp);
exists = 1;
end; |
832ca7a7a25a4bce630ba4749e18257ef8dea46adf43589f4e5fe66162d7018a | MATLAB | 201 | 6 | function y = cvx_id( x )
y = x.id_;
% 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.
|
17642c6dfdee197dc1c7e4b07279af3dcf0f5f1ad4f6e1b76028a9207d6e4ba8 | MATLAB | 202 | 6 | function y = name( x )
y = x.name_;
% 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.
|
485b4d5dcd86b4640138f628d20197debfa42e76fc34a15614cb4fdcba11fe9d | MATLAB | 202 | 25 | function runningOctave = isOctave()
% Returns whether this code has been run using Octave or MATLAB
try
OCTAVE_VERSION;
runningOctave = 1;
catch
runningOctave = 0;
end
|
d430a8d1bdf80193c2551e36b5e3d867597deccb07e10825ebd620b6f06f1e90 | MATLAB | 202 | 8 | % Local Regression and Likelihood, Figure 2.2.
%
% Using different smoothing parameters.
load ethanol;
fit = locfit(E,NOx,'alpha',0.5);
figure('Name', 'figure2_2: Smoothing parameters' );
lfplot(fit);
|
d1c42abb6f16517575fabb93a96167c4a895120eb79ca30e0335d574726c459f | MATLAB | 203 | 5 | function plot_head_dir(self)
% Plots the head direction vector on the current axis
line(CMBHOME.Utils.ContinuizeEpochs(self.ts), CMBHOME.Utils.ContinuizeEpochs(self.headdir), 'Color', 'k');
end
|
0e29411adf1b13bf9ceb4cb1cc150b792f108d86cb5cd830e3a324fe31a87249 | MATLAB | 204 | 10 | function [ outputD ] = subfun_merge_bil2uni( inputD )
if size(inputD,2)>1
outputD = (inputD(:,1:end/2)+inputD(:,end/2+1:end))/2;
else
outputD = (inputD(1:end/2)+inputD(end/2+1:end))/2;
end
end
|
6e50f90b90d18a9c0d90b389c4aab4ecdec9465c0b96bc1e30e9517fde6dc60a | MATLAB | 204 | 6 | function y = cvx_getdual( x )
y = [];
% 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.
|
0852ce11571c498efc4b334975c458666e710e5b45083f66c4ac79c18824ab7c | MATLAB | 206 | 6 | function v = cvx_value( x )
v = x;
% 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.
|
281f23e8f64f20994418e14cd029f9c939759065c8be7d58af04fc59c95cf273 | MATLAB | 207 | 6 | function y = cvx_basis( x )
y = x.basis_;
% 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.
|
c2977e366a5a459cc31b4e54d4120d8df6a74389fa4044d459c9a781c60b2fd9 | MATLAB | 207 | 6 | function z = ne( x, y )
z = ~eq( x, y );
% 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.
|
9be973567c4b26c85bb8a31e0f0e40e4adfc4bf84e4a0ef01942c53b2592b49a | MATLAB | 208 | 5 | % Example from <a href="http://stanford.edu/~boyd/papers/l1_trend_filter.html">l1 Trend Filtering</a>
%
% l1_trend_filter_snp500.m - l1 trend filtering
% snp500.txt - (no title)
help Contents
|
b9ee12a136281ccb50a0e472e6dc1be2c976aacb5ddc86814bfb8b8d9c51d3d8 | MATLAB | 208 | 6 | function z = cvx_getdual( x )
z = x.dual_;
% 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.
|
cfb9539ecf45373c003a856c1e0a953ff399c444e4bfcc429edac5ebfc8177f3 | MATLAB | 208 | 6 | function x = cvx_getdual( x )
x = x.dual_;
% 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.
|
23b2f0ef2bec16e779d85c6e3a3d4cef06c61bdacfcf1d03b4f21fcd96f63d9b | MATLAB | 209 | 11 | function k = mygausskernel( std , nstds )
maxi = round(std * nstds);
a = [ normpdf(0,0,std) zeros(1,maxi) ];
for i = 1 : maxi
a(1+i) = normpdf( i , 0 , std );
end
k = [ a(end:-1:2) a ];
k = k / sum(k);
|
e0295fda9ff0dcca95773bfb70990a91f25a690ab1d1f684260d3fe6b88cec8d | MATLAB | 209 | 6 | function v = cvx_value( x )
v = value( x );
% 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.
|
fb212b133c038cb940e4164bdb400bf980d5fdba5fe5523e355667dfdcad927f | MATLAB | 209 | 6 | function y = inuse( x )
y = ~isempty( x );
% 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.
|
2f39dcbf8121a7de79e857b6fcc6c98c0e10a4892bbbf9f55d391641e4525959 | MATLAB | 210 | 6 | function y = index( x )
y = x.index_;
% 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.
|
9f6c432d9bd7b4a8410478cf5daf09bea48cda9034792c6c80ee90e74f0c5888 | MATLAB | 210 | 13 | function y = fitted(fit)
% Fitted values from a locfit object.
%
% Input arguments:
% fit - the locfit() fit.
%
% Author: Catherine Loader.
z = predict(fit,'d','restyp','fit');
y = backtr(z,fit);
return;
|
f3b81db0e7c22f32db868dc9b9d155c66a4723c85defaf7d5c62544669e6632f | MATLAB | 210 | 12 | import client.EEGLABChat;
import client.VisualToolbar;
import java.awt.*;
import javax.swing.*;
tb = VisualToolbar();
F = gcf;
tb.setPreferredSize(Dimension(0, 75));
javacomponent(tb,'South',F);
refresh(F);
|
2103af4e1cc71b64488df2aee3eff5baf3ce27182861b448887aaddf21d73fdc | MATLAB | 211 | 6 | function y = cvx_id( x ) %#ok
y = -Inf;
% 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.
|
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