sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
ccb665a1dafb664917bfd33e6312d64b9284ec0e300c55c8757416c18310d69a | MATLAB | 260 | 7 | function structName_avgWinProb = CBIG_sortByAvgProbWinningFactor(label_structName_avgWinProb)
avgWinProb = cell2mat(label_structName_avgWinProb(:, 3));
[~, ind] = sort(avgWinProb, 'descend');
structName_avgWinProb = label_structName_avgWinProb(ind, [2 3]);
|
fd6dc13718d90ce097506377fa696489416f143be29a174866bb3f2d477ca813 | MATLAB | 260 | 12 | function listing = dir_without_dots(varargin)
if nargin == 0
inputFolder = pwd;
elseif nargin == 1
inputFolder = varargin{1};
else
error('Too many input arguments.')
end
listing = dir(inputFolder);
listing(startsWith({listing.name}', '.')) = [];
|
5e00af615e03750bb51e03954fc2142186531f96e92b1bc4a55d20640dea25d2 | MATLAB | 261 | 7 | % SPIKES
%
% Files
% GetSNR - it would be nice to write something like this for the new file format....?
% IsolationDistance - IsolDist = IsolationDistance(Fet, ClusterSpikes, m)
% L_Ratio - [L, Lratio] = L_Ratio(Fet, ClusterSpikes)
|
9004978efe7e1380fabe98bfd866cdebb82f68dbbec55041425228d6c636a44d | MATLAB | 262 | 7 | function y = subsref( x, S, cheat )
global cvx___
y = subsref( cvx___.problems( x.index_ ), S );
% 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.
|
e9eba86d3d44edd8712f39722c5edb328af4ddc0c67bb94ac80a27937a9f5e2e | MATLAB | 262 | 6 | function x = cvx_collapse( x, keeptemp, tocell )
x = cvx_collapse( x.value_, keeptemp, tocell );
% 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.
|
0deb5c91b11d4434bb3654d427c0416c6f2d786cbe9dcbc6bb1fb336494b8ad6 | MATLAB | 265 | 7 | function circularfit
fmodel = fittype('a*exp(kappa*(cos(x-mu)-1) ) / (2*pi*besseli(0,kappa,1))',...
'independent', 'x');
xx = min(abs(mu-x), mu+2*pi-x);
y = exp(-xx.^2/(2*1^2));
figure, plot(x, y)
[fitobject1, gof1] = fit(x', y', fmodel, 'Startpoint', [1,1,1]); |
2917e5e8a1f900dfd4f9344064210a3b889e49fb1bddb98ca3dd9aa44066c51a | MATLAB | 265 | 9 | % Local Regression and Likelihood, Figure 4.4.
% Author: Catherine Loader
%
% AIC plot for a local poisson regression.
load mine;
a = (0.4:0.05:1)';
figure('Name','fig4_4: AIC plot for local poisson regression' );
aicplot(a,extrp,frac,'family','poisson','deg',1);
|
44997fa83b26212cd356feba143b22200919d76253c4c264457d96580b5d4d0f | MATLAB | 265 | 11 | function roi=ea_struct2roi(s,resultfig,ht)
s.plotFigureH=resultfig;
s.htH=ht;
roi=ea_roi;
props = fieldnames(s);
for p = 1:numel(props)
if ~ismember(props{p},{'controlH','plotFigureH','patchH','toggleH','htH'})
roi.(props{p})=s.(props{p});
end
end
|
6a341c85172e67ab15719e58eafcddab455bc1571dc5b0261d7a5d981fcae3c6 | MATLAB | 265 | 10 | % Local Regression and Likelihood, Figure 4.1.
% Author: Catherine Loader
%
% Local Likelihood (Poisson Regression).
load mine;
fit = locfit(extrp,frac,'family','poisson','deg',1,'alpha',0.6);
figure('Name','fig4_1: Poisson Regression');
lfplot(fit);
lfband(fit);
|
93ae103c1204efdff28cd1a6c30cf72e076d09425d31bcceb0023d731391a7e5 | MATLAB | 265 | 11 | % Local Regression and Likelihood, Figure 9.1.
%
% Hardle's Motorcycle accelaration dataset. Just a scatterplot!
%
% Author: Catherine Loader
load mcyc;
figure('Name','fig9_1: motorcycle scatterplot');
plot(time,accel,'.');
xlabel('Time');
ylabel('Acceleration');
|
9e34c000d0b4626ad1d42240f464764fe090b4af5a9b234fcf31574fc6ef435a | MATLAB | 265 | 10 | % DECOMMENT remove comment from a single line
%
% DECOMMENT('# this is a comment') returns ''.
%
% DECOMMENT('key = "value" # comment') returns 'key = "value"'.
function out = decomment(in)
all_parts = splitby(in, '#', {'"', ''''});
out = all_parts{1};
end |
a467b1dc1d8fc213adc690d5e600fd665d720f92e8df23899562ec95eee6e0e8 | MATLAB | 265 | 9 | function y = var( varargin )
%STD Internal cvx version.
y = square_pos( std( 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 located.
|
a87a7391922e2b2170cebd2924f889700aab98fb65e314df16ea55c3f7ead2d4 | MATLAB | 266 | 7 | function y = cvxaff( x )
global cvx___
y = subsref( cvx___.problems( x.problem_ ).duals, 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.
|
9ab139db3b2aadb722031c1f9b6ae794af1fea9508eb16176c0762413c87e743 | MATLAB | 267 | 10 | function X = poly_detrend_cols(X, degree)
%NIRSPROC.POLY_DETREND_COLS Column-wise polynomial detrend.
% X = POLY_DETREND_COLS(X, degree)
t = (1:size(X,1))';
for k=1:size(X,2)
pc = polyfit(t, X(:,k), degree);
X(:,k) = X(:,k) - polyval(pc, t);
end
end
|
75fd2eb40c7490c8390ee9e37ffce1f6e3eba0b69efc3187e650bb78ba0b1fe2 | MATLAB | 268 | 15 | function [ a ] = cell2mat2( b )
% cell2mat, but rotates vectors where 90* off
if iscell(b)
if ~(all(cellfun(@(x)size(x,1),b)==size(b,1))||all(cellfun(@(x)size(x,2),b)==size(b,2)))
b = b';
end
a=cell2mat(b);
else
a=b;
end
end
|
8911e112f92264e4178f1390ed3d5288abc9684405d57fda97bf7df05cb10efe | MATLAB | 268 | 7 | function disp( x, prefix ) %#ok
if nargin < 2, prefix = ''; end
disp( [ prefix, 'cvx base object' ] );
% 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.
|
898bd3392a365be3a9142eb8787ed44830748dc0871bc9d85176433a0b4fdaeb | MATLAB | 268 | 8 | function fig = configureFigureToPDF(fig,figName)
setOpts = {fig,'RendererMode','manual','Renderer','painters',...
'PaperOrientation','landscape','Color',[1,1,1]};
if exist('figName','var')
setOpts = cat(2,setOpts,{'Name',figName});
end
set(setOpts{:});
end |
b01966a0ddce4b40ded6d6edd5a18b8c7bead5d50f3012e48e856935764eca4a | MATLAB | 268 | 7 | function y = cvx_value( x )
global cvx___
y = cellfun( @cvx_value, x, 'UniformOutput', false );
% 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.
|
d7889b1f790f4ff68a30a0c90f66569cdd97da50bc495dfa203f92bbc7be262d | MATLAB | 268 | 16 | function nx=ea_vecnorm(x,p)
% Vector / matrix norm.
% This is a work-around for missing `vecnorm` function prior Matlab 2017b.
if nargin<2
p=2;
end
if isvector(x)
nx=norm(x,p);
else
nx=x;
for i=1:size(x,2)
nx(:,i)=norm(x(:,i),p);
end
end
|
ea4a8454e7e61c03a9e11956983f87ed719031c22218b1c8ca8951d6c5463253 | MATLAB | 268 | 8 | function ret = myendswith(string, ending)
%endsWith needs java, but we only need one string+pattern at a time...
if length(ending) > length(string)
ret = false;
else
ret = strcmp(string((end - length(ending) + 1):end), ending);
end
end
|
fadc519bc8ed9f81e71255cd04d6567fc87fa861b7e7a42b9f453751c4bc1f28 | MATLAB | 268 | 9 | [nvar, names, types] = nex_info('test.nex');
[n, ts] = nex_ts('test.nex', 'neuron1');
[adfreq, n, ts, fn, d] = nex_cont('test.nex', 'continuous1');
[adfreq, n, ts, nf, w] = nex_wf('test.nex', 'wave1');
[n, nm, nl, ts, names, m] = nex_marker('test.nex', 'marker1'); |
24fa3925b9a8895f1f4846799c173a7313d226df8e86beb01acc8b9f2fc5d8e9 | MATLAB | 269 | 11 | function ip=subsasgn(ip,S,B)
% INPLACE/SUBSASGN Support Matlab subscript assignment
%
% This function supports subscript assignment just like Matlab matrices.
%
% Example:
% ipa = inplace(cumsum(ones(5,1)));
% ipa([2 4]) = 1;
% ipa
ip.subsasgn(S,B); |
51f7a0dbf062958d45dcce3fab1acf37dbaa93a118eb68579e0fea2dc3ade14f | MATLAB | 269 | 13 | function data = gaus_smooth(times, range, sigma) %¸ß˹ƽ»¬
number_of_times = length(times);
data = zeros(size(range));
for i = 1:number_of_times
data = gaussmf(range,[sigma, times(i)]) + data;
end
data = data/(sigma*(pi*2)^0.5);
|
616f820683f5565a43acae1bde3b4e3de5142a229e3342a9b4385d52f9da225f | MATLAB | 269 | 8 | function y = cvx_subsref( x, varargin )
temp.type = '()';
temp.subs = varargin;
y = subsref( x, temp );
% 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.
|
631d4ad9062cb0c249dade937034c9ca7d52ffa87581bac8f3da67563791edcf | MATLAB | 269 | 12 | function out = ndims(fa)
% Number of dimensions
%_______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: ndims.m 1143 2008-02-07 19:33:33Z spm $
out = size(fa);
out = length(out);
|
8a3a6f7101f65fbcb2f7a135770bc6e51dafd8f2832cf0e19465ecdad7a4f08c | MATLAB | 269 | 14 | function calcRadius4rtst(im,maskim,rang)
arange=[-20:2:20];
for mm=1:length(arange),
tst(mm)=calcRadius4(im,maskim,rang+arange(mm));
tstr1(mm)=tst(mm).D(1);
tstr2(mm)=tst(mm).D(2);
end;
subplot(211)
plot(rang+arange,tstr1)
subplot(212)
plot(rang+arange,tstr2)
|
b34834210413edaeb515cc52ed27d79bfc87fbaaf45a65edda4f2965b16bf0d9 | MATLAB | 269 | 11 | function ipi = ipint32(a)
% IPDOUBLE Create a int32 type that supports inplace modification
% ipi = ipint32(v) creates an inplace int32 object from any int32
% matrix v.
%
% Example:
% ipd = ipint32(ones(5));
ip = inplace(a);
ipi = class(struct([]),'ipint32',ip);
|
0208041f924fc6f0452e8d99b28e2d847f53469908341aede23e25c034d603d4 | MATLAB | 270 | 6 | function x = subsasgn( x, S, y )
error( 'Subscripted assignment not allowed for these objects.' );
% 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.
|
13dca6bdac7fc1780f9e1c3e2c90130d8866b4b7aefd1e5930a8cd7a8412b129 | MATLAB | 270 | 6 | function x = subsasgn( x, S, y )
error( 'Subscripted assignment not allowed for cvx problem objects.' );
% 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.
|
7c88dee9a792b930854e31411d1a8488602cedb95208feaf626375ce6fa92ba7 | MATLAB | 270 | 9 | 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.
if exist('spm.m','file')
cfg = impexp_cfg_NiftiMrStruct;
else
cfg = [];
end
def = []; |
f09b4d504c9de339353162fe1daae1af8d29242e61706da97b2a2c0fff55adc6 | MATLAB | 270 | 12 | function corr_pval=vassarp(vector_r,num_cells)
%corr_pval=vassarp(vector_r,num_cells)
% 2017 A.Leo
tdist=nan(length(vector_r),1);
corr_pval=nan(length(vector_r),1);
tdist=vector_r./(sqrt(((1-(vector_r.^2))./(num_cells-2))));
corr_pval=1-tcdf(tdist,num_cells-1);
end
|
1255c834c34c26aca0bd94a8b8a13aeabc3eb782bf3a0673689a107766b9a321 | MATLAB | 271 | 11 | function cmap = cmapAreas5()
% Manually chosen colors for area-specific plots from SGK25
% Scale colorcet map values so they are more distinguishable
cmap = [[60 115 146];
[64 155 146];
[127 174 112];
[192 163 91];
[246 142 109]];
cmap = cmap ./ 256;
end |
13897a664f75bccfe94c8414a6679e896e458dfee190cc987e912834bb133627 | MATLAB | 271 | 7 | function [dOD_760, dOD_850] = split_wavelengths(dOD_hp, wl_idx)
%NIRSPROC.SPLIT_WAVELENGTHS Split ΔOD columns into 760 and 850 blocks.
% [dOD_760, dOD_850] = SPLIT_WAVELENGTHS(dOD_hp, wl_idx)
dOD_760 = dOD_hp(:, wl_idx==1);
dOD_850 = dOD_hp(:, wl_idx==2);
end
|
151d8618e570f712f871c25fd8ede3a5b88d854bdfa15c9c4f499a22d50efea5 | MATLAB | 271 | 10 | function y = pow_p( x, p )
%POW_P Internal cvx version.
narginchk(2,2);
y = pow_cvx( x, p, 'pow_p' );
% 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.
|
49a01bac972f11379e203a7f17ab56a90dcc0a2611ebbadd7a698ed53186ae1d | MATLAB | 271 | 14 | function out=select_aes(aes,sel)
%Extract a logical selection out of an aes structure
fields=fieldnames(aes);
for k=1:length(fields)
if isempty(aes.(fields{k}))
out.(fields{k})=[];
else
out.(fields{k})=aes.(fields{k})(sel);
end
end
end
|
1b06b2ab066acb7e139a8dd8b957db6c619e8f618b40135e3f229b8ea82a25be | MATLAB | 274 | 9 | % Local Regression and Likelihood, Figure 4.4.
% Author: Catherine Loader
%
% AIC plot for a local poisson regression.
load mine;
a = (0.4:0.05:1)';
figure('Name','fig4_4: AIC plot for local poisson regression' );
aicplot(a,extrp,frac,'family','poisson','deg',1);
|
5df152672e3b40576421e1e9d9222bee64f70ba8af37c2276ee69732a40f9bde | MATLAB | 275 | 13 | function s=ea_roi2struct(obj)
props = properties(obj);
for p = 1:numel(props)
if ~ismember(props{p},{'controlH','plotFigureH','patchH','toggleH','htH'})
s.(props{p})=obj.(props{p});
else
s.(props{p})=[];
end
end
if ~exist('s','var')
s=[];
end |
3153ef830dd82ff170178f244a928181d4753c74c1c49e168f8da1457dc1b11f | MATLAB | 276 | 8 | function result=ea_mahalanobis_cov(x,val)
% This function is the same as ea_mahalanobis but only optimized for a
% specific input. It is called from ea_mcdcov
%
% Is is equal to ea_mahalanobis(x,[0; 0],'cov',val) with size(val) = [2 1]
result=sum(x*pinv(diag(val)).*x,2)';
|
3da1f9983405a47cbca0c116fc2976f1ba3deab33817daa36187994fd8643ee7 | MATLAB | 276 | 11 | function ipd = ipdouble(a)
% IPDOUBLE Create a double type that supports inplace modification
% ipd = ipdouble(v) creates an inplace double object from any double
% matrix v.
%
% Example:
% ipd = ipdouble(ones(5));
ip = inplace(a);
ipd = class(struct([]),'ipdouble',ip);
|
3fcb8e8309bd11d207445ec1f3dc6a09f5b637d53962bce10ff727966af7127c | MATLAB | 276 | 9 | [nvar, names, types] = nex_info('test.nex');
[n, ts] = nex_ts('test.nex', 'neuron1');
[adfreq, n, ts, fn, d] = nex_cont('test.nex', 'continuous1');
[adfreq, n, ts, nf, w] = nex_wf('test.nex', 'wave1');
[n, nm, nl, ts, names, m] = nex_marker('test.nex', 'marker1'); |
414167595a1a5b8561b0d64efbbbc4a0b0f8319e450088920468ea65a296ce36 | MATLAB | 276 | 19 | function Ihat=ea_getlookup_improvement(ptvta,othervta,otherI,exponent)
if ~exist('exponent','var')
exponent=1;
end
weights=sum(othervta.*repmat(ptvta,size(othervta,1),1),2);
weights=(weights).^exponent;
weights=weights./sum(weights);
Ihat=sum(otherI.*weights);
|
93b97e20761144f645445b27d3512b1b11753cc5f4560de94acdecb1191706b5 | MATLAB | 276 | 12 | function folder = layoutDocRoot()
%layoutDocRoot Return the location of the GUI Layout Toolbox documentation.
%
% folder = layoutDocRoot()
%
% See also: layoutRoot
% Copyright 2014 The MathWorks, Inc.
folder = fileparts( mfilename( 'fullpath' ) );
end % layoutDocRoot |
6f04e4977ee9a9d025089eb67188aed5c60515103081b8ea6afb0fee212d84fc | MATLAB | 277 | 10 | function attrs = myattrs(tree, varargin)
uid = root(tree);
if ~isempty(varargin)
uid = varargin{1};
end
attrs = attributes(tree, 'get', uid);
if ~iscell(attrs)
attrs = {attrs}; % treat one attribute just like multiple attributes
end
end
|
8217f068993114149e960c7d6633f658277f4e8faa3add60cd41dfba6a790336 | MATLAB | 277 | 13 | function obj = set_stat_options( obj , varargin )
% set_line_options Set statistics options
p=inputParser;
my_addParameter(p, 'alpha', 0.05 );
my_addParameter(p, 'nboot', 200 );
parse(p,varargin{:});
for obj_ind=1:numel(obj)
obj(obj_ind).stat_options=p.Results;
end
end
|
f104ba69a1ac9a101f683ee39298c8cccbc0baa26dda4c23e7dc03126ff42915 | MATLAB | 277 | 12 | function Cont=Contingency(Mem1,Mem2)
if nargin < 2 | min(size(Mem1)) > 1 | min(size(Mem2)) > 1
error('Contingency: Requires two vector arguments')
return
end
Cont=zeros(max(Mem1),max(Mem2));
for i = 1:length(Mem1);
Cont(Mem1(i),Mem2(i))=Cont(Mem1(i),Mem2(i))+1;
end |
f2062d20f68e7b5f0411cc79009c686568bf97bdf25c485b2790b7c76eb90d17 | MATLAB | 277 | 13 | function MUAMap(pos,nShanks)
for ii=1:nShanks
spikesii=GetSpikeTimes([ii -1]);
[map,stats]=FiringMap(pos,spikesii,'smooth',1,'nBins',[200 100]);
subplot(7,3,ii)
PlotColorMap(map.rate,map.time)
set(gca,'YDir','Reverse')
clim([0 35])
xlabel([int2str(ii)]);
end
|
0f10b7953015551e3ea97d12479bd336e9e675b23ec04f29491eab2fc00f3073 | MATLAB | 278 | 19 | % Builds and solves a simple inequality-constrained linear program
echo on
n = 10;
A = randn(2*n,n);
b = randn(2*n,1);
c = randn(n,1);
d = randn;
cvx_begin
variable x(n)
dual variables y z
minimize( c' * x + d )
subject to
y : A * x <= b;
cvx_end
echo off
|
53d8b6c2b647294084a8e9d7e2544fbe1ee670fe8b9d3312840d097a40e878aa | MATLAB | 278 | 20 | % Builds and solves a simple linear program
echo on
n = 100;
A = randn(0.5*n,n);
b = randn(0.5*n,1);
c = randn(n,1);
d = randn;
cvx_begin
variable x(n)
dual variables y z
minimize( c' * x + d )
subject to
y : A * x == b;
z : x >= 0;
cvx_end
echo off
|
b00ab55c3f6fa0231c5b90987be579586fd20b91ca37ab1a0a689692d3053a14 | MATLAB | 278 | 19 | function ret = fileexists(fname)
if iscell(fname),
ret = true;
for k = 1:length(fname),
ret = ret && fileexists(fname{k});
end;
return ;
end;
ret = false;
fi = fopen(fname);
if fi == -1,
return;
else
ret = true;
fclose(fi);
return;
end; |
3bbba4c641f68b97bf193c05b69614b07d1f74ba86131880352d4f710808f53a | MATLAB | 279 | 11 | function alpha = circ_rad2ang(alpha)
% alpha = circ-rad2ang(alpha)
% converts values in radians to values in degree
%
% Circular Statistics Toolbox for Matlab
% By Philipp Berens, 2009
% berens@tuebingen.mpg.de - www.kyb.mpg.de/~berens/circStat.html
alpha = alpha / pi *180; |
3bd5dee476aa31d270fed4cfdc90c981bc07b327ba2aba676710037a01b5465f | MATLAB | 279 | 14 | function y=ring(inmat,x0,y0,wx,wy,ang,rrw)
% Usage ... y=ring(inmat,x0,y0,wx,wy,ang,rrw)
if length(rrw)==1, rrw=[rrw rrw]; end;
tmp1=ellipse(inmat,x0,y0,wx+rrw(1),wy+rr(2),ang,1);
tmp2=ellipse(inmat,x0,y0,wx,wy,ang,1);
y=tmp1-tmp2;
if nargout==0,
show(y),
clear y
end;
|
4144285eb683615ef607a1c2d72db6285086e228fa8042673e66460c668e704f | MATLAB | 279 | 9 | function [norm] = normforbump(data)
% data is the first output of concat_dFF (aka 'hdb' or something)
norm = {};
for w = 1:length(data)
s{w} = sum(data{w},2); % sum intensity across columns (= AUC)
norm{w} = data{w}./s{w}; % divide every column value by AUC
end |
64a64e87be07d0b7f088c54f0ea299460bd196a514093326a33a3f21ff9be9a3 | MATLAB | 279 | 12 | function angles = normalizeAngles(angles)
sel = find(angles>=180);
while ~isempty(sel)
angles(sel) = angles(sel)-360;
sel = find(angles>=180);
end
sel = find(angles<-180);
while ~isempty(sel)
angles(sel) = 360+angles(sel);
sel = find(angles<-180);
end |
a21b6b62ba189a3aacaf8d844a5b4f2c91aa3f0ef8e6ca5496dd145ae9cab287 | MATLAB | 279 | 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
alpha = alpha * pi /180; |
a8a319fffc62c77c36f45bc613218f58df23bd937fd4ef6fd34d39a75cfb2923 | MATLAB | 279 | 10 | function [gauss] = Gauss(x,mu,s)
%Gauss(x,mu,s) returns a normalized gaussian with mean mu and standard
%deviation s
p1 = -.5 * ((x - mu)/s) .^ 2; %Term in the exponent
p2 = (s * sqrt(2*pi)); %Normalization
gauss = exp(p1) ./ p2; %Put it all together!
end |
305e6d5b7d66ae7872b81405667d1ac7281922d60306d29be92ce7b29a30d015 | MATLAB | 281 | 11 | function l = length(x)
% Overloaded length function for file_array objects
% _______________________________________________________________________
% Copyright (C) 2008 Wellcome Trust Centre for Neuroimaging
%
% $Id: length.m 1143 2008-02-07 19:33:33Z spm $
l = max(size(x));
|
6536aa64f9b5e6aaff0c83b35846e73d00353bd454193e9c9a32ef4888a526b8 | MATLAB | 281 | 13 | function bz_PreprocessExtracellEphysAnimal(basepath)
if ~exist('basepath','var')
basepath = cd;
elseif isempty(basepath)
basepath = cd;
end
%% Assuiming one already did bz_SetAnimalMetadata
bz_RunAnimalMetadata(basepath);
%% making an xml if needed
bz_MakeXML(basepath)
|
c7d081f673a3e815a1d5519c2d288ca3b6f719f3149bfb4981e841ded0a1059e | MATLAB | 281 | 8 | function a = gt( x, y )
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.
|
d4f832f0963a3cb6d229279c35f1edf9a81c6e7c89575f1cc2574a442cbef9fc | MATLAB | 281 | 8 | function a = lt( x, y )
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.
|
2216e1a951ae380bcbd82ac6790e840a765038923fec78a42a97cd78ec81bdda | MATLAB | 282 | 8 | function a = ge( x, y )
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.
|
294866c090cfb0ebc4e04302cdb9af9a1927f040947a2df020fcabfffb1091fa | MATLAB | 282 | 11 | function pnew = getBestRows( p )
% given collection of p = [ a b ; a1 b1 ; a2 b2 .. ]
% trims out instances where bi = bj , choosing row with maximum a.
bs = unique(p(:,2));
Nbs = length(bs);
pnew = zeros(Nbs,2);
for i=1:Nbs,
pnew(i,:) = [ max(p(p(:,2)==bs(i),1)) bs(i) ];
end |
64ff1fee4ee29e29bcb935ba79228bade0d4a5c68e8f3967a92fe719e015b039 | MATLAB | 282 | 12 | function [v] = plx_mexplex_version()
% plx_mexplex_version(): returns mexPlex DLL version
%
% [v] = plx_mexplex_version()
%
% INPUT:
% None
%
% OUTPUT:
% v - mexPlex DLL version as a number. For example, version 180 corresponds to version 1.8.0.
[v] = mexPlex(29);
|
841a440eff844b7555ba52c996283cdea4f33fb1bf407a8d03c7f2a325b27ade | MATLAB | 282 | 13 | function distmap = test_breadth_first_search(A,u)
distmap = ipdouble(zeros(size(A,1),1));
distmap(u) = 0;
function on_tree_edge(ei,u,v)
distmap(v) = distmap(u)+1;
end
breadth_first_search(A,u,struct('tree_edge',@on_tree_edge));
distmap = double(distmap);
end |
84d711c994cac261f0e3ef5fa7d7d0dd13e39e604f9d91861ae34c5aa6ed54ba | MATLAB | 282 | 8 | function a = ne( x, y )
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.
|
ad03985680833b7c636acb9413eb0560a182a7ea9a30d21ecbab162be1dbf6de | MATLAB | 282 | 8 | function a = le( x, y )
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.
|
b12440ca8cf1c62d7377b493cc03b08b01a25b07d3c9dfd12e5b24b04d7bc536 | MATLAB | 282 | 8 | function a = eq( x, y )
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.
|
b240b0164dbc241e089f6180994e8de1f3c0058fb075575ef51be895713d5902 | MATLAB | 282 | 11 | % READ parse TOML data from a file
%
% READ('file.toml') loads the contents of `file.toml` and parses
% that data into a MATLAB struct.
%
% See also FILEREAD, TOML.DECODE
function toml_data = read(filename)
raw_text = fileread(filename);
toml_data = decode(raw_text);
end |
c8a7b3b26a1fb3c5bc1755a48cdb2d4154a73d17358ee629c2fa02e660f1c0f8 | MATLAB | 282 | 8 | function a = in( x, y )
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.
|
ee2290e95b43ea5a31cd525ac0e33e785c7918e1bf2662871e29b228810b7a81 | MATLAB | 282 | 8 | function [dRatioAll, dRatio] = computeDevRatio(trialAll)
devFreqAll = [trialAll.devFreq];
stdFreqAll = cellfun(@(x) x(1), {trialAll.freqSeq});
dRatioAll = roundn(devFreqAll ./ stdFreqAll, -2);
dRatio = unique(dRatioAll);
dRatio(dRatio == 0) = [];
return;
end |
5e740ed49087a2264944fa9367bca5a589feb8dcf78470128f6dd492dfe7e6cd | MATLAB | 284 | 13 | function out = R_contrast( fparam , img , imgR, imgG, imgB, typeidx )
if ( nargin == 1 )
out.weight = fparam.contrastWeight;
out.numtypes = 1;
out.descriptions{1} = 'Intensity Contrast';
else
out.map = myContrast( img , round(size(img,1) * fparam.contrastwidth) );
end
|
2857d0767101091863732c0867dbd9b56b97c6c6b2ff0bdc6c9105b305decd20 | MATLAB | 285 | 16 | function onoff=ea_bool2onoff(b)
% translates 'on' / 'off' to 1 / 0 and vice versa
if ischar(b)
switch b
case 'on'
onoff=1;
case 'off'
onoff=0;
end
else % isnumeric(b)
if b
onoff='on';
else
onoff='off';
end
end |
c9b447e49329305f71fee398342ba186b64a1a741629314502e2a0b05ddbf50c | MATLAB | 285 | 5 | signatures_to_plot = {'FAPS','VIFS','reddan'}; % NPS, VPS, SIIPS, etc., etc.
myscaling = 'raw'; % 'raw' or 'scaled'
mymetric = 'dotproduct'; % 'dotproduct' or 'cosine_sim'
plugin_signature_condition_contrast_plot
|
4a104588b75eb2784490d27af19e186468ff6b35316fa4d9f2ba4af2779107c2 | MATLAB | 287 | 11 | function showbTensor(ten)
%%
for k = 1:size(ten,3),
[U D] = eigs(ten(:,:,k));
dir(:,k) = U(:,1)*sqrt(D(1,1));
end;
dir = dir;%.*repmat(sign(dir(3,:)),[3 1]);
figure(1000) ;
plot3(dir(1,:),dir(2,:),dir(3,:),'*'); hold on;
plot3(-dir(1,:),-dir(2,:),-dir(3,:),'g*'); hold off; |
bdcd1a358975581e0b0ab49e289bfe5a618666fed02aafccef6ff4c24ca2dde7 | MATLAB | 287 | 13 | function my_addParameter(parser,name,value)
%To maintain compatibility with older versions
persistent old_matlab
if isempty(old_matlab)
old_matlab=verLessThan('matlab','8.3');
end
if old_matlab
addParamValue(parser,name,value);
else
addParameter(parser,name,value);
end
end
|
0d845cd101971b661937673a270277c8eb479e38d31f61b4898b4aa3f244e8d0 | MATLAB | 288 | 10 | function cvx_optval = square_pos( x )
%SQUARE_POS Internal cvx version.
narginchk(1,1);
cvx_optval = pow_pos( x, 2 );
% 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.
|
237942b70822464cb110f6fefa38b57849eeff8f35c4f5c2a6c7f7d6ee56d743 | MATLAB | 288 | 10 | function cvx_optval = square_abs( x )
%SQUARE_ABS Internal cvx version.
narginchk(1,1);
cvx_optval = pow_abs( x, 2 );
% 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.
|
c99ea38747e1fb6249c3e6731aba9ed3fa1d0ecec03d58e746d77454ebcfc989 | MATLAB | 288 | 13 | function y=erbRate2hz(x)
%ERBRATE2HZ Convert ERB rate to Hz.
%
% Y = IOSR.AUDITORY.ERBRATE2HZ(X) converts the ERB number X to the
% eqivalent frequency Y (in Hz).
%
% See also IOSR.AUDITORY.HZ2ERBRATE.
% Copyright 2016 University of Surrey.
y=(10.^(x/21.4)-1)/4.37e-3;
end
|
eb68d0a83d20580e691f5bde81a3d3d55e08988d7d5538ba227f65aac2df894f | MATLAB | 288 | 7 | if ispc()
mex -v mexlf.c liblfev.c liblocf.c libmut_win.c libtube.c mlfut.c
mex -v mexpp.c liblfev.c liblocf.c libmut_win.c libtube.c mlfut.c
else
mex -v mexlf.c liblfev.c liblocf.c libmut.c libtube.c mlfut.c
mex -v mexpp.c liblfev.c liblocf.c libmut.c libtube.c mlfut.c
end |
06ea5fc801d9ce39fea4ebfc16ac18290b8c5f923a602b252ca738cd18033093 | MATLAB | 289 | 11 | function y = cvx_isaffine( x, full ) %#ok
narginchk(1,2);
if nargin == 1,
y = true;
else
y = true( 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.
|
7b038195b4f87675f7f25041290cec2682531c1fbb9e25479d40c603b4739ace | MATLAB | 289 | 11 | function ea_get_ANN_env
env = ea_conda_env('SynthSeg');
env.force_create
if ~env.is_created
ea_cprintf('*Comments', 'Installing SynthSeg conda environment for TensorFlow...\n');
env.force_create;
ea_cprintf('*Comments', 'Done.\n');
end
env.system('pip3 install matplotlib');
|
cbae827c24eb1791434e12b4aa4487a07d641a0b3b4a8678841448df3aa047f2 | MATLAB | 289 | 11 | function alpha = circ_rad2ang(alpha)
% alpha = circ-rad2ang(alpha)
% converts values in radians to values in degree
%
% Circular Statistics Toolbox for Matlab
% By Philipp Berens, 2009
% berens@tuebingen.mpg.de - www.kyb.mpg.de/~berens/circStat.html
alpha = alpha / pi *180; |
0802153b9be6312fce5070cfba80172d9e88f6273c19c6e2e2eff13bcdd02ded | MATLAB | 290 | 8 | function handles = generateDendritemask(handles)
handles.roimask = zeros(size(handles.im_norm));
for k = 1:length(handles.dendrite)
ii = handles.dendrite(k).dend_pixel;
dendroi = zeros(size(handles.im_norm));
dendroi(ii) = 1;
handles.roimask = handles.roimask + dendroi;
end |
8152cf8f18353367b446495eb50d4f8d4cd0cf8a5b4c08eb9a7d4396806fe416 | MATLAB | 290 | 18 | function h = sfigure(h)
% SFIGURE Create figure window (minus annoying focus-theft).
%
% Usage is identical to figure.
%
% Daniel Eaton, 2005
%
% See also figure
if nargin>=1
if ishandle(h)
set(0, 'CurrentFigure', h);
else
h = figure(h);
end
else
h = figure;
end |
f09820b0e19fb8af8563685f023e4d850b56666e85b28397d71094eec4b5f48b | MATLAB | 290 | 10 | function [field] = FindFieldHelper(map,x,y,threshold,circX,circY)
%[field] = FindFieldHelper(map,x,y,threshold,circX,circY)
% Helper function to pass arguments to FindField in order to avoid moving
% around compiled function
field = FindField(map,x,y,threshold,circX,circY);
end
|
2fd96e87f3b31d637953d84283675575d339fddb45a70bdbed2dffc06e83841c | MATLAB | 291 | 11 | function y = cvx_isconstant( x, full ) %#ok
narginchk(1,2);
if nargin == 1,
y = true;
else
y = true( 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.
|
c3b35a71329f78d98a29f9a03ee8359c300accc8e94462469110a9cb1025ea5e | MATLAB | 291 | 11 | function y = cvx_id( x )
y = cellfun( @cvx_id, x );
if isempty( y ),
y = -Inf;
else
y = max( 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 located.
|
d0d8e3725909a3a99c7dc6ff3df1dae52c7f2748b58442c52b1e1ebe8eb922ff | MATLAB | 291 | 15 | function n_brackets = is_section(str)
section_regexp = '^\s*\[{1,2}(.+?\.?)+\]{1,2}$';
section_name = regexp(str, section_regexp, 'ONCE');
if ~isempty(section_name)
if str(2) == '['
n_brackets = 2;
else
n_brackets = 1;
end
else
n_brackets = 0;
end
end |
f4b132ad9ad7466a9f3ed2289fd91061b659a89e4cb5bc4ef73b8077d6695d1f | MATLAB | 291 | 7 | function color = Cmar
%Cmar Maroon color vector.
% CMAR returns [0.8 0.0 0.5]. 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 = [0.8 0.0 0.5];
|
1d179c26ff2406fc4a0fc7a4731c4b296b87b967ad78704a1000c997ec125215 | MATLAB | 292 | 11 | function spy( prob, reduce )
if nargin < 2 || ~reduce,
A = extract( prob );
else
A = eliminate( prob );
end
spy( A' );
% 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.
|
3725a340ea2b809fceccd6c2353de6fab10fcec444bc3bf1d17b0849e20db99b | MATLAB | 292 | 10 | % Written by [xxx] and CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
addpath('ad/cds/');
addpath('xxxx/fsf/');
addpath([CBIG_CODE_DIR '/xxx'])
addpath /dadf/dafsf
rmpath('ad/cds/');
rmpath('xxxx/fsf/');
rmpath([CBIG_CODE_DIR '/xxx'])
rmpath /dadf/dafsf
|
6021cae660fa1b9c2cbfbc0f8658335f8b10b345f280125d10ffc0dd3c2d65cb | MATLAB | 292 | 10 | function [ ci m ] = ci_mean( raw, errorProb)
%SE_MEAN Summary of this function goes here
% Detailed explanation goes here
if nargin==1
errorProb = 0.05;
end
[se m] = se_mean(raw);
%df = size(raw,1)-1;
df = sum(~isnan(raw))-1; %changed on 29.04.2015
ci = se .* tinv(1-(errorProb*0.5),df); |
952ae6f12b7c0a57cf712c110a8ca620eb0ad0320cf6db30acdca5c5a8b77a4e | MATLAB | 292 | 13 | function tree = setfilename(tree,filename)
% XMLTREE/SETFILENAME Set filename method
% FORMAT tree = setfilename(tree,filename)
%
% tree - XMLTree object
% filename - XML filename
%
% Set the filename linked to the XML tree as filename.
%
% See also XMLTREE
tree.filename = filename;
|
aa2c6afbc1279a2238691ff3e3e1e5aea0925cdb6a59352137373e8342f5cb1a | MATLAB | 292 | 7 | function v = cvxin
superiorto('cell','struct','cvx','cvxtuple');
v = class( struct( 'active', false, 'value', [] ), '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.
|
fda4833c9a7204de7540ac13767e28e9d793301993aaacb0f832008d87eff071 | MATLAB | 292 | 11 | function y = cvx_basis( x )
if isempty( x )
y = sparse( 1, 0 );
else
y = sparse( reshape( x, 1, numel( 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.
|
62f2ea4d46d4d62b6cd7b6bf3a6da1aa75a7cadd38e0a031f620c77f3ca333a0 | MATLAB | 293 | 5 | signatures_to_plot = {'NPS' 'NPSpos' 'NPSneg' 'SIIPS'}; % NPS, VPS, SIIPS, etc., etc.
myscaling = 'raw'; % 'raw' or 'scaled'
mymetric = 'cosine_sim'; % 'dotproduct' or 'cosine_sim'
plugin_signature_condition_contrast_plot |
85460b1f942736112656ff50cd2ff9878492a20c94739fd7d6252dd321475f05 | MATLAB | 293 | 9 | %% rowNorm - row-wise eucliadian norm
%
% Andreas Husch
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2014 - 2017
% mail@andreashusch.de, husch.andreas@chl.lu
function d = rowNorm(A)
d = sqrt(sum(A.*A, 2));
|
d6ec3f648e68b39b56085d5b41f556df135ee83844ff1f2a46b747a1d66c9ad8 | MATLAB | 293 | 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);
|
0304d2e8981f5d1d8a8eb44f224f45405056b7e2413ce52504217bf5559a6186 | MATLAB | 294 | 12 | function c = myconv2(a,b)
%
% conv2 with 'same' and repeating boundary condition
%
vpad = ceil(( size(b,1) - 1 ) / 2);
hpad = ceil(( size(b,2) - 1 ) / 2);
ap = padImage( a , vpad , hpad );
cp = conv2( ap , b , 'same' );
c = cp( vpad + 1 : vpad + size(a,1) , hpad + 1 : hpad + size(a,2) );
|
42bec7dbacecc69539428ecd0dc8a3d1bd09c6bf12e7cbad26190d194bccda88 | MATLAB | 294 | 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')
|
45822a241bb64be2eef8f63d5b256eb1511627d7a2f82f55895b6843a08197c1 | MATLAB | 294 | 10 | function x = cvx_zeros( s )
if cvx_use_sparse( s, 0, 1 ),
x = sparse( s(1), s(2) );
else
x = zeros( s );
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.
|
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