sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
d21273e0a1cd6509f276b71da73db6c07fe29d0c50912625a3be54ee0ff7c1f5 | MATLAB | 772 | 30 | % plot of EP updates for the TrueSkill model
psi = inline('normpdf(x)./normcdf(x)');
lambda = inline('(normpdf(x)./normcdf(x)).*( (normpdf(x)./normcdf(x)) + x)');
xs = -6:0.1:6;
figure;
plot(xs, psi(xs), '-', 'linewidth', 3)
h=title(sprintf('%s function', '\Psi'));
set(h, 'fontsize', 15)
printPmtkFigure('PsiWin')
... |
717440b1b9dcba24f1360da49e9982009e6f62899dbb5913809408c20695013f | MATLAB | 773 | 29 | function img = cell_with_nucleus_plot(name, cell_mask, cell_nucleus_mask, cell_channel);
% Show cell and nucleus Segmentation projection
cell_zp = cmp_z_proj(cell_mask);
cell_nucleus_zp = cmp_z_proj(cell_nucleus_mask);
% cell_nucleus_zp = imfill(cell_nucleus_zp > 0, 'holes');
% cell_channel = stack_con... |
7f398b5d3fcd201f48ad170d90e4f7235ba44d9755f0874cf4f7b83e154cbf4f | MATLAB | 773 | 28 | function Y = clfDecTreeFwd( clf, X )
% Apply the decision tree to data X.
%
% USAGE
% Y = clfDecTreeFwd( clf, X )
%
% INPUTS
% clf - trained model
% X - nxp data array
%
% OUTPUTS
% Y - nx1 vector of labels predicted according to the clf
%
% EXAMPLE
%
% See also CLFDECTREE
%
% Piotr's Image&Video To... |
1a59229c47ebdfe60607a2b75a85f36030ef1fae22c356d765b5da52b7e32256 | MATLAB | 774 | 27 | function [prevNodes] = treeOrderNodes(adj, root)
% Compute node ordering, parents before children, in a rooted directed tree.
% This is a breadth first search of the tree.
% This corresponds to the top-down pass.
% The bottom-up pass is simply the reverse order.
% Based on code by Erik Sudderth
if nargin < 2, root = ... |
cf59d8d3cc5a275b8e51b32f079f6b069426e908ef14079c44897905b6f630cd | MATLAB | 774 | 17 | function [PkRtsBySes,FinFrstDiffs] = SesBySesPkRates(Cums,LVs)
ns = size(LVs,2); % # of sessions
PkRtsBySes = nan(ns,4); % initializing output
for c = 1:ns % stepping through the sessions
CSdr = Cums(LVs(:,c),3);
CSdr = CSdr(end) - CSdr(1); % cum duration of CS during session
ITIdr = Cums(LVs(:,c),5);
I... |
e25ef244a62558d456e759485864a774674b7c86bd13cd8f3d6a584f6df58838 | MATLAB | 774 | 23 | function varargout = setChildColorToMatchParent(child,parent)
%setChildColorToMatchParent Sets color of child to match parent's color.
% setChildColorToMatchParent(child,parent) matches the child's
% BackgroundColor property to the parent's color. The parent may be a
% figure, uipanel, or uicontainer. The child i... |
c3285fae605d403b65b3e6b68d9dbcc6167d1b62ecd9d427ea9238764675eb41 | MATLAB | 775 | 28 | function [phi,theta] = sphCoord(Coord3D)
% [phi,theta] = sphCoord(Coord3D)
%
% This function transforms spherical 3D XYZ spherical coordinates to 2D
% (theta,phi) spherical coordinates.
%
% Input
% Coord3D: Data Matrix with the spherical XYZ coordinates at the first
% three columns respectively.
%
% Output
... |
d0a266f0881d0d23335a08319b47c5ee152ae4fca55fd51c72b28c691bd71574 | MATLAB | 775 | 22 | %-----------------------------------------------------------------------------------------
% Plot multimodal banana neuron
%
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Figure 5g
% Author: Marcel Kehl
% License: MIT License
%----------------------------------------------... |
2abf57f64a9a99e656889188f58a649a8aa5b108e558b0f593a25d8214d1930e | MATLAB | 776 | 24 | function n = ndims(t)
%NDIMS Number of dimensions of a sparse tensor.
%
% NDIMS(T) returns the number of dimensions of sparse tensor T.
%
% Examples:
% T = sptenrand([3 2 2],5);
% ndims(T) %<-- should return 3
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is ... |
34493b019cd6a5cb0bff0c78a670a5f6b1bc3f63684617ac2242fc229c57c1a0 | MATLAB | 776 | 26 | function ...
[measLength_in_preExM_um, ...
measLength_NaN_in_preExM_um, ...
RMSerror_in_preExM_um] = ...
export_measurementError_XY( ...
measResults, ...
pixelWidthExpanded, ...
expFactor)
preExM_pixel_to_um_ratio = pixelWidthExpanded / expFactor;
%%% Assumes that the input images are size... |
e62d40d65332b69f4b807a40a8b45392afdd3ff5c6592e15955a44e2e103a89f | MATLAB | 776 | 21 | function [rrmat, stats, QCFC, QCFCed]=plot_distance_QC(fc,motion,distances);
%% Plot correlation coefficient-QC vs edge distance
Nsubjs=size(fc,3);
Nroi=size(fc,1);
rr=zeros(Nroi*Nroi,1);
connectivitydata=reshape(fc,[],Nsubjs);%fc-X-subjs
rr=corr(connectivitydata',motion,'type','Pearson');
[rr p]=corr(connec... |
f453698e5b1d21276ef829a0acff95885fc08fc92effda6b3a3f4d17ac1e2b4d | MATLAB | 776 | 21 | function C = ldivide(A,B)
%LDIVIDE Array right division for sparse tensors.
%
% LDIVIDE(A,B) is called for the syntax 'A .\ B' when A or B is a sparse
% tensor. A and B must have the same size, unless one is a scalar.
%
% See also SPTENSOR.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This i... |
002291b1811fa28041c04abfc5b12cdf1e2826efa33fa598471aee43541675a3 | MATLAB | 777 | 40 | %%%% a5 normalized on mean before injury(4 times)
%%%% a6 mean normalized for all mice
a=b1;
a3=a(1:4,:)
a4=nanmean(a3)
a5=[];
a7=size(a)
for i=1:a7(2)
a5(:,i)= a(:,i)/a4(1,i);
end
a6=nanmean(a5')
before = a5(1:4, :);
before=before(:);
after1=a5(5, :);
after1=after1';
after = a5(5:end, :);
after=after(:);
figure
pl... |
0ff73959bcd5edebe67bedde4ff5db4102e6c7fdfaeb91e819a2ef8e74b3afdd | MATLAB | 777 | 22 | function trxGraphicParams=cookTrxGraphicParams(trxGraphicParamsRaw)
trxGraphicParams=cookMarkerParams(trxGraphicParamsRaw);
if isfield(trxGraphicParamsRaw,'colormap') && ~isempty(trxGraphicParamsRaw.colormap)
trxGraphicParams.colormap = trxGraphicParamsRaw.colormap;
else
trxGraphicParams.colormap = 'jet';
end
if... |
1c32f4828ae2a3f4fe2c0f12f56ed8e117c2f8dffd9ad766c7368a59f7af633f | MATLAB | 777 | 28 | function traj = UnitTraj(unit, var, dt, varargin)
if length(varargin) > 0
taskName = varargin{1};
else
taskName = 'RL';
end
taskIdx = find(cellfun(@(t) strcmp(lower(taskName), lower(t)), unit.taskList));
t1 = unit.taskStart(taskIdx);
t2 = unit.taskEnd(taskIdx);
spkTimes = unit.spkTimes;
spkTimes = spkTimes(sp... |
7b8565beece2c9a6f13589284fcc263b7a1bf4c14060b986663385d0141d6085 | MATLAB | 777 | 23 | function [nodeBel, edgeBel, logZ] = mrf2InferNodesAndEdges(model, clamped)
% Compute node and edge marginals, and log partition function
% clamped is an optional 1*D vector, where
% clamped(i) = 0 means node i is not observed
% and clamped(i) = k means node is clamped to state k
% This file is from pmtk3.googlecode.co... |
90283f3030621e09de1d0c9e3af85a4282df285750ad93a044dcdb9f6e27ef7e | MATLAB | 777 | 21 | % Pipeline_Z_Control_AssignationsHistogram
NumClusters = som_dim(1)*som_dim(2) ;
% Simuliamo i dati dei cluster per ogni soggetto e misura ripetuta.
% I cluster sono rappresentati da numeri interi da 1 a NumClusters.
data = randi(NumClusters, numSubjects, NumRest);
% Inizializziamo un array per memorizzare i... |
f0858e993b7ef520844f67cdb7fc00e2213c2c64b6cc9e903ab7a012f92651fb | MATLAB | 777 | 32 | function [v] = ind2subv(siz,ndx)
%IND2SUB Multiple subscripts from linear index.
% IND2SUBV is used to determine the equivalent subscript values
% corresponding to a given single index into an array.
%
% [V] = IND2SUBV(SIZ,IND) returns the array V containing the
% equivalent subscripts corresponding to the inde... |
0b56644ee5f537b152519cff3cfab63cb12d5c31380f4169b7cd0de3ed89899c | MATLAB | 778 | 35 | function idxval = do_ft_calcFindThresholdIndex(dbval, dblist)
% function idxval = do_ft_calcFindThresholdIndex(dbval, dblist)
%
% This function looks up the threshold array index corresponding to a given
% threshold dB value. The array is sorted in ascending order.
%
% "dbval" is the dB value to look up.
% "dblist" is... |
6a3bb0a717d83def6bbc6bf543469273f4102bc6fbf772beb074b588fa85cf4f | MATLAB | 778 | 21 | function t = ones(t)
%ONES Replace nonzero elements of sparse tensor with ones.
%
% S = ONES(T) generates a sparse tensor with the same sparsity
% structure as T, but with ones in the nonzero position.
%
% See also SPTENSOR, SPONES.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MAT... |
8b5d9113a41c16fe8ae0a67e119fcaeebad2f2efb7ade2e8713b323b836a83a4 | MATLAB | 778 | 30 | function pool_load (parameter, path, group1, group2, group1_label, group2_label)
% path = 'E:\GAD67 results\Recordings\';
% parameter = 'pair_corr';
%group1 = 'dff.dfftot.pyr';
%group2 = 'dff.dfftot.int';
% group1_label = 'pyr';
% group2_label = 'int';
files = dir(path);
fileNames = {files.name};
fileIsDir = {files.i... |
d021326c3e3fd41e902c05f99af33d18c1ebb32402e07590814474b189cc7150 | MATLAB | 778 | 26 | basepath = 'D:\app_ps1\data\hpc04\hpc04_day09_220221_094101';
basename = basenameFromBasepath(basepath);
epoch = [7268.332 7800.357]; % epoch to remove in seconds
% locate lfp file
fileName = fullfile(basepath,[basename,'.lfp']);
% use dir to get size of dat file in bytes
filenamestruct = dir(fileName);
dataTypeNByte... |
eb12e51e4dd05485b032005351bec7e55582cd56d836558f35e93abaaab4c038 | MATLAB | 778 | 40 | %{
_ _
___ _ __ __ _| |__ ___ ___ _ __| |_
/ __| '__/ _` | '_ \/ __|/ _ \| '__| __|
| (__| | | (_| | |_) \__ \ (_) | | | |_
\___|_| \__,_|_.__/|___/\___/|_| \__|
### showFullTrace(self,~,~)
**Syntax**
```
showFullTrace(sel... |
086011eec15ab001eb1a6cd597ebc5546d914ec6202e1a7c1fd6d2a1a4675ec9 | MATLAB | 779 | 38 | function err_shape = error_depth(param_dist,xcn,xpn,R,T,X_shape,ind);
X_new = depth_compute(xcn,xpn,[param_dist],R,T);
N_pt_calib = size(xcn,2);
% UnNormalized shape extraction:
X_shape2 = X_new;
X_shape2 = X_shape2 - (X_shape2(:,1)*ones(1,N_pt_calib));
% map the second vector at [1;0;0]:
omu = -cross([1;0;0],... |
0b81342d09398e080c195e070afe2bad94356b58d039fa3e79680249f1dfcf76 | MATLAB | 779 | 23 | function [Fout, J] = calcGaussianActivationsGrating(params, xvals)
%UNTITLED Summary of this function goes here
% Detailed explanation goes here
%==========================================================================
spfreq = xvals(:, 1);
ori = xvals(:, 2);
%==================================================... |
61313dc7f8d1a1467be468ae09030cc9d7b055beb811d3b23b459efdcade08dc | MATLAB | 779 | 35 | function [pvals, clustMass, clustIdx, rawP] = clusterMassOneSampZ(x,varargin)
[nShuff, nTP] = size(x);
dat = x(1,:);
shuff = x(2:end,:);
z = ( dat - mean(shuff,1) ) ./ std(shuff,[],1);
mask = abs(z) > 1.96;
rawP = 1-normcdf(z);
[clustIdx, ~, clustMass] = getClust(mask,z);
nIter = nShuff-1;
nullMass = n... |
7cac0726ae0c22340aa139fdc634c6509b2a46353b608376218a295977748633 | MATLAB | 779 | 34 | function params = rotateFixCoords(params, rotation)
% rotation = pi/4;
fixCoords = params.display.fixCoords;
center = params.display.numPixels/2;
for i = 1:numel(fixCoords)
coords = fixCoords{i};
nCoords = size(coords,2);
coordsRot = zeros(size(coords));
coords0 = coords - repmat(center',1,nCoor... |
f65f266e2bb2a9a312c62d878402113c6e72ca6b22d00586ad779a3e8d031054 | MATLAB | 779 | 48 | function dip=ran_dip(center,radius,ndip,type,bias);
[n1,m1]=size(center);
if m1==3 & n1==1
center=center';
end
if nargin==5
[n1,m1]=size(bias);
if m1==3 & n1==1
bias=bias';
end
center_b=center+bias;
else
center_b=center;
end
if type=='cart'
diploc=[];
f... |
025b79f551072af898cb9b9495e13b1369be9c974a7da1ec4b61bd3dd3bdd063 | MATLAB | 780 | 25 | function sqnorm = multisqnorm(A)
% Returns the squared Frobenius norms of the slices of a 3D matrix.
%
% function sqnorm = multisqnorm(A)
%
% Given a 3-dimensional matrix A of size n-by-m-by-N, returns a column
% vector of length N such that sqnorm(i) = norm(A(:, :, i), 'fro')^2.
%
% See also: multiprod multitr... |
0a619b60237ced58095b31df2d513eeb1e333178fd7519cb600579766324be6f | MATLAB | 780 | 30 | function v = generate_main_variables()
%Retrieves the variables for modelling and analyses
% Environment parameters
v.env.dx_sq = 100;
v.env.dy_sq = 100;
v.env.dx_rct = 173;
v.env.dy_rct = 100;
v.env.bin_size = 9.1;
v.env.Nx_sq = round(v.env.dx_sq/v.env.bin_size);
v.env.Ny_sq = round(v.env.dy_sq/v.env.bin_size);
v.en... |
1e09728c2d2c0d86d042409b01bd055d8e4996e6a9b9fd7a0de0f195c6ff13d4 | MATLAB | 780 | 23 | function bf10 = t2smpbf(t,nx,ny,r)
%
% bf10 = t2smpbf(t,n,[r=0.707])
%
% Calculates JZS Bayes Factor for a two-sample t-test given t and sample sizes nx and ny.
% The optional input r is the scale factor which defaults to 0.707.
% This quantifies the evidence in favour of the alternative hypothesis.
% See Rouder et al... |
37bacea9ea504567584de75560cabd257911d26ba14b5c4f5ef9254cdbc8a710 | MATLAB | 780 | 41 | function [locs_n,inds]=select_chans(locs,nin)
% usage [locs_n,inds]=select_chans(locs,nin)
% selects a sparse subset of locations, such
% the selected locations are as equally distributed as
% possible
%
% input:
% locs: locations of sensors (2D or 3D), each row is the location of one sensor
% nin: number of desire... |
3cd24657c75928aebc122babde20fe55c9309bea8505ecf088349721311cce61 | MATLAB | 780 | 30 | function stage_normalization()
loadParameters;
%Save the loadParameters into the output director in case we need to do
%later debugging
copyfile('loadParameters.m',fullfile(params.normalizedImagesDir,...
sprintf('loadParameters.m.log-%s',date)))
[ret,messages] = check_files_in_normalization... |
9ea99de6484ec25bea6c9547ce5be099b7aa146067b50ed261cad4c8c4d780ba | MATLAB | 780 | 28 | function sigstring= HumanOdorRep_get_sig_string(p)
% function to get significance stars depending on provided p value
%-----------------------------------------------------------------------------------------
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Author: Marcel Kehl
... |
d3e4247e7c76963bd4b0ea35437975ed3aefb3f8e3aea6e20029f5df39a656be | MATLAB | 780 | 25 | function spkDat = CleanClusters(spkDat, cleanDat, errCriterion, varargin)
clustList = arrayfun(@(x) x.id, cleanDat);
for i = 1:2:length(varargin)
switch varargin{i}
case 'clust'
clustList = varargin{i+1};
otherwise
disp('invalid optional argument passed to CleanClusters')
... |
e17028f654f897f05aa12232919d4f46da7afa94625effd82e466c9543f562b2 | MATLAB | 780 | 22 | %-----------------------------------------------------------------------------------------
% Plot multimodal licorice neuron
%
% Kehl et al. 2024 (DOI:XX)
% Single-Neuron Representations of Odors in the Human Brain
% Figure 5h
% Author: Marcel Kehl
% License: MIT License
%--------------------------------------------... |
86f2c4b2344be3a9489858245f58fcf5e0672c8b92899e2e1cab285e1d9989c6 | MATLAB | 781 | 31 | function [p,U2]=watsons_U2_approx_p(A1,A2)
%
% [p,U2]=watsons_U2_approx_p(A1,A2)
%
% Computes approximate p values for a given value of U2, a statistic
% relating to the differences in distribution between two samples of
% circular data. This function uses the approximation suggested by Watson
% (1961).
%
% Inputs:
% A... |
8b51871e3983525a36134c2b25b041785042d79b1bf505c758685c508768c937 | MATLAB | 781 | 29 | addpath(genpath('/home/kristin/software/videoIO'));
%vw = avifile('test.avi');
vw = videoWriter('writertest.avi', ...
'width',320, 'height',240, 'codec','xvid');
hfig = 1;
figure(hfig);
clf;
set(1,'visible','off');
img = imread('peppers.png');
[nr,nc,three] = size(img);
h = fspecial('motion',10,5)... |
9cf3274621f41899cf96b70bbfd1084fb1b3056b57a25f1b9c44d83f06e26035 | MATLAB | 781 | 25 | %% Rosenbrock 2D demo
%PMTKneedsOptimToolbox fminunc
%%
% This file is from pmtk3.googlecode.com
requireOptimToolbox;
xstart = [-1 2];
% basic usage with anonymous function and numerical derivatives
[x fval exitflag output] = fminunc(@(X) (1-X(1))^2 + 100*(X(2)-X(1)^2)^2, xstart)
% now specify gradient and Hessian ... |
d01720ec33d581941c9a440a6a131d52d519fbdab8ded00f4d89cbc42e055ec0 | MATLAB | 781 | 31 | function clf = clfKnn( p, k, metric )
% Create a k nearest neighbor classifier.
%
% USAGE
% clf = clfKnn( p, k, metric )
%
% INPUTS
% p - data dimension
% k - number of nearest neighbors to look at
% metric - [] distance function, squared euclidean by default
%
% OUTPUTS
% clf - model ready to be ... |
0429b058da1821d2c5bb600b40665f9922f170452d6f111f4263033b0d6ce719 | MATLAB | 782 | 27 | function [data_cond,label_cond,datatypes,labeltypes] = SHGTInfo2CondData(gtinfo,useisdup)
if nargin < 2,
useisdup = true;
end
if useisdup,
isnotdup = gtinfo.isduplicate==0;
else
isnotdup = true(size(gtinfo.isduplicate));
end
nlabels = numel(gtinfo.istrain);
data_cond = zeros(nlabels,1);
data_cond(isnotdup & gtin... |
1fe09e8e2d828043b057d6d734ca77a36ad12a3e825fdd62c803f37995eb7fcd | MATLAB | 782 | 31 | function EWsig=Enrichment_Figs2(dataOut,IM,B)
% Plot network pairs meeting significance
if ~exist('B','var'),B=1;end
Pth=0.05./B;
PthMcN=0.05;
[NNidx,Tidx,TNidx]=IM2idx(IM);
Npairs=length(TNidx);
Nnets=max(IM.key(:,2));
NetKey=[[1:Nnets]',[1:Nnets]'];
cMap=[1,1,1;0,0,0];
%% Significant stats by network block
Xpos=8;... |
5859a2a1fd7951dbd3c9c60e689bc9ade1bcebdb15aa96faf6dedf881e546605 | MATLAB | 782 | 26 | function fullresidual = projectout(vector, whattoprojectout)
% projects one vector out of the other
% Anne Urai, 2015
% make sure everything is the same size
vector = vector(:); whattoprojectout = whattoprojectout(:);
% ignore nans
idx2use = (~isnan(vector));
idx2use(find(isnan(whattoprojectout))) = 0;
prj = whattop... |
a2da0fe2c2c766b24160435f90ffd32e1278a1c4b75316dadd6c1050db6fadc7 | MATLAB | 782 | 23 | function out = periodAssign(times, periods)
% out = periodAssign(times, periods)
% TIMES is a vector of times
% PERIODS is an N by 2 list of start and end times
% Returns the index of the period that each time falls into. If a time
% does not fall into one of the periods, a zero is returned.
% This function assumes th... |
dd1b7fe5348136bff67743fc8910c129d27c11df8f0147584d48601e38cb87a1 | MATLAB | 782 | 33 | function [variables, expression] = parsefilterstring(inputstr)
pattern = '\$[\w\d_.]+([^\w\d_]|$)';
variables = regexp(inputstr,pattern,'match');
if isempty(variables)
error(['Not a valid filter: ',inputstr]);
end
for i = 1:length(variables)
variables{i} = regexprep(variables{i},'[^\w\d_.]','');
end
expressi... |
60be4fa0db3de908bf5563534af07f3b31a325cd0b3da226541eba13fd358b0f | MATLAB | 783 | 33 | function [Ic,xyc] = croproi(I,xy,roi)
% I: [nx1] column image vec
% xy: [nxnptx2], 3rd dim is x/y
% roi: [nx4] [xlo xhi ylo yi] roi crop coords (inclusive)
%
% Ic: Like I, but cropped
% xyc: like xy, but relative to Ic
assert(iscolumn(I));
n = numel(I);
npt = size(xy,2);
szassert(xy,[n npt 2]);
szassert(roi,[n 4]);
I... |
6b28cf89373742650585b72b23ff15cafa6c97e0530cecede0122cfe384dfe67 | MATLAB | 783 | 45 | function idx = label2idx_elec(chanlocs,label)
% <*LAN)<Toolbox
%
% LABEL2IDX_ELEC find the index of the label electrode
% idx = label2idx_elec(chanlocs,label)
%
% v.0.0.2
% Pablo Billeke
% 19.12.2012
% 13.07.2011
if ischar(label)
%
for e = 1:length(chanlocs)
le = chanlocs(e).labels;
... |
93c2d0aeb7aa734aabb15c78e1d4d3414d5b9ef4216f7a19d6831eadfd3f5de2 | MATLAB | 783 | 26 | function s = tt_size2str(sz)
%TT_SIZE2STR Convert size to a string that can be printed.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolbox by T. Kolda, B. Bader, and others.
% http://www.sandia.gov/~tgkolda/TensorToolbox.
% Copyright (2015) Sandia Corporation. Under the ... |
dc1391bd8931684d6bf35bc552555bf8f3d5ba954d0766593f7a8ec56b8d550e | MATLAB | 783 | 24 | classdef ManualDetector < FeaturesDetector
% This is just a dummy class to allow workspaces saved with the old manual detector to open in newer Tempo's that use FeaturesAnnotator's instead.
methods (Static = true)
function obj = loadobj(data)
obj = FeaturesAnnotator([]);
... |
002691f92ef64231433ea9247486aa7fbdf0bee1186a08a8a59006070bacd62f | MATLAB | 784 | 20 | function [I, J, K]=mapxyz2ijk(p,deltax,matrixdim,llc)
% maps coordinates of point 'p' to a matrix based index.
% dx,dy and dz are the the mapping factors.
% deltax=[dx dy dz] and matrixdim=[nrow ncol npln]
% this routines assume that matrix has 1 extra row/column/plane in each
% dimension such that the real object(mesh... |
46bf1ddcc63b02ab874b3abcda8b6c07bf66fd1f58f50c6ae10a66d4596f5780 | MATLAB | 784 | 33 | function m = sqdist(p, q, A)
% SQDIST Squared Euclidean or Mahalanobis distance.
% SQDIST(p,q) returns m(i,j) = (p(:,i) - q(:,j))'*(p(:,i) - q(:,j)).
% SQDIST(p,q,A) returns m(i,j) = (p(:,i) - q(:,j))'*A*(p(:,i) - q(:,j)).
% Written by Tom Minka
[d, pn] = size(p);
[d, qn] = size(q);
if pn == 0 || qn == 0
m ... |
6d50047283be6d436c3e1beabc1905029ea4c5fbb5c2ca0ee135f7c20c50694f | MATLAB | 784 | 49 | function LAN = add_field(LAN, field)
% v.1.0.5
%
%
% Pablo Billeke
%
% 24.01.2011 add ';'
% 26.08.2010 puede agregar variables de otros workspase.
% oreden:
% de la funcion > base > del la funcion que la llamo.
% 12.06.2009
%
% field = ['phase.cfg.stata = ''boot''']
if iscell(LAN)
... |
3988fd6450ec3dd88053b7d148b669b7a0e02914f0a4f76898eddf3079633c7a | MATLAB | 785 | 27 | function [ret,messages] = check_files_in_normalization()
loadParameters;
ret = true;
messages = {};
for do_downsample = [true,false]
if do_downsample && ~params.DO_DOWNSAMPLE
continue
end
if do_downsample
FILEROOT_NAME = sprintf('%s-downsample',params.F... |
5ad3e982ca3ad328822afdddd2c1591a4322189549440085e4f17f1c809ae651 | MATLAB | 785 | 36 | %% Shattered sin
%
%%
% This file is from pmtk3.googlecode.com
domain = 0:0.0005:1.005;
f = @(x)sin(50*x);
hollow = [0.03,0.04,0.05,0.15,0.28,0.52,0.66,0.67,0.8];
solid = [0.22,0.23,0.35,0.58,0.6,0.71,0.86,0.97,0.98];
plot(domain,f(domain),'-r','LineWidth',3); hold on;
plot(hollow,zeros(1,numel(hollow)),'sg','Li... |
f1e99d66a936f212c7737cd7916487e84a276d5699c13689d9014aaf670f1ba9 | MATLAB | 785 | 17 | % HIFIE3 Hierarchical interpolative factorization for integral equations in 3D.
%
% This is essentially the same as HIFIE2 but extended to 3D, compressing
% first cells to faces, then faces to edges, and finally edges to points.
%
% This implementation is suited for first-kind integral equations or matrices
%... |
fd36ce6865f99d653379787decc2055f4ccf9e5fca65d69db92e32587c206ab3 | MATLAB | 785 | 25 | function [a,b] = fdct_wrapping_pos2idx(NX,NY,SX,SY,s,w,x,y)
% fdct_wrapping_pos2idx.m - For a fixed scale and a fixed direction, returns
% the curvelet which is closest to a certain point on the image
%
% Inputs
% NX,NY,SX,SY values returned by fdct_wrapping_param
% s scale index
% w ... |
5935c358b907ab07264acc6cfe6734253259ac65663772f61cdc25b13fcbbc86 | MATLAB | 786 | 23 | function [velocity, acceleration, distance_vector] = linear_motion(x,y,t,fr)
% computes linear velocity and acceleration from position coordinates
% inputs:
% x: position vector of x-coordinates of length n
% y: position vector of y-coordinates of length n
% t: position vectpr of timestamps of length n
% fr : ... |
6b16a48cff81c4dbbf33e209389131d95d4c74c4a8834bd4f2cd6bfd9d3e9f00 | MATLAB | 786 | 28 | function model = linregRobustHuberFit(X, y, delta, includeOffset)
% Minimize Huber loss function for linear regression
% We assume X is an N*D matrix; we will add a column of 1s internally
% w = [w0 w1 ... wD] is a column vector, where w0 is the bias
% This file is from pmtk3.googlecode.com
%PMTKauthor Mark Schmidt
... |
843d731700d8e829d96fb10553c11c5e5fb51a84f143b2e219793850b919e39a | MATLAB | 786 | 46 | function sev = read_tdt_sev(filename, dtype, begsample, endsample)
% READ_TDT_SEV
%
% Use as
% sev = read_tdt_sev(filename, dtype, begsample, endsample)
%
% Note: sev files contain raw broadband data that is streamed to the RS4
fid = fopen(filename, 'rb', 'ieee-le');
if nargin<3
begsample = 1;
end
if nargin<4
... |
8e61703596485d54ac0e32faf8aafbb5549247b4bab7c04ba357c972114cda22 | MATLAB | 786 | 38 | function [foci,ecc] = conic_foci(A,B,C,D,E,F)
[type,x0,y0,theta,A2,B2,C2,D2,E2,F2] = conic_standard_form(A,B,C,D,E,F);
if strcmpi(type,'circle')
foci = [0,0];
ecc = 0;
elseif strcmpi(type,'ellipse') || strcmpi(typ,'hyperbola'),
a2 = 1 / min(abs(A2),abs(C2));
b2 = 1 / max(abs(A2),abs(C2));
c2 = sqrt(a2 - b2)... |
a151b6566d28c51e3c7395d76277d434588c2e22ef2bf1fe6347a7a5e270ada2 | MATLAB | 786 | 30 | %% fnc_GetInputs: give the vector of the inputs corresponding to the index
% (useful to scan all the possible combinations of the
% inputs)
%
% Usage:
% ii = fnc_GetInputs(i)
%
% Inputs:
% i scalar index of the inputs (given by fnc_GetIndex)
%
% Output:
% ... |
f8cb416df2b5d435c50e4bcf021ab29e58a14a0e220db1caa503aade6ff6f724 | MATLAB | 786 | 26 | rgb = [0.1 0.4 0.5; 0.7, 0.4, 0.7];
for iCond = 1: 2
figure('color',[1 1 1])
switch iCond
case 1
cmp = 'Singleton distractor';
case 2
cmp = 'Non-singleton distractor';
end
vx=-1:0.02:1;
ax = gca;
mato= hist(index{iCond},vx);
colormap(ax,r... |
40d34e7bc562f4ae7f769f6891261e98c9526dfdca8125355c3540094332b59c | MATLAB | 787 | 33 | %% Simple bolasso demo
%
%%
% This file is from pmtk3.googlecode.com
setSeed(0);
n = 1000; %number of data points
d = 25; %number of dimensions
r = 10; %number of relevant dimensions, (first 8)
ndataSets = 1;
lassoSignConsistent = false;
[X,y] = bolassoMakeData(n,d,r,ndataSets,lassoSignConsistent);
trueSu... |
59122993884a586d144ba2ecc7e946f9dd37d68eabd9d26aaf9ddce240296373 | MATLAB | 787 | 27 | function IDIF_extraction_wrapper(PET_dyn_path, t_PET_emi, t_PET_delta, anatomy, qc_path, IDIFVessels_path, IDIF_path, options)
if nargin < 7
options = get_default_options();
end
[IDIF_raw, TACs_selected, xyz, number_of_final_voxels] = extract_raw_IDIF(PET_dyn_path, t_PET_emi, anatomy, qc_path, IDIFVessels_path... |
32a723f57430e5df4a5bdb5382cf4f195eed564eb161f2661b9b207216f495e7 | MATLAB | 788 | 53 | function varargout = montageArray(A,clim)
[m1,m2,m3] = size(A);
n = ceil(sqrt(m3));
M = zeros(m1*n, m2*n);
k=0;
for p=1:m1:(n*m1)
for q=1:m2:(n*m2)
k=k+1;
if k>m3,
break
end
M(p:(p+m1-1),q:(q+m2-1)) = A(:,:,k);
end
end
if nargout == 0
if nargin == 1
i... |
92f676a1fb1ea02b9f45f8f0e4456e7e1ce13e1a212a97275f9d98d6dfec5efa | MATLAB | 788 | 17 | %% 非线性（动力学）特征：基于时域的熵 | nonlinear features: time-domain-based entropy
%% 香农熵 | Shannon Entropy
% 表征时间序列数据的复杂性（complexity）和规律性（regularity），值越大，时间序列越复杂、越不规律
% X: single channel EEG signal (either a row vector or a column vector)
% See also:
% feat_ApproximateEntropy, feat_SampleEntropy,
% feat_PermutationEnt... |
3a0a511e98f57580a1921956f2230b649237f0817cb8c908401521163018fe5c | MATLAB | 789 | 17 | function cfg = readDefaultCfg()
% Read the default project config from the default config YAML file.
%
% In the YAML file the optional fields ViewNames and LabelPointNames are left
% blank, and yaml.ReadYaml() represents a blank field as an empty double
% array ([]) rather than an empty cell array ({}). Down... |
5eea655d73335042f661eaab2d9a4c2640666f7e1dafae04e0b9ed9d5c11c576 | MATLAB | 789 | 28 | function BoundingBox=SafeBoundingBox(Image,BoundingBox)
ImageHeight=size(Image,1);
ImageWidth=size(Image,2);
if BoundingBox(3)>ImageWidth||BoundingBox(4)>ImageHeight
error('This box will not fit!')
end
if BoundingBox(1)<=0
warning('Adjusting X')
BoundingBox(1)... |
644a67ee98ae0f619762b079974608ef7f17f104622731c439241a1766f13d93 | MATLAB | 789 | 34 | function TF = tabularFactorMultiplyLogSpace(varargin)
% Multiply tabular factors in log space
% (currently does not do the logsumexp trick)
% T = tabularFactorLogSumExp(fac1, fac2, fac3, ...)
% Each factor is a struct as returned by tabularFactorCreate and has
% fields T, domain, sizes.
%%
% This file is from pmtk3.go... |
a75ce931d2a2471d5b4176973651ecb1a1f68065e57ed2d77ae14df5f9f8ad58 | MATLAB | 789 | 29 | function di_angles = get_tetrahedron_dihedrals(e,p)
v1 = p(e(:,2),:) - p(e(:,1),:);
v2 = p(e(:,3),:) - p(e(:,1),:);
v3 = p(e(:,4),:) - p(e(:,1),:);
v4 = p(e(:,3),:) - p(e(:,2),:);
v5 = p(e(:,4),:) - p(e(:,2),:);
n1 = cross(v2, v1);
n2 = cross(v1, v3);
n3 = cross(v3, v2);
n4 = cross(v4, v5);
di_angles(:,1) = vector_... |
bf8affa1b7dd7abb05245bb9d4ce86fa3776138c18f9ba04b0e995744be3b566 | MATLAB | 789 | 25 | function Draw_ROIs_Through_Cortex_3_Views(Anat,roi,Conn,params)
% This function displays hemispheres with ROI spheres and sticks connecting
% them in 3 views.
Px=0;
Py=-110;
Pz=-125;
Txt='+';
Ctxt=[1,0,0];
disp('<<< Drawing ROIs and sticks on transparent brains, please be patient')
figure('Color','w','Position',[50... |
cf5142c394b43c4fce376d63089d1a53c12759d41a54d2ff46da3b7009a2162b | MATLAB | 789 | 36 | function VBA_disp (str, options, carriageReturn)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% VBA_disp (str, options)
% display string or cell-arry of strings according to verbose option
%
% IN:
% - str: string or cell array of strings to display
% - option structure containing th... |
01885d8a16d7a76db69e2fb9351e852d0552946a1ee04ede24e06a8dda346efc | MATLAB | 790 | 25 | function extra = pmlUnusedDemoReport(bookSource)
% Generate an hmtl report of the PMTK demos NOT currently used by pml.
%
%% Input
%
% bookSource - path to the PML latex source containing e.g. pml.tex
% (default = C:\kmurphy\dropbox\PML\Text)
%% Output
%
%% extra - a cell array of the dem... |
1a6731265bbd39f416510f668bfb2efcebf7be98ead224fc788e934c9e36f68f | MATLAB | 790 | 35 | %% pdf_Normal: Normal Probability Density Function
%
% Usage:
% x = pdf_Normal(N, mu, sigma)
%
% Inputs:
% N scalar, number of samples
% mu mean
% sigma standard deviation
%
% Output:
% x vector with the sampled data
% if N==0... |
50067050a65605780b113e850e7417405ce0132838c8c8ca942dbe230e701858 | MATLAB | 790 | 29 | function [model, logev] = linregFitBayesZellnerPrior(X, y, g, preproc) %#ok
% Bayesian inference for a linear regression model using Zellner's g prior
% This file is from pmtk3.googlecode.com
[model.preproc, X] = preprocessorApplyToTrain(preproc, X);
[N,D] = size(X);
[Q,R] = qr(X,0);
wmle = R\(Q'*y); % posterior mea... |
57ecd8fccf734851bfaee85a5d39b6af6c8dd694fe1367201b33b9704ae296ae | MATLAB | 790 | 42 | % demo for GLM with missing data
clear all
close all
% generate data under GLM
n = 1024; % # observations
p = 8; % # regressors
d = 16; % # missing data in GLM design matrix
s = 1e0;
X = randn(n,p);
b = randn(p,1);
g = X*b;
y = g + s*randn(size(g));
% remove data in GLM design matrix
tmp = randperm(n*p);
Xmd = X;
Xm... |
e9cb469979ecdc674ef1c04108f0f9a49b36fcc1f76650bab104229cfefc6f36 | MATLAB | 791 | 20 | function pt = plot_square(ax,x_boundary,y_boundary,stretch_ratio,color,varargin)
if (nargin < 4) || isempty(stretch_ratio)
stretch_ratio = 1.5;
end
if (nargin < 5) || isempty(color)
color = 'r';
end
args = func.get_args_set_default(varargin,'FaceColor','none','EdgeColor',color,'LineW... |
19ac8d5da2017a3a098c1a541d2d3e88df1113c779d2541cebc1acf957140172 | MATLAB | 792 | 43 | function [P] = multiSigmoid(X, w)
% Softmax function
%#eml
% X is n*d
% w is d*(C-1) last column is all 0s
% P is n*C
%
% Based on code by Balaji Krishnapuram
% This file is from pmtk3.googlecode.com
[N,d]=size(X); %X->Nxd
W=reshape(w,d,[]);
M=size(W,2)+1; % M = nclasses
% Activation for the sigmoids:
a... |
9b44b3d12849b3b6d8f2c35388d8a3eab2d1e9e3f3ba898570fdfc0daf51f1b5 | MATLAB | 792 | 15 | atlas_img = 'E:\Project\AHBAenrich\rawdata\brain_atlas\brodmann.nii';%% recepter matrix of brodmann
v1 = spm_vol([atlas_img]);
[AAL_image, XYZ] = spm_read_vols(v1); %256*256*256
XYZ = XYZ';
roi=unique(AAL_image(:));roi(1)=[];
v_test = v1;v_test.fname = atlas_img;img_test = zeros(size(AAL_image));
mean_MNI = zeros... |
de5f1417cd768ff30d7a974b9ecbe25d7923f0cdd88a9153cdb208e09a002d28 | MATLAB | 792 | 25 | %% Classify the MNIST digits using a one nearest neighbour classifier and Euclidean distance
%
% Compare to mnist1NNdemo, which uses various tricks
% to scale things up
% This file is from pmtk3.googlecode.com
loadData('mnistAll');
trainndx = 1:10000;
testndx = 1:1000;
ntrain = length(trainndx);
ntest = length(tes... |
de73c4e35d4d7bce246afa3d64d879675c59be29574bc4d9e78107eff5cc400c | MATLAB | 792 | 21 | function candoit = canGetPrecon(problem)
% Checks whether a preconditioner was specified in the problem description.
%
% function candoit = canGetPrecon(problem)
%
% Returns true if a preconditioner was specified, false otherwise. Notice
% that even if this function returns false, it is still possible to call
% ... |
24d560d3179e1d73c96511eabe69157167a617509556e014f429f491036c1bf8 | MATLAB | 793 | 28 | % calc euclidian distance between all pairs of ROI file
% Muriah Wheelock 11.2.2017
roi_radius = 4; % change this to your roi radius
datadir= ('/path to roilist.txt');
a=importdata(strcat(datadir,'roilist.txt')); %expects collumn 1 = x,2 =y, 3 = z
x=a(1:end,1);
y=a(1:end,2);
z=a(1:end,3);
for i = 1:leng... |
3f874c3a61e63274d2421f1ada9c497c206e735047c2df23705eb04a4da92ee4 | MATLAB | 793 | 28 | % - calculate the perturbation responses based on linear analysis
% Transpose the connectivity matrix 'w' to obtain 'W'
W = w';
% Calculate the matrix 'A' using the inverse of the identity matrix minus 'W'
A = inv(eye(N) - W);
% Initialize an empty array to store the differences in response rates
dr_all = [];
% Loo... |
1d63709d5a0e33ceaf05943a4b97a9014f8ade9e91e0ceb58012fb26e1e73e34 | MATLAB | 794 | 30 | % ShortenFluorescenceWarningPeriods.m
% Sarah West
% 7/31/23
function [parameters] = ShortenFluorescenceWarningPeriods(parameters)
MessageToUser('Shortening ', parameters);
% Pull out input values
indices_to_shorten = parameters.indices_to_shorten;
data = parameters.data;
shorten_dimensions = par... |
e28dd501df5fe8d0d86d635d68213ca0fc6b35f05c634ae4ed43fc33c477516a | MATLAB | 794 | 31 | % GLEGQUAD Gauss-Legendre quadrature nodes and weights.
%
% [X,W] = GLEGQUAD(N) produces the nodes and weights X and W, respectively,
% of the Gauss-Legendre quadrature rule of order N on [-1,1].
%
% [X,W] = GLEGQUAD(N,A,B) produces the quadrature rule on [A,B].
%
% See also GPGW.
function [x,w] = glegqua... |
20a3d8131471fb7ff190cf9c378e6353275cc994c1cbc81ed08e26f5a3ff20e7 | MATLAB | 795 | 20 | function h = htmlTagKey(tableAlign)
%% Return the html text for the demo/synopsis tag legend table
% This file is from pmtk3.googlecode.com
if nargin == 0, tableAlign = 'right'; end
tableData = ...
{
'S' , 'stats toolbox needed' , 'I' , 'interactive (user input required)'
'B' , 'bioinformatics toolbox needed... |
5f06f7b4f9484eab9dbc6b1965c801a36dfd28c3a320ab55a354ed11ab8248fa | MATLAB | 795 | 23 | function [indices] = splitArrayIndices(inputarray_dims, dim, chunksize)
% Similar to linspace, given an array and a desired chunk size, this
% function returns an array of indices separated by chunksize. The last
% entry may be less than chunksize.
indices = [1]; ctr = 1;
while (ctr<inputarray_dims(dim))
next = mi... |
8180d3df72377f79e7e4d18660b99c652f27f8aec1bf8213709dabae771fd1b6 | MATLAB | 795 | 34 | function [gx,dG_dX,dG_dPhi,d2G_dXdPhi] = g_ERP(x,Phi,u,inG)
% neural mass observation function (DCM for ERPs)
n = size(x,1); % should be 9
nPhi = length(Phi); % should be 1
g = exp(Phi(1)).*[0 0 0 0 0 0 0 0 1
0 0 0 0 0 0 0 0 0.3
0 0 0 ... |
b040aec41d51060c75b40b953313e762b36d7b2205fb7456e3710f640cc447ea | MATLAB | 795 | 34 | function [eout p] = remove_unused_nodes(ein,p,nnpe)
% Removes the nodes from 'p' that are not being used/referred in 'e'.
% The return 'e' is renumbered based on new list of nodes.
% Only supports hexahedrons, tetrahedrons and triangles
% ein: elements
% p: coordinates
% nnpe: optional number of node per element value
... |
5735d6c0997b2641e847e0fff6871f32039952a52b0b3ddcd6161f4538c802ac | MATLAB | 796 | 24 | % Author: Birgit Nierula
% nierula@cbs.mpg.de
%% Define individual interpolation windows
srmr_nr = 2;
ana_dir = '/data/pt_02151/';
bids_dir = '/data/p_02151/SRMR2_experiment/bids/';
cfg_path = [ana_dir 'analysis/manuscript_sep/scripts/cfg_srmr2/']; % here is important info for the analysis
% Add paths
addpath('/data... |
d806058d03777a18f4bd76ab51e40ff66a65f8e6b359cb46bf2ba7802e174a90 | MATLAB | 796 | 19 | function s = prob_matrix_to_site_struct(si,P_matrix_label,idx)
% si -> struct result of import.import_simulation_files
% with fields 'P_indpt' and 'P_cprob'
% P_matrix_label -> either 'P_indpt' and 'P_cprob'
% si.(P_matrix_label)
% idx -> index of the 'P_indpt' or 'P_cprob' cell array
% if... |
200f837b75b75fdd6fde20231cca5fbef0403a237e5e187159e12781db37f0ba | MATLAB | 797 | 24 | function e = end(X,k,n)
%END Last index of indexing expression for sptenmat.
%
% The expression X(end,:) will call END(X,1,2) to determine
% the value of the first index.
%
% See also SPTENMAT, SPTENMAT/SUBSREF, END.
%
%MATLAB Tensor Toolbox.
%Copyright 2015, Sandia Corporation.
% This is the MATLAB Tensor Toolb... |
9f1825ef49e7a48e3bed2a69cfb3b3363fa74574ab93b57c0da4aa0ebd284b3d | MATLAB | 797 | 34 | function [pVal rate bsln] = ResponseAssess(spk, evt, param)
% unpack parameters
bB = param.bslnWin;
rWin = param.responseWin;
bW = param.binWidth;
pol = param.responsePolarity;
sided = 1;
if pol == 0
sided = 2;
end
bE = [rWin(1):bW:rWin(2)];
nBins = length(bE) - 1;
if iscolumn(evt)
evt = evt';
end
bCount = ... |
caaa9138f7646f60c9308d24188c8f14c0635a9043d188793b57446afbf17850 | MATLAB | 798 | 25 |
function W = y_kendallW(Data)
% Calculate Kendall's W (also known as Kendall's coefficient of concordance) for a 3D matrix. Based on https://en.wikipedia.org/wiki/Kendall%27s_W
% FORMAT W = y_kendallW(Data)
% Data - the data (before ranking). object x judge x instance
% Output:
% W - Kendall's W (also know... |
d991e4b494c6650daf8a1a0fee99408c0d21a59125af350d0c51d573f59f8e99 | MATLAB | 798 | 19 | function [ClockSorted,Index] = ClockWiseSort(NewVertices)
NewCell = 1 : size(NewVertices,1);
NewCellLength = length(NewCell);
% first we need to find the center of mass of the vertices
if NewCellLength == 1
Center = NewVertices(NewCell,:);
else
Center = sum(NewVertices(NewCell,... |
0871a66cbc17011cb367c952856ac861555f438cf0be91995db900e5b44d05b6 | MATLAB | 799 | 19 | function max_pool_size = concurrency_size_in_downsample_apply(cond)
loadParameters;
if ~isfield(params,'DOWN_SAMPLING_MAX_POOL_SIZE')
main_mem_usage = params.MATLAB_PROC_CONTEXT;
par_worker_mem_usage = 2 * cond.imgsize_dbl + params.MATLAB_PROC_CONTEXT;
max_pool_size = min(params.NUM_RO... |
26844bd2f6362c2cc0f8e65543a8d112ca694684a380eb8f45acaa642ec93114 | MATLAB | 799 | 30 |
function [SortedMatrix,maxIndex]=SortThisMatrix_Mean(whamatrix,fromhere,tohere,SortWithThis)
dbstop if error
if isempty(SortWithThis)
maxIndex=[];
maxValues=[];
for as=1:size(whamatrix,1)
this=whamatrix(as,:);
thisMax=nanmean(this(fromhere:tohere));
maxIndex=[maxIndex;thisMax(1)]; %... |
3fc9fbe54ffb5681277969f9c5918d8df52bce719cd48e14b74afef91e934b2d | MATLAB | 799 | 18 | % This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,... |
88761af8a27d53ad75272a9cc2ced96ce3e07eb09c75482ee8f86b5107bb155f | MATLAB | 799 | 29 | function SetFigureSize(hfig,width,height)
screen_size = get(0,'ScreenSize');
old_units = get(hfig,'Units');
set(hfig,'Units',get(0,'Units'));
pos = get(hfig,'Position');
center = pos(1) + pos(3)/2;
middle = pos(2) + pos(4)/2;
pos = [center-width/2,middle-height/2,width,height];
% make sure it is on the scre... |
d9fa32ce0ea22bff276543a79facc7d3323bfcef82b3e8e3da9dfc3735ef1314 | MATLAB | 799 | 38 | function out = crossProduct(varargin)
%% Return the cartesian product, (all combinations) of the input lists
% out = crossProduct(A, B, C, ...) each row of outcontain all combinations
% of A, B, C, ... Example
% C = crossProduct(1:2, 2:4, 3:4)
% 1 2 3
% 2 2 3
% 1 3 3
% 2 3 ... |
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