sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
9a1a623016e05f29f9d5bc8c3e35f9a1bddce3009a5296145e0315661fd7b2c8 | MATLAB | 1,080 | 26 | %% FindResponsiveCell
% Go though all neurons and find the responsive cells
% Prerequisite
% - All Session files must gone through AlignEvent.m script and have aligned data
basepath = 'F:\LobsterData';
filelist = dir(basepath);
workingfile = regexp({filelist.name},'^#\S*','match');
workingfile = workingfile(~cellfu... |
d0a4f08f505bf593aa96ff05b67bbefd525868ee87a926a631a8eff47f39e174 | MATLAB | 1,080 | 61 | function [CnoHelp] = SkipMatlabHelp (C)
%
% [CnoHelp] = SkipMatlabHelp (C)
%
%Purpose:
% removes the first set of comments from a character array
% that would normally consiture matlab's help text (see example)
%
%
%Input Parameters:
% C : a character array
%
%
%Output Parameters:
% CnoHelp : C without the he... |
40573137e6bded5141ad7f76d9e392d757fc6bc6e795b8174619273e9073b869 | MATLAB | 1,081 | 37 | function [smf_data,mu,siginv] = smf_detector_array(hsi_data,tgt_sig,mu,siginv)
%
%function [smf_data,mu,siginv] = smf_detector_array(hsi_data,tgt_sig,mu,siginv)
%
% Spectral Matched Filter for array (not image) data
%
% inputs:
% hsi_data - n_spectra x n_band array of hyperspectral data
% tgt_sig - target signature (... |
40ecac8fdda2ed9995dc9ec30d263f9b4ba1a4ad30358bdafa12fedd729b2b84 | MATLAB | 1,083 | 37 | function this = realign(this)
% Realigns all 3D images in 4D data to each other, then to the mean
% Uses SPM's realign: estimate+rewrite functionality
%
% MrSeries = realign(MrSeries)
%
% This is a method of class MrSeries.
%
% IN
% MrImage.data
% MrImage.parameters.realign.quality
%
% OUT
%
% EXAMPLE
% realign... |
61df78ffd942d4d82307d169e89e63c614447cb85bf6e1c37027e962212c0235 | MATLAB | 1,083 | 35 | function plot_sens_spec(obj)
% plot_sens_spec(obj)
%
% Barplots of sensitivity and specificity for meta_nbc object.
% You should have tested the nbc already: e.g., obj = test(obj);
nterms = length(obj.terms);
colors = {'y' 'b' 'r' 'g' [1 .5 0] [1 0 .5] [0 1 .5] [.5 1 0] [0 .5 1] [.5 0 1]};
while length(colors) < nt... |
7db8cfce49f9ac276de23ab15d20d42ca4d409324993bbd5297cf32daaee90f0 | MATLAB | 1,083 | 41 | %% Perceptually Uniform Colormaps from MatPlotLib
% The <www.mathworks.com/matlabcentral/fileexchange/62729
% MatPlotLib Perceptually Uniform Colormaps> submission includes the
% default colormap family and default line colororder family from
% MatPlotLib 2 and 3. This document shows examples of their usage.
%% Overvie... |
8fb2bd8e5ec42b20e7b18a53dcf2df34eea442f3856116d1408da4cb117e4f9f | MATLAB | 1,083 | 38 | function []=CoeffofVariationofConcentration(op,file,model,ds,M,S0,U)
% Load Data and scale from SI units to desired ones
scaleC=convertFromSIunit(U);
C=load(file);
Y=C.Data.*scaleC;
COV=zeros(16,6);
% Get Measuring Points at each radius 0.5, 1, 2,5, 10 um
radius=[0.2,0.5,1,2,3,5... |
771fe9565ce0b93d25548ce9d45a33e8c0cfbc601e59dae6d0a306185bd2eb11 | MATLAB | 1,084 | 25 | function [verbose] = tapas_physio_plot_get_cardiac_phase(scannert,cardiac_phase, pulset, ...
svolpulse, verbose)
% 1. plot chosen slice start event
% 2. plot chosen c_sample phase on top of chosen slice scan start, (as a stem
% and line of phases)
% 3. plot all detected cardiac r-wave peaks
% 4... |
a3e1a571ba7c79511fa4b210c4bf7daf9441c115e90a8174b3da6f02e4b704ad | MATLAB | 1,084 | 54 | % Expects hh and ii (sorted unique indices) to be defined.
% Creates <somedata> in the workspace.
iimax = max(ii);
somedata = [];
end0 = -Inf;
tic;
for iii=1:length(ii)
if ii(iii) <= end0
continue;
end
start0 = ii(iii);
end0 = min(ii(iii)+100,iimax);
while any(ismember(end0+1:end0+100,ii))
end0 = m... |
6e758c83b2d828567cb6fdc05c2f31bc8307979ec87e0739d98055bf5e31cd63 | MATLAB | 1,085 | 35 | function verbose = tapas_physio_close_figs(verbose)
% Close figures given argument 'verbose' with a list of figure handles
%
% verbose = tapas_physio_close_figs(verbose)
%
% IN
% verbose.fig_handles
%
% OUT
%
% EXAMPLE
% verbose = tapas_physio_close_figs(verbose)
%
% Author: Lars Kasper, Stephan Heunis
%
% Create... |
93e1c9ace4113f1f36d8fea5b1fc6d9af6673d68865780c8586098212831533d | MATLAB | 1,085 | 42 | function analysis_surfacevoxels(subjix)
% function analysis_surfacevoxels(subjix)
%
% <subjix> is 1-8
%
% Save .mgz files with surface voxels at 1, 2, and 3 mm resolution
% onto each of the following surfaces: white, pial, layerB1-B3.
% define
hemis = {'lh' 'rh'};
surfs = {'white' 'pial' 'layerB1' 'layerB2' 'layerB3'... |
d828f919f2e6a76a68d47e7b301d61d50b2a0abeb1f7a28e193a7c19d9406df7 | MATLAB | 1,085 | 46 | function [y] = filtfast(x,dim,i,ftype,fsize)
%[y] = filtfast(x,dim,i,ftype,fsize)
if nargin < 5
error('Missing input arguments!');
end
if dim > ndims(x)
error('Filter dimension exceeds input dimensionality!');
end
if isempty(i)
i = 1:size(x,dim);
end
fungaussian = @(x,m,s)exp(-0.5*((x-m)./s... |
28473a9f5c75c48dfb69906ba64a6b14dc50a7b5f3171f3f6a457eb7ff1bb057 | MATLAB | 1,086 | 53 | function [LZComplexity] = compute_LZC(sequence)
% Computes the Lempel Ziv complexity of a symbolic sequence
%
% Input:
% - sequence: array with a symbolic sequence
%
% Output:
% - LZComplexity: Lempel-Ziv complexity of the symbolic
% sequence
%
%%%%%%%%%%%... |
4e3faf3d8694c1f071bcbae126f2fd9971bd807123cc6252057571f701f8f742 | MATLAB | 1,086 | 36 | function [node,elem,face]=s2m(v,f,keepratio,maxvol,method,regions,holes)
%
% [node,elem,face]=s2m(v,f,keepratio,maxvol,method)
% [node,elem,face]=s2m(v,f,keepratio,maxvol,'tetgen',regions,holes)
%
% volumetric mesh generation from a closed surface, shortcut for surf2mesh
%
% author: Qianqian Fang (fangq <at> nmr.mgh.ha... |
528821090e8fee005d8887315b4bd7eba0e3908510b384ed4186ce34b604d91d | MATLAB | 1,087 | 27 | %{
# all slices of each stack after corrections.
-> stack.StitchingVolume
---
x : float # (px) center of volume in a volume-wise coordinate system
y : float # (px) center of volume in a volume-wise coordinate system
z ... |
553b6d6c3deab734dcae6c827515641fd595b3b9e4fa30d55beef87c14fb1f0d | MATLAB | 1,087 | 26 | function [pval, realrho, realpval, nullrho] = cs_pvalvsNull_spearman(data1,data2,permno,wsname)
%% This script was build based on the original script by Aaron Alexander-Bloch & Siyuan Liu, pvalvsNull.m, 2018-04-22
% written and edited by Christina Stier, 2022
% Calculate the p-value of correlation between two surface ... |
6a9f512bf3688e072e4ac50e031434febe704c3029e9b6da9d954891d213de5b | MATLAB | 1,087 | 30 | function [verbose] = tapas_physio_plot_create_hrv_regressors(sample_points, hrOut,...
hr, t, crf, convHRV, delays,samplePointsOut, convHRVOut, verbose)
%UNTITLED2 Summary of this function goes here
% Detailed explanation goes here
verbose.fig_handles(end+1) = tapas_physio_get_default_fig_params();
set(g... |
6ccd4f82c12597e907fd6f7839d25fb399162f494bb4ce153af6f73f5a5bf2cb | MATLAB | 1,087 | 37 | function this = analyze_rois(this, maskArray, keepExistingRois)
% Extracts roi data for given (cell of) masks and compute its statistics
%
% Y = MrImage()
% Y.analyze_rois(inputs)
%
% This is a method of class MrImage.
%
% IN
% maskArray (cell array of) binary MrImage
% keepExistingRois if true, ne... |
1ac948d11e3a4849c0b34a4bf7bc2b99fea1f0c9526e615ea8ed3e9af00f2dad | MATLAB | 1,088 | 40 | % http://matlaboratory.blogspot.co.uk/2015/04/introduction-to-psychometric-curves-and.html
function [coeffs, stats, curve, threshold] = ...
FitPsycheCurveLogit(xAxis, yData, weights, targets)
% Transpose if necessary
if size(xAxis,1)<size(xAxis,2)
xAxis=xAxis';
end
if size(yData,1)<size(yData,2)
... |
90d502ca347da39bcc73b05f0c23e1cc45ecf1780e6ad1594f4787cde8ee23b1 | MATLAB | 1,089 | 36 | % listStandardBasisFunctionNames.m
% Georg Oeltzschner, Johns Hopkins University 2022
%
% USAGE:
% allMets = listStandardBasisFunctionNames
%
% DESCRIPTION:
% This function returns a cell array of standard metabolite and
% macromolecular basis function names. It will look up the list of VALID
% names via 'listValidBasi... |
94cfe8f52af38793ff1d5feb6057d6646a70b9cab8decaba4c609d55620e2264 | MATLAB | 1,090 | 44 | function [high, low, high_err, low_err, T] = hilo_one_event(bstruct, ...
pstruct, thirdrew_arg, event)
%%plot response aligned to event in high versus low blocks
%%input:
%ratlist = which rats to run through on at a time
%pstruct = aligned photometry data by rat
%bstruct = aligned behavioral data by rat
sem = @(xx... |
1a1dce027fe7b0cdf91035a4a3911eb1dcbf568f5aaf0239d79d1afd4d0d7771 | MATLAB | 1,091 | 49 | classdef MrPlots < MrCopyData
%Abstract class to create fancy plots from multiple other class objects
% (e.g. boxplots of rois)
%
%
% EXAMPLE
% MrPlots
%
% See also
% Author: Saskia Klein & Lars Kasper
% Created: 2014-07-01
% Copyright (C) 2014 Institute for Biomedical Engineering
% Universit... |
308e1f0b6fa0cb54e96217d3da375420737a22a8d16a49e9879846a8088cb9af | MATLAB | 1,091 | 36 | function w = tapas_physio_gausswin(L, a)
% vector of discrete Gaussian window
%
% w = tapas_physio_gausswin(L, a)
%
% IN
% L number of sampling points of gaussian window
% a alpha parameter: 1/std of gaussian, measures width of
% fourier transform of gausswin
% Th... |
b8822be4571bd36a4a396c67887dcc0ebff745dd8adb0ddde8a3c2afa31ee0eb | MATLAB | 1,091 | 39 | function [R,D] = breadthdist(CIJ)
%BREADTHDIST Reachability and distance matrices
%
% [R,D] = breadthdist(CIJ);
%
% The binary reachability matrix describes reachability between all pairs
% of nodes. An entry (u,v)=1 means that there exists a path from node u
% to node v; alternatively (u,v)=0.
%
... |
e39f3dd803048f1fab60dddd70ce589a49848bc7f2372a39e69c2c0d02f239cc | MATLAB | 1,091 | 43 | function [all_SU,all_S,all_index] = reduce_index(index,S, SU, goods)
% reduces the size of the SU struct to only include a subset of cells.
all_SU = {};
all_S = {};
%all_pt = {};
%all_behEvents = {};
all_index = [];
for i = 1:length(goods)
S_goods(i) = index{goods(i),4};
end
these= unique(S_goods);
Snum = 1;
count... |
10e43151a39bbf2d07d59ed591591b3dd38cab16e6a90555a8ebd58ea46ac3ab | MATLAB | 1,092 | 53 | clear,clc
fn_seq = 'SERO_example_sequence.seq';
% Basic settings
dz = 1.75e-3;
nPos = 50;
ar = 4;
% Hardware limits
lims = sero_pulseq_sysLims_prisma();
% Sequence options
opt = sero_pulseq_SERO_opt();
opt.bMax = 1.4e9;
opt.nShot = 1000;
opt.TE = 70e-3;
opt.Nx = 120;
opt.Ny = 120;
opt.FOV = opt.... |
34b7d6884ecfc0faf5b250e95188a09f8913941f9828942cb0c24906391e0106 | MATLAB | 1,092 | 35 | function test_permuanova1
%TEST_PERMUANOVA1 Unit tests for permuanova1.m.
% © 2018-2023 Mick Crosse <crossemj@tcd.ie>
% CNL, Albert Einstein College of Medicine, NY.
% TCBE, Trinity College Dublin, Ireland.
% Generate test data
rng(42);
x = randn(30,5);
group = 1:5;
% Perform one-way ANOVA
[p1,Table1,stats1] ... |
9389ea642c7e47628c6cfb418740927eee183b6d100c2c730a2bcf7bf3783572 | MATLAB | 1,092 | 36 | %{
vis.MovieClip (lookup) # clips from movies
-> vis.Movie
clip_number : int # clip index
---
file_name : varchar(255) # full file name
clip : longblob #
%}
classdef MovieClip < dj.Relvar
methods
... |
ba75498ffa4b8e86f23fba0428a11dbb8c2748dae6b17f2a5baace150614683a | MATLAB | 1,092 | 31 | % load all sessions in spread sheet
session_name = []; % either provide a .isxd file name, or leave blank to read from excel file
crop_x_offset = 100; % in pixels, from the left of the raw image
crop_y_offset = 100; % in pixels, from the top of the raw image
dcrop = 600; % image size after cropping and before down... |
3e426119484a9438a434b5810e170e03a444c17edb9f4a2ce032b2cb423f7b42 | MATLAB | 1,093 | 39 | %% get_set_qsm_myQSM(h,mode,input)
%
% Input
% --------------
% h : structure contains all handles of SEPIA
% mode : 'set' - extract information from GUI to config file
% 'get' - extract information from config file to GUI
% input : if mode is 'set' then input should be fid
... |
dc3d55823ff2e3ec5a41b6a4660bb0700f095f8346fc2aaed382250ab007821a | MATLAB | 1,093 | 37 | function yOut = getBinCenters(y, doLinear)
% returns centers of the bin boundaries 'y'
% if doLinear = true, then it finds the first and last bin center values
% 'yOut' based on linear extrapolation of the inner bins
% (c) Jiri, Jan12, Jan13
if nargin < 2
doLinear = false;
end
yC = nan(1,length(y)-1);
for n = 1:... |
41251d0f0980efc2bc1b3254ae4145951e16179ab26899c828a539ee4527a23d | MATLAB | 1,094 | 56 | function BC = createBC2D(meshvar)
% function BC = createBC2D(meshvar)
% Creates a boundary condition structure from a mesh structure
% for a 2D mesh. The boundary conditions on all boundaries are Neumann;
% The index of each boundary condition is defined as:
% 1: Dirichlet
% 2: Neumann
% 3: Mixed
%
% SYNOPSIS:
%
%
% PA... |
4f5c64fa8f3366e0a391784be3cdff69691529b419dc80642d4caece4f1ec50e | MATLAB | 1,094 | 23 | function writeTransformixToElastixFile (inputFileName, zSpacing, labelFileName)
if (~isdeployed)
addpath ('../cellCounting/');
else
zSpacing = str2double(zSpacing);
end
elastixScalingFactor = [0.05 0.05 1];
visualizationSpacingFactor = [1 1 zSpacing] * 1e-3; %millimeter units in mha
fp = fopen (inputFileName... |
5cf9d17dfc9f99f3db00f3da762c6a7fe9293dbb63e6fc62be6fb6ddad688f86 | MATLAB | 1,094 | 30 | function [activationPattern] = transform_toActivationPattern(X,beta)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Transform weights derived from linear models to activation patterns using
% algorithm shown by Haufe et.al., 2014.
%
% Arguments:
% X: Feature matrix (sample x featu... |
7d511e1e101459a4c45d70532ed3455870174127a7191010d8d2742363047181 | MATLAB | 1,094 | 39 | function [results] = analysis01A(config)
% Runs analysis01A: Evolving populations of reservoirs by selecting for
% minimum prediction loss, or maximum psi to examine the relationship
% between emergence and prediction performance.
% set a unique random number generator seed!
rng(config.seed)
% turn struct input into... |
acb2f2fb064f589b44a1fee79f46f076041eec14396d588452c13b8a0110568e | MATLAB | 1,094 | 31 | % Demo simulation
clear all; close all; clc;
%%Randomly generated parameters
% tsteps = 1800; %4 per day, 7 days for 40 weeks = 1120
tsteps = 300;
Pm = rand(); %Between 0 and 1
Pp = rand()*0.015; %Between 0 and 0.015
bv_str = 1-sqrt(rand()); %Between 0 and 1
wm_str = (1-bv_str)*... |
711486289690d016cc93da449c8b39358a253148cf587cf085a8d037404d35b1 | MATLAB | 1,095 | 69 | function [S, D, T, V] = sero_srr_generate_structure(z, iters)
%generate line phantom
if nargin < 1
z = 50;
iters = 1;
end
S = zeros(z,iters);
D = zeros(z,iters);
V = zeros(z,iters);
T = zeros(z,iters);
n_obj = randi(7,[iters,1])+3;
for i = 1:iters
w = zeros(z, n_obj(i));
p = randi(z, [n_obj(i)... |
246c816dacf55e9122a477f6ffd2c4d83d5823b4f282b904e7a1707e120ab1d2 | MATLAB | 1,096 | 36 | function namesPhysContrasts = tapas_physio_get_contrast_names_default()
% Returns cell of defaults names for phys contrasts used e.g. in reporting
%
% namesPhysContrasts = tapas_physio_get_contrast_names_default()
%
% IN
%
% OUT
%
% EXAMPLE
% tapas_physio_get_contrast_names_default
%
% See also tapas_physio_repor... |
26614743846db3b4a44ee25bf631f5123ca8d72b2d14a11cb1cbac9e487f044d | MATLAB | 1,096 | 39 | function iLastDimension = ndims(this)
% Returns Number of last non-singleton data dimension of image
%
% NOTE: For a [nX,nY,1,nVolumes], this would return 4, and is thus
% different from Matlab ndims
%
% Y = MrImage()
% iLastDimension = Y.ndims()
%
% This is a method of class MrImage.
%
% IN
%
% OUT
%
% EXAMPLE
% ... |
d4e8a7594948e025e3a248d074e310c0b64af3b5944beebc58841a7cff7f71dd | MATLAB | 1,096 | 31 | function output = decode(kinematics, neurons, tBins, ROIs, kinematicField, neuralField)
% Fit instantaneous regression
% Format kinematics
outcomes = kinematics([kinematics.locked]);
% Subselect to desired time period
for tr = 1:length(outcomes)
outcomes(tr).data = cat(2, outcomes(tr).(kinematicField)(tBins, :));
... |
0323aa0d3c9a0647ae7d7ede856ee43304a8776a1859439ae6bcef2f0e59fe59 | MATLAB | 1,097 | 50 | function [ptheta] = tapas_sem_prepare_gaussian_ptheta(ptheta)
%% Precomputes things that might be needed afterwards.
%
% Input
%
% Output
%
% aponteeduardo@gmail.com
% copyright (C) 2016
%
np = ptheta.ndims;
dtheta = size(ptheta.jm, 1)/np;
LN2PI = log(2 * pi);
njm = tapas_zeromat(ptheta.jm);
% Comput... |
46dcb13a3d62381e13d809d23bda2046d633f875d40584344ad8cbb169bb0a9b | MATLAB | 1,097 | 28 | function pstruct = tapas_ehgf_binary_pu_tbt_namep(pvec)
% --------------------------------------------------------------------------------------------------
% Copyright (C) 2024 Anna Yurova, Irene Sophia Plank, LMU University Hospital;
% ehgf adaptation based on the function tapas_hgf_binary_pu_tbt_namep by Rebecca La... |
067c5844e56ec159d63c9cc2ad83a7116e240782bc2bfc8154d46126beeceae2 | MATLAB | 1,098 | 30 | function pathName = tapas_physio_simplify_path(pathName)
% Simplifies path name string by replacing all relative paths in it, i.e. ..\, .\
% NEW version, used Matlab's dir functionality
% pathName = tapas_uniqc_simplify_path(pathName)
%
% IN
% pathName string with relative path symbols, e.g.
% 'C:\b... |
48c382d1f7a7bc98527328e35e27cf7530ba889f2e2cdb340053d6b44343fbfe | MATLAB | 1,098 | 43 | function GetRotateLabel(SphereSurf, Label, OutFile)
L_SpSurf=gifti(SphereSurf{1});
R_SpSurf=gifti(SphereSurf{2});
NumV=size(L_SpSurf.vertices, 1);
P=zeros(12, 1);
%P(7:9)=1;
P(4:6, 1)=2*pi*rand(3, 1);
LM=spm_matrix(P, 'R');
P(4:6, 1)=2*pi*rand(3, 1);
RM=spm_matrix(P, 'R');
LOldCoord=L_SpSurf.vertices;
ROldCoord=R_SpS... |
8bde4324cb97cfc8052412faae8c44d23992780509c27cc2a6cc19017cedfda5 | MATLAB | 1,098 | 36 | function format = auto(object)
switch class(object)
case 'nifti'
format = brca.format.nifti();
case 'char'
% get extension (and remove leading period)
[~,~,ext] = fileparts(object);
ext = ext(2:end);
% build list of extensions that work ... |
ac67959addd6afb374d3a8968d8fb6060e499617e9eee296a7505d39d84b4c7c | MATLAB | 1,098 | 30 | %% addon_config
%
% Description: Addon script to incorporate new method to the SEPIA framework
%
% Kwok-shing Chan @ DCCN
% k.chan@donders.ru.nl
% Date created: 12 June 2021
% Date modified:
%
% DO NOT change the variable names, update the variable value instead
%
%% main
% This name will be used thorough the SEPIA f... |
bec503c900f999e98a2ce4173eefb4fe543d857252a73394b952a3b241092e48 | MATLAB | 1,098 | 35 | function pValue=pValueSynch(raster,repetitions)
rasterShuffle=raster;
x=0:1:size(raster,2);
histTotal=zeros(1,size(x,2));
for j=1:repetitions
for i=1:size(raster,2)
% This is for permutations of spike times, preserving only spike count
% threshShuffle(:,i)=datos(randperm... |
c4ffb06db11dd3248969013e36adee2fc26c7eccd83f4686f0e44612a7a65a00 | MATLAB | 1,099 | 37 | function [ntheta, ratio] = tapas_ti_propose_gaussian(otheta, ptheta, htheta)
%% Makes a new proposal using a purely Gaussian kernel.
%
% Input
% otheta -- Array with old parameters.
% ptheta -- Priors.
% htheta -- Parameters of the proposal distribution. The field
% ... |
d0959b80a00de6e5c125ea550f022e139554ee37458bff662417890771cc5163 | MATLAB | 1,099 | 27 | function change_spectogram_contrast_Callback(hObject, eventdata, handles)
clim_change = [0,0];
if ~isempty(eventdata)
switch eventdata.Source.Tag
case 'high_clim_plus'
clim_change = [0, .1];
case 'high_clim_minus'
clim_change = [0, -.1];
case 'low_clim_plus'
... |
488e22bedf45507a5c5f9b69b8bf5df86e27ca3c24efb24d07d4ccfb6111dd20 | MATLAB | 1,100 | 29 |
function [dip, p_value, xlow,xup]=HartigansDipSignifTest(xpdf,nboot)
% function [dip,p_value,xlow,xup]=HartigansDipSignifTest(xpdf,nboot)
%
% calculates Hartigan's DIP statistic and its significance for the empirical p.d.f XPDF (vector of sample values)
% This routine calls the matlab routine 'HartigansDipTest' t... |
ba76573f35aa9ae279b72c8212e9ca3e51a911eac458267663835706339592b8 | MATLAB | 1,100 | 45 | classdef DropOut < dagnn.ElementWise
properties
rate = 0.5
frozen = false
end
properties (Transient)
mask
end
methods
function outputs = forward(obj, inputs, params)
if strcmp(obj.net.mode, 'test')
outputs = inputs ;
return ;
end
if obj.frozen & ~isempty(obj... |
3da58e0aa2491b8569a864b9c5b4ac8b144d5fca48e9db64d1c530f0c3cf564e | MATLAB | 1,101 | 31 | function CI = ci_t(data,percentile)
% function CI = ci_t(data[,percentile])
%
% Returns confidence intervals for the t-distribution for normally distributed data.
%
% Formula: CI = m +/- t_crit * (std / sqrt(N))
% where m is the mean of the data sample, t_crit is the critical value of
% the t distribution, std is the s... |
58f14a4fef1bc8218a314fdc78fac0b907ac365c7f2b585ce42301c8a9a8e4d3 | MATLAB | 1,101 | 22 | %-----------------------------------------------------------------------
function TMSRealignEW (TempScan)
s={} ;
v1=spm_vol(TempScan) ;
for i = 1 : length(v1)
s{i,1} = [TempScan, ',', num2str(i)] ;
end
matlabbatch{1}.spm.spatial.realign.estwrite.data = {s} ;
matlabbatch{1}.spm.spatial.realign.estwrite.eop... |
6e6d5d06740d49ff8ff68c62a602cfd03e97e33f17f0347b55970c341aae691a | MATLAB | 1,101 | 54 | %% Colormaps that are pretty awesome: DEMO2
% In this demo we will show how to supereasily use the new colormaps
%
%
% this is an exampe of 4 colormaps that are being considered as the default
% colormap in python's matplotlib lybrary.
%
% All of them look quite good and they dont have any official name, so at
... |
93309f35243bd6525a1aba0e8e831b260d8d9591dadc4eaa8343ba65957fc1b9 | MATLAB | 1,101 | 33 | function [frAlignedToStim, rasterBins] = getFrAlignedToStim(spikeData, allStimTimes, Params)
%GETFRALIGNEDTOSTIM Summary of this function goes here
% Detailed explanation goes here
% Returns
% -------
% frAlignedToStim : matrix
% double of shape (numChannel, numTrials, numTimeBins)
numChannels = length... |
b23d76281f3698b9968e582c95a48f8d3b801d89e68ee4ba011c363f7ec5160e | MATLAB | 1,101 | 38 | function f = l1unitlength(m,dim,wantcaution)
% function f = l1unitlength(m,dim,wantcaution)
%
% <m> is a matrix
% <dim> (optional) is the dimension of interest.
% if supplied, normalize each case oriented along <dim> to have L1 unit length.
% if [] or not supplied, normalize L1 length globally.
% <wantcaution> (op... |
ff8beeb6866988df956ad607bfec45e15c8f551f044f52041bdffca91bc9ea8c | MATLAB | 1,102 | 42 | function [titl,tm,volinfo] = titlemarker(s)
%
% given cells with citation info (from citation_mca.m), gives title string
% and title marker index
%
% title must begin with (year)
volinfo = 'None.';
for i = 1:length(s)
tmp = findstr(s{i},'('); if length(tmp) > 1, tmp = tmp(1); end
tmp2 = findstr(s{i},')');if l... |
2cd5bc177c8103c9cf0e2127e5b25dbe3d7abc7b2a533ca60f29821dbbbc5be3 | MATLAB | 1,103 | 45 | classdef DropOut < dagnn_bc.ElementWise
properties
rate = 0.5
frozen = false
end
properties (Transient)
mask
end
methods
function outputs = forward(obj, inputs, params)
if strcmp(obj.net.mode, 'test')
outputs = inputs ;
return ;
end
if obj.frozen & ~isempty(... |
4e1681b1f81206d2834da957f1d6d43261017e4a8d228537fb7d3dbb97c10efa | MATLAB | 1,103 | 39 | function ox = ARFIT_adjph(x)
% ADJPH Normalization of columns of a complex matrix.
%
% Given a complex matrix X, OX=ADJPH(X) returns the complex matrix OX
% that is obtained from X by multiplying column vectors of X with
% phase factors exp(i*phi) such that the real part and the imaginary
% part of each column vect... |
5e2d8e918c4cbe64089f43ddc5a18772f9dcc4557eb2ccb477a07e5a914262fc | MATLAB | 1,103 | 45 | function vl_test_imreadjpeg
% VL_TEST_IMREADJPEG
% Test basic file reading capability
for t=1:6
files{t} = which(sprintf('office_%d.jpg', t)) ;
end
ims = vl_imreadjpeg(files) ;
% Test reading a CMYK image
ims_cmyk = vl_imreadjpeg({which('cmyk.jpg')}) ;
ims = vl_imreadjpeg(files) ;
assert(all(~cellfun(@isempty, ims... |
8a34eb28b347fc91e5c856762841e832a37284cc25b9b104106c4ff2cb8b1e22 | MATLAB | 1,105 | 24 | %% Computign core-cells for each stimulus and for full recording
load('/home/octodon/Documents/MATLAB/FastEnsDet/4exps/4_exps_6_conds_concatenated.mat')
load('/home/octodon/Documents/MATLAB/raster2Ens/Analyzing4Exp_FullRecording/v4_4_exps_ens_seq.mat')
%% raster and ensemble sequence for stimuli
ras_ind = cumsum(cat(2... |
96ce122bf0151304a4b6e8002abb318f4b5a743d29c67ef2fb94bdbb343bc956 | MATLAB | 1,105 | 34 | function offsetAxes(ax, offset)
% this function 'despines' the x- and y-axes, letting them begin at the
% first tick mark
% thanks to Pierre Morel & undocumented Matlab
% and https://stackoverflow.com/questions/38255048/separating-axes-from-plot-area-in-matlab
%
% by Anne Urai, 2016
if ~exist('ax', 'var'), ax = gca; e... |
cd1c8192405e742874658a330838b1aaab78459f2aa2e0f6676054ecb9127973 | MATLAB | 1,105 | 38 | function [modelITI, modelValue, ratTrial, modelRPE] = ...
vanillaTD_perRat(A, modeltype, alpha, scalingfactor)
% Simulate trial initiation time by block using a vanilla-alpha TD
% algorithm.
if nargin<4
scalingfactor = 0.48;
fprintf('Using default scaling factor %.2f\n', scalingfactor)
if nargin<3
... |
b1e0b31b50c6a0a9e17fade68daa89deaa74ea73450677966e9576a66714cee0 | MATLAB | 1,106 | 38 | %Support function for essential_distMinAnglePair implementing Newton's search
function [tMin,fMin]=essential_distMinAnglePair_dfNewton(m1,p1,c1,m2,p2,c2,tMin,tLow,tHigh)
tolDist=1e-8;
for i=1:100
% d=dfi(m1,p1,c1,tMin)+dfi(m2,p2,c2,tMin);
% dd=ddfi(m1,p1,c1,tMin)+ddfi(m2,p2,c2,tMin);
%The code below unrolls... |
c3c7862ba0a5788bb51ed2ab78a9cfc14ea0dbaa48bf046ed7ecd20cb3fdc4b5 | MATLAB | 1,106 | 18 | %-----------------------------------------------------------------------
% Job saved on 08-Jul-2014 10:20:34 by cfg_util (rev $Rev$)
% spm SPM - SPM12b (5672)
% cfg_basicio BasicIO - Unknown
%-----------------------------------------------------------------------
matlabbatch{1}.spm.spatial.realign.estwrite.data = {};
m... |
1021f2afc5892bd057a2a923a1570ec9d8e6d7b4012e4d2117509c8bc89b8a0f | MATLAB | 1,108 | 21 | function pval_vec = fixed_paretotails_cdf(orig_paretotails, x)
% WARNING: this function is used due to potential bug in MATLAB paretotails.
% The lowest value produced by paretotails.cdf is ~ 1E-17 (regardless whether lower or
% upper tail is taken). All lower values are truncated to 0. Directly usin... |
11112115e7f062748e759fb2929240cf1bbe05b6d2805bab31758a303a4ef068 | MATLAB | 1,108 | 40 | function [fitresult, gof] = createSpikeFitSimpleExp(tsFit, toFit)
%CREATEFIT(TSFIT,TOFIT)
% Create a fit.
%
% Data for 'untitled fit 1' fit:
% X Input : tsFit
% Y Output: toFit
% Output:
% fitresult : a fit object representing the fit.
% gof : structure with goodness-of fit info.
%
% See also FI... |
2455058a7e7f2f3b65f73b79d9d737ef727f8f53c44da71c803565576bdca95e | MATLAB | 1,108 | 31 |
%% load libraries
run('set_library_paths.m');
addpath(genpath(GBVS_PATH));
%% read in video, extract framewise activations
vid = VideoReader(video_path);
% could set this to 227^2, aka alexnet
% but since the saliency map returns a value for every pixel, that's still HUGE
% smaller could be 132^2, aka flynet
resize_p... |
32091c7d02d3ff909f375eeebe43ef99e14fb619e5825dda45fdd62acb584ba9 | MATLAB | 1,108 | 37 | function plot2axes_signif_filled(xVals, hVals, pVals)
% plots grey transparent bands of significant values
% xVals = x-axis (e.g. time)
% hVals = 0 (n.s.) or 1 (was significant)
% pVals = p-values
% (c) Jiri, Oct22
hVals = hVals(:); % column vector N x 1
pVals = pVals(:); % column vector N x 1
% xVals = trialsDa... |
b2ebed43a7ef95ac966dbb3c40615548e13469272b381c5af01f6b3ec1b4d8c8 | MATLAB | 1,108 | 49 | function cmap = fireice(m)
% FIREICE LightCyan-Cyan-Blue-Black-Red-Yellow-LightYellow Colormap
%
% FIREICE(M) Creates a colormap with M colors
%
% Inputs:
% M - (optional) an integer between 1 and 256 specifying the number
% of colors in the colormap. Default is 64.
%
% Outputs:
% C... |
c120a763456f632127dab81ab45986d250f9c9cb36cd9df0bc8b48ace2f9f90c | MATLAB | 1,108 | 56 | function [x, y] = tapas_sem_predicted_delta_plot(time, congruent, ...
incongruent, quants)
%% Plot the predicted delta plots
%
% Input
% time -- Vector of time.
% congruent -- Vector of likelihood of congruent responses
% incongruen -- Vector of likelihood of incongruent responses
%
% O... |
cafbb6a8697d720f763145941926146ec40cfd3d0447dea8bb2bf1cef3a2e17a | MATLAB | 1,108 | 41 | function [waic, lppd] = tapas_waic(llh)
%% Computes the Watanabe-Akaike Information criterion
%
% Input
% llh -- An NxS array containing the samples of the
% likelihood where N is the number of subjects and S
% the number of samples.
%
% Output
% waic ... |
d2c7bcaf505192269ffbe103a76dc5ddb4f1c8f14235d8219d322f3a0a6ea3ea | MATLAB | 1,108 | 36 | function varargout=getChamberTime(basename)
load([basename '.basicMetaData.mat']);
load([basicMetaData.Basename '.sessions.events.mat'])
load([basicMetaData.Basename '.cues.events.mat'])
%%
sesTime=sessions.timestamps;
extIdx=find(strcmpi({basicMetaData.chamber.name},'CueAndExtinction'));
FirstPip=min(cues.timestam... |
f6adf174b62047034972d7b4876edf92d70716c914b5bbf1dcb8874da80fbc4e | MATLAB | 1,108 | 61 | function [err, snl, Nlines, strt, stp] = GetNextLine (s,n)
%
% [err, snl, Nlines, strt, stp] = GetNextLine (s,n)
%
%Purpose:
% reads the nth line of a string
% lines are separated by a new line character, of course
%
%Input Parameters:
% s
%
%
%Output Parameters:
% err : 0 No Problem
% : 1 Mucho Problem... |
5994ecea62f8b8ecc37c568250b49dcd93b6b69159e070ab54ca743759fe894c | MATLAB | 1,109 | 33 | function residual = ComputeResidualGivenR2sFieldmap(te,r2s,fieldmap,s_cplx)
magn = abs(s_cplx);
phase = angle(s_cplx);
% estimated T1w signal S0
% s0 = s_cplx(:,:,:,1).*exp(r2s*te(1));
s0 = magn(:,:,:,1).*exp(r2s*te(1)); % bug fix 20220920
% compute simulated signal
shat = zeros(size(magn));
for kt=1:length(te)
... |
770cf07a5ae65354e5205ea6f7c7012002bd8ffa8a165f54bdba7e05e0a65629 | MATLAB | 1,109 | 37 | function x = gpml_randn(seed,varargin)
% Generate pseudo-random numbers in a quick and dirty way.
% The function makes sure, we obtain the same random numbers using Octave and
% Matlab for the demo scripts.
%
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch 2010-07-07.
if nargin==2
sz = varargin{1};
els... |
799d57f7a71984a54e1868232a0f9acc15b613f8e6bae96c01baf789b35bd502 | MATLAB | 1,109 | 54 | function y = matches_filter(filt,type,sz,vis,occ)
%function y = matches_filter(filt,type,sz,vis,occ)
%
% test if a Hylid ground truth entry matches a scoring filter
%
% 8/14/2012 - Taylor C. Glenn - tcg@cise.ufl.edu
if isempty(filt)
y = true;
return
end
y = false;
for i=1:numel(filt)
... |
d18369bff787435d48c706c336c7680eaf7688ca62e52f60df2ada9d5efece43 | MATLAB | 1,109 | 35 | %% function [resnorm, residual] = ResidualGradientGivenQSM(chi,matrixSize)
%
% Description: compute residual adn residual norm of gradient given QSM
%
% Input
% -----
% chi : QSM
% matrixSize : image matrix size
%
% Output
% ______
% resnorm : residual norm
% residual : residual map... |
ddc5f4925e952106f7a837252546b8e3ad6f6a4c0f53bfa333ebeac3fc42915f | MATLAB | 1,109 | 31 | function run_tier1()
%% run_tier1()
%
% Description: runs the Tier-1 toolbox-free smoke test suite
% (test/tier1_smoke/) and errors (non-zero exit under `matlab -batch`) if
% any test fails. Used both locally and by
% .github/workflows/tier1-smoke.yml.
%
import matlab.unittest.TestSuite
import matlab.unittest.TestRunne... |
21c0c70d14c41176f1b56c938926ffa0a48f2073c84f9c0684422deeb59b2a07 | MATLAB | 1,110 | 48 | function beh=relabel_ma2sleep(beh, varargin)
% function relabel_ma2sleep(beh,...)
% relabel wake < minWakeDur (ma) to nrem/rem
% ma adjacent to nrem will be nrem
% ma interleaved to rem will be rem
% remaining will be unchanged
%
% beh is n x 3 array
% [startTime endTime stateID]
%
% default values
% ... |
c5abdd4103fe0a7e541d07138ff5a90a524a1fa207601712f24d56e7a467e2c7 | MATLAB | 1,110 | 29 | function timestamps = Unshift(timestamps,intervals)
%Unshift - The opposite of option 'shift' in <a href="matlab:help Restrict">Restrict</a>.
%
% USAGE
%
% timestamps = Unshift(timestamps,intervals)
%
% timestamps time stamps to unshift, must be provided in the first column
% intervals each row is [... |
b61eefaf23d0991dd787a8ff077a26d443d6d9d07f78a5dfbb852e6f52770c16 | MATLAB | 1,111 | 20 | clear; close all; clc;
% Get the metadata for a dataset from the HDF5 file
h5disp('data_motor_unit.h5','/')
% We can see that the dataframe is organized in 8 'groups' (muscle, hip position
% and force level). Muscle = VM or VL, hip position = 90 or 180 degrees and
% force level = 10% or 30% MVC. Each member'... |
e8a5387fa9b6d5d2f374d89886e81965b473216719cbcc196487867130ffacab | MATLAB | 1,111 | 46 | function [u] = generateInput(T, n, system, checkInputs, varargin)
% generates inputs from a number of random initial conditions and plots
% them in the lorenz space.
% Parameters
% ----------
% T (int): length of the input samples
% n (int): number of input samples
% system (str): ... |
513020096240f03d638196682573e14cfc073dca95b1bd08b843541a6dac4680 | MATLAB | 1,112 | 39 | function [delaybins, delays_rats] = get_delays(ratlist, Bstruct, numbins)
%run to find delay bins
delays_rats = cell(length(ratlist), 1);
for rat = 1:length(ratlist)
ratname = ratlist{rat};
bdata = Bstruct.(ratname).SideOff;
thesestages = cellfun(@(x) logical(sum(strcmp(x,...
{'Proestrus',... |
5a579e21d4af83dae10d647720ee540c0f6f794b13dab01ec34732c765feb556 | MATLAB | 1,112 | 37 | function [K,dK] = covOne(hyp, x, z)
% Constant (degenerate) covariance function, with unit variance.
% The covariance function is specified as:
%
% k(x,z) = 1
%
% hyp = [ ]
%
% For more help on design of covariance functions, try "help covFunctions".
%
% Copyright (c) by Hannes Nickisch, 2016-04-17.
%
% See also covFu... |
f7978bcde14aefb60e4176562ee497fba85b7de440bff61af0867571f7a2d9f7 | MATLAB | 1,112 | 34 | function brainSlices_prep2plot(params, channels, plotInfo)
% brain slices plotting: prepares necessary data
% channels = H.channels(i_sel)
% (c) Jiri, Nov21
% based on plot_ieegChnlsInBrain.m
%% plot brain slices?
if ~isfield(params, 'plot_brainSlices')
params_default;
end
if ~params.plot_brainSlices.plot_slices
... |
50a42117ed58bff64c4779c85da8af1ef361adec3bd02b6ced542a91f5fe9299 | MATLAB | 1,113 | 43 | function [cst X A B C] = test05(m, n)
% function [cst X A B C] = test05(m, n)
% All intputs are optional.
%
% Test case for the Euclidean space (classical nonlinear optimization).
% We generate three matrices A, B and C and try to solve the Sylvester
% equation AX + XB = C by minimizing the residual ||AX+XB-C||^2.
%
%... |
5d4d32f9ad77e2297153d639f906343406c5a4edfb380c1049beb5e3e3ab9a8a | MATLAB | 1,113 | 30 | function saveResponsesAndTriggers(responseEvents, cfg, logFile, triggerString)
%
% saveResponsesAndTriggers(responseEvents, cfg, logFile, triggerString)
%
%
% (C) Copyright 2020 CPP visual motion localizer developers
if isfield(responseEvents(1), 'onset') && ~isempty(responseEvents(1).onset)
... |
7775bb7c07a26a6a36beb29d0d8412c1120ecb2fe7e61055f3f8e7d27a023715 | MATLAB | 1,113 | 50 |
% One panel can manage multiple axes/graphics objects.
%
% 19/07/12 This example, and the multi-object functionality,
% was added with release 2.5, and was suggested by user
% "Brendan" on Matlab Central.
%
% (a) Create a layout.
% (b) Create two user axes.
% (c) Have them both managed by a panel.
%% (a)
% create
... |
8edeea1dd89201f05419722f3f50a65c06c354c24fd1c0f68909e7a46fe6c6bb | MATLAB | 1,113 | 37 | function Change1D2Carray(f1d, decplaces, fc)
% take a 1D file and write it out as a C arrary
% f1d : 1D file name
% decplaces: -1 use all precision
% 0 ints
% > 0 number of decimal places
[err,v] = Read_1D(f1d);
if (decplaces >= 0),
v = round(v .* 10.^decplaces)/10.^decplaces;
end
fcid =... |
96337e8601934b349fa52ca55238b86a65387b9da7210a83b5ebc99873630855 | MATLAB | 1,114 | 32 | function [potentials,mask_index0] = computePotentials3D(D, meshstruct, M, RHSbc)
% Compute potentials 3D
% Define mask
Nx = D.domain.dims(1);
Ny = D.domain.dims(2);
Nz = D.domain.dims(3);
G=reshape((1:(Nx+2)*(Ny+2)*(Nz+2)), Nx+2, Ny+2, Nz+2);
mnx = Nx*Ny*Nz;
rowx_index = reshape(G(2:Nx+1,2:Ny+1,2:Nz+1),mnx,1); % main ... |
f04a7249bd62384e107f4e4b413130ff36247159c1369d131c215ba4308be021 | MATLAB | 1,114 | 49 | % modelRDMs is a user-editable function which specifies the models which
% brain-region RDMs should be compared to, and which specifies which kinds of
% analysis should be performed.
%
% Models should be stored in the "Models" struct as a single field labeled
% with the model's name (use underscores in stead of sp... |
0f290337180cd998ce325224803c6f186359ce2da2214150281ad5c4d638de79 | MATLAB | 1,115 | 42 | clc;
clear;
% load analysis results
res_dir = '/cbica/home/lihon/comp_space_recover/ABCD_comp/dl_prediction/pred_res_cog_abcc_bl_cv/non_dl_pnc_res';
dat_dir = '/cbica/home/lihon/comp_space_recover/ABCD_comp/dl_prediction/data_cog_pnc_cv';
num_r = 400;
st_type = 'regional';
num_K = 3;
ro_covars = 1;
out_dir = [res_... |
2e4cf5a7f3e45a027352aa574d0908753f7c06ca9bf252e87c0a2c1d67a5a0d5 | MATLAB | 1,115 | 45 | function [chouts choutc] = dotdelay_frames(gs, scw, in)
%function out = dotdelay(kernel, in)
%
% calculate linear responses of a system kernel to an input
%
% INPUT:
% [kernel] = kernel N x D matrix where N is number of channels and
% D is number of delay lines.
% [in] = input N x S matrix where S is the... |
6fcec078586ee0699f918990fea330a21238cfaa2c65e844464a6fedab34c391 | MATLAB | 1,115 | 33 | % Please cite this paper if you use any component of this software:
% D. Cunefare, L. Fang, R.F. Cooper, A. Dubra, J. Carroll, S. Farsiu, "Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks," Scientific Reports, 7, 6620, 2017.
% Re... |
72efaa4e4850aa18d9534eeae1c77c6fb03680fe332d0be3f56490d2f9bbd920 | MATLAB | 1,115 | 40 | function opt=varargin2struct(varargin)
%
% opt=varargin2struct('param1',value1,'param2',value2,...)
% or
% opt=varargin2struct(...,optstruct,...)
%
% convert a series of input parameters into a structure
%
% author: Qianqian Fang, <q.fang at neu.edu>
% date: 2012/12/22
%
% input:
% 'param', value: the input para... |
f39c373e35f9664fbfda39f670cdb75584cf8cc95bff06b0d60e4e65c2852861 | MATLAB | 1,115 | 44 | function [W ,Ydim, Xdim, Dtau] = get_estimated_weight(Model,parm,wmode);
% return Weight matrix from 'Model'
% [W ,Ydim, Xdim, Dtau] = get_estimated_weight(Model,parm,wmode);
% W : Weight matrix : 2D-matrix [Ydim x (Xdim * Dtau)]
% Dtau : time embedding dim
% Ydim : Output space dim
% Xdim : Input space dim
% ... |
f73470b2b68c44155a17f520c87df78dd76fb55508516dbd5b01a880142b81ac | MATLAB | 1,115 | 28 | function RGBim=mat2RGBimage(mat,cols,clims)
% Given a matrix mat, a colormap cols, and colorscale-limiting values
% clims, this function returns an RGB image RGBim in which the mat is
% displayed using the colormap, such that the first color in cols maps onto
% matrix value clims(1) and the last color in cols maps ont... |
92b81f8fec36e595b1ded92d832318c08f1c5a5dc3d93a7130283fd8604f8b2e | MATLAB | 1,116 | 28 | function r = RandomIntervals(n, sumDuration)
%RandomIntervals - generates n random intervals from 0 to 1, covering a total of 'sumDuration'
%
% EXAMPLE
%
% Generate random surrogate ripple events
% nRipples = size(ripples.timestamps,1);
% totalRippleDuration = sum(diff(ripples.timestamps,[],2));
% totalRecordingDurat... |
c3e769918294617028b6863955f3ab891448d99079552fc8bc912d6a52080c13 | MATLAB | 1,116 | 37 | function [K,dK] = covZero(hyp, x, z)
% Constant (degenerate) covariance function, with zero variance.
% The covariance function is specified as:
%
% k(x,z) = 0
%
% hyp = [ ]
%
% For more help on design of covariance functions, try "help covFunctions".
%
% Copyright (c) by Hannes Nickisch, 2016-04-17.
%
% See also covF... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.