sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
b4041ca67b895640b9f743423c75fd4a217036a9f94f83b3dd301e1fa87d28bc | MATLAB | 993 | 38 | function self = downsampleSpiking(self,cel,f)
% Randomly removes spikes to achieve a lower mean firing rate
%
% root = root.downsampleSpiking(cel, newMean)
if ~exist('cel','var')
if isempty(cel)
cel = self.cel;
end
else
self.cel = cel;
end
% duration of current epoch selection
t = sum(diff(sel... |
30b576588f355b69356b3c32d7275547acdc842795f35e0e54fd9b251d6d0e8e | MATLAB | 994 | 34 | function [ ints ] = MergeSeparatedInts( ints,minseparation )
%[ ints ] = MergeSeparatedInts( ints,minseparation ) merges close or
%overlapping intervals with a minimum separation.
%
%INPUT
% ints (n_ints x 2) matrix of interval start and end times
% minseparation merge ints separated by less than or eq... |
50705837c0b416900dd33da27de11d0fe5ac59fa0e658c3d8f8ae15dcc79cc06 | MATLAB | 995 | 42 | %isstring - Test if parameter is an (admissible) character string.
%
% USAGE
%
% test = isstring(x,string1,string2,...)
%
% x item to test
% string1... optional list of admissible strings
%
% SEE ALSO
%
% See also isdmatrix, isdvector, isdscalar, isimatrix, isivector, isiscalar.
%
% Copy... |
543cc2e7aebec78a0228146c3c4a59c7082087caf59cdc75775bd5f37e0fa0fb | MATLAB | 996 | 34 | function line = UIAddLine(dir,varargin)
%UIAddLine - Interactively add horizontal/vertical line to existing plot.
%
% USAGE
%
% line = UIAddLine(dir,<options>)
%
% dir 'v' for vertical, 'h' for horizontal
% <options> options for function <a href="matlab:help plot">plot</a>
%
% NOTE
%
% Cl... |
6eef6483bbc3cbd2a826d10f5e5a27618432434a1fe057bed86069bef8888d68 | MATLAB | 996 | 25 | function ea_displayOptimResults(activ_profile_fig, symptom_profile_fig)
%info1 = [ea_getearoot, 'ext_libs/OSS-DBS/OSSSettings_pt1.png'];
%info2 = [ea_getearoot, 'ext_libs/OSS-DBS/OSSSettings_pt2.png'];
if ispc
winopen(activ_profile_fig);
winopen(symptom_profile_fig);
elseif ismac
... |
23d6308eaa9d17687abe7a978326421b2cf1f1e610852ec91c54ae5f69fe6cae | MATLAB | 997 | 25 | function cvx_tic
%CVX_TIC Resets the CVX timing functionality.
%
% CVX collects the following timing information:
% --- Elapsed time since CVX_TIC was last called. If CVX_TIC was never
% called, this measures the time since CVX was first initialized.
% --- Elapsed time spent between top-level CVX_BEGIN an... |
39e7d3011815034c4e1f07fdc9415a70f0049af9e274e6e507a5e1b42b636297 | MATLAB | 997 | 39 | function lc=ea_initlcopts(varargin)
% usage: ea_initlcopts([handletolcfig],[lc])
if nargin>1
lc=varargin{2};
else
if isempty(varargin{1})
handles=lead_connectome;
else
handles=varargin{1};
end
prefs = ea_prefs;
lc.general.parcellation = prefs.lc.defaultParcellation;
lc.graph... |
47dc178a007da332d29d68089ac13956305d730a92e358345267e2dfa12f3df6 | MATLAB | 998 | 33 | % Check conditions:
fmridisplay_is_ok = true;
if ~exist('o2', 'var') || ~isa(o2, 'fmridisplay')
fmridisplay_is_ok = false;
elseif length(o2.montage) < whmontage
% wrong fmridisplay object for this plot
fmridisplay_is_ok = false;
elseif ~all(ishandle(o2.montage{whmontage}.axis_handles))
% Figur... |
0f5391aca3383bf2b17a90a85c244f421359c7e685fa0922250bc1a12088eb89 | MATLAB | 1,000 | 24 | function cvx_optval = norm_largest( x, k )
%NORM_LARGEST Sum of the k largest magnitudes of a vector.
% NORM_LARGEST( X, k ) computes the 'largest-k' norm; that is, it computes
% the sum of the magnitudes of the k largest elements in X. X must
% be a vector, and k must be a real scalar.
%
% Disciplined convex ... |
db944b2356ba3355d2cbbb4109025ea749c5ec75d730021aefff7766e19a4a22 | MATLAB | 1,000 | 38 | %
% gives you a matrix where
% d( ix(i,j) , ix(ii,jj) ) = distance^2 between (i,j) & (ii,jj)
%
% cyclic_type
% 1 => cyclic boundary rules
% 2 => non-cyclic boundaries
function d = simpledistance( dim , cyclic_type )
d = 0;
ix = indexmatrix( dim );
N = prod( dim );
d = zeros( N , N );
for i=1:d... |
df7e73ca4c813e7846575559813d4182f44e12c80f31c99041832bcc35905f41 | MATLAB | 1,000 | 29 | % ENCODE serialize MATLAB data as a TOML string
%
% ENCODE(some_struct) returns the TOML representation of the data in
% `some_struct`.
%
% See also TOML.DECODE, TOML.WRITE
function toml_str = encode(m_strct)
if isstruct(m_strct)
if isscalar(m_strct)
% order fields so nothing gets nested wrong
... |
74a167e022188f74806f51b6d2bdfccec4454d044b4e024f7f97c1cde674fca3 | MATLAB | 1,001 | 29 | function obj=set_title(obj,title,varargin)
%set_title Add the specified title to the figure
%
% Example syntax: gramm_object.set_title('Title','FontSize',14)
%
% set_title takes as first argument the string to use for the
% title, and cant receive optional 'Name',value pairs to
% specify additional text properties of t... |
af48acc0d2b7a3d4b2057966505ddecf429b7f3c2693c32f0267756267ccf00a | MATLAB | 1,001 | 37 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%% CPC METACOGNITION TUTORIAL 2019: CALCULATE TYPE2ROC %%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Function to calculate the area under the type2 ROC curve
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
f92f0802036cb0fc2d33cdf204d30366a9adacb6062704379d1079afebe1851f | MATLAB | 1,001 | 30 | %%************************************************************************
%% HSDNTcorr: corrector step for the NT direction.
%%
%% SDPT3: version 3.1
%% Copyright (c) 1997 by
%% K.C. Toh, M.J. Todd, R.H. Tutuncu
%% Last Modified: 16 Sep 2004
%%************************************************************************
f... |
6945a731d54e49823f25d7a2727d56d114cf7a47375f14d444894a5b45320a13 | MATLAB | 1,003 | 36 | function outpoints = tal2mni_brett(inpoints)
% Converts coordinates to MNI brain best guess
% from Talairach coordinates
% FORMAT outpoints = tal2mni(inpoints)
% Where inpoints is N by 3 or 3 by N matrix of coordinates
% (N being the number of points)
% outpoints is the coordinate matrix with MNI points
% Matthew Bret... |
efb607464c0e173ae641d6cec7682bf5b6cfd5818272bc96b6d2ee298fd02d0f | MATLAB | 1,003 | 27 | function ea_dbsegment_menu(handles)
% Run DBSegment from Tools menu.
bids = getappdata(handles.leadfigure, 'bids');
subjId = getappdata(handles.leadfigure, 'subjId');
if isempty(bids) || isempty(subjId)
ea_cprintf('CmdWinWarnings', 'No patient selected!\n');
return;
else
subj = bids.getSubj(subjId{1});
... |
4935f003d476505850b24394a93fbe393c16db9e89bb8411d43a5df131f872bc | MATLAB | 1,004 | 44 | function [nch, npoints, freq, d] = ddt(filename)
% ddt(filename) Read data from a .ddt file
%
% [nch, npoints, freq, d] = ddt(filename)
%
% INPUT:
% filename - if empty string, will use File Open dialog
%
% OUTPUT:
% nch - number of channels
% npoints - number of data points for each channel
% freq - A/D freque... |
c3ff588854909686c11db2c7f8ddb93ad7d88ea81878f2bddb0ce7929e468467 | MATLAB | 1,004 | 43 | function f=surfaceclean(f,v)
%
% f=surfaceclean(f,v)
%
% remove surface patches that are located inside
% the bounding box faces
%
% author: Qianqian Fang, <q.fang at neu.edu>
% date: 2008/04/08
%
% input:
% v: surface node list, dimension (nn,3)
% f: surface face element list, dimension (be,3... |
36606b1a95c81e3d7645927e4cb8ab88e9451f9643f7eeedf608d25d790e3f19 | MATLAB | 1,005 | 52 | function node_coord = gmsh_mesh2d_node_data_example ( node_num, node_dim )
%*****************************************************************************80
%
%% GMSH_MESH2D_NODE_DATA_EXAMPLE returns the node information for the example.
%
% Licensing:
%
% This code is distributed under the GNU LGPL license.
%
% M... |
6a4a4a778862e25a295efa16d611e06a4883ff136d47f1e053d99321ca44f662 | MATLAB | 1,005 | 33 | function kap=kappa0(x,y,varargin)
% Compute the constants for `tube-formula' based simultaneous
% confidence bands.
%
% Works for regression models only. Density estimation problems
% should be converted to counts, and use poisson regression
% 'family','poisson'.
%
% Essentially, this is a front-end to locfit, and so ... |
fe33179ff76bd5117c1faac903f73d0e76c09ba5257d916c02e861d7264ec972 | MATLAB | 1,005 | 26 | function target = copyaxes(source)
%COPYAXES Duplicate axes in a new figure.
% COPYAXES(AX) makes a copy of the axes specified by the handle AX in a
% new figure. The copied axes are identical to the original except that
% their position is modified to fill the new parent figure. This can be
% used t... |
050c4a78444687b9e8bc2080e635c7fdc425470f7a32df12c690a3e4bb7cf27b | MATLAB | 1,006 | 37 | function binname=mcpath(fname)
%
% binname=mcpath(fname)
%
% get full executable path by prepending a command directory path
% parameters:
%
% author: Qianqian Fang, <q.fang at neu.edu>
%
% input:
% fname: input, a file name string
%
% output:
% binname: output, full file name located in the bin directory
%
% ... |
4e1ea6d0c0c148099ad2b49b1d2d9e4e7564a94684e92873e9394294f7dd4ce1 | MATLAB | 1,006 | 45 | function [ ] = sjMotif( genomeDir, sjIn, sjOut )
%sjMotif add splice junction motif as the last column
% genomeDir: STAR genome directory
% sjIn: splice junction loci file name (chr intron_strart intron_end)
% sjOut: output file name
%% load genome
fin1=fopen([genomeDir '/chrName.txt']);
chrName=textsca... |
5524dc6f33817d5329211683e99866679a6536632e47a324dcf83ed60a69f7e6 | MATLAB | 1,006 | 34 | function s = sem(x,varargin)
%sem - Compute standard error of the mean (SEM).
%
% USAGE
%
% s = sem(x)
%
% x vector or matrix over which the SEM should be computed
% dim dimension to run SEM across (default = 1)
% Copyright (C) 2008-2013 by Michaël Zugaro
%
% This program is free sof... |
01fd855065156c6f7793148358ad95c4d65ce790bd98a40fa4a1b493608ceb2b | MATLAB | 1,007 | 23 | function v = ea_unring(v,params)
% unring - tool for removal of the Gibbs ringing artefact
% Usage: outvol = unring(invol,params)
% Options: invol - input volume
% params - 3x1 array with [minW maxW nsh]
% nsh discretization of subpixel spaceing (default 20)
% minW lef... |
356b2d11668e4506f17ec7377e1b4db557e390e039d93f794eff6a11296877f2 | MATLAB | 1,007 | 14 | % Graph Laplacian eigenvalue optimization
% <a href="http://stanford.edu/~boyd/cvx_opt_graph_lapl_eigs.html">Convex Optimization of Graph Laplacian Eigenvalues</a>
%
% larger_example.m - FDLA and FMMC solutions for a 50-node, 200-edge graph
% cut_grid_example.m - FDLA and FMMC solutions for a 64-node, 95-edge cut-g... |
84d7a3ebb13c3342bb2797d2885ae5b41dcdc6621dc97e56cc16a3c6cc37911a | MATLAB | 1,009 | 26 | % Local Estimation a spike firing rate (in spikes per unit time).
%
% The estimation procedure approximates the log of the spike firing
% rate by a quadratic polynomial, within a sliding window.
%
% The first argument to locfit() is a column vector of the spike times.
% 'family','rate' specifies that the output o... |
030d86c83dccd1e1951409756933cc4128d63a6e50b178b26dfd65f47caf9d6a | MATLAB | 1,010 | 37 | %%*******************************************************************
%% schurmat_lblk: compute A*D*A'
%%
%% SDPT3: version 3.1
%% Copyright (c) 1997 by
%% K.C. Toh, M.J. Todd, R.H. Tutuncu
%% Last Modified: 16 Sep 2004
%%*******************************************************************
function [schur,UU,EE] = schu... |
ccfd11288a2b0acb41edcb3db7f9434beeb3e30389eda3ad5968e9a1fcf8776c | MATLAB | 1,010 | 19 | function fileList = getAllIntanFiles(dirName)
dirData = dir(dirName); %# Get the data for the current directory
dirIndex = [dirData.isdir]; %# Find the index for directories
fileList = {dirData(~dirIndex).name}'; %'# Get a list of the files
fileList=fileList(cellfun(@any,strfind(fileList,'.int')));... |
f16302ab2341d49ce95ff1f797218f755b3ccf7751c2043d195273780a86e8c4 | MATLAB | 1,010 | 37 | clear all
cbmex('open');
cbmex('trialconfig',1,'absolute')
samplingFreq = 30000;
eventChannel = 1;
contChannel = 1;
EventLFPs = [];
EventLFPTotal = [];
contRange = -50:50;
pause(0.5);
while size(EventLFPTotal,1) < 500
[spikeData, procTime, contData] = cbmex('trialdata',1);
%Example channel to choose for per... |
f49cbc8fcf678c2f18b5c6e015fb148d68225f923614d7f4dbc0d41fb3357162 | MATLAB | 1,010 | 29 | %% Figure 3 supp 1
YOURDATAPATH = '';
% Load ROIs and PETHs data
fileList = searchFilesRecursive(YOURDATAPATH, 'allROIs.mat');
load(fullfile(fileList.folder, fileList.name))
load('allenDorsalMap.mat');
% Get modulation data
areas = {'M2', 'M1', 'S1-fl', 'S1-hl', 'S1-tr'};
modField = 'modCue';
areaMods = getAreaModula... |
2beed688d8f4b37c754ba6556d9fbb67d196cc3886d9332ff3a6b3d60021074a | MATLAB | 1,011 | 44 | function dataOUT = fun_normalize_psd(dataIN, freqs, lims, method)
% Normalizes power spectral density estimates.
%
% Required input:
%
% dataIN: A frequency x channel array containing the PSD estimate
% for each frequency bin from each channel
%
% freqs: A nx1 array indicating the frequency at each bin (each row of
% d... |
888d504c2a69161d830182e0bb69be9ca2e4c0d754159f31d336222c63549cfb | MATLAB | 1,011 | 41 | function [fname] = array2path(fnameArray,replaceString)
% Recombines the strings stored in fnameArray
% with the system appropriate
% filesep symbol to generate a valid path.
%
% INPUT ARGS:
% fnameArray - A cell array in which each cell holds the names of folders
% and the last cell may hold a file name.
%
% OUT... |
afa00f72dc4ba10840f66678680ddd13db8b3b689ac2ddf59e5d3b6be0589ed3 | MATLAB | 1,011 | 29 | function y = sum_square( x, dim )
%SUM_SQUARE Sum of squares.
% For vectors, SUM_SQUARE(X) is the sum of the squares of the elements of
% the vector; i.e., SUM(X.^2).
%
% For matrices, SUM_SQUARE(X) is a row vector containing the application
% of SUM_SQUARE to each column. For N-D arrays, the SUM_SQUARE oper... |
0a876a9bb16caaa44c1c3cd5c9f9c91f672d306bb2f8d99868856d01b6b2798d | MATLAB | 1,012 | 33 | % Section 6.1.2: Residual minimization with deadzone penalty
% Boyd & Vandenberghe "Convex Optimization"
% Joelle Skaf - 08/17/05
%
% The penalty function approximation problem has the form:
% minimize sum(deadzone(Ax - b))
% where 'deadzone' is the deadzone penalty function
% deadzone(y)... |
a8640dfa009e3a18b92e0b493e603992dfdea36a67fffc487d104df253dd5c0d | MATLAB | 1,012 | 33 | function ea_unarchivefolder(options)
% function to unarchive lead-dbs folders as lossless as possible.
% unzip sourcedata:
if exist([options.subj.sourcedataDir,'.zip'],'file')
unzip([options.subj.sourcedataDir,'.zip'],fileparts(options.subj.sourcedataDir))
ea_delete([options.subj.sourcedataDir,'.zip']);
end
%... |
fb73725257db753eef94bdb8738a18bad3dab05685d3f496fe065f4d034bdb7e | MATLAB | 1,012 | 33 | function obj=set_names(obj,varargin)
% set_names Set names for aesthetics to be displayed in legends and axes
%
% Example syntax : gramm_object.set_names('x','Time (ms)','y','Hand position (mm)','color','Movement direction (°)','row','Subject')
% Supported aesthetics: 'x' 'y' 'z' 'color' 'linestyle' 'size'
% 'marker' '... |
2ef9ac391407d73d1b48ca5c651529dc84f04ffa9322d7f813b1ae1a501bcd3a | MATLAB | 1,013 | 26 | % Model the success probability of successive trials of a monkey
% performing a task.
%
% The 'y' variable is a vector of 0/1, with 1 denoting success on
% the trial; 0 failure. The fitting procedure uses logistic
% regression within sliding windows (specified by the 'family','binomial'
% arguments).
%
% Choosing the b... |
d3ed6e2c575edab8228518bb58f6c6c38d95c7691e36db97b90e1c5017c5f460 | MATLAB | 1,013 | 24 | % std_plot() - This function is outdated. Use std_plottf() to plot time/
% frequency decompositions and function std_plotcurve() to
% plot erp and spectrum.
% Copyright (C) 2006 Arnaud Delorme
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the... |
92c2c2a7c29af988304e70e9c4ebfc03c1a31fcf4ad20a9b0cdb217195a4ed92 | MATLAB | 1,014 | 31 | function data_out = Trinh_filterEEG(data_in,filter,freq)
% filters data according to need, can be bandpass, noise, low or high
% insert data from ft_processing
% insert filter (bp,lp,hp) as string
% insert freq in array [0.3 30]
% trinh nov 22
if filter=='bp'
cfg = [];
cfg.bpfilter... |
9cb890ebf5e51caa921497b411d1cda74e4c46e6d6ba7d150ce2e431ea6da7ad | MATLAB | 1,015 | 28 | % Local Regression and Likelihood, Figure 7.1.
%
% Estimating the hazard rate for censored survival (or
% failure time) data. Hazard rate estimation is specified
% by 'family','hazard'.
%
% The censoring indicator variable is passed as the 'cens'
% argument. This should be a vector of 0's and 1's, with 1
% indicating a... |
0b55be8efd8a01072f31dd9dd8dd1c1ec09bb1505ea5130ecc90003a0d1a7b84 | MATLAB | 1,016 | 32 | function ea_archivefolder(options)
% function to archive lead-dbs folders as lossless as possible to save
% storage space.
% zip sourcedata:
if ~exist([options.subj.sourcedataDir,'.zip'],'file')
try zip([options.subj.sourcedataDir,'.zip'],options.subj.sourcedataDir); end
ea_delete(options.subj.sourcedataDir);
... |
66fafb269073cb9f0e6f0c24b95d49a3935bdbc7bc55358877a2c180008ddb4b | MATLAB | 1,016 | 31 | function expressions( varargin )
%EXPRESSIONS Declares one or more CVX expression holders.
% EXPRESSIONS x1 x2 x3 ..., where x1, x2, x3, etc. are valid
% variable names, declares multiple cvx expression holders. It is
% exactly equivalent to issuing a separate EXPRESSION command
% for each x1, x2, x3, ...
% ... |
ae5ddd889779674db0ac2f9272dd30f3c9b4e68363cb14839edf70f52d73af68 | MATLAB | 1,016 | 27 | function z = uminus( x )
% Disciplined convex programming information for UMINUS (-):
% Unary minus may be used in DCPs without restrictions---with the
% understanding, of course, that it produces a result with the
% opposite cuvature to its argument; i.e., the negative of a convex
% expression ... |
b37af1aee8e10d971883d555d1f10957dedd9794568263277d6ff9dabaa9a433 | MATLAB | 1,016 | 33 | function initialise(fa)
% Initialise file on disk
%
% This creates a file on disk with the appropriate size by explicitly
% writing data to prevent a sparse file.
%__________________________________________________________________________
% Copyright (C) 2013 Wellcome Trust Centre for Neuroimaging
%
% $Id: initialise.... |
bb27ec971ba0e19036cd1b110389d3538ad59abf49c6fe1775ea0a118d2f5f91 | MATLAB | 1,016 | 38 | % Section 8.1.1: Separating a point from a polyhedron
% Boyd & Vandenberghe "Convex Optimization"
% Joelle Skaf - 10/09/05
%
% The goal is to produce a hyperplane separating x0 and the polyhedron
% defined as {x | Ax <= b}
% minimize mu'*x0 - b'*lambda
% A'*lambda = mu
% ... |
690e00143760c697932e446fbbdaa0d840fa3aa480f9c7ba0cb988b584d820d8 | MATLAB | 1,017 | 42 | %isstring_FMAT - Test if parameter is an (admissible) character string.
%
% USAGE
%
% test = isstring_FMAT(x,string1,string2,...)
%
% x item to test
% string1... optional list of admissible strings
%
% SEE ALSO
%
% See also isdmatrix, isdvector, isdscalar, isimatrix, isivector, isiscalar.... |
ce1252a94e049b9307319683311f4b8686bcf06901cd2f1630718fb874823b99 | MATLAB | 1,017 | 27 | function A = read_raw_file(filename,framenum,window,FOV,bitsize)
%% Starting from frame number: 'framenum', read 'window'
fid = fopen(filename);
imsize = FOV(1)*FOV(2)*bitsize; % Bit size of single frame
current_seek = ftell(fid);
fseek(fid, 0, 1);
file_length = ftell... |
7ee6d4209be20200e97df667b83730138e71bbdd53aa4448c2c7a4c6e52e54c8 | MATLAB | 1,018 | 46 | function [A,xy]= cut_grid_data
% Generate a cut-grid graph for the ICM 2006 talk example
%
% The graph has 64 nodes and 95 edges
% A is an n x m incidence matrix (n is number of nodes, m is number of edges)
% xy is the location data
%
% Original code by Arpita Ghosh, modified for ICM06 talk by Almir Mutapcic
n = 8; ... |
58068179c2288e1828e1d4b4fe35c02cf5b4f94d0d1b6d97896b0ba0d8524a89 | MATLAB | 1,019 | 29 | function obj = set_line_options( obj , varargin )
% set_line_options Set line size and style options
%
% 'name',value pairs:
% 'base_size': Default/starting line width for geoms that take in account size
% aesthetics. Default is 1.5
% 'step_size': Increment in line width for 'size' categories. Default is 1
% 'use_input... |
9d3d0b6c0c70a12ec947bf13d4db96520c4bbf570b7b1072e1aa18201572b347 | MATLAB | 1,019 | 37 | %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%%%%%%% CPC METACOGNITION TUTORIAL 2019: CALCULATE TYPE2ROC %%%%%%%%%%%
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Function to calculate the area under the type2 ROC curve
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%... |
9fdfef085397545118c6bd522ef673b9499221c819aba504c45d8a2e16dcf80a | MATLAB | 1,019 | 35 | function [ops, mean_cor] = reg_iterative(data, ops)
fracImgPreAlign = getOr(ops, 'fracImgPreAlign', 1/2);
maxImgPreAlign = round(size(data,3) * fracImgPreAlign);
ops.mimg = pick_reg_init(data);
dsold = zeros(size(data,3), 2);
err = zeros(ops.NiterPrealign, 1);
%%
tempSubPixel = ops.SubPixel;
ops.SubPixel = Inf;
for ... |
159997e2bc5161357ed05aeef2fd532184d77e192d8a44c3c7edcdebb7e4517d | MATLAB | 1,020 | 32 | function ea_precoreg(anchorImage, templateModality, preCoregImage, preCoregTransform)
% Pre-coregister pre-op anchor image to template (without reslicing).
% Make dirs
ea_mkdir(fileparts(preCoregImage));
ea_mkdir(fileparts(preCoregTransform));
% Copy anchor image to pre-coregistered image and leave anchor image untou... |
26e30fb5e524a0de1e4de5c6de1d4673f3559c01cc88bd6dc56dd4e621a2e0d6 | MATLAB | 1,021 | 38 | function [y,arc]=myarfilt(x,ord)
% Usage ... [y,arcoeffs]=myarfilt(x,order)
if prod(size(x))>length(x),
for nn=1:size(x,2),
arc(nn,:)=aryule(x(:,nn)-mean(x(:,nn)),ord);
y(:,nn)=filter(arc(nn,:),1,x(:,nn)-mean(x(:,nn)));
end;
else,
x=x(:);
arc=aryule(x-mean(x),ord);
y=filter(arc,1,x-mean(x)... |
6e105b563af137b7519d9515c1046c8288e10d675e6660138fc04a2a726643aa | MATLAB | 1,021 | 33 | function data = data_WT_raw()
% TOTAL NSC COUNTS (FACS)
data.NSC.times = [60 210 660];
data.NSC.raw = {
% 60 days
[768, 919, 813, 670, 839, 704, ...
764, 755.5, 1254.5, 845.5, 708, 1221, 804, 699, 660, ...
1108.5, 788, 607.5, 659, 861, 666],
% 210 days
... |
323cb0bb9d39cedbb3809dfa3db9ef2d8b6a2e13e14d1d62d9b20abad977250a | MATLAB | 1,022 | 23 | function J=mtfftc(data,tapers,nfft,Fs)
% Multi-taper fourier transform - continuous data
%
% Usage:
% J=mtfftc(data,tapers,nfft,Fs) - all arguments required
% Input:
% data (in form samples x channels/trials or a single vector)
% tapers (precalculated tapers from dpss)
% nfft (length of padded data... |
82e1512d649583247b23b9e1b18d3794eef5bd333fda6127f9d29d282a72255f | MATLAB | 1,022 | 41 | function [] = plx_ad_info(filename)
% plx_ad_info(filename): prints .plx file a/d channel info
%
% plx_ad_info(filename)
%
% INPUT:
% filename - .plx file name. Will use file open dialog if filename is empty string
%
% OUTPUT:
% (none)
if nargin ~= 1
error 'expected 1 input argument';
end
[ fil... |
8b3be38d94106fa010a851d97de6541375eadc0a2eca4f99bb030435b250007f | MATLAB | 1,022 | 18 | function ModelParams = Anisotropy(ModelParams, AnisotropyFlag)
% Check if AnisotropyFlag is true or false
if AnisotropyFlag
disp('Simulating GRE data with anisotropy');
ModelParams.Chimap_file = 'data/chimodel/Chi_with_anisotropy.nii.gz';
ModelParams.Chiposmap_file = 'data/chimodel/... |
8fc5c3d68eff9fb8c5d6d7ecede0df42489086bff6e413d20075ed79d108742e | MATLAB | 1,022 | 43 | function [node,elem,edges,edgemap]=readgts(fname)
%
% [node,elem,edges,edgemap]=readgts(fname)
%
% read GNU Triangulated Surface files (GTS)
%
% author: Qianqian Fang, <q.fang at neu.edu>
% date: 2008/03/28
%
% input:
% fname: name of the OFF data file
%
% output:
% node: node coordinates of the mesh
% elem: l... |
00518d44b52cf279361f6ab04f3da3d5cd0ed70fda01b1f3f94d627e76e8dd27 | MATLAB | 1,023 | 27 | %% Example 3 for utilizing the LDA model
% This example shows how to order topics according to co-usage in documents
% This will an ordering over topics where topics that co-appear often with
% other topics in documents to have similar indices.
%
% This examples uses the OrderTopics function. In this procedure, fo... |
17bcab70ec063ef34dab96fb1c08aa6c61e78b0a16e5db90847f1e7a72405d81 | MATLAB | 1,024 | 34 | function vw = close(vw)
%VW=CLOSE(VW)
% Closes video VW and releases any system resources necessary to access it
% (e.g. threads, file handles, etc.). Do NOT just clear a videoWriter
% object without first closing its handle:
%
% % BAD code--typically will leak system resources
% vw = videoWriter(...);... |
1a53cf4c459a698a96a0ef0793935c14160e2d7b341c97edce109863db8b249f | MATLAB | 1,024 | 32 | function [ ] = set_alpha(input_handle,line_alpha,point_alpha)
persistent old_matlab
if isempty(old_matlab)
old_matlab=verLessThan('matlab','8.4.0');
end
if ~old_matlab
%Works for continuous color points made with scatter, but alpha goes
%back to 1 when CLimMode is set to manual in draw(), line 835
if... |
2230015e334cc6e0c7b74cd8dda8890ad3741332f425cecf33bf3997425a2479 | MATLAB | 1,024 | 28 | function obj3 = bsxfun(f, obj1, obj2)
if isa(obj2, 'mmo'), error('bsxfun does not work yet with the second argument being a memory mapped object'); end;
data1 = memmapfile(obj1.dataFile, 'writable', obj1.writable, 'format', { 'single' obj1.dimensions 'x' });
data2 = obj2;
% make new memory mapped data... |
a8aef9295ef1155be1400aa625343eb47e1d14f87ac452094c7190c1e59dc2dd | MATLAB | 1,024 | 28 | function y = sum_square_pos( x, dim )
%SUM_SQUARE_POS Sum of squares of the positive parts.
% For vectors, SUM_SQUARE(X) is the sum of the squares of the positive
% parts of X; i.e., SUM( MAX(X,0)^2 ). X must be real.
%
% For matrices, SUM_SQUARE_POS(X) is a row vector containing the
% application of SUM_SQU... |
c56c8b8dfeee3c90a4114522d4d9f69b56964c8f99e3a058873c27e78e45fc97 | MATLAB | 1,024 | 52 | function MIhat = MutualInfo(L1,L2)
% mutual information
%===========
L1 = L1(:);
L2 = L2(:);
if size(L1) ~= size(L2)
error('size(L1) must == size(L2)');
end
Label = unique(L1);
nClass = length(Label);
Label2 = unique(L2);
nClass2 = length(Label2);
if nClass2 < nClass
% smooth
L1 = [L1; Label];
... |
e5861e79575e8602983553d4059a9826aa5cff13daa2eb173b17e432c637d943 | MATLAB | 1,024 | 32 | function CleanBatches
%CleanBatches - Delete completed batch jobs from memory.
%
% Batches cannot be removed from memory using 'clear' (they are based on Matlab
% timers, which are kept in memory even after the variables are cleared). This
% function will take the appropriate steps.
%
% This will not affect pending or... |
f8642bfa1c698b01078ca16f8bdad0f3bf26a773856c784bb04b3c30a7c8aa70 | MATLAB | 1,024 | 21 | function SJ = buildPathAdjJacobian(nirs_model, epsilon_mm_uM, brain_nodes_idx)
%BUILD_SPECTRAL_JACOBIAN Compute spectral Jacobians and pathlengths.
% SJ = BUILD_SPECTRAL_JACOBIAN(nirs_model, epsilon_mm_uM, brain_nodes_idx)
%
% Output struct SJ
% .J_chrom : (2*nCh)×(2*nV) chromophore Jacobian
% .J... |
1f3105f36f87800d5b3ca8ed45085e336babe8fa7fba98ba6b138ad8031765e2 | MATLAB | 1,025 | 26 | function ClincFreq_Norm2MNI_CT_clinc(indat,inroi,outdir,outname,voxelsize,pth)
%% Need to rebuild
[patdat,namdat,extdat] = fileparts(indat);
% [patroi,namroi,extroi] = fileparts(inroi);
load([pth,filesep,'norm2ct.mat']);
% load([pth,filesep,'Norm2CT_est.mat']);
pathspm = which('spm.m');
[patspm,namspm,extspm] = filepa... |
514fdc285064ef6efbb73f8ee9dbaafc58bc9c6b453fa2419436ded53107cc7d | MATLAB | 1,025 | 38 | %% scatterSpheres - plot scattered points
%
% Andreas Husch
% Centre Hospitalier de Luxembourg, Dep. of Neurosurgery /
% University of Luxembourg - Luxembourg Centre for Systems Biomedicine
% 2014 - 2017
% mail@andreashusch.de, husch.andreas@chl.lu
function h = scatterMatrix3(pointcloud, options, varargin)
fixedA... |
fec5356a6c2d5bf8f40aeeb68f4faf90569481814299d27a1bb4b45f5ecae887 | MATLAB | 1,025 | 33 | function [List,ListSize,ListDate] = LeG_findSubFiles(RootDir,SearchStr)
% Searching RootDir
% h = waitbar(0,'Searching...');
a = cell2mat(cellfun(@genpath,{RootDir},'uniformoutput',false));
if regexpi(computer,'win')
b = regexp(a,';','split');
else
b = regexp(a,':','split');
end
List = {};
ListSize ... |
162d25138f6b725f29d0eb5df0cf65b70f5230f7355dbf7feb8331a00ff3777e | MATLAB | 1,026 | 34 |
% this function creates the weight matrix for making edge weights
% and saves some other constants (like node-in-lattice index) to a 'frame'
% used when the graphs are made from saliency/feature maps.
%
% edge types (by default, instantiate fully connected graph.
% use inter/intra-type = 1 to connect only to neares... |
9a002dd825823323b03bd9aa2b5ec1b30ed2f23f429f358702c48c5301ecb59f | MATLAB | 1,026 | 33 | function [vals,p_vals] = ea_discfibers_TwoSample_weightedLinearRegression(activ_prob, outcome, output_stat)
% by Till Dembek, publication TBA
% Warning: this metric takes time to be calculated
outcome_over_fibers = repmat(outcome,[1,size(activ_prob,2)]);
vals = zeros(size(activ_prob,2),1);
p_vals = zeros(size... |
e6cc27ae97f74695daa86a057ceab3e108a41e2345131647f9cfc3e66cc4189d | MATLAB | 1,026 | 31 |
folderpathP = strcat(writeFolder,'/');
mainfolder = strcat('/home/yh19218/Code_IF_2020/Results/Results_Main_new/',foldername);
folderpathP1 = string([mainfolder '/1_PhaseConn']);
folderpathP2 = string([mainfolder '/2_PowerConn']);
folderpathP3 = string([mainfolder '/3_PhaseCoup']);
folderpathP4 = string([mainfolder '/... |
4e7b6289ec0e000d3ad3069ec1839d269eb3dd8875290338c793199e3215c87c | MATLAB | 1,027 | 22 | function [phi_new] = wave_eq_2D(phi,input,gamma)
%WAVE_EQ Simulate the wave equation of model using finite difference scheme
% Wave equation can be written as:
% phi_n
% + (2/gamma)*(phi_(n+1)-phi_(n-1))/(2*dt)
% + (1/gamma^2)*(phi_(n+1)+phi_(n-1)-2*phi_n)/(dt^2)
% = input = r^2*Lapl... |
5fad4f1fcf899357cccc61dfded5748a1d1236702627073213088302aa3f9723 | MATLAB | 1,028 | 47 | function callbackexample()
% Copyright 2009-2013 The MathWorks, Inc.
% Create application data
colorNames = {
'Red'
'Orange'
'Yellow'
'Green'
'Blue'
'Indigo'
'Violet'
};
colorValues = [
1.0 0.2 0.2
1.0 0.6 0.2
1.0 1.0 0.4
0.6 1.0 0.6
0.2 0.4 1.0
0.4 0.1 0.6
... |
f23cfb5e465913b8b67dbca8c30c04cda74cf3bf68ac3d5a985e74db8953a8fc | MATLAB | 1,028 | 51 |
function [samples] = mf_sample(mu)
kappa = eps+sqrt(sum(mu.^2));
mu = mu./ repmat(kappa,[size(mu,1) 1]);
kappa = kappa(:)';
kappa(kappa>200) = 200;
d = size(mu,1);
n = size(mu,2);
iso = kappa < (d-1)/2;
kappa(iso) = (d-1)/2;
b = (d-1)./( 2*kappa + sqrt((4*kappa.^2 - (d-1)^2)));
x0 = (1 - b)./(1 + b);
c = kap... |
6b3bfd71199f8d401d74939b9fb14a08bb4951786d51ea40d213052d29edf37e | MATLAB | 1,029 | 19 | % -------------------------------------------------------------------------
% SUBFUNCTION which selects the appropriate artifact detection method based
% on the selected config options
% -------------------------------------------------------------------------
function [ autoart ] = artifact_detect(cfgT, data_in)
... |
decda437809d5b5a4dacc33bbd36e9d421196b0d1d1750071e714c143c436823 | MATLAB | 1,029 | 39 | function [widths,lefts,rights] = halfheightWidths(alldata,frames,dataname)
% Half-height widths
widths = []; lefts = []; rights = [];
for f = frames
for d = 1:length(alldata)
% Left side
data = alldata(d).gaussianfluor(f,1:8);
% First, shift so peak falls at column 4
[m,i... |
e3177204c8a3dfcd04982dc856f04e3419873160edfada6246229b70609eacf2 | MATLAB | 1,031 | 28 | % warndlg2() - same as warndlg for eeglab()
%
% Author: Arnaud Delorme, CNL / Salk Institute, 12 August 2002
%
% See also: inputdlg2(), questdlg2()
% Copyright (C) Arnaud Delorme, CNL / Salk Institute, arno@salk.edu
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GN... |
512293b70255b81466f26bd26f83ff4e4bfd0493fe85d657aa99d613d6d97f06 | MATLAB | 1,032 | 29 | function X = calculate_X(Tlist,hyper_params)
% Calculate covariate bases at the time of presynaptic spike.
%
% INPUT
% Tlist = pre (Tlist{1}) and post (Tlist{2}) synaptic spike times (s)
% hyper_params.XTimeSpan = number of seconds with which to divide session
%
% OUTPUT
% X = covariate matrix in basis space (rows = ... |
762f94c078f64f111b92a5686e0c4153c0a4509bb2bf064046db4496269b81b1 | MATLAB | 1,032 | 33 | function [xx_s,xx_f,yy_s,yy_f,zz_s,zz_f,xx_us,xx_uf,yy_us,yy_uf,zz_us,zz_uf] = construct_grid(grid_size,mot_uf,d1,d2,d3,min_patch_size)
xx_s = 1:grid_size(1):d1;
yy_s = 1:grid_size(2):d2;
zz_s = 1:grid_size(3):d3;
xx_f = [xx_s(2:end)-1,d1];
yy_f = [yy_s(2:end)-1,d2];
zz_f = [zz_s(2:end)-1,d3];
if xx_f(end)-xx_s(end)... |
b6a2a85c0a8d8572cd07fb796a215e926db3156a9871b7eba9ae499b5a43bf20 | MATLAB | 1,032 | 43 | function [vals inds] = minMag(x,dim)
% utility to find value closest to zero
% function vals = minMag(x,[dim])
% eln 101104
if isempty(x)
vals = []; inds = [];
return;
end
if exist('dim','var')
[~,inds] = min(abs(x),[],dim);
if isvector(inds)
siz = size(x); siz2 = siz; siz2(dim) = [];
inds2 =... |
702a84f6b22bd3e6312eba03d4a8549cc788b73b7442c13db5b4092fdd1a5b09 | MATLAB | 1,033 | 31 | function movF = MovGaussFilter(mov, G, subsample)
% filtered
% G = fspecial('gaussian',[4 4],2);
datatype = class(mov);
if strcmp(datatype, 'uint8')
if subsample == 0
movF = zeros(size(mov), 'uint8');
for f=1:size(mov,3)
movF(:,:,f) = uint8(imfilter(mov(:,:,f),G,'same'));
end
... |
9678204046c0b895ddb7eba426f8fe68759f6b8ad5cb01bdfd4c88e082577ded | MATLAB | 1,033 | 35 | %% Joint Entropy Demo 1
% This demo goes through calculating the joint entropy for 3 discrete time
% series.
% Data Type: Discrete
% Number of Variables: 3
% Information Analysis: Joint Entropy
% Trial Based or Single Trial: Single Trial
% Significance Testing: N/A
% Delays: Off
% Generate the data
nData = 100;
data... |
df4f2c1c750ee2ca40aaef7a72bf127ce2e4a16d3df0d7a0000ebb10abf9613d | MATLAB | 1,033 | 37 | function plotsig(C,sig,t,f,c)
% Function to plot C where it is higher than a threshold sig
% useful for plotting coherence
% Usage: plotsig(C,sig,t,f)
% Inputs:
% C: input array t x f - also works for a single vector
% sig: significance level
% t: t axis grid for plot
% f: f axis grid for plot.
% c: color to use (defau... |
9565ea8f6747657c84ede81a02dfb554fcfa855d85ca9e1edaded586e35a03fd | MATLAB | 1,034 | 44 | function formatsvnrevision(v1, v2)
disp('Getting revision information...');
system(sprintf('svn log --verbose -r%d:%d > tmprev.txt', v1, v2));
oldpwd = pwd;
newpwd = fileparts(which('eeglab.m'));
cd(newpwd);
fid = fopen('tmprev.txt', 'r');
state = 1;
while ~feof(fid)
txt = fgetl(fid);
if length(txt) > 4 && ... |
d3368a3b600d6579e15324f8840ca01a51edac12b331edb0a0078cdd730fe2f8 | MATLAB | 1,034 | 22 | function tifFileList = FISSAoutput2tifFileList(FISSAoutput,tifFileList,fissaScaleFactor)
tifListFields = fieldnames(tifFileList);
for k = 1:length(tifListFields)
if ~isempty(tifFileList.(tifListFields{k}))
%get first row from each trial in FISSAoutput for each cell
%first row corresponds to... |
0da351eed3512327d5a2eba4087593ebbf80416bf64a1fad38f6321f92166292 | MATLAB | 1,035 | 35 | function varargout = size( x, dim )
% Disciplined convex/geometric programming information for SIZE:
% SIZE imposes no convexity restrictions on its first argument.
% The second argument, if supplied, must be a positive integer.
s = x.size_;
if nargin > 1,
if nargout > 1,
error( 'Too many ou... |
47d63026b4846e202d17a7b26884d0794eaf908033c0d8500f716d2304819ded | MATLAB | 1,035 | 33 | function rid_time_score = CBIG_compute_time(q, q_full)
% rid_time_score = CBIG_compute_time(q, q_full)
%
% Written by CBIG under MIT license: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md
ridList_q_full = cell2mat(q_full(:, 1));
ind_sc_bl = ismember(q_full(:, 2), 'sc');
if sum(ind_sc_bl) == 0 % bl conv... |
b260cf4feb78c1c2309fb1614eebc2094175d570241d8d69dce16c203ed0e97a | MATLAB | 1,035 | 29 | function cvx_optval = log_prod( X, dim )
%LOG_PROD Logarithm of the product of a vector.
% For a vector X, LOG_PROD(X) returns
% LOG(PROD(X))
% if all of the elements of X are positive, and -Inf otherwise. Note that
% LOG(PROD(X)) = SUM(LOG(X)),
% so this is simply a synonym for SUM_LOG(X).
%
% F... |
008f659891e76f728ebc368be0c88daef607b9281886385b0f1a55dc19519ae2 | MATLAB | 1,036 | 30 | function ea_Cmap(varargin)
% creates a map both connected and correlated ("combined" map in Horn
% 2017 AoN).
% ea_Cmap(fis,regressor,outputname,mask,sk,corrtype) % sk can be 'k','s','sk'
% for smoothing and normalization options. Mask only necessary if
% choosing 'k' option.
regressor=... |
0ac37d41ead9b4f15e0957dd9a9eac6f1294b61cb6af30e92d61b76531b5002f | MATLAB | 1,037 | 44 | %minmax - Show min and max values for any number of variables.
%
% USAGE
%
% minmax(x,y,...)
%
% x,y,... variables
%
% Copyright (C) 2012 by Michaël Zugaro
%
% 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... |
e14b8e2ffaa6dc1487be7b6f590e2d9598ca0bcd0d131e86e753dd796cb30df8 | MATLAB | 1,037 | 24 | function [extrema,inds] = minmax(X)
%MINMAX Simultaneous overall smallest and largest components.
% Y = MINMAX(X) returns the minimum and maximum values, of the array X
% such that Y(1) = MIN(X) and Y(2) = MAX(X). For N-D arrays X,
% MINMAX(X) is equivalent to MINMAX(X(:)).
%
% [Y,I] = MINMAX(X) als... |
e2320bbe78f0759809be522cfa5d5cffc976058c07653ca4e349a7773a641cb3 | MATLAB | 1,037 | 28 | % Example 8.7: Floorplan generation test script
% Section 8.8.1/2, Boyd & Vandenberghe "Convex Optimization"
% Joelle Skaf 12/04/05
%
% Rectangles aligned with the axes need to be place in the smallest
% possible bounding box. No overlap is allowed. Each rectangle to be placed
% can be reconfigured, within some limits.... |
24594866521453c03ad3d92fa9124ed0efb4f5aeafce498f0368b5b96d79bcab | MATLAB | 1,038 | 25 | function [bgCorrected] = backgroundSubtract(ROInames,fluordata)
% First, run combineFluordata() if necessary. This function assumes that
% in the data it is working on, the second ROI is the background. It also
% assumes that the data are raw values and NOT dF/F. dF/F is not useful
% here, because background with o... |
86dcf2cc51cfc4951e7464c72ce964b83907c429ac17e131107b5581f0285eff | MATLAB | 1,038 | 36 | function tf = cvx_use_sparse( sz, nz, isr )
%CVX_USE_SPARSE Sparse/dense matrix efficiency test.
% CVX_USE_SPARSE(SZ,NZ,ISR) is an internal function used by CVX to determine
% if a matrix of size SZ with NZ nonzeros would require less memory to store
% in sparse form or dense form. The matrix is assumed... |
96fffd0c82f249ab79c1aad4b4d0a356e6173d083e7d32463b7acbec112e3c89 | MATLAB | 1,038 | 30 | function CFA_ReOrient_Single(Imagedir,ROIdir)
coivox = ones(4,1); %center of intensity
% hdr = spm_vol([Imagedir,',1']); %load header
% img = spm_read_vols(hdr); %load image data
[hdr,imgr] = Dynamic_read_dir_NIFTI(Imagedir);
img = reshape(imgr,hdr.dim);
img = img - min(img(:));
img(isnan(img)) = 0;
sumTotal = sum(img... |
9ff1ff4528a47b5e649ee55df0701c978a26bde4ce7a1465763208e6b7bc9e62 | MATLAB | 1,038 | 26 | % Model the success probability of successive trials of a monkey
% performing a task.
%
% The 'y' variable is a vector of 0/1, with 1 denoting success on
% the trial; 0 failure. The fitting procedure uses logistic
% regression within sliding windows (specified by the 'family','binomial'
% arguments).
%
% Choosi... |
cd01b4300a7a2addb7eceb5e1f1bfb4a5d650b7f6e032eb636dac572628653a1 | MATLAB | 1,038 | 46 | function BaslerTrackPerFrame(movname)
%
% tspdata=load([fbasename '.tsp']);
% tspdata = tspdata(:,1);
%
% if size(tspdata,2)>1
% warning('tsp has data in it! Are You sure you want to continue?')
% % keyboard
% end
%
% nFramesTsp = size(tspdata,1);
% tspnew = [tspdata -1*ones(size(tspdata,1),6)];
... |
176bb2792591fe1a90885399577ed451f33fac10aaab83382679a77d0d558b4c | MATLAB | 1,039 | 44 | function [ xR, x ] = cvx_bcompress( x, mode, num_sorted )
narginchk(1,3);
if nargin < 3 || isempty( num_sorted ),
num_sorted = 0;
end
if nargin < 2 || isempty( mode ),
mode = 0;
else
switch mode,
case 'full', mode = 0;
case 'magnitude', mode = 1;
case 'none', mode = 2;
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.