sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
c8f0ac9eab5760640846da1d32fc4da10ff7552cee6f49dd5d4b8cfec96942d4 | MATLAB | 1,167 | 47 | % mglIsFile.m
%
% usage: mglIsFile(filename)
% by: justin gardner
% date: 08/20/03
% e.g.: mglIsFile('filename')
% purpose: function to check whether file exists
% Note meta characters like "?", "*", or "~user" are not recognized but "~/" can be used for filename.
%
function [is... |
489a9ce0859fc9266edfbe5478eed2838698699e1c59e82649b5697c3958e508 | MATLAB | 1,168 | 38 | function confMat = confMatGet(desiredOutput, computedOutput)
%confMatGet: Get confusion matrix from recognition results
%
% Usage:
% confMat = confMatGet(desiredOutput, computedOutput)
%
% Description:
% confMatGet(desiredOutput, computedOutput) returns the confusion matrix of a given classifier based on
% its desir... |
da53aad60407c26b48ecacaa11823502edb5a3efb6fd01d79d757bdfc0729867 | MATLAB | 1,168 | 44 | function [slope,intercept] = find_slopeintercept_phasevstime_fast(dataPhase,TEs)
% [slope,intercept] = find_slopeintercept_phasevstime_fast(dataPhase,TEs)
%% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
% updated 2015-04, X.L.
% updated 2017-02, X.L.
% updated 2021, X.L.
dim = ndims(d... |
a1244ef4bceac5967569b2a4c6dd468bb4bbc2de279e67906f75638ee2bd6c17 | MATLAB | 1,169 | 44 | % Create unit test data for comparison between matlab and Python
addpath('./matlab')
fprintf('MATLAB version\n')
[stauts, data_path] = system('python -c "import mne; print(mne.datasets.testing.data_path(), end=str())"')
fname = strcat(data_path, '/MEG', '/sample', '/sample_audvis_trunc_raw.fif');
raw = fiff_setup... |
f253840bd3c1ffa4a4d675a84b3619499277abc063b9b46a3412f29ff806e700 | MATLAB | 1,172 | 43 | function gabor = gaborArrayParametrized(sigma, wavelength, orient_chosen)
% Bounding box
halfLength = 17;
xmax = halfLength;
xmin = -halfLength;
ymax = halfLength;
ymin = -halfLength;
[x,y] = meshgrid(xmin:xmax,ymin:ymax);
%init
gabor(numel(orient_chosen)).filter = [];
%loop on angles
%for oriIndex = 1 : divTheta... |
62b4eaa7dbb0e69feba3a76ca8381d98597193e69e73392499761fa2d76942ca | MATLAB | 1,173 | 48 | %% Circular Graph Examples
% Copyright 2016 The MathWorks, Inc.
%% 1. Adjacency matrix of 1s and 0s
% Create an example adjacency matrix made up of ones and zeros.
rng(0);
x = rand(50);
thresh = 0.93;
x(x > thresh) = 1;
x(x <= thresh) = 0;
%%
% Call CIRCULARGRAPH with only the adjacency matrix as an argu... |
63f13deaf39e594a3d2c2848366ede6fe607debf6990b175036ebfc13af1cd0e | MATLAB | 1,174 | 40 | function node = gennode(num,root,conn,pos,type,misc)
% node = gennode(num,root,conn,pos,type,misc)
%
% Function to create a node struct (branch point of blood vessels). Nodes
% are arranged as a structure array with fields:
%
% node.num - identifying number
% node.root - root node, if it exists (0 is n... |
2951a5be7c320ef9b76eb83d9f5fbe1bfcb0c03385692b52e2d18fdac12aff7e | MATLAB | 1,175 | 47 | function c = InvProbV2Cons(x,Imat_t,tn,ni,nh,no,msteam_st_t,mfg_st_t,Tsteam_in_st_t,Tfg_in_st_t,cpfg_st_t,cpsteam_st_t,delta,data)
wh = reshape(x(1:ni*nh),[ni,nh]);
wo = reshape(x(ni*nh+1:ni*nh+nh*no),[nh,no]);
bh = (x(ni*nh+nh*no+1:ni*nh+nh*no+nh))';
bo = (x(ni*nh+nh*no+nh+1:ni*nh+nh*no+nh+no))';
y_r = reshape(... |
a72493daabe2a05529cd5171a0d6b73e506dbbcaa61eedd352f7882508f0aaac | MATLAB | 1,175 | 39 | function [L,dL,ddL] = neglogpost_GLM(wts,hprs,mstruct)
% [L,dL,ddL] = neglogpost_GLM(wts,hprs,mstruct)
%
% Compute negative log-posterior of data under GLM regression model,
% plus gradient and Hessian
%
% INPUTS:
% wts [m x 1] - regression weights
% hprs [p x 1] - hyper-parameters for prior
% mstruct - model ... |
19b32f4e0ad6dcf54f7f0fd550647d1b7bc10193669be3ce534e18cb987bf9db | MATLAB | 1,176 | 1 | function Dif = CalcDif(Data, StepSize) % StepSize MUST be > 0
% This function calculates the (approx.) derivative of the vector *Data*.
%
% Alignment issues:
% The function returns a vector (Dif) that is aligned with the input vector (Data).
% This means that the i-th index of Dif is the value of the derivative
%... |
1b20b3eb60e8ff83feb9531af9aaf89023b49f2804f3b3e975cf36cb88bc69b0 | MATLAB | 1,176 | 17 | % Helper functions for FMAToolbox.
%
% Parameter testing.
%
% isstring - Test if parameter is an (admissible) character string.
% isdscalar - Test if parameter is a scalar (double) satisfying an optional list of tests.
% isdvector - Test if parameter is a vector of doubles sat... |
69bca3b3c29ad67f580efacc67d09a621cfcf50f3951d0b433a6937481ac3324 | MATLAB | 1,176 | 41 | % ITERATIVE_OUTLIER_REMOVAL - Removal of outliers in a vector based on an iterative sigma threshold approach. Only finds
% the number of removals and the threshold.
%
% Usage:
% >> [n_remove, threshold] = iterative_outlier_removal(data_vector,sd_level,sd_level_increase);
%
% Required Inputs:
% data_vector ... |
a801807599b1612c92cd97f1b92b777fa011f8a287b948a6a1328328356f2251 | MATLAB | 1,176 | 34 | function C=clustering_coef_wd(W)
%CLUSTERING_COEF_WD Clustering coefficient
%
% C = clustering_coef_wd(W);
%
% The weighted clustering coefficient is the average "intensity" of
% triangles around a node.
%
% Input: W, weighted directed connection matrix
%
% Output: C, clustering coeffi... |
c3baa39cdc1fb045fe6c3f3dfb2592a172003bd565660e48a03c87117a2e91c8 | MATLAB | 1,176 | 12 | ops.target = ''; % target .smr file to use
ops.method = 'mountainSort'; % ['plexon' or 'mountainSort'] What method did you use to sort spikes?
ops.chanNum = 8 ; % What chan # were the waveforms extracted from?
ops.chanName = {'epthys', 'e... |
f7ac9f4b3f67b48ff64b96b27eeaa81aa545c2747ade366b395fa3aa7148f4e7 | MATLAB | 1,176 | 51 | function typeName = TDMS_getDataTypeName(dataType)
%TDMS_getDataTypeName Returns a string indicating dataType
%
% Given a Labview numeric datatype value, this returns a string
%
% typeName = TDMS_getDataTypeName(dataType)
switch dataType
case 0
typeName = 'void';
case 1
typeName... |
219d72ae9291e63bad3c105503e4aea71bab4859a655ea01e37070f3f316e955 | MATLAB | 1,177 | 41 | function[output]=shuffled_event_classifier(starts,bin,param,ds_events,nshuf)
%% SET UP
ends=zeros(1,length(starts))+bin;
timepoints=[starts;ends];
%%
sp_shuffled=nan(length(ds_events),size(timepoints,2),nshuf);
spm_shuffled=nan(length(ds_events),size(timepoints,2),nshuf);
for d = 1:length(ds_events)
for t = 1... |
abc7a2558768ee4842201902322453b997c61c6074026938eae455c1cd085367 | MATLAB | 1,177 | 27 | clear
file=dir('ACC*reverse*.mat');
for jj=1:5
load(file(jj).name)
n=length(outcome);n1=fix(n*0.15);n2=fix(n*0.50);
go{1}=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2);];
go{2}=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2)]+n1;
go{3}=[find(outcome(n2+1:end,1)==1);find(outcome(... |
4530f5fdccad55b833239dace89d1b523e578ebe9d7050f42af5218d8c763078 | MATLAB | 1,178 | 49 | %
% Compute a network statistic using Matlab.
%
% PARAMETERS
% $network
% $statistic
%
% INPUT
% dat/data.$NETWORK.mat
% dat/info.$NETWORK
% dat/meansi.$NETWORK.mat
%
% OUTPUT
% dat/statistic.$STATISTIC.$NETWORK
% Text file with one number per line, the first being the statistic
% itself and the other lines bei... |
99a765c3658a0a1b0cd8ca2148cff41db61efe442aabf6c88c604d4615daa704 | MATLAB | 1,178 | 37 | % VL_SVMPEGASOS [deprecated]
% VL_SVMPEGASOS is deprecated. Please use VL_SVMTRAIN() instead.
function [w b info] = vl_svmpegasos(DATA,LAMBDA, varargin)
% Verbose not supported
if (sum(strcmpi('Verbose',varargin)))
varargin(find(strcmpi('Verbose',varargin),1))=[];
fprintf('Option VERBOSE is no longer suppor... |
9fec02a9b1ec5863962a305c87a77f58224dd75561ae6d23e2ae79801dc45e57 | MATLAB | 1,178 | 45 | % mglTestMetalDots: an automated and/or interactive test for rendering.
%
% usage: mglTestMetalDots(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering various sizes and shapes of vectorized do... |
bccb79fe16f5c85806cb3be146d0eeed74f9ad7c6c9773b5733a35c68c467587 | MATLAB | 1,178 | 35 | function [strings, perm] = vl_alphanum(strings)
% VL_ALPHANUM Sort strings using the Alphanum algorithm
% STRINGS = VL_ALPHANUM(STRINGS) sorts the cell array of strings
% STRINGS by using the Alphanum algorithm [1]. [STRINGS,PERM] =
% VL_ALPHANUM(...) returns the corresponding permutation PERM as
% well.
%
% ... |
34be9a4905ed5c660c457f7311b6f4e56f1b822f26d895d6c2d9a4c2357e1479 | MATLAB | 1,179 | 38 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Given an in situ signal matrix, finds the closest matching ex situ UMI
% using a probablistic approach
function[match_ind match_val hamming_dist close_umis] = match_spot(curr_umi,umis,intensity_mat,hamming_thresh)
% fill out Hamming distance matrix
... |
8549bcd474288eb5c4d2bf1ea36a7d81eb7ef5e195cc9bcd5478a27d3b3857b4 | MATLAB | 1,179 | 33 | function projected_test = test_classification(TestBatch,G_prime)
% projects the test set and to the discriminant space using projection
% matrix, and returns the projected test data.
%
% PROJECTED_TEST = TEST_CLASSIFICATION(TESTBATCH,G_PRIME) gets the test set
% TESTBATCH and projection matrices G_PRIME and return... |
aa43ba06ca9652ccafcb5fec00a24fd3116d50e77ff2711772e4a92c2ceb9861 | MATLAB | 1,179 | 41 | % mglTestMetalRepeatingFlicker: an automated and/or interactive test for rendering.
%
% usage: mglTestMetalRepeatingFlicker(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test random clear colors repeate... |
cbc80837387004c45ff3c793792318697116d00a5556d10b20225251545637ea | MATLAB | 1,179 | 20 | %% construct the JS-based individual morphological WM networks based on the preprocessed structural images
%% required toolbox: SPM12
path = pwd;
% extract the voxel-vise signal within the roi
gretna_Vol_ROI_signal('Z:\Data\HCP1200_T1\path_anat_mri.txt', 'mwp2',...
[path '\Template.txt'], 'JHU-WhiteMatter-labels_... |
cc1e3ac49245dd1994e379396ee67888669ae0991dfd48550d00fc1a19a35cbe | MATLAB | 1,180 | 46 | function [A xy] = cycle_graph(n,varargin)
% CYCLE_GRAPH Generate the cycle graph of order n
%
% The cycle graph is a simple cycle with n vertices.
%
% [A xy] = cycle_graph(n) generates a cycle graph with n vertices and
% returns the adjacency matrix in A. The matrix xy stores two-dimensional
% coordinates for each ve... |
d180006d21bdede10d402512ae1b4b1cb79b4ad1dadc7867361e8832ed62f6b3 | MATLAB | 1,182 | 65 | <<<<<<< HEAD
function [EER, EERlow, EERhigh] = computeEER_classic(FAR,FRR)
% calcolo le posizioni di confine
t1 = min(find(FRR<=FAR));
t2 = max(find(FRR>=FAR));
% Controllo la combinazioni che da errore complessivo inferiore
if (FRR(t1) + FAR(t1)) <= (FRR(t2) + FAR(t2))
EERlow = FRR(t1);
EERhigh = FAR(t1);
el... |
f354d4651a8766231bcb34f74ef11a3a4a70daf31b39b960ba9e211f54165d5c | MATLAB | 1,182 | 44 | function handle = ternary_outlines(handle, varargin)
%ternary_outlines creates a standard triangle-plot to add to an axes
%
% Accepts VARARGIN as forward to customized plot settings. This function
% uses the convention of 0->1 plotting range
%% Check Inputs
% Check if handle is given
if (na... |
1286f66b10de6d1ff6af3f4b61ad0269c31d77306a88421fec179ece4ea37705 | MATLAB | 1,183 | 72 |
function x=my_resize(x, map_size)
% x=do_resize_cpu_only(x, map_size);
x=do_resize_with_gpu(x, map_size);
end
function x=do_resize_cpu_only(x, map_size)
map_size=double(map_size);
assert(length(map_size)==2);
x_size=[size(x,1) size(x,2)];
if all(x_size==map_size)
return;
end
if isa(x, 'gpuArray')
x=gpuAr... |
1ee0274041b037c662d1677ea8f6d38ca536628fdd57c5e32f931ff9de997f2a | MATLAB | 1,183 | 43 | function [scanner_ss,count_scanner,count_processed] = sweetspot(scanner,processed,th_index)
%load(name)
%Define range,number of FD thresholds
FD = [0.01:0.01:0.5];
nth = length(FD);
th = FD(th_index); %threshold for FD_processed to determine remaining time
n_vol = length(scanner);%Determine paramters of input varible... |
87f99cf0ea99cf30fda107f541724f0da328f5754ded8ea4644a75e80e5481c5 | MATLAB | 1,183 | 23 | function lim = serverLimits()
% Limits and rules the client checks before sending, mirroring the server
%
% function lim = webupload.serverLimits()
%
% Purpose
% maxZipBytes is max_zip_size from the shared contract (tests/web/upload_contract.json, copied
% here as upload_core/tests/upload_co... |
a621adbad6642dce9af2ad2c2bd776b8892ce7e8367c8880d8c796dc59d85b1e | MATLAB | 1,183 | 47 | function squareIdx = getIndividualSquareROIIndices(pths, prfParams, roiType, hemi)
squareLoc = [];
useStimFlag = true;
offset = 0.41; % deg
tmp = strsplit(roiType,'_');
nrSquares = str2double(tmp{1}(regexp(tmp{1},'[0-9]')));
sqArea = tmp{2}(regexp(tmp{2},'[0-9]'));
if strcmp(sqArea,'2')
relativeSize = 'sma... |
0379423f6d39e50e5e0a7a1a801601f0dfe684e6a7ff663081279f70be3a5b68 | MATLAB | 1,184 | 36 | function uid = root(tree)
% XMLTREE/ROOT Root Method
% FORMAT uid = root(tree)
%
% tree - XMLTree object
% uid - UID of the root element of tree
%__________________________________________________________________________
%
% Return the uid of the root element of the tree.
%________________________________________... |
40c08adb99b3e87033614198a91f43ac9b24b1b2432db0bc6a7fd5fe07d69700 | MATLAB | 1,185 | 47 | function [CIJ] = makeringlatticeCIJ(N,K)
%MAKERINGLATTICECIJ Synthetic lattice network
%
% CIJ = makeringlatticeCIJ(N,K);
%
% This function generates a directed lattice network with toroidal
% boundary counditions (i.e. with ring-like "wrapping around").
%
% Inputs: N, number of vertices
% ... |
5419c24c8b42a2fa727151c5e4dad5ae1d47b859a2101e92810976bb2452d46f | MATLAB | 1,185 | 29 | function [folders, folder_count] = getfolders()
%get the experimental folders one by one as the user selects them
folders = {};
folder_count = 0;
start_path = '';
while true
folder_name = uigetdir(start_path, 'Select Experiment Folder')
if folder_name == 0
break
else
... |
bfabff67b53bda414835cb755e4ae6aa1314f61726e80d8983dfdb896cd69df0 | MATLAB | 1,185 | 43 | % getInterpPad.m
%
% Function that returns padding at the beginning or end of a vector.
% Padding is generated by cubic spline interpolation
%
% INPUTS:
% vec - vector to pad
% padLen - length of padding, in samples
% padSide - which side to pad, 'start' or 'end'
%
% OUTPUTS:
% pad - vector for calculated paddi... |
a5818699356b00324bb7593a3c23ec18c387297b0517af18d71f4b6a4e86b9c6 | MATLAB | 1,186 | 36 | function tree = delete(tree,uid)
% XMLTREE/DELETE Delete (delete a subtree given its UID)
%
% tree - XMLTree object
% uid - array of UID's of subtrees to be deleted
%__________________________________________________________________________
%
% Delete a subtree given its UID
% The tree parameter must be in ... |
d329ca59f89c4d5e1b32bb1022d13058b91d4a968e1c63d5de87ec2065f05fa7 | MATLAB | 1,186 | 34 | function T=transitivity_wd(W)
%TRANSITIVITY_WD Transitivity
%
% T = transitivity_wd(W);
%
% Transitivity is the ratio of 'triangles to triplets' in the network.
% (A classical version of the clustering coefficient).
%
% Input: W weighted directed connection matrix
%
% Output: T transit... |
d33b85358d96f8a445d43546c5de0f974b600d56e628a8df85044afcb8cc6437 | MATLAB | 1,186 | 42 | clear
addpath(genpath('.'))
addpath(genpath(fullfile('..','ANE')))
global result;
global resultString;
global resultSpikes;
%%
dir_parent=fullfile('..','data','data_TENASPIS','added_refined_masks');
list_Exp_ID={'Mouse_1K', 'Mouse_2K', 'Mouse_3K', 'Mouse_4K', ...
'Mouse_1M', 'Mouse_2M', 'Mouse_3M', 'Mo... |
3fb361e96305feca80984358c0e28503ab885e2bd1c4c5466669fe666f3d19cb | MATLAB | 1,187 | 44 | function [ftest_all, numFeatures] = ...
featExtrGaborAdapt(imagesCellTest, PalmNet, bestWavelets, param, numImagesTest, stepPrint, numCoresFeatExtr)
%one iteration to get size and init
ftest = Gabor_FeaExt(imagesCellTest(1), PalmNet, bestWavelets, param);
numFeatures = size(ftest,1);
%init feature matrix
ftest_all... |
340d1f6ac6d0e30b8c214b5f226bd071d27bb7931e376f0659beb0ca0e115194 | MATLAB | 1,188 | 34 | function [params, s_new] = denoise_fica_tanh(params, s, state)
% FastICA tanh nonlinearity as DSS denoising function
% [params, s_new] = denoise_fica_tanh(params, s, state)
% params Function specific modifiable parameters
% a Scaling constant (default: 1)
% state DSS algorithm state
% s ... |
292a9861b9e56be91387ae44affe450042bb885f0aab819eb2f2175f0c892ebe | MATLAB | 1,189 | 27 | function [I_ramp,tRamp] = makeRampInput(timeStep,tRise,tFall,tsRise,tsFall,maxRamp)
% MAKERAMPINPUT make a scalar exponential rising ramp and fall
% [I,T] = MAKERAMPINPUT(timeSTEP,tRISE,tFALL,tsRISE,tsFALL,MAX)
% computes an exponentially rising and falling ramp I, on time-base T,
% defined by:
% timeSTEP: duration... |
b4863b41973bdee60f9c32d8a381097cef454baeaa86e87c838358ea46552dc3 | MATLAB | 1,189 | 43 | function f = vl_lbpfliplr(f)
% VL_LBPFLIPLR Flip LBP features left-right
% F = VL_LBPFLIPLR(F) flips the LBP features F from left to
% right.
%
% Example::
% The following instructions return results almost identical
% assuming that the width of I is exactly divisible by the cell
% size:
% F = ... |
f41be806b084d8e0feede65b901af93bd929a05d5179e6757f7d40e1b6334acc | MATLAB | 1,189 | 31 | function [new_t_mus, new_y] = ml_alg_ds_bandpassed_signal(t_mus, y, bandpass_freqs)
% Resample to have equal sampling intervals
dt_mus = median(diff(t_mus));
interp_slice_t_mus = t_mus(1):dt_mus:t_mus(end);
interp_slice_csc = interp1(t_mus, y, interp_slice_t_mus);
% New sampling rate in Hz
... |
6d8edcab337b227b6eec5b0964879226232815f30585bedf859efd6c401ff57a | MATLAB | 1,190 | 27 | %% From wrapper
parc_folder=['/group_shares/FAIR_LAB2/Projects/ADHD_HCP_biomarkers/experiments/model_based/' parcellation];
addpath(genpath('/group_shares/FAIR_LAB/Staff/Oscar/matlab_code/'));
%% Connectotyping settings
options.params.cutoff=1;
options.params.lags=0;
options.params.autocorrelation=0;
options.params.c... |
85d479d69f3a4e4670054f5cf5741af030fa49f01fa5945914e15f302726e149 | MATLAB | 1,191 | 39 | function P=participation_coef(W,Ci)
%PARTICIPATION_COEF Participation coefficient
%
% P = participation_coef(W,Ci);
%
% Participation coefficient is a measure of diversity of intermodular
% connections of individual nodes.
%
% Inputs: W, binary/weighted, directed/undirected connection matrix
% ... |
01e272d2be57eee2b54e755ee01abe2a658de9d6e465ffee0a6fb719cf375eaa | MATLAB | 1,192 | 34 | function [dat] = ft_preproc_rectify(dat)
% FT_PREPROC_RECTIFY rectifies the data, i.e. converts all samples with a
% negative value into the similar magnitude positive value
%
% Use as
% [dat] = ft_preproc_rectify(dat)
% where
% dat data matrix (Nchans X Ntime)
%
% See also PREPROC
% Copyright (C) 2008, Ro... |
3c91709b7a44998744fce892eb8cb4a14df827eee3894137cd7aeb8aa17005d6 | MATLAB | 1,192 | 45 | function [amplitude, phase, freq, fitTrace, r2] = fit_sineWave(data, samplerate, freq)
% set up thing to fit
segLength = length(data);
segTime = (1:segLength)/samplerate;
% if no frequency given, estimate
if ~exist('freq', 'var')
Y = fft(data(~isnan(data)));
P2 = abs(Y/segLength);
powerTrace = P2(1... |
3f72f6a7d87f295c0d8ac3651bcd2c40ac49c1570a22a1499be0f85e5d86f24a | MATLAB | 1,192 | 28 | % efficient color labeling algrithm, the imput image should be in the range
% of [0,1]
function [im_lbl, nColorHist] = colorLabeling(im, tBins)
nColorHist = tBins * tBins * tBins; % total number of bins in a color channel
% % split three channels from a color image
% c1 = im(:,:,1);
% c2 = im(:,:,2);
% c3 = im(... |
49d135eb55b0db4479c54d0ef59257612215e93a1115edb7df5d3044215c0818 | MATLAB | 1,193 | 27 | clear
file=dir('ACC*uncertain*.mat');
for jj=1:6
load(file(jj).name)
n=length(outcome);n1=fix(n*0.33);n2=fix(n*0.67);
go{1}=[find(outcome(1:n1,1)==1);find(outcome(1:n1,1)==2);find(outcome(1:n1,1)==5)];
go{2}=[find(outcome(n1+1:n2,1)==1);find(outcome(n1+1:n2,1)==2);find(outcome(n1+1:n2,1)==5)]+n1;
... |
53ca279c9dabe38d8114f9807bd9786adf1ea8ca411ffd28a0176e3b4aa0859b | MATLAB | 1,193 | 33 | function val = littleendian;
% LITTLEENDIAN returns 1 (true) on a little endian machine, e.g. with an
% Intel or AMD, or 0 (false) otherwise
%
% Example
% if (littleendian)
% % do something, e.g. swap some bytes
% end
%
% See also BIGENDIAN, SWAPBYTES, TYPECAST
% Copyrigth (C) 2007, Robert Oostenveld
%
% Thi... |
49f507f545639f88ebc89d9ac427149718ad6f19fe1bcdc2eeea1364b3762966 | MATLAB | 1,194 | 43 | % getLinProj.m
%
% Helper function to get linear projection of multiple variables onto
% defined axis. Like PCA, but specify coefficients
% Mean subtracts each variable but does not otherwise normalize values
% across different variables
%
% INPUTS:
% varVals - matrix of size numSamps x numVars for sample values ... |
0188e4998552a24359927b378a1a8e2e14199df8a12e110a39ecf79306da9ff2 | MATLAB | 1,196 | 40 | function [] = layoutConverter (phase)
w = waitbar(1,'Converting format - Please wait...'); % waitbar
for i = 3:length(phase)
waitbar((i-2)/(length(phase)-2))
cd(phase(i).name);
d = dir;
if length(d)-2 == 120
m = MEA120_lookuptable;
elseif length(d)-2 == 152... |
bbb66a8172fe1a7f89ae05d0c6efe7e85bf0e5423889445f477bc0bd786074cd | MATLAB | 1,196 | 37 | function trk = fix_GetPartOfTrack(trk,f0,f1,trajfns)
% returns a subset of the input trx structure, from frame f0 to f1
% does not copy all fields -- convert_units must be re-run on the output track
% splintered from fixerrorsgui 6/21/12 JAB
if nargin < 4,
trajfns = {'x','y','a','b','theta'};
end
i0 = trk.off+(f0);... |
83cd54f5c23e3b13adcdefe72163ca4e71514b2df0aaf85eb777631863bfad7c | MATLAB | 1,197 | 39 | function imdb = setupFMD(datasetDir, varargin)
% SETUPSCENE67 Setup Flickr Material Dataset
% This is similar to SETUPCALTECH101(), with modifications to setup
% the Flickr Material Dataset accroding to the standard
% evaluation protocols.
%
% See: SETUPCALTECH101().
% Author: Andrea Vedaldi
% Copyrigh... |
8445a9d09aec43189058337f6bca0e209699a944725d6a4cdc75a07cb7987ee9 | MATLAB | 1,197 | 33 | function val = bigendian;
% BIGENDIAN returns 1 (true) on a big endian machine, e.g. with a SUN Sparc
% or Apple G4 processor, or 0 (false) otherwise
%
% Example
% if (bigendian)
% % do something, e.g. swap some bytes
% end
%
% See also LITTLEENDIAN, SWAPBYTES, TYPECAST
% Copyrigth (C) 2007, Robert Oostenvel... |
97c0012a3fd520bd95ed32877f40c8be07405f68023bbc9cd5b6b4c0a5343463 | MATLAB | 1,197 | 69 | function [P1_xx,P1_xy,P1_xo,P2_xx,P2_xy,P2_xo,PE1_xx,PE1_xy,PE1_xo,PE2_xx,PE2_xy,PE2_xo]= predictive_coding_local_global(n, SP, s0, s1, s2);
% Input:
% n: number of tones in a squence
% SP: [SPxx, SPxy, SPxo] e.q. [4/6 1/6 1/6]
% Output:
% P1_xx= P1 in xx sequence
%% Check
if sum(SP) ~=1
disp('The s... |
3eb8565300713fd416da9b7b363f36aa7950c8634f7b43f1b4f9469780b7f954 | MATLAB | 1,198 | 35 | function vid = setupvideo_new2019(pos)
% make sure that there are no other connection to other video input
imaqreset;
% Videoinput makes sure that the connection between PC and camera exists.
vid(1) = videoinput('winvideo',1,'MJPG_1280x1024');
vid(2) = videoinput('winvideo',2,'MJPG_1280x1024');
% Set up t... |
82a0d92ad506b1ba65d476712fbde68d4c7c4a37e6637400f73ae5d296dd815e | MATLAB | 1,198 | 22 | % This make.m is for MATLAB and OCTAVE under Windows, Mac, and Unix
function make()
try
% This part is for OCTAVE
if(exist('OCTAVE_VERSION', 'builtin'))
mex libsvmread.c
mex libsvmwrite.c
mex -I.. train.c linear_model_matlab.c ../linear.cpp ../tron.cpp ../blas/daxpy.c ../blas/ddot.c ../blas/dnrm2.c ../blas/dsca... |
ffe352a271f38bf00495f7b73a2c5be424d5e622c6dfcce86a7dfe63277389c3 | MATLAB | 1,198 | 28 | function chi_res = MEDI_sweep(deltaB, Params, DPWeight, maskErode, lambda, merit, edgePer, outputFile)
% Do lambda sweep search for MEDI
% Calculate curverture and save intemedia results
% Using maximum curverture to determine the best lambda
lambda = sort(lambda); % change to assending order
Nlambda = l... |
9764f3d428512461f17bd914df452f037c5d77557940c85d9d9ebba91e2502db | MATLAB | 1,199 | 43 | function hs = HaltonSequence(n,b)
% Function to generates the first n numbers in Halton's low
% discrepancy sequence with base b
%
% hs = HaltonSequence(n,b)
%
% Inputs: n - the length of the vector to generate
% b - the base of the sequence
%
% Notes: This code focuses on details of the implementation of the
%... |
c2e1d513da498de894bceaa0df6f2640db0e1f0ceea068dc7207d601e4186673 | MATLAB | 1,200 | 64 | function vl_demo
% VL_DEMO Run VLFeat demos
% VL_DEMO runs all VLFeat demos in a row, exporting figures for
% the documentation. Edit this file to see a list of the vailable
% demos, or look into the toolbox/demo directory.
% Author: Andrea Vedaldi
% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% A... |
e5d9087da7c85a8cab0ed45e88bdd08324bd01fad7f867e16fd41333f4fe9bf6 | MATLAB | 1,200 | 51 | function dt = mapType(dtype)
%MAPTYPE
% converts dtype name to type name. If struct, then returns a struct of mapped types
% all this does is narrow the possible range of names per type.
if isempty(dtype) || (ischar(dtype) && any(strcmpi({'None', 'any'}, dtype)))
dt = 'any';
return;
end
if iscell(dtype)
... |
fc276935b177d18541497e0d75e2127cd1635f62c43e8f734d1e984f080c1e00 | MATLAB | 1,200 | 47 | % mglTestPoints3: an automated and/or interactive test for rendering.
%
% usage: mglTestPoints3(isInteractive)
% by: Benjamin Heasly
% date: 03/10/2022
% copyright: (c) 2006 Justin Gardner, Jonas Larsson (GPL see mgl/COPYING)
% purpose: Test rendering some points.
% usage:
% % Yo... |
980fde833e8386bfc9f6d6fdcb9f419027b8722a3178364c62fd7b5ca28b3963 | MATLAB | 1,201 | 38 | % Author: Zachary Chiang, Buenrostro Lab, Harvard University
% Apply an offset in x, y, and z calculated using simple_offset_xyz.m
function[stackCr] = simple_offset_xyz_applied(stackC,offsets)
% pre-set output
stackCr = uint16(zeros(size(stackC)));
% get offsets
xoffset = offsets(1);
yof... |
cb7300c842ff2640b9240e3ff54f6993f4a72f2675bce41e0a843b0a8fbf2042 | MATLAB | 1,201 | 28 | function [generated_image, linear_bresenham_image] = generate_binary_image_from_centerline(K, image_size, dilation_size)
% given the centerline and the image size, this function creates a
% image that looks like the original worm
linear_bresenham_image = false(image_size(1)*image_size(2),1);
f... |
f27921493aa13d1e78a9e690b5b13dab48eaba2eb9c2b460e5305d0bb95df6e4 | MATLAB | 1,201 | 49 | function Boris_spikeAnalysis(ephysdata, struct, thresh)
%temp
%thresh = 120;
% Prep & params
window = [20 40];
% manual spike time extraction
putitive_spikes = ephysdata > thresh;
rc = size(putitive_spikes);
RC = rc(1) * rc(2);
spikeVec = reshape(putitive_spikes', 1,RC);
% create spike window
for j = 1:length(spike... |
06d951a7e2c2187a045a28145b1977ca9c2b265faf18459b5dcec94598d51a94 | MATLAB | 1,202 | 44 | function handles = LoadDataList_cluster(DataListFile, handles)
%
%% Author: Xu Li
% Affiliation: Radiology @ JHU - Kirby Center
% Contact via xuli@mri.jhu.edu
% cluster version
% Open file
[PathName, FileName,FileExt] = fileparts(DataListFile);
% Something?
if(FileName ~= 0)
S = load(fullfile(PathName, [FileName... |
fa17025921bac42c7ce56975cd2409d604fd4ac8faace1508ebb5982c71cc6c0 | MATLAB | 1,202 | 30 | % VL_UBCMATCH Match SIFT features
% MATCHES = VL_UBCMATCH(DESCR1, DESCR2) matches the two sets of SIFT
% descriptors DESCR1 and DESCR2.
%
% [MATCHES,SCORES] = VL_UBCMATCH(DESCR1, DESCR2) retuns the matches and
% also the squared Euclidean distance between the matches.
%
% The function uses the algorithm sugg... |
7edea12c73c57028fe7d93e894414abc5d8daf70786193231dc5841916f3c257 | MATLAB | 1,204 | 49 | function plot_profile(DATA,ROI,AddInfo)
% PLOT_PROFILE - Plot profile
% (this is an Aedes plugin)
%
% Synopsis:
%
% Description:
%
% Examples:
%
% See also:
%
% This function is a part of Aedes - A graphical tool for analyzing
% medical images
%
% Copyright (C) 2006 Juha-Pekka Niskanen <Juha-Pekka.Niskanen@uku.fi>... |
2033e0661e2220280d3373a6b0704246af785ae6087ecf5c0ca1e22509835ff4 | MATLAB | 1,205 | 42 | function output = TDMS_initData(dataType,nSamples)
%TDMS_initData Initializes raw data arrays
%
% output = TDMS_initData(dataType,nSamples)
%
% dataType - Labview datatype
% nSamples - # of samples to initialize to
%
% See Also: TDMS_getDataTypeName
switch dataType
case 1
output = zeros(1,nSampl... |
a423893615721cfd6f6fc4949cbc9b08487b1987abe88ba8ecb65b94bdc478ab | MATLAB | 1,205 | 39 | function crc = neuralynx_crc(dat, dim)
% NEURALYNX_CRC computes a cyclic redundancy check
%
% Use as
% crc = neuralynx_crc(dat)
%
% Note that the CRC is computed along the first dimension.
% Copyright (C) 2007, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for t... |
91dcb8f7b95024949617481fa2d7eab9653a740c786c1edda71d2589699cbc8b | MATLAB | 1,206 | 40 | % mglFlushAndWait.m
%
% $Id:$
% usage: mglFlushAndWait()
% by: justin gardner
% date: 10/13/11
% purpose: Normally mglFlush waits till the vertical blank and so you will only refresh once
% every video frame. But with some video cards, notably ATI Radeon HD 5xxx series,
% ... |
9fda8371d0f57ab6756f5e8aa3aee0db5ab87d90f301a39bfb8fa64d6ea4abd8 | MATLAB | 1,206 | 39 | %% Create labels
labels{1,1} = 'Ant_Commissure';
labels{1,2} = 'Ant_Thalamic_Projections';
labels{1,3} = 'Ant_Segment_Arcuate';
labels{1,4} = 'Long_Segment_Arcuate';
labels{1,5} = 'Post_Segment_Arcuate';
labels{1,6} = 'Cingulum';
labels{1,7} = 'Cingulum_Ant';
labels{1,8} = 'Cingulum_Post';
labels{1,9} = 'C... |
2711a561b4ad91adbe51d0cc1a2d0b44c222588b1e3e8f9c43aace266b4f4440 | MATLAB | 1,207 | 41 | function BX = temporalBases_dense(X, bases, indices, addDC)
% Computes the convolution of X with the selected bases functions.
% It cannot do partial time indices. Use it for trial-based computation.
%
% Each row of X marks events, and with corresponding bases selected by indices,
% it is convolved to the feature matri... |
8b94bc660ad19acdd68a5c1d5bac104852624ff2656e90665ceb6dca68839b8a | MATLAB | 1,207 | 38 | function exportWorkspace( obj )
% EXPORTWORKSPACE Saves workspace
%
% Syntax:
% EXPORTWORKSPACE( obj );
%
% Input parameters:
% * obj - object containg data
%
% Example:
% EXPORTWORKSPACE( );
%
% Available at: https://github.com/NCN-Lab/DBScope
% For referencing, please use: Andreia M. Oliveira, Eduardo Carvalho... |
b9c59ebe09df020dca295344f2f1855df0e0053cfc1f7d3aeaca856e8cfd8e96 | MATLAB | 1,208 | 35 | //\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/
//
// mglSecs.m
// mglMetal
//
// Created by justin gardner on 1/5/20.
// Copyright © 2020 GRU. All rights reserved.
//
//\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/
#import "mglSecs.h"
#include <mach/mach.h>
#include <mach/mach_time.h>
@impl... |
e80f3bdb85f47435bbffe4413843a945675208ada4eb4471c07eb89083d9237f | MATLAB | 1,208 | 43 | function [C,Grad]=iRSHARP_SpaWeight(data,Params, Wrapcount)
% [C,Grad]=iRSHARP_SpaWeight(data,Params, Wrapcount)
% Author: Xu Li
% Affiliation: Radiology @ JHU
% Email address: xuli@mri.jhu.edu
%
% Calculating the iRSHARP spatial weight
% Gaussian kernel
Kwin = 5; % window size, cubic
khsize = floor(... |
7911e36fd87ffb05398ca540e6e58ac8667400d53a89cc4459c9886d6f99c663 | MATLAB | 1,209 | 31 | addpath('../funcs');
Delta_e_start = 0; % cannot equal to 0
Delta_e_end = 0.5; % can equal to 0.5
Delta_e_steps = 200;
Delta_i_start = 0; % cannot equal to 0
Delta_i_end = 0.05; % can equal to 0.05
Delta_i_steps = 200;
Iattn = 0.02;
alltime = 4000;
% container
psdPeaksSheet = zeros(Delta_e_steps, Delta_i_steps, 16... |
79c4cca5fe13fac2a359ddb9724f24a416a9f2bf64adc37a0bf756108aedca57 | MATLAB | 1,209 | 37 | function [params, s_new] = denoise_fica_gauss(params, s, state)
% FastICA gauss nonlinearity as DSS denoising function
% [params, s_new] = denoise_fica_gauss(params, s, state)
% params Function specific modifiable parameters
% params.a Scale constant (default: 1)
% state DSS algorithm state
% s ... |
8830f9312809be147509b3532ccbf74c66abb48e61b6c3a05407a820b0a44b63 | MATLAB | 1,209 | 26 | % Semi-automatically label neurons from the Tenaspis dataset.
%% Initial manual drawing
% Use an initial drawing GUI to draw masks by looking at
% either the frame-by-frame video or the summary images.
Manual_Labeling_data_TENASPIS
% Merge repeated drawings belonging to the same neuron.
merge_masks_after_manual_data_T... |
5db453c689c0526350ade1dfefecfa939aa90ddf2454720ed231df0fa784488d | MATLAB | 1,210 | 44 | % VL_DEMO_QUICKSHIFT Demo: Quick shift: basic functionality
pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;
% --------------------------------------------------------------------
% Load a figure
% ---------------... |
77ab5abcde98d503570b2892c1b852be29a91b40e36ec4f3e3bf09de03382255 | MATLAB | 1,210 | 40 | function [RandWatson] = randWatson(N, mu, k)
% This function generates the random samples from Watson distribution. The
% formula and algorithm of the generation process is descrbed in
% SphereDistributionRand.pdf.
%
% Usage:
% [RandWatson] = randWatson(N, mu, k);
%
% Inputs:
% N: The number of samples one wants to... |
8bec93378ce7ea6552f7de7199c55a6145ababdc5034212b3c46aa060d61adfc | MATLAB | 1,210 | 43 | %
% Generate an assortativity plot.
%
% PARAMETERS
% d (n*1) Degree vector
% A (n*m) Unweighted adjacency / biadjacency matrix; does
% not contain edge weights, but may contain other
% values than 0/1 when there are multiple edges
% letter Determines the color
% text (string) The word "degree" or similar in lower c... |
e4afa84abbd35dc2d5c3958cf2c6cc44741a3c87ff1d383236e89f98b8ba0e8a | MATLAB | 1,210 | 41 | function [aAngle, ax, ay] = ml_alg_placemap_center_out_angle(mapA, PLACEFIELD_PERCENTILE_THRESHOLD)
if isempty(PLACEFIELD_PERCENTILE_THRESHOLD)
PLACEFIELD_PERCENTILE_THRESHOLD = 95;
end
ax = nan;
ay = nan;
% Some maps can be all zeros or all nan or empty, so check
if all(mapA =... |
72ec45ff677da73d28c0992d88db4065ae3235d0a2fc6ce31bc23195a5e38ba1 | MATLAB | 1,211 | 28 | function [sptitle]=make_title(param,bin_size)
if strcmp(param.stat,'avg')
if strcmp(param.type,'before')
b=num2str(100-param.be(1));
bsize=num2str(param.be(2));
exthresh=param.exthresh;
sptitle={[bsize,' frame bins, ',b,' frames before onset'],['bin size = ',num2str(bin_size),' ... |
76965fa6fe516bd498fa1488836448b9eede82065650074df2c6edaeddbcde0a | MATLAB | 1,211 | 30 | function W = threshold_proportional(W, p)
%THRESHOLD_PROPORTIONAL Proportional thresholding
%
% W_thr = threshold_proportional(W, p);
%
% This function "thresholds" the connectivity matrix by preserving a
% proportion p (0<p<1) of the strongest weights. All other weights, and
% all weights on the main diago... |
9f1090e1a6628da2ae53396e82ed5f5c0b5bcce3c9d7406f5bba404a701bc7e6 | MATLAB | 1,211 | 40 | % produce MePD output calculation on beta2 x Kp space
clearvars; clc;
addpath("C:/Users/kn356/OneDrive - University of Exeter/Desktop/StandardMATLAB")
load("colour.mat")
addpath("C:/Users/kn356/OneDrive - University of Exeter/Desktop/StandardMATLAB/MePD")
load("par.mat")
par.d=0.05;
p1 = [0 , 7];
p2 = [0, 1]... |
a1bf4dc2970cf5cfa08955277d5d5a9b55a05f1a4e38068cf28cb8767ed2b6d9 | MATLAB | 1,211 | 41 | function ROIStruct = nifti2roi(fname)
%Converts a nifti file to a .roi -file for aedes
% Assumes areas of same value = roi
colorarray = [1 0 0; 0 1 0; 0 0 1; 1 1 0; 1 0 1; 0 1 1; 1 0.5 0; 1 0 0.5; 1 0.5 0.5; 0 0.5 1; 0.5 0.5 1];
colorarray = round(255*[colorarray; colororder]);
fig = aedes_read_nifti(fname);
roi_v... |
b94680e4536664422f2509c749db240b00f88601e7bd6d75e59dfed75dd64f8e | MATLAB | 1,211 | 42 | %% TEMPORAL RECONSTRUCTION for 36 maps GICA3
clearvars -except results pcadata
% Define paths
maskPath = '/boundarymask.mat';
indPCAMusPath = fullfile(pcadata, 'boundarymask_Mus_indPCA.mat');
indPCANonMusPath = fullfile(pcadata, 'boundarymask_NonMus_indPCA.mat');
groupPCAPath = fullfile(pcadata, 'segmentBoundary_combi... |
dcfba0fe9759c8ecf289ada56fc57652277fbfa0a2705bc203b47f432460a46f | MATLAB | 1,211 | 68 | %
% For one network, scatter plot of degree vs local clustering coefficient.
%
% PARAMETERS
% $network
%
% INPUT FILES
% dat/cluscod.$network.mat
% uni/out.$network
%
% OUTPUT FILES
% plot/degcc.{a}.$network.eps
%
network = getenv('network');
consts = konect_consts();
weights = read_statistic('weights', network... |
6aecc7125341732043a23e820073082d33dcd8c97d1fbaf81164297a094f7d92 | MATLAB | 1,212 | 32 | function DM = ft_preproc_online_downsample_init(factor)
% function DM = ft_preproc_online_downsample_init(factor)
%
% Initialize an downsampling model with the given factor.
% Copyright (C) 2010, Stefan Klanke
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% for the documentation and ... |
6c95e9e978e8609db57c8a3f5c18c2e241e33634c2e9d10a21404ee2f4e10369 | MATLAB | 1,213 | 56 | function Q = qGetQ( R )
% qGetQ: converts 3x3 rotation matrix into equivalent quaternion
% Q = qGetQ( R );
[r,c] = size( R );
if( r ~= 3 | c ~= 3 )
fprintf( 'R must be a 3x3 matrix\n\r' );
return;
end
% [ Rxx, Rxy, Rxz ] = R(1,1:3);
% [ Ryx, Ryy, Ryz ] = R(2,1:3);
% [ Rzx, Rzy, Rzz ] = R(3,1:3);
... |
9cf10a5336069ae02c1d8d5ee7c5dc55dddc605ac8ae49ec20a3dbd416c435f8 | MATLAB | 1,214 | 52 | function [t] = randVMFMeanDir(N, k, p)
% This function generate random samples from the tangent direction of von
% Mises-Fisher distribution using rejection sampling. The density of is
% described in VMFMeanDirDensity function. See the
% SphereDistributionsRand.pdf file for detail description and formulas.
%
% Usage:
... |
2578097c4f36fcf6e98efc9f9fe27c3ef4b7b873e521e061599f36628c437a3d | MATLAB | 1,215 | 39 | function [T] = ml_util_pfstats_struct_to_table(pfStats)
% This code converts the pfStats structure into a table. It has to
% first be loaded to memory.
numCells = length(pfStats);
% All of the fields
fieldNames = fields(pfStats);
% The t filenames are not in an array of 1xtrials like the othe... |
34c3bb1bb0b207d446ecbaa244d33536bd443db9486a8e48ce733ffefde80eea | MATLAB | 1,215 | 46 | % replaceValuesOutsideThresholdBound.m
%
% REPLACEVALUESOUTSIDETHRESOLDBOUNDS replaces all values that are above or
% below a threshold with the last preceding value that was within the
% allow threshold bounds
%
% INPUT:
% data - 1 dimentional array to be processed
% threshold - number that defines the +/- th... |
4e4057c54fd6bce49b2d7c6fb20913f195257162e116d9fe32da1f0d88b859b8 | MATLAB | 1,215 | 43 | % calculatedRandomization.m
%
% usage: calculatedRandomization()
% by: eric dewitt
% date: 10/28/2009
% purpose: function that decides order of parameters,
%
function retval = calculatedRandomization(parameter,previousParamIndexes)
%%%%%%%%%%%%%%%%%%%%%%
% do init
%%%%%%%%%%%%%%%%%%%%%%
if nargi... |
59aef83039aec065b5abc1bb639e751d01bda6fcc68c64f87de742e460d87662 | MATLAB | 1,215 | 31 | % VL_IMSMOOTH Smooth image
% J = VL_IMSMOOTH(I,SIGMA) convolves the image I by an isotropic
% Gaussian kernel of standard deviation SIGMA. I must be an array
% of doubles. IF the array is three dimensional, the third dimension
% is assumed to span different channels (e.g. R,G,B). In this case,
% each channe... |
736f468a6395f25d20a1f2d09ff4a18c6be47d372912557f1d6081ac99b83dff | MATLAB | 1,215 | 73 | %
% Draw Zipf plots. This is the transpose of the BIDD plot, i.e., of
% the cumulative degree distribution.
%
% PARAMETERS
% $network
%
% INPUT
% dat/data.$network.mat
%
% OUTPUT
% plot/zipf.[auv].$network.dat
% a - total
% u,v - Row/column based (only BIP and ASYM)
%
network = getenv('network');
data = load... |
722fb7344e9da37f74e254ce6e31e63d8ade112940c87386c54f80d1f029244a | MATLAB | 1,217 | 40 | function []= plot_vector_similarity (ds_unit_angles,ds_within_angles)
figure(90)
utils.set_figure(20)
hold on
bar([1,2,3],[mean(ds_unit_angles(1,:),'omitnan'),mean(ds_unit_angles(3,:),'omitnan'),mean(ds_unit_angles(2,:),'omitnan')],'FaceColor','w','EdgeColor','k')
for i = 1:12
plot ([1 2 3],[ds_unit_angles(1,i),... |
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