sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
4d5cab3f3ec67f44b29ae51eb551e998dab511841922011f73535da0dd6f14b6 | MATLAB | 2,369 | 66 | function essential_svd
% Sample solution of an optimization problem on the essential manifold.
%
% Solves the problem \sum_{i=1}^N ||E_i-A_i||^2, where E_i are essential
% matrices. Essential matrices are used in computer vision to represent the
% epipolar constraint between projected points in two perspective vie... |
b5c3f4a3c72a1a2f2a2a2722f52e77e2e90b32619cd5ef15293b7f201a4253d9 | MATLAB | 2,369 | 62 | function bfUpgradeCheck(varargin)
% Check for new version of Bio-Formats and update it if applicable
%
% SYNOPSIS: bfUpgradeCheck(autoDownload, 'STABLE')
%
% Input
% autoDownload - Optional. A boolean specifying of the latest version
% should be downloaded
%
% versions - Optional: a string sepecifying the v... |
b5e99a4bc7aaaa278cc74fa3abac8e526c0f128ec7ee722fb5fbc1b9bd8a83c7 | MATLAB | 2,370 | 90 | function [coef] = lan_thetavsdelta(LAN, cfg, sample)
% cfg :
% chan : channel
% th_freq : theta frequency range
% de_freq : delta frequency range
% win_len : sliding window length (seconds)
% twin : time windowing function : hann|hamming
% step : sliding window step (points)
if ~isfield(cfg, 'chan')
disp('Default ... |
1b2670e86c59a5f04e263457864cfbc816bf519e3976ad2facb16739fc5822e5 | MATLAB | 2,371 | 75 | function A=mkfilt_eloreta_v2(L,regu);
% makes spatial filter according to eLoreta
% usage A=mkfilt_eloreta_v2(L); or A=mkfilt_eloreta_v2(L,regu);
%
% input L: NxMxP leadfield tensor for N channels, M voxels, and
% P dipole directions. Typically P=3. (If you do MEG for
% a spherical volume cond... |
0f78c32f6e35ae7d994a82da42f4b03ce161594470edf14be6cce1fb7c29d9a9 | MATLAB | 2,372 | 66 | clear
close all
% Load neuronal PSY regressor and PPI regressor calculated by SPM PEB
load(fullfile(pwd,'examples','01_Simulated_Block_Design_[TR_2s]_[NT_16].mat'))
% Setup variables
TR = 2; % Time repetition, [s]
NT = 16; % Microtime resolution (number of time bins pe... |
202ed9eccacaa767d8c50fc28ccd81e9e2acbaa001a24e300dd0cc6cb971714b | MATLAB | 2,372 | 94 | %GETDSV reads a Siemens IDEA file in DSV format
% tmax = getDSV(f)
% f filename
% tmax maximum time in seconds
%
% [t, y, Fs] = getDSV(f, tmax)
% t time of samples in microseconds
% y sample values
% Fs sampling rate in Hz
%
% Author: Christian Labadie, 2008-2012
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
469295e56832adfbddd6335821396d5016797e59aeedd02e23a9dcaf69bd3dba | MATLAB | 2,372 | 88 | function waves = LoadUnitWaves(unit, baseDir, varargin)
unit = unit(1);
unitInfo = strsplit(unit.name, ' ');
trode = unitInfo{3};
[wL nChan] = size(unit.meanWaveform);
pk = unit.peakLoc;
uFs = unit.Fs;
tStart = unit.taskStart;
tEnd = unit.taskEnd;
% hard-code custom waveform stats here
wL = 72;
task = '';
batchSize... |
4cf17e2a65657baea2797f71f4fd76ffd7d38686260700702cad1406ce5fea02 | MATLAB | 2,372 | 101 | % 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,... |
94477cfe073db97c43832376c79832fffa985a5c4f22a6855436b0457b8c6ef3 | MATLAB | 2,372 | 88 | function z = eq(x,y)
%EQ Equal (==) for sptensors.
%
% A == B compares the elements of A and B for equality. The arguments can
% be a pair of sptensors, an sptensor and a tensor, or an sptensor and a
% scalar. Regardless, the result is always returned as a sparse tensor.
%
% See also SPTENSOR.
%
%MATLAB Tensor... |
1f13e278f4c5d2369938d54bffbd589fa32e07be04014ffda519a930c1a428ad | MATLAB | 2,373 | 95 | function [issame,fns] = structcompare(s1,s2,varargin)
[prefix,verbose] = myparse(varargin,'prefix','','verbose',false);
fns1 = fieldnames(s1);
fns2 = fieldnames(s2);
fns = union(fns1,fns2);
issame = ismember(fns,fns1) & ismember(fns,fns2);
for i = 1:numel(fns),
fn = fns{i};
if isempty(prefix),
fp = fn;
... |
731be1312ccf3eee50351eacdb9a1b7195b3dfb0d9eeb978d323e178bd33c065 | MATLAB | 2,373 | 65 | function [xyzshift,I_shifted] = get_xyzshift(A1, B1, toshift, pixel, rmax, xyzshift, distance)
% Gets and applies xyzshift for two images that we desire to register
% Based on "get_enrichment_3dMatrix_final.m" (author info below)
% Updated 01.26.10 by Sarah Veatch.
% Modified 02.18.14 by Aihui Tang.
% Last updated 10... |
a2f6680f014554ca5e93f869420098f200189be283ac46e616f3636fdb9184c5 | MATLAB | 2,373 | 89 | function [max_mem] = ttm_me_mem(X, U, edims, sdims, tflag)
%TTM_ME_MEM Estimates intermediate memory comsumption for ttm_me.
%
% MAX_MEM = TTM_ME_MEM(X, U, EDIMS, SDIMS, TFLAG) estimates the memory
% comsumption used in the TTM_ME function. Here, X is a sparse tensor
% (sptensor), U is a cell array of matrices of ... |
ecd2f5b9994d598c6f42d7761cd3df18760790ba3eaa369ee12b85e3fbb9c6af | MATLAB | 2,373 | 86 | function y = d2b(x, nBits)
% Convert decimal numbers into a logical array, least significant digits
% first. The function is meant to work on integers and the fractional
% part is truncated. Adds a trailing dimension for binary digits.
% Optional argument nBits pads or truncates most significant bits so that... |
b95b1e92fd51b1b1fbd9282a448c368cc63dd48ee019c36eb97426d423471582 | MATLAB | 2,374 | 75 | function tilefigs(tile,border)
% <cpp> tile figure windows usage: tilefigs ([nrows ncols],border_in pixels)
% Restriction: maximum of 100 figure windows
% Without arguments, tilefigs will determine the closest N x N grid
%Charles Plum Nichols Research Corp.
%<cplum@nichols.com> 7... |
5d364f1e0059029c6a0ae03b5e46d08d7b5b08f9a40f559ad5ba8a91612fc5d7 | MATLAB | 2,375 | 93 | function x = stdrinvZN(p, v, r)
%STDRINV Compute inverse c.d.f. for Studentized Range statistic
% STDRINV(P,V,R) is the inverse cumulative distribution function for
% the Studentized range statistic for R samples and V degrees of
% freedom, evaluated at P
% Copyright 1993-2004 The MathWorks, Inc.
% Based on ... |
04d6a1015905c0dc23b3ed2f398f2579386e514b816cf28f08f64f8bb28bb3cc | MATLAB | 2,377 | 77 | function generateSynopses(wikiFile)
%% Generate the synopses listing files and one line desriptions
% PMTKneedsMatlab
% This file is from pmtk3.googlecode.com
if nargin < 1
wikiFile = fullfile(getConfigValue('PMTKlocalWikiPath'), 'synopsisPages.wiki');
end
dest = fullfile(pmtk3Root(), 'docs', 'synopsis');
googleR... |
b1b70a0e745cb7f8f96ce52b3ece3805e79692e2ec4581f2d97b9eb0f3a799cb | MATLAB | 2,377 | 83 | function [gx,out,dgdp] = VBA_odeLim(Xt,P,ut,in)
% collapses evolution and observation functions for ODE limit inversion
% function [gx,out,dgdp] = VBA_odeLim(Xt,P,ut,in)
% This function evaluates the evolution/observation functions that are
% embedded in the observation function of a deterministic (ODE) state-space
% m... |
e2ffdebf6d0634e0efa33664fda1e05616fdbdd314ae35f1e69d8da4899617b1 | MATLAB | 2,377 | 73 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% bem_1_visualize_dipoles.m %%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% load BEM-FMM engine and utils
restoredefaultpath;
addpath(fullfile('../engines/bem_fmm_e... |
e88ef83f8d127f183e3a0c2de7bb498a549c5e232e74acd4e46297e03d83caf8 | MATLAB | 2,377 | 103 | function ConfString = bitseqquattro(fsamp, nchannel, highpass, lowpass)
switch fsamp
case 512
Fsamp = 0;
case 2048
Fsamp = 8;
case 5120
Fsamp = 16;
case 10240
Fsamp = 24;
end
switch nchannel
case 120
nchan ... |
733b90e300d00a537b9f025b15d372ecc2030571124c1e03011cccb750b688a9 | MATLAB | 2,378 | 79 | function compare3dMovie(outf,fmov,smov,matfilef,matfiles,outfile)
%%
[readframe_front,~] = get_readframe_fcn(fmov);
[readframe_side,~] = get_readframe_fcn(smov);
rdf = load(matfilef);
rds = load(matfiles);
FRONTOUTPUTTYPE = 1; % output of MRF
SIDEOUTPUTTYPE = 1; % output of raw detector
rdf.locs = permut... |
7807c6ca7e6ac40ed074f2171a065219bed0090ed60c4f1b9199af70dfad2c93 | MATLAB | 2,378 | 60 | function opts=Config_FormatCorrDynamic(GlobalOpts,varargin);
%% Arguements for wrapping function
% opts.Dates={'20150413' '20150415','20150424'}; Note that 20150415 has
% only 7 NoGo trials
opts=GlobalOpts;
opts.PlotShuffle=0;
[varargin,opts.Dates] = Utilities.ProcVarargin(varargin,'Dates',{opts.Dates});
[... |
f0b76569c808f521cb53187e8411bfecf3e96313b596fe3e92aeb848370b4e8b | MATLAB | 2,378 | 77 | classdef DataSummaryGraph < handle
%
%
%
%<PRE>
% This file is part of dspace-core.
%
% Copyright (C) 2020 University Zurich, Sepp Kollmorgen
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU Affero General Public License ... |
fba0bed54ad1f37fe4d127f6367947386d19a48c609341c9acdd485fe584ba5e | MATLAB | 2,378 | 105 | function writeras(filename, image, map);
%WRITERAS Write an image file in sun raster format.
% WRITERAS('imagefile.ras', image_matrix, map) writes a
% "sun.raster" image file.
% Written by Thomas K. Leung 3/30/93.
% @ California Institute of Technology.
% PC and UNIX version of writeras - Jean-Yves Bouguet... |
1af992b44601ad108f9f7831765cee45105fd55a6d58fdfc141b009dc1afe2df | MATLAB | 2,380 | 67 | function [Kernel, features, D] = build_kernels_noPiP(datadir, hmmdir, kerneldir, HMM_name, Fn, Kn)
% [Kernel, features, D] = build_kernels_noPiP(datadir, hmmdir, kerneldir, HMM_name, Fn, Kn)
%
% build kernels from HMMs using only state parameters (no transition
% probabilities and initial state probabilities)
% (wrapp... |
a2195109e49edb3fca9f9f3841a680cd6d03e95e34fc22ce54a18288db401271 | MATLAB | 2,380 | 56 | classdef CBIG_gwMRF_unit_test < matlab.unittest.TestCase
%
% Target project:
% Schaefer2018_LocalGlobal
%
% Case design:
% Schaefer2018_LocalGlobal already has unit test script, here
% we call its unit test script and automatically
% make judgement on whe... |
bd46f148fad34e9e3d2833f7b30527a0dc1580874aa5ffa7b4a17f204e09984d | MATLAB | 2,381 | 80 | %% Set metadata
resultsPath = 'D:\GAD67 results\Test\';
fileName = 'mb062_deep1_201014';
mouse = 'mb062';
belt = 'uncued';
layer = 'deep';
fov_code = 'deep1';
sr_img = 8; %sampling rate
si_img = 1/sr_img*1000; %sampling interval
date = datetime(2020,10,14);
% fov size
d1 = 200; % x axis in pixel
d2 = 200; % y axis in... |
830b01be9d817ba68e4e385f48fc341b95c41faf8a9d06a5d194c6d74a2692cd | MATLAB | 2,382 | 69 | % Main script for the state switching MR practice (October 2017)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%% enter subject ID & task variant %%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
prompt = {'Enter subject ID:','Enter paradigm (dynamic/words/visual):'};
dlg_title = 'StateSwitch Input';
num_lines = 1;
defaultans = {'00... |
3ef7dc13b2d551bdb5d711508be587d43abcc62df0765f8e40fc4d08360429bf | MATLAB | 2,384 | 80 | function M=movsc2wv(N,Np);
%MOVSC2WV Movie illustrating the passage from the scalogram to the WVD.
% M=MOVSC2WV(N,Np) generates the movie frames illustrating the passage
% from the scalogram to the WVD using different smoothing gaussian
% windows in the affine smoothed pseudo-WVD.
%
% N : number of points for the sign... |
8c866c0d2529ecd75f70a0192fca1565efe7edbc76632b619831bf21b6f99939 | MATLAB | 2,385 | 66 | function[slope,intercept] = fitMMD(datasource,datatarget,calpvalue)
%% function[slope,intercept,pvalue] = fitMMD(datasource,datatarget,calpvalue)
%% Inputs: datasource and datatarget are related to the one dimension measurement of interest; if calpvalue=1, return pvalue, else, return 2.
%% Outputs: slope, intercept for... |
246c70377495858ba4e0f7cace5988ce1ba17108c2ca6e4a1baba199193bbe4c | MATLAB | 2,386 | 70 | function gradfd = getGradientFD(problem, x, storedb, key)
% Computes an approx. of the gradient w/ finite differences of the cost.
%
% function gradfd = getGradientFD(problem, x)
% function gradfd = getGradientFD(problem, x, storedb)
% function gradfd = getGradientFD(problem, x, storedb, key)
%
% Returns a finit... |
299eba83911f9c05d7aa08732c0982732645071831c74d2b6e739f9a82d3c88a | MATLAB | 2,386 | 80 | function P = ggmFitMinfunc(G, X, C)
% MLE for a GGM using gradient method
% Usage:
% precMat = ggmFitMinfunc(G, X) % X is N*D
% or precMat = ggmFitMinfunc(G, [], C) % C is cov(X) D*D
% This file is from pmtk3.googlecode.com
%PMTKauthor Mark Schmidt
%
% Basically the same code as GWishartFit, except we use the
% unr... |
92720f73e58aecef4fd02935f703c9694e47758aa3fbdde8f6664d93acdde966 | MATLAB | 2,386 | 1 | % TSEDIT Flexibly edit tsdata information.
% TSEDIT(TSDATA,MATCHCODES,EDITCODES) edits TSDATA based on MATCHCODES
% and EDITCODES. MATCHCODES denotes a cell array of match definitions,
% and EDITCODES denotes a cell array of edit information vectors.
%
% The format of each vector is [MATCHNUM MATCHPOS NEW... |
d6d094621424e8f95e545d8c0ce79152e46a3dbe2e82cf3677613a6b9f2dc7f4 | MATLAB | 2,387 | 63 | function [fx] = f_Hampton(x,P,u,in)
% Hampton's "influence learning" model: evolution function (Hide and Seek)
% function [fx] = f_Hampton(x,P,u,in)
% Hereafter, the learner is referred to as the "agent", whereas her
% opponent is referred to as the "other".
% Let p=P(o=1) be the agent's prediction of the other's next ... |
e7e969569af443c89f6dacdc45da7b6735fef1cd8cba5f939ed7188431328969 | MATLAB | 2,387 | 46 | % CLASSIFY
% See also
%
% Clustering:
% demoCluster - Clustering demo.
% demoGenData - Generate data drawn form a mixture of Gaussians.
% kmeans2 - Fast version of kmeans clustering.
% meanShift - meanShift clustering algorithm.
% meanShiftIm - Applies the meanShift al... |
933576366bb9d88ed201c1d75bc22e0a5925b25103fb0e96770d21e7537453df | MATLAB | 2,389 | 57 | function success_code = registerWithCorrespondencesInParallel()
loadParameters;
run_num_list = 1:params.NUM_ROUNDS;
run_num_list(params.REFERENCE_ROUND_WARP) = [];
arg_list_1 = {};
arg_list_2 = {};
arg_list_3 = {};
postfix_list = {};
for run_num = run_num_list
arg_list_1{end+1... |
df01ae785544ea2f14268743dd1c48c1fedf991c9f33882666262010b5f1a120 | MATLAB | 2,389 | 87 | classdef AxesHighlightManager < handle
% Handle highlighting of axes for 'special' frames, used by eg GT mode
properties
hAxs % vector of axes to which hiliting is applied
tfHilite % scalar logical, current hilite state
tfHilitePnl % scalar logical. If true, hilite panel; otherwise hilite axes
... |
0499ff762747da8d29a1b0cf97f2f1bdfb88cb9b7d438d44b87b27b0b18813bf | MATLAB | 2,390 | 80 | function traj = CalculateMotion(aChip1, aChip2, param)
% unpack inital conditions
x = param.x; % position vector (of board center relative to box)
Oz = param.Oz; % vector specifying orientation of board top
Oy = param.Oy; % vector specifying orientation of board front
v = param.v; % linear velocity vector
w = par... |
24e232142e1a956e406d976a999d79f019977ce1246a4d983279f2ee4d15ba56 | MATLAB | 2,390 | 69 | classdef TrackingVisualizerBase < handle
% Tracking Visualizer base class; mostly for doc
%
% TrackingVisualizerBase provides an interface for TVs, currently related
% to frame updates and cosmetics. Clients like LabelerController have
% common needs regardless of visualization type.
%
% *Frame updates, direct*
% Some ... |
51ca0df6b55a95831312879322344ff7a925308b0fcdfeca581987c15ae6eb41 | MATLAB | 2,390 | 91 | %% An illustration of least squares projection
%
%%
% This file is from pmtk3.googlecode.com
function leastSquaresProjection()
setSeed(2);
n = 3;
d = 2;
W = 0.05*[1; 1];
%X = 0.1*randn(n,d);
X = [1 1 1; 2 -2 2]'
y = X*W + 1*randn(n,1)
wHat = X \ y;
yHat = X*wHat;
% check that residual is orthogonal
X'*(y-yHat)
% ... |
f45c707b0da899dd18f9dab35dd880032a01a9392c4884500dc5bed5e65a4930 | MATLAB | 2,390 | 73 | function [XL,XR] = stereo_triangulation_extrinsic(xt,xtt,om,T)
% [XL,XR] = stereo_triangulation(xL,xR,om,T,fc_left,cc_left,kc_left,alpha_c_left,fc_right,cc_right,kc_right,alpha_c_right),
%
% Function that computes the position of a set on N points given the left and right image projections.
% The cameras are assumed t... |
f8e0aba4a72597635f98a78c9216468fb2ad78dc62be335c411b243cd6c289b5 | MATLAB | 2,390 | 70 | % LSEDC Equality-constrained linear least squares using deferred correction.
%
% X = LSEDC(LSFUN,A,B,C,D,TAU) produces the solution X to the equality-
% constrained least squares problem
%
% MIN. NORM(A*X - B) S.T. C*X = D
%
% by solving the unconstrained weighted least squares problem
%
% MIN. NO... |
087b5c65bc84fc62bf5c7be70ce8839b08d605c69ce79a5375104abb38c8c333 | MATLAB | 2,391 | 67 | %% SAT - app_input::
%% getPpDataFromDirectory
% Name: Phone Kyaw
% Date: 09/19/2024
% Description: Get PP data from multiple PP files
% Parameter: pp_files - A cell array containing files' path
% Return Value: pp_cell - Nx1 cell array where each row contains Mx2 cell for
% ... |
1d5241b708bb38a2d1daa5350d52d0f5834eacd19948d08baf216d1bbbde0fe9 | MATLAB | 2,391 | 74 | classdef SBFMFRecording < VideoRecording
properties
highlightForeground = false % TODO: expose a UI to set this
end
properties (Transient)
sbfmfFile
haveImageToolbox
end
methods (Static)
function canLoad = canLoadFromPath(filePath)
... |
80c4a10f71ddef6d5d3937ce2626f18a0aa73f5ae17397915be09abb93db9594 | MATLAB | 2,391 | 66 | function [y1,y2] = toolboxHeader( x1, x2, x3, prm )
% One line description of function (will appear in file summary).
%
% General commments explaining purpose of function [width is 75
% characters]. There may be multiple paragraphs. In special cases some or
% all of these guidelines may need to be broken.
%
% Next come... |
ad6726eeb1179c5cb1bf70861ccf2465740800f38c793de2b37b22f5d0cb7ab8 | MATLAB | 2,391 | 67 | classdef NoldusImporter < FeaturesImporter
properties
end
methods(Static)
function n = typeName()
n = 'Noldus';
end
function c = canImportFromPath(featuresFilePath)
c = false;
if exist(featuresFilePath,... |
4e6dca14c61fe070c1aec3414b74604956e31979475ef6622d65248069c23583 | MATLAB | 2,392 | 79 | % Define cells LIP_MIP_HandEye
%% ------------------------------------------------------------------------
% 20211004
unitIdxLIP_Tin = [26 29 32 44 46 49 61 69 71 93 103 141 157 163 188,...
205 212 220 221 249 253 256];
% Map maybe: 2 3 34 44 46 49 53 57 60 89 93 103 105 121 129 133 134 141 152 157 163
%... |
ff7e8154c86ff22ffde107bc29649d05e0eae19ec913f020bfc6682c367008a7 | MATLAB | 2,392 | 85 | function decVec = decode_success_par_new(data,winsize,stepsize,prctokeep,seed)
%% test
%close all
%T=969;
%sig=zscore(cumsum(randn(T,18)));
%data=0.5*randn(T,18,32)+repmat(sig,1,1,32);
%winsize=25;
%stepsize=25;
%prctokeep=1;
%
% data is in format time x space x subjects
% winsize is a number of le... |
29faf23c60e2eef0bf24f481800704349079d5d2ec8a132836f81e91bd636353 | MATLAB | 2,393 | 85 | function [x,y] = ldsSample(F, H, Q, R, init_state, T, models, G, u)
% Simulate a run of a (switching) stochastic linear dynamical system.
% [x,y] = switching_lds_draw(F, H, Q, R, init_state, models, G, u)
%
% x(t+1) = F*x(t) + G*u(t) + w(t), w ~ N(0, Q), x(0) = init_state
% y(t) = H*x(t) + v(t), v ~ N(0, R)
%... |
c4fbe96e87094e601a2f90cccd97d39e413fb309c0e9590b4542ea335f1d42e2 | MATLAB | 2,393 | 70 | function mix = mygmminit(x,centres,idx,covartype)
%GMMINIT Initialises Gaussian mixture model from data
%
[ndata, xdim] = size(x);
k = rows(centres);
mix = gmm(xdim,k,covartype);
I = eye(k);
post = I(idx,:);
mix.centres = centres;
% Arbitrary width used if variance collapses to zero: make it 'large' so
% that centre i... |
c7a407ce11232537045b4728b01bc7b7a7e3a335e7f063626387fe4fb0d41326 | MATLAB | 2,393 | 61 | function mono_res = bz_GetMonoSynapticallyConnected(basepath,varargin)
%% Method for estimating likelihood of monosynaptic connectivity based off of relative spike timing
% Based off of Stark and Abeles 2009 and verified for PYR -INT in English et al., 2017
% Assumes network synchrony is low frequency and that synapse... |
020d0112b6d649738dd1804209403ca6808e8b1f71cf9a6542fa79204c45f35c | MATLAB | 2,394 | 106 | % 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,... |
657ed5201bcf8bd332395541e9a49814cf7e9b565d627cb2c7c2fe126593f2bf | MATLAB | 2,394 | 54 | % Copyright Christopher Fricke, University Leipzig Medical Center,
% Neurology 2024
close all;
clear;
datafolder = 'Resting State Connectivity Analysis\results\HCP\datscan_learning';
d1 = dir(fullfile(datafolder,'firstlevel','avg','grouproi'));
for i = 3:length(d1)
matlabbatch = [];
matlabbatch{... |
d112825a2f14399fa4a397c49c1a1ae6eaa962d5440eec4e71ba836dedcd667d | MATLAB | 2,394 | 74 | %resnet50for feature extraction 26/3/2020
%acuracy 91.88 data set of 10 printer
% accuracy rearranged dataset of 10 printer
clc
close all
clear
% images=testreaddata();
images=imageDatastore('D:\Doaa_PHD\PHD2020\2nd paper\code\custom cnn48\KDEF','IncludeSubfolders',true,'LabelSource', 'folderna... |
fefea2248cf2efb3542e59d051dfe6c12c1a9f09702a69025283923c713a9666 | MATLAB | 2,394 | 68 | function [fx,dfdx,dfdp] = f_Qlearning(x,P,u,in)
% // VBA toolbox //////////////////////////////////////////////////////////
%
% [fx,dfdx,dfdP] = f_Qlearning(x,P,u,in)
% Reinforcement-learning evolution function for a n-armed bandit task
%
% An RL agent learns by trial and error. A bandit task is such that, after
% eac... |
13ffac016f50f46f5f5fced656c03ef3eb3e7b3466683c55652eded88437a842 | MATLAB | 2,395 | 84 | function newdata = ...
wlSynth_traceAddNoise(olddata, samprate, colortype, ...
noisef1, noisef2, noisepower, powerf1, powerf2)
% function newdata = ...
% wlSynth_traceAddNoise(olddata, samprate, colortype, ...
% noisef1, noisef2, noisepower, powerf1, powerf2)
%
% This function adds noise to a signal.
%
% "... |
e0de8cd47dd9dee882d628587388fd88afe2a330bf6fa59f55cc7337076f760e | MATLAB | 2,395 | 73 | function blockstimulus = returnFixMovie(screensize, imEnsemble, listfixations)
% returnFixMovie - Generates a movie of fixations using an image ensemble
%
% Syntax: blockstimulus = returnFixMovie(screensize, imageEnsemble, listfixations)
%
% Inputs:
% screensize - [Ny, Nx] size of the monitor, always [600, 800] for... |
390fec0854674d1e2be7458fe8d8232f1899fe800fa5edcfbf2afb70402073dc | MATLAB | 2,396 | 66 | % Fig 1L, scatter plot with error bar of the data
% Edited by Jerry. 10/27/2023
function [datamean,datastd] = ScatterPlotWheel_231027...
(data,Title,Yaxe,figsize,alpha,SaveDir,ErrType,Yrange)
% fig setup
hFig = SetupFigure_220724(figsize);
colors = [10,139,148;130,10,40;134,179,82;242,110,48;...
... |
61699e767abd2516c3c54143d175bf327b2037ae5a8d868fbfad75b448e00620 | MATLAB | 2,396 | 47 | function [oldimg, climit] = h_getOldImg3(handles)
[currentInd, handles, currentStruct, currentStructName] = h_getCurrendInd3(handles);
try
imageModes = get(handles.imageMode,'String');
currentImageMode = imageModes{get(handles.imageMode,'Value')};
switch currentImageMode
case {'Green','G S... |
ec3acff57621466edfbf1ae81aa5f925ceed9f00715760f3269409bc4b2a01a2 | MATLAB | 2,396 | 61 | function [ss,p,pwmd] = dabest3(data,identifiers,p,pwmd,varargin)
%--------------------------------------------------------------------------
% Data inputs have two valid options:
% Option 1:
% data: nx1 vector of values (double, int, etc)
% identifiers: nx1 cell array of labels
% Option 2:
% data: ... |
1757e86bf34f31da74cb89a618825012399b3d39b3253b05c33196d3e4536718 | MATLAB | 2,397 | 95 | % copied from NLA toolbox 2022.03.22 because I wanted to make some
% modifications
function f =View_ROI_Modules(IM,Anat,ROIxyz,Params)
%
% This function generates a plot of ROI Sortings for
% various kden, scanning through the kden chosen.
if isfield(IM,'ROI')
ROI = IM.ROI;
end
%% Set up paramters
Modules=IM.key(:... |
0dc5ddbd414e1d5bf942d55032c7ea4feb95868fe3cc7fac62519b28abe6ad03 | MATLAB | 2,398 | 77 | %% NVR_EventsAro
% This script adds the arousal events to the NeVRo EEG data.
% Requires behavioral arousal rating data in seperate folder (ratings/...).
%
% 2017 (edited 2018) by Felix Klotzsche
% 2024 update by Antonin Fourcade
function NVR_03_eventsARO(cropstyle, mov_cond, path_data)
%% 1.Set Variables
%clc
%cle... |
69e74615b1b071990cb1f4eb19d1eda01a0fbd80cd87f04a98a87bc319dd737b | MATLAB | 2,398 | 67 | % makeBarcodeMultiPlots
function makeBarcodeMultiPlots(registrationDir,transcriptsDir,numRounds,channelsList,barcode,saveDir)
loadParameters;
base0 = load(fullfile(transcriptsDir,sprintf('%s_transcriptsv9.mat',params.FILE_BASENAME)));
base1 = load(fullfile(transcriptsDir,sprintf('%s_transcripts_probfilte... |
7fce110f03a73bbad0206fbe8b888965264975f6dc1ba321f1398c92aee1b9e4 | MATLAB | 2,398 | 63 | function e_global = error_cam_proj(param);
global n_ima x_1 X_1 xproj_1 x_proj_1 x_2 X_2 xproj_2 x_proj_2 x_3 X_3 xproj_3 x_proj_3 x_4 X_4 xproj_4 x_proj_4 x_5 X_5 xproj_5 x_proj_5 x_6 X_6 xproj_6 x_proj_6 x_7 X_7 xproj_7 x_proj_7 x_8 X_8 xproj_8 x_proj_8 x_9 X_9 xproj_9 x_proj_9 x_10 X_10 xproj_10 x_proj_10 x_11 X_11... |
a4b04112f458c37edc96f79b645f0442cf3d54a9d43d7489d444c5a8482c043d | MATLAB | 2,399 | 61 | function e_global = error_cam_proj(param);
global n_ima x_1 X_1 xproj_1 x_proj_1 x_2 X_2 xproj_2 x_proj_2 x_3 X_3 xproj_3 x_proj_3 x_4 X_4 xproj_4 x_proj_4 x_5 X_5 xproj_5 x_proj_5 x_6 X_6 xproj_6 x_proj_6 x_7 X_7 xproj_7 x_proj_7 x_8 X_8 xproj_8 x_proj_8 x_9 X_9 xproj_9 x_proj_9 x_10 X_10 xproj_10 x_proj_10 x_11 X_11... |
91f463fd34698dbb9e56185c5d643d372aeb20921899404bf30da24c9c8e6285 | MATLAB | 2,400 | 63 |
Cfg.WorkingDir
Cfg.SubjectID
Cfg.ParallelWorkersNumber=1;
Cfg.Isqsiprep=1;
Cfg.OutputResolution=2;
Cfg.IsLowMem=1;
Cfg.IsCalTensorMetrics=1;
Cfg.IsTBSS=1;
Cfg.Isqsirecon=1;
Cfg.FreesurferInput %Choose the freesurfer folder. Default: [Cfg.WorkingDir,filesep,'freesurfer']
Cfg.ReconSpec='mrtrix_singleshell_ss3t_A... |
ea129202f0008f0b2c5ea3560a0e3f13490ffe33d3d96eb04cc6d8c148e8d174 | MATLAB | 2,400 | 81 | function foci=AdjustFoci(foci,meshL,meshR,side,ctx)
%
% This function adjusts Foci locations to match the surface of the mesh
% in case it is inflated or rotated or otherwise adjusted.
%
% New algorithm 8/16/17, to be fixed....
% 1. deal with std vs inf or vinf first
% 2. determine home hemisphere for ROIs
% 3.... |
6ddd2a4aab035152de4647b307ffb27bd40a655921a07a835404e2a6c58719ca | MATLAB | 2,401 | 84 | function p = genpathPMTK(d, isMatlab)
% Like built-in genpath, but omits directories unwanted directories:
% e.g. .svn, cvs, private, deprecated, +package
% For best performance, optionally specify whether this is Matlab, (as
% opposed to Octave).
%%
% This file is from pmtk3.googlecode.com
if nargin==0,
p = gen... |
e45effe76a1227568a55ab73bd81e55d5f82b24834bba3747c0de431ac9f41f1 | MATLAB | 2,401 | 84 | function draw_figure2DE(p,decRes)
%
% This code is for drawing figure 2DE
% In the paper, we used Pycortex (Gat et al., 2015) for drawing map.
% Here, similar visualization is mimicked without pycortex
%
%% settings
% prepare surface map
load([p.rootPath,'code/util/hcp360colMap.mat'],'hcp360colMap');
% ROI info.
hcpI... |
e5872a55685e82b56c7a4a26ee067eaaa90bfd844ae430224e86fa461c84f2ff | MATLAB | 2,401 | 82 | function z = ne(x,y)
%NE Not equal (~=) for sptensors.
%
% A ~= B compares the elements of A and B for equality. The arguments can
% be a pair of sptensors, an sptensor and a tensor, or an sptensor and a
% scalar. Regardless, the result is always returned as a sparse tensor.
%
% See also SPTENSOR.
%
%MATLAB Te... |
ff0ee8c316718c6343b0fb68c60e69259a3faaf712ebc9f76c138c894c6a15ae | MATLAB | 2,401 | 77 | function [model, loglikHist] = mixStudentFit(data, nmix, varargin)
%% Fit a mixture of multivariate Student Ts via MLE/MAP (using EM)
%
% data - data(i, :) is the ith case, i.e. data is of size n-by-d
% nmix - the number of mixture components to use
% This file is from pmtk3.googlecode.com
[mixPrior, initP... |
259fd87bf62a52f3c1d634b06a2fca298a8e1c60863795c3883b5bad3c4b0035 | MATLAB | 2,405 | 74 | function out = imoverlay_single(in, mask, color)
%IMOVERLAY Create a mask-based image overlay.
% OUT = IMOVERLAY(IN, MASK, COLOR) takes an input image, IN, and a binary
% image, MASK, and produces an output image whose pixels in the MASK
% locations have the specified COLOR.
%
% IN should be a grayscale or an R... |
601fa1c68f25d22ced2e87a361a48fadcb425f16ee71dfe095ed6a96db0c2c90 | MATLAB | 2,405 | 87 | %% Power vs sample size for excluding a null value from binary trials
function powerCurvesDemo()
Ns=1:5:100;
nullValue = [];
maxWidth = 0.2;
priorMeans = [0.6 0.7 0.8];
priorNs = [5 10 100];
[styles, colors, symbols, str] = plotColors();
for i=1:numel(priorMeans)
figure; hold on
for j=1:numel(priorNs)
priorM... |
1c2d63d5df345b2fe9685ef2d615122912087e6ae7203f720fe4dbe0606ae8da | MATLAB | 2,407 | 73 | function memused = memtoc(counter)
% MEMTOC return the memory that was used
%
% MEMTIC and MEMTOC functions work together to measure memory usage.
% MEMTIC, by itself, saves the current memory footprint that MEMTOC
% uses later to measure the memory that was used between the two.
%
% Use as
% MEMTIC
% MEMTOC... |
e9bbbb908c8038f0cd87cdf2fbdb2c39a9468bf2da6ca3a477e34913afa1d09a | MATLAB | 2,407 | 70 | function [errcode, times, wave, mag, freq, phase] = ...
wlSynth_makeOneBurst_Gabor(samprate, f1, a1, pmid, periods)
% function [errcode, times, wave, mag, freq, phase] = ...
% wlSynth_makeOneBurst_Gabor(samprate, f1, a1, pmid, periods)
%
% This function generates approximations of Gabor wavelets using
% wlSynth_ma... |
035a2531058cadc6c94436575c3b058673ad3ed92134d9752360bb973114ae89 | MATLAB | 2,408 | 80 | function M=movsp2wv(N,Np);
%MOVSP2WV Movie illustrating the passage from the spectrogram to the WVD.
% M=MOVSP2WV(N,Np) generates the movie frames illustrating the passage
% from the spectrogram to the WVD using different smoothing gaussian
% windows in the smoothed pseudo-WVD.
%
% N : number of points for the signal;... |
fcc8743e4e60062145508696b7e4bb7afca1b038d3c2900356a1a5fba7224674 | MATLAB | 2,408 | 68 | % Pyr in SCEs
[data] = extract_variables ('SCE','cellsInSCE',resultsPath, 'pyr');
[n_cells] = extract_variables ('nCells',[],resultsPath, 'pyr');
for recCounter = 1:size(data,2)
data_mdn(recCounter) = length(data{recCounter})/length(n_cells{recCounter});
end
data1 = data_mdn(contains(layer,'deep'));
data2 = data_m... |
246db77b459b7727350b80a27aeca8f803d446ec87b5fc4e9fb4b276508e1430 | MATLAB | 2,409 | 67 | function x=altes(N,fmin,fmax,alpha) ;
%ALTES Altes signal in time domain.
% X=ALTES(N,FMIN,FMAX,ALPHA) generates the Altes signal in
% the time domain.
%
% N : number of points in time
% FMIN : lower frequency bound (value of the hyperbolic
% instantaneous frequency law at the sample N),
% in n... |
5e562bef4fc5a596cba00668ae1b85d92184043961a7ef2e62828eea204c69ca | MATLAB | 2,409 | 69 | function meanShiftImExplore( I, X, sigSpt, sigRng, show )
% Visualization to help choose sigmas for meanShiftIm.
%
% Displays the original image I, and prompts user to select a point on the
% image. For given point, calculates the distance (both spatial and range)
% to every other point in the image. It shows the re... |
93e2c701c7161437c07576334c323ed6a1d16bddf726418d1e6cc7516cf5de51 | MATLAB | 2,409 | 48 | clear all
%%
%Define Parameters
[opt] = ParameterOptions();
%%
%Define Parameters for Oscillating gradients
opt.nOscillations=3; % Number of oscillations per TR
opt.Waveform='Sine'; % Type of Oscillating Gradient. Choose from Rect (conventional rectangular gradient), Rect_Sym (symmetric rectangular gradie... |
a7a0dffd3037515bd864ce7da16e2dc7ee0cc2396d8afdf09622745141b2736d | MATLAB | 2,409 | 62 | % SOFA API demo script
% load HRTF in BT-DEI format and save in SOFA format.
% Copyright (C) 2012-2013 Acoustics Research Institute - Austrian Academy of Sciences;
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% Yo... |
34cfd2c0ce87ec1de03ccbb94f4e4678fb4aa069bd2f3d9ffc71342af4f14351 | MATLAB | 2,410 | 67 | function [ ] = computeCorrelations( ws )
%the function takes as input a ws object and computes the correlations
%between the red and blue references, and the seed.
%create three empty correlation vectors
[ ws.TCA.correlations.seed_red, ...
ws.TCA.correlations.seed_blue, ...
ws.TCA.correlations.red_blue] = ... |
4c050bab5e2f750af1b9288f3ad96c86d6759c9b09303c62847436fdbdc859ca | MATLAB | 2,410 | 88 | function [tf,all_diffs,all_perms] = issymmetric(X,grps)
%ISSYMMETRIC Verify that a tensor X is symmetric in specified modes.
%
% TF = ISSYMMETRIC(X) returns true if X is exactly symmetric for every
% permutation.
%
% [TF,DIFFS,PERMS] = ISSYMMETRIC(X) also returns that maximum difference
% in DIFFS for each perm... |
9429a6141e2d09dcc1e35e4477d6551365b36a2004e78f0fba0fbb05bdec30ed | MATLAB | 2,412 | 72 | % SNORM Spectral norm estimation using randomized power method.
%
% S = SNORM(N,MV,MVA) produces a spectral norm estimate S of a matrix with
% column dimension N and functions MV and MVA to apply the matrix and its
% adjoint, respectively, to a vector using the randomized power method. If A
% is the matrix... |
5163cb545a269670831129b0607d56029a166fe6ddd042e73bfa983933d53fde | MATLAB | 2,413 | 84 | function [k,p] = laplace_pca(data, e, d, n)
% Estimate latent dimensionality by Laplace approximation.
%
% k = LAPLACE_PCA([],e,d,n) returns an estimate of the latent dimensionality
% of a dataset with eigenvalues e, original dimensionality d, and size n.
% LAPLACE_PCA(data) computes (e,d,n) from the matrix data
% (da... |
b951123e38ff2240ca82c4a73afb4b478bba1a685b0f6b9d2d9a7f1a3f2361ad | MATLAB | 2,413 | 98 | %% booststrap shuffled novel aligned activity to generate baseline activity
%Chad Heer
%INPUTS
%novel_data = novel aligned data
%ids = ids of each roi
%n_reps = number of times to repeat bootstrap
%x_units = time from novel exposure for each frame
%OUTPUTS
%out = binary for if individual roi was above baseline or no... |
d41505b5fa25535fef7ba23faacc60aa4bacc32573f900e613e48d551a2b0988 | MATLAB | 2,413 | 82 | function mergeDat = MergeTest(spkDat, refClust, varargin)
spkDat.waves = double(spkDat.waves);
[wL, nChan, ~] = size(spkDat.waves);
pk = spkDat.peakLoc;
wP = spkDat.wavePad;
wL = wL - 2*wP;
clustList = setdiff(unique(spkDat.id), 0);
refIdx = find(clustList == refClust);
nClust = length(clustList);
win = 1000 * [1 - pk... |
0a7b1a2a941694de038305657b420c8bad88264ddbdf62d925d9bfe422c32302 | MATLAB | 2,414 | 73 | function varargout = convert_triangle_geometry_format( varargin )
% Modified by William Warriner 22 Aug 2019
% from CONVERT_meshformat by Adam H. Aitkenhead.
% Inputs:
% - @mesh, a real, finite, 3D double array with dimensions (:,3,3)
% representing face-vertex data with only triangular faces. The first
% dimension re... |
f45b44dd3691448e058323d3bbda1941b3b7ba504626c14602f969ba227e66b7 | MATLAB | 2,414 | 82 | function everythingFileFromOldStyleProjectAndClassifierFiles(...
everythingFileName, ...
projectFileName, ...
classifierFileName, ...
gtExpDirNames, ...
scoreFeatureMatFileNames, ...
scoreFeatureJabFileNames)
% process args
if ~exist('scoreFeatureMatFileNames','var') || ~exist('scoreFeatureJa... |
e548b85ee64f2add5a4439250e8dcbd2a6f724632e48e691fe07ae6101d95afd | MATLAB | 2,415 | 84 | loadParameters;
load(fullfile(params.rajlabDirectory,'transcriptsv9_punctameannormed.mat'));
load(fullfile(params.rajlabDirectory,'groundtruth_codes.mat'));
load(fullfile(params.rajlabDirectory,'transcripts_probfiltered.mat'));
%% Load ground truth codes
%Turn the Nx3 array into a set of strings
gtlabels = {};
for i ... |
0ee4e4e5c8913a90d8eb81204f6671f53dffb7f3d68352ac8f102d18203e1917 | MATLAB | 2,416 | 91 | function [ a,b,c ] = min_encl_ellipsoid( X,Y )
%Finds the minimum enclosing ellipsoid of points along a rat's trajectory
%in the Morris Water Maze
% X=all x-ccordinates of the trajectory
% Y=all y-coordinates of the trajectory
% Coordinates must be in columns, not rows
% a=major radius of the ellipse
% b=mino... |
456eff20dd74605f89bd6e983a8e29ba53c325a6ae2393c18cab4a6711556f94 | MATLAB | 2,416 | 70 | function mesh = ExtractSurfaceRelations(fnprefix, no_regions)
% Reads disjoint surface meshes from each file (total of 'no_region' files)
% and establishes their relational hierarchy.
% The output is a structure compatible with nirfast format. The relation
% ship information is stored in .region field, which provides t... |
8c1d6789653722520b7fd6b89535d20a7b9d273ff6a8992d5bbe30d7166e1e37 | MATLAB | 2,416 | 64 | function I=imgaussian(I,sigma,siz)
% IMGAUSSIAN filters an 1D, 2D color/greyscale or 3D image with an
% Gaussian filter. This function uses for filtering IMFILTER or if
% compiled the fast mex code imgaussian.c . Instead of using a
% multidimensional gaussian kernel, it uses the fact that a Gaussian
% filter ... |
d2ecacaab2e0840e57cc1652e7e0f4921e0676a055664c63c611cc3506cb7638 | MATLAB | 2,416 | 77 | %% Bayesian model selection demo for polynomial regression
% This illustartes that if we have more data, Bayes picks a more complex model.
% We use empirical Bayes (EB) and variational Bayes (VB)
% to tune the hyper-parameter and approximate the marginal likelihood
% This file is from pmtk3.googlecode.com
% Based on... |
111cfc3fada5d32a720ab895186039ec17f5e29a34cd64fff0b6d0b3143bb74d | MATLAB | 2,417 | 59 |
function num_events = calculate_number_replay_events
cd('X:\BendorLab\Drobo\Neural and Behavioural Data\Rate remapping\Data')
load('folders_to_process_remapping.mat')
for f = 1 : length(folders)
cd(folders{f})
load('sorted_replay_wcorr.mat')
num_events.T1(f) = length(sorted_replay(1).index.trac... |
8acca59dc488334d958021fe0708a3adabcc376a22ebc089763076bbbb8e6968 | MATLAB | 2,417 | 83 | function [dat, state] = ft_preproc_standardize(dat, begsample, endsample, state)
% FT_PREPROC_STANDARDIZE performs a z-transformation or standardization
% of the data. The standardized data will have a zero-mean and a unit
% standard deviation.
%
% Use as
% [dat] = ft_preproc_standardize(dat, begsample, endsample)
%... |
e9106def8f4af5df632681c7363b28a2be3e667e6d4207d9cc410286e88e899a | MATLAB | 2,417 | 59 | % SOFA API - demo script
% Copyright (C) 2012-2014 Acoustics Research Institute - Austrian Academy of Sciences
% Licensed under the EUPL, Version 1.1 or – as soon they will be approved by the European Commission - subsequent versions of the EUPL (the "License")
% You may not use this work except in compliance with the ... |
1fac44f5f247f1940d4b035dc2e35635d069ac23ebbf9ee691566822214618e4 | MATLAB | 2,418 | 80 | function [hdr] = ft_fetch_header(data)
% FT_FETCH_HEADER mimics the behaviour of FT_READ_HEADER, but for a FieldTrip
% raw data structure instead of a file on disk.
%
% Use as
% hdr = ft_fetch_header(data)
%
% See also FT_READ_HEADER, FT_FETCH_DATA, FT_FETCH_EVENT
% Copyright (C) 2008, Esther Meeuwissen
%
% This fi... |
165e907164b3ef36fc85e660f626c6bd5dbc4b0614f0eda41704dc78a91fa0eb | MATLAB | 2,419 | 91 | function [yhat, p, pCI] = logregPredictBayes(model, X, method)
% Approximate p(i) = p(y=1|X(i,i), model) and yhat(i) = ind{p(i) > 0.5}
% Method should be one of
% - 'plugin': uses p(y=1 | X(i,:), E[w])
% - 'moderated': uses the Mackay trick to approximate int_w Gauss(w)*sigmoid(y|w)
% - 'vb': uses variational bayes to ... |
5d0edf369cd882217b457dfc20553c9feb60c0cb952299ea53025f71855e1f82 | MATLAB | 2,419 | 89 | function table = struct2table(s)
% STRUCT2TABLE converts a struct-array to a cell-array of strings that represents a table
%
% Example
% s(1).a = 1
% s(1).b = 2
% s(2).a = 3
% s(2).b = 4
% disp(struct2table(s))
%
% See also PRINTSTRUCT, APPENDSTRUCT
% Copyright (C) 2017, Robert Oostenveld
%
% This file is p... |
0abb5da5f3fa0081e64886933753328e37b3b386902f8f0f567463bcce267aac | MATLAB | 2,420 | 82 | function imputationMixedAdultDemo()
%% Comparison of methods for imputing missing values in UCI adult census data
% PMTKslow
% PMTKauthor Kevin Murphy
% PMTKneedsStatsToolbox boxplot
%%
% This file is from pmtk3.googlecode.com
requireStatsToolbox
setSeed(0);
adult = loadData('adultCensus');
X = adult.X;
types = adu... |
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