sha256 stringlengths 64 64 | language stringclasses 28
values | size int32 1 491k | lines int32 1 23.2k | content stringlengths 1 200k |
|---|---|---|---|---|
d583fab29c7b5763a06ae3e577497d45628d75f99262eecac3e2388e13195e8f | MATLAB | 3,270 | 87 | function timeString = BF_TheTime(tsec,formatLong)
% BF_TheTime Converts a duration (seconds) to a human-interpretable string
%
% e.g., converts to minutes or hours or days as appropriate) output is something
% like '25.5 minutes' or '3.2 days' -- always displays to one decimal place.
%
% This code is useful for disp... |
15ec54fdc4e96136c5e23fae11223839819f071d67f54391e45d1d90aa14e461 | MATLAB | 3,271 | 94 | function TempRes3(is_cli_mode, freqCol, tempres, folder_name)
% Procedure to convert frequency-time formatted .csv files to .ctrs for
% categorisation by ARTwarp
%
% INPUTS
% - is_cli_mode (1x1 boolean): boolean flag indicating whether to bypass
% collecting parameters through the GUI. If is_cli_mode = false, the
% pr... |
c62e4bbbfda6157869f0b554aaa01b3df15277e555a490766ce8e204dccdbbf4 | MATLAB | 3,271 | 109 | function FigureS11(datadir, codedir)
%FigureS11 - Differential wait time dynamics based on lambda from
% sub-optimal Bayes model are robust across a range of percentiles.
% datadir = directory of dataset
% codedir = director of code
%% Set up paths
s = pathsep;
pathStr = [s, path, s];
onPath = contains... |
eda629fb5ff16fd7e48fc780ffba2af62cd63976cee6c2a7e8b8d1814a9d8db7 | MATLAB | 3,271 | 66 | %% load libraries
run('set_library_paths.m');
addpath(SPM_PATH); % per spm docs, do not genpath it
addpath(genpath(CANLABTOOLS_PATH));
%% VARIABLES THAT MUST BE DEFINED BEFORE THE SCRIPT IS SOURCED
% THIS SCRIPT IS DESIGNED TO ESTIMATE THE BETAS ACROSS THE WHOLE DATASET FOR A SINGLE ENCODING MODEL
% ONLY FOR USE TO LO... |
05b5e78103cbcb752d2f13d9e1336877972cbaf330ba96a85ff9e86b65f22f48 | MATLAB | 3,275 | 74 | disp('See http://www.gaussianprocess.org/gpml/code/matlab/doc/ for details.')
clear all, close all, write_fig = 0; N = 20;
sd = 3; rand('seed',sd), randn('seed',sd) % set a seed for reproducability
fprintf('a) switch between FITC/VFE/SPEP via the opt.s parameter\n')
a = 0.3; b = 1.2; f = @(x) a*x + b + sin(x); ... |
2c054d2127db1cba5fa9882411bca4d2b7fd4dae9facae094106d2bf0336d001 | MATLAB | 3,275 | 90 | function physio = tapas_physio_job2physio(job)
% Converts job from SPM batch editor to physio-structure
%
% physio = tapas_physio_job2physio(job)
%
% IN
%
% OUT
% physio physio input structure, as use by
% tapas_physio_main_create_regressors
%
% EXAMPLE
% physio = tapas_physio_job2physio(job)
%
% See... |
f18dc452b95f73017bdda0674cde5ddc50a576afdfb57908847c5059200e6c5a | MATLAB | 3,276 | 79 | clc
clear all
close all
% We leverage the VGG Image Annotator to label the pupil region of 9,011 near-eye images selected uniformly across the whole image dataset.
% Normally, the pupil region is regarded as an ellipse. Therefore, we label the region by adjusting the major axis, minor axis,tilt angle, and center of th... |
f62aaeabc19e356e7975118b2aeaa844ce4acb4c578c9af2fcc4a7598d259b63 | MATLAB | 3,276 | 110 | function [cmd,fnout]=surfing_afni_surfsmooth(surfdatapat,specfn,targetfwhm,varargin)
% Wrapper function to run AFNI SUMA SurfSmooth
%
% CMD=SURFING_AFNI_SURFSMOOTH(SPAT,SPECFN,FWHM,...)
% INPUTS:
% VPAT Pattern of .niml.dset surface files to smooth (wildcards allowed)
% SPECFN SUMA spec file, or a directory... |
117339642da7aba6ba6a654bcf908c0f2955ad366d13b3a4f624e5517b1ec57f | MATLAB | 3,277 | 77 | function fig = plot_params_figs(Params, fit, path_Data)
%plot_params_figs(Params 'struct', fit 'struct', path_Data 'string')
% plot and save figures for triexp model
%
% Params : Parameter struct
% fit : struct containing fitting results
% path_Data : path to input data file
switch Params.Mod... |
fe51a7ebf6fdcb7ec44c23f0eb5bf1c7370cc0adede14ca58fc4bbb0b34d3014 | MATLAB | 3,278 | 94 | function TempRes3(is_cli_mode, freqCol, tempres, folder_name)
% Procedure to convert frequency-time formatted .csv files to .ctrs for
% categorisation by ARTwarp
%
% INPUTS
% - is_cli_mode (1x1 boolean): boolean flag indicating whether to bypass
% collecting parameters through the GUI. If is_cli_mode = false, the
% pr... |
5bb9f39114d84f0c3679b4a1ce010a59240e0af6f20a48480aace43109c9f0fc | MATLAB | 3,279 | 106 | clc;
clear;
atlas = cifti_read('C:\Users\lihon\Desktop\abcd_study\atlas\Schaefer\Schaefer2018_400Parcels_17Networks_order.dlabel.nii');
atlas_parcel = atlas.cdata;
atlas_label = unique(atlas_parcel(atlas_parcel>0));
num_parcel = length(atlas_label);
% load regional brain development (RBD) index patterns
K = 3;
cen_... |
c848f5b509b797245faad2ac525129301c96b1ff7e1598a5eed522af4d083d39 | MATLAB | 3,279 | 108 | function [xs, x_2S] = FT_ampPhaseShuffle(x, dataInfo)
% manipulate amplitudes (magnitudes) or phases of a signal at specific freq
% - input: real, time-domain signal
% - computes FFT (on columns of x)
% - shuffles phases
% - iFFT (inverse FT)
% - output: modified, real, time-domain signal
% (c) Jiri, Jun21
%% setting... |
cd0bea47c127cbeeb7959cc892762a9fd2880099ffdfdb7b93b2a025535cd1fa | MATLAB | 3,279 | 61 | function triggers = getTriggers_fromTuning(params)
% uses as triggers the binned predictor from tuning analysis
% (c) Jiri, Dec12
predCh = 1;
position = params.tuning.predictor.selectedChnls{predCh}; % TO DO: for multiple predictors...
selCh = getDecodingChannels(params.connectionTable, params.tuning.pr... |
6d56af6f932459eb31cbea32f45acb016f1b1b051ee11534925559fcf0092d97 | MATLAB | 3,280 | 73 | function osp_updateSpecsOvWindow(gui)
%% osp_updateSpecsOvWindow
% This function updates the specs overview tab.
%
%
% USAGE:
% osp_updateSpecsOvWindow(gui);
%
% INPUT:
% gui = gui class containing all handles and the MRSCont
%
%
% AUTHORS:
% Dr. Helge Zoellner (Johns H... |
8f03d469ee963356fa01121017d2260ab78e381ed931148ce1fef3351642bf11 | MATLAB | 3,283 | 84 | % Compute conductance from vectors in a 3D example
% Author: Aina Frau-Pascual
%%
% Input image
im = zeros(3,3,3);
im(:,1,1) = 0.8;
im(:,:,1) = 0.8;
im(:,1,:) = 0.8;
im(3,3,3) = 0.8;
im(:,:,:,2) = 1 - im - 0.1;
im(:,:,:,3) = 0.1;
im(im>0.8) = 0;
%%
% Construct mesh structure
Lx = size(im, 1); % doma... |
7c3bea6d4e835cea1ee7f94894f8e88783461b0c0b0767f370cbe01662028de0 | MATLAB | 3,284 | 118 |
% Panel builds image files, not just on-screen figures.
%
% (a) Use demopanel1 to create a layout.
% (b) Export the result to file.
% (c) Export to different physical sizes.
% (d) Export at high quality.
% (e) Adjust margins.
% (f) Export using smoothing.
% (g) Export to EPS, rather than PNG.
%% (a)
% delegate
dem... |
2ae7e0ba6b25e5e05b8485a3d93c872f172096b6bb9e5f88ba6c84a7e8bf5ce5 | MATLAB | 3,285 | 115 | function FigureS5(datadir, codedir)
%FigureS5 - Dynamics of wait times and trial initiation times at
% transitions from mixed to high or low blocks
% datadir = directory of dataset
% codedir = director of code
%% Set up paths
s = pathsep;
pathStr = [s, path, s];
onPath = contains(pathStr,...
codedir, 'Ignor... |
27a3390ded2866e276c17acafe53d3c9969b92fbb01724fad203e4d31189cc48 | MATLAB | 3,286 | 88 | function net = cnn_cifar_init(varargin)
opts.networkType = 'simplenn' ;
opts = vl_argparse(opts, varargin) ;
lr = [.1 2] ;
% Define network CIFAR10-quick
net.layers = {} ;
% Block 1
net.layers{end+1} = struct('type', 'conv', ...
'weights', {{0.01*randn(5,5,3,32, 'single'), zeros(1, 32, 'si... |
9837be68fb892c80f631649ccfc387548828f9e4117939929a3561ddacae979b | MATLAB | 3,286 | 78 | function [Fval, A, f, sig ] = testSignificantFrequencies(data, lineNoise)
% Computes the F-statistic for sine wave in locally-white noise (continuous data).
%
% Usage:
% [Fval, A, f, sig ,sd] = testSignificantFrequencies(data,lineNoise)
%
% Parameters:
% data Single channel -- required
% lineNoise ... |
1a1f7d09611822ea6bab333380cdd835da867ea17633f80fce7fe12ed0d2f8b6 | MATLAB | 3,287 | 108 | % # (JM) MODIFIED FROM ORIGINAL FUNCTION 'shuffle'
function shuffled = shuffle(x,method)
%shuffle Shuffles raster data using various different methods
% Shuffles spike data (0 or 1) using three differnt methods
% assumes rows are individual cells and columns are time frames
%
% 'frames' - shuffles the frames in time,... |
247b8813e7ffdfd326ebd5993ce8aea3f99a1b3ce4615dd1a93b01a04952481b | MATLAB | 3,288 | 101 | function [ output_args ] = print_progress( p , type , timer )
%PRINT_PROGRESS( p , type , timer ) Prints an progress bar in the console.
% While working within the console it might be desirable to monitor the
% progress of certain calculation. However, the classic waitbar( ) is
% not accessible here, so that pri... |
4d2ccbf242da9ce9974f1aff9458e39034e2d471ee3955b7392040f11262132b | MATLAB | 3,289 | 96 | function surf = SurfStatWriteSurf1( filename, surf, ab );
%Writes coordinates and triangles to a single .obj or FreeSurfer file.
%
% Usage: surf = SurfStatWriteSurf1( filename, surf [,ab] );
%
% filename = .obj or FS file name. If extension=.obj, writes a .obj file
% (ASCII or binary), else writes a FS ... |
637a566aa8834e3446ea94bc46d756ab2be607bd241ca170de2d7d0a10f82791 | MATLAB | 3,289 | 100 | function [hb,he]=barwebQH(barvalues, errors, bw_legend, width, bw_colormap, pval)
%
% [hb,he]=barweb(barvalues, errors, bw_colormap, bw_legend, width )
%
% barweb is the m-by-n matrix of barvalues to be plotted. barweb calls the
% MATLAB bar function and plots m groups of n bars using the width and
% bw_colormap param... |
966ff0e25501fc52906f60b0d6993a951cb3b7866bb6a2ed2381c0a372e6149c | MATLAB | 3,289 | 111 | function result = locationParser(dodraw)
%% XYXY csv ÆÄÀÏÀ» ÀÐ¾î¼ À§Ä¡ °ªµéÀ» »Ì¾Æ Ãâ·ÂÇÑ´Ù.
% ÀÌ ÇÔ¼ö´Â Áß°£¿¡ trackingÀÌ ²÷±ä °æ¿ì¸¦ º¸°£ÇØÁÖ´Â ÇÔ¼ö recoverLocData ÇÔ¼ö¸¦ Æ÷ÇÔÇÑ´Ù.
% ui¿¡ xyxy ÆÄÀÏÀ» ¼±ÅÃÇØÁÖ¸é ÀÚµ¿À¸·Î Red LED, Green LED ¿¡ ÇØ´çÇÏ´Â À§Ä¡ ÁÂÇ¥µéÀ» È®ÀÎÇÏ°í
% trackingÀÌ ²÷±ä °÷À» ÀÚµ¿À¸·Î º¸°£... |
afc8408b436e3690dfadbbddc234da3939de1626f926a3e5dc631e38a343b63d | MATLAB | 3,289 | 91 | % AVEREF - convert common-reference EEG data to average reference
% Note that this old function is not being used in EEGLAB. The
% function used by EEGLAB is REREF.
%
% Usage:
% >> data = averef(data);
% >> [data_out W_out S_out meandata] = averef(data,W);
%
% Inputs:
% data - 2D data matrix... |
b9cbfb093359a0cc641d68aa2f510776590dd66ca3d1584b2810146187aa5d5a | MATLAB | 3,289 | 86 | function checkretraction(M, x, v)
% Check the order of agreement of a retraction with an exponential.
%
% function checkretraction(M)
% function checkretraction(M, x)
% function checkretraction(M, x, v)
%
% checkretraction performs a numerical test to check the order of agreement
% between the retraction and the expon... |
70f93ee96cef0c140224352a0093638c7b27cbeccd138e2f219e2289306cfe41 | MATLAB | 3,292 | 74 | function [opOutput, opQuality, opTime] = TS_ComputeOpLoop(masterOutput,masterCalcTime,masterLabel,operationCode)
% TS_ComputeOpLoop Links operations to outputs of corresponding master operations,
% including the assignment of error codes.
% --------------------------------------------------------------------------... |
2ec5801122aaeeea6f966f0597b511ad29d6e16084145cd0fcb81f01eaa0e37f | MATLAB | 3,293 | 84 | function [rez] = Waveform_M(rez,DATA)
M_clust = length(unique(rez.st(:,end)));
nt0 = rez.ops.nt0;
Nchan = rez.ops.Nchan;
%calculate the average template of the merged clusters
M_template = zeros(rez.ops.nt0,Nchan,M_clust);
M_std_template = zeros(rez.ops.nt0,Nchan,M_clust);
suma = zeros(nt0,Nchan,M_clust); %To calcu... |
4894ef9ef2ecf966367e3dbcbf5da070c9a77f89a9f1856067e4a9892a2aea28 | MATLAB | 3,293 | 81 | function output = TimeToPhase(input,phases,varargin)
%TimeToPhase - Resample signal as a function of unwrapped phase.
%
% LFP signals and spikes are recorded as a function of computer time, but one
% may instead wish to express them as a function of unwrapped LFP phase. This
% is necessary e.g. to align LFPs and sp... |
7fb15bc908823fee85786201796b3e254b9fb21b87df95c35dffec17b437037e | MATLAB | 3,293 | 95 | function [searchInputs] = get_searchInputs(searchMethod, y, varargin)
% GET_SEARCHINPUTS validates and returns inputs required for a specific
% searching algorithm. It also returns default inputs if no input are
% provided. Please check help section in the searching algorithms for
% required parameters in detail.
% ... |
32d381cd06a35456dca5546fad0ad8d5f4926c60e68505b86afd786835e3ff44 | MATLAB | 3,294 | 96 | % READEETRAKLOCS - read 3-D location files saved using the EETrak
% digitizing software.
% Usage:
% >> CHANLOCS = readeetraklocs( filename );
%
% Inputs:
% filename - [string] file name
%
% Outputs:
% CHANLOCS - EEGLAB channel location data structure.
% See help ... |
08bdc1e1b227acd973c7c6c6b5b58d1553702b78152ecc4264407442062d6e18 | MATLAB | 3,295 | 114 | function [idxs,nx,ny]=surfing_subsphere2rect(v,io,ix,iy,nx,ny,progressstep)
% Projects part of a spherical surface to a rectangle
%
% [IDXS,NX,NY]=SURFING_SUBSPHERE2RECT(V,IO,IX,IY,NX,NY)
% INPUTS:
% V Px3 surface coordinates (x,y,z) for P nodes
% IO,IX,IY Node indices (base 1) for origin, x and y edge... |
e4771d3c15cd06afe4e83049e7683492bb648ba99d04e67f5847a2e5d1b1a4dd | MATLAB | 3,297 | 112 | function fear_deltaTrigSpk_new(basename,varargin)
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
load([basicMetaData.Basename '.okunit.spikes.mat'])
load([basicMetaData.B... |
0db9b07922dd3016e1b355339fc0b1193093960e5b23e20ebc6a65dc7f0cd743 | MATLAB | 3,298 | 106 | function fear_hfoTrigIcaReac(basename,varargin)
% basename='~/data/Fear/triple/achel180320/achel180320';
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
load([basename '.basicMetaData.mat']);
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
param.tWindow=2... |
3cd6cfb2cbfe1509040972383377e145633f999afce77e7c38e6be65601da8b2 | MATLAB | 3,298 | 98 | function s = print(obj, pfx, verbose)
% Prints all non-empty values of a object along with their property names
%
% Y = MrCopyData()
% s = Y.print(pfx, verbose)
%
%
% This is a method of class MrCopyData.
%
% IN
% verbose {true} or false; if false, only the string is created, but
% no output to the comm... |
5a86b7c6b37ace10085818aebe7e5cf22fe5878cdc5ec2d99998335bf17b8836 | MATLAB | 3,299 | 113 | function [f_arr, D_arr, Dx_arr, s0_arr, fitted_dwi_arr, RSS, rms_val, chi, AIC, BIC, R_sq] = IVIM_standard_bcin(dwi_arr,bval_arr,sigmadwi,LB0,UB0,x0in,parallelFlag,previewMode,previewAxes)
if size(bval_arr,2) < size(bval_arr,1)
bval_arr = bval_arr';
end
numVoxels = size(dwi_arr,2);
numBvals = length(bv... |
f9a77c8646ed82f3f6bb09fb7b91b05b97f940aaab5673ec15f84df78686669b | MATLAB | 3,299 | 84 | function haveNewerRelease = tapas_check_for_new_release(verbose)
%% Check if a new release is available.
%
% Input
% verbose -- Show information on command prompt:
% 0 no information
% 1 only if there is a new release... |
11f791c4f4458daa7a5b57c9e4a66b552ce18eeca5eec7245577762810bcc6f0 | MATLAB | 3,301 | 85 | function [rez]=merging_T(rez,Threshold,k)
%Variable initialization
SF = rez.ops.fs; %sampling frequency to convert from sampling rate to second
Nclusters = length(unique(rez.st(:,end))); %Number of initial clusters from kilosort
NG_clus = Nclusters; %Number of clusters
... |
89c72fd688e0670514e88cb1ec320f1268348d0c144ce3c854701fa7ea90c77c | MATLAB | 3,301 | 99 | function roi_extract()
% Create spherical ROIs and extract mean No > Yes contrast values.
%% USER SETTINGS
spmDir = 'C:\path\to\spm';
firstLevelRoot = 'D:\path\to\firstlevel_decision_all_subjects';
includedSubjectsFile = 'D:\path\to\included_subjects.txt';
outputDir = 'D:\path\to\roi_output';
contrastName = 'Decision_... |
8ef9da1fdf768f3918f8c54a819e05eaac5de50549863c7215568349fb46537c | MATLAB | 3,302 | 78 | function sample_runscript_matlab(doParallelize,saveIncrement,fileName)
% SAMPLE_RUNSCRIPT_MATLAB Template function for looping over a hctsa analysis when
% using local Matlab files (initializing with TS_init).
%
%---INPUTS:
% doParallelize, (binary) whether to parallelize computations over av... |
a569e776a2b5e1d90221ffc7e75b8526d32399d273e746838d706e69d857cd14 | MATLAB | 3,302 | 106 | % op_getSNR.m
% Jamie Near, McGill University 2014.
%
% USAGE:
% [SNR]=op_get_Multispectra_SNR(in,NAAppmmin,NAAppmmax,noiseppmmin,noiseppmmax);
%
% DESCRIPTION:
% Find the SNR of the NAA peak in a spectrum.
%
% INPUTS:
% in = input data in matlab structure format
%
% OUTPUTS:
% SNR = Estimated SN... |
c963c8b204fee99ca40668a4651e90e0beab44ec4e986b9bb184e8cf93ff3f42 | MATLAB | 3,302 | 121 | function plot_fig6h(datadir)
% Plot average cross-validated classification accuracy of a logistic
% regression decoder. N = 18 sessions from 8 rats.
%
% INPUTS
% datadir: file path of data downloaded from Zenodo. Link to download can
% be found in README.
fpath = fullfile(datadir, 'data-published/NpxData/npx_DMS.mat')... |
f06242e1805b815729fbda6b73da499c670ddaede7544c7ceee14cb588fa5718 | MATLAB | 3,302 | 95 | function arg = ptparsevarargin(varargin)
%PTPARSEVARARGIN Parse input arguments of PERMUTOOLS functions.
% [PARAM1,PARAM2,...] = PTPARSEVARARGIN('PARAM1',VAL1,'PARAM2',VAL2,...)
% parses the input arguments of the main PERMUTOOLS functions.
%
% See also PTVALIDATEPARAMIN.
%
% PERMUTOOLS https://github.com/mick... |
24c94b42f177cafd3a70cf1a6db00ee5e89863d6334c1713de515dea99108e7e | MATLAB | 3,303 | 80 | function [R, scale]=ARFIT_arqr(v, p, mcor)
%ARQR QR factorization for least squares estimation of AR model.
%
% [R, SCALE]=ARQR(v,p,mcor) computes the QR factorization needed in
% the least squares estimation of parameters of an AR(p) model. If
% the input flag mcor equals one, a vector of intercept terms is
% bein... |
2ebe9f886153b348754c5513e7af0936743ff59935efb3406490ffd70faaca85 | MATLAB | 3,303 | 91 | function out = CO_trev(y, tau)
% CO_trev Normalized nonlinear autocorrelation, trev function of a time series
%
% Calculates the trev function, a normalized nonlinear autocorrelation,
% mentioned in the documentation of the TSTOOL nonlinear time-series analysis
% package (available here: http://www.physik3.gwdg.de/ts... |
30aecd087897d75d1a6e94f8285480e0421f92515438ece4d33c1689d4d22208 | MATLAB | 3,305 | 77 | function model_object = polynomial_step_model(data_obj, opt_kwargs)
%% this script is a based on a ChatGPT translation of Ryan Greenhalgh's pyforce's equivalent polynomial_step_model within models.py
%POLYNOMIAL_STEP_MODEL Fit polynomial_step_function to data in data_obj.
% feed this function with data that already o... |
1e41d21f1e2ee3053d374f2a1fc2ba7004c881428df1118483584049d5eb2286 | MATLAB | 3,306 | 127 | function [movie_dtr]=detrending(h5Path,varargin)
% [movie_dtr]=detrending(h5Path,varargin)
% h5Path can also be a local workspace variable.
% Variable input arguments:
% options.spatialChunk=false;
% options.methods='lowpass';
% options.samplingRate=[];
% options.lpCutOff=0.5;
% options.binning=[];
% options.frameRange... |
6798e66a6645de1e295651346dbd2463dde48ab1ef4250696f98f80d2c768a32 | MATLAB | 3,309 | 77 | function [surfacevert,dist] = nearestVertex(coord,vertices,varargin)
if nargin > 3, plotit = 1;,else plotit = 0;,end
% cut down number of vertices by getting into the right quadrant.
if coord(1) >= 0, v2 = vertices(vertices(:,1)>=0,:);,else v2 = vertices(vertices(:,1)<0,:);,end
if coord(2) >= 0, v3 = v2(v2(:,2)>=0,:)... |
14da9d218f1e36738487b2e05fd8d3b535b8e05e426b6e56f72a93214c30a28d | MATLAB | 3,310 | 88 | % SHORTREAD - Read matrix from short file.
%
% Usage:
% >> A = shortread(filename,size,'format',offset)
%
% Inputs:
% filename - Read matrix a from specified file while assuming four byte
% short integers.
% size - The vector SIZE determine the number of short elements to be
% read a... |
659f73cf0c2b7e3a4a6c1f3f5352f40816aeb0c494cc851ebbe613b88ec590d4 | MATLAB | 3,311 | 79 | %% [chi] = Wrapper_QSM_STISuiteiLSQRv3(localField,mask,matrixSize,voxelSize,algorParam, headerAndExtraData)
%
% Input
% --------------
% localField : local field map (tissue fields), in Hz
% mask : signal mask
% matrixSize : size of the input image
% voxelSize : spatial resolution of each dimension o... |
825154ec95e3ed8a8224281ff92164a6f4d89c84dd360c15e011ae6b6410e1c1 | MATLAB | 3,311 | 102 | function preprocess_nsd_epigradunwarp(datadir)
% must be run on stone only!
%%%%%%%%%% SETUP
% internal constants
gradfile = '7tps';
% calc
ppdir = regexprep(datadir,'rawdata','ppdata');
%%%%%%%%%% MAKE A NIFTI FROM FIRST VOLUME
% find first EPI volume
epidirs = matchfiles([datadir '/dicom/*bold*']);
epifiles = m... |
a559a41a181255add6c409027e7ce751aa35770424e42f36bd31d924dca96783 | MATLAB | 3,313 | 101 | function [out,switchOrder] = osp_onOffClassifyMEGA(in, target,Order)
%% [outA,switchOrder] = osp_onOffClassifyMEGA(in,target)
% This function decides which of the two provided MEGA sub-spectra in the
% are the edit-ON or the edit-OFF.
%
% To this end, the difference spectrum is analyzed. For GABA-edited data,
% ... |
ad4846d3c3f9811b65653087f0695c6e8f3fba325f3f3228aca12f540d5e868b | MATLAB | 3,313 | 102 | function map = vega20(N)
% Colormap from MatPlotLib 2.0. For attractive plots using the ColorOrder.
%
%%% Syntax:
% map = vega20
% map = vega20(N)
%
% For MatPlotLib 2.0 improved colormaps were created for plot lines of
% categorical data. The new colormaps are introduced here:
% <http://matplotlib.org/2.0.0rc2/users... |
e01e06892f4af4bd89f1cdebabba715516d45a68de4dfd6c1e4c52eb0709dfa2 | MATLAB | 3,313 | 104 | function ft_regress_physio(input, regressor, TR, cutoff_highpass, ...
path_output, cleanup)
% Regress physio
%
% ft_regress_physio(input, regressor, TR, cutoff_highpass, ...
% path_output, cleanup)
%
% Inputs:
% input - input time series
% regressors - multiple regressors as separate columns i... |
00bd23e0cc4fe38fa5dd39c23df651b3735a268fef593bb115b9f3228c959196 | MATLAB | 3,314 | 73 | function [rawdata, headerinfo] = readoldforcecurve (filename)
%% OPEN THE FILE
forcefile=fopen(filename);
%% THE FOLLOWING READS THE HEADERINFOS
xposition = textscan (forcefile,'# xPosition: %f',1);
yposition = textscan (forcefile,'# yPosition: %f',1);
index = textscan (forcefile,'# index: %d',1);
approachI... |
0d046c7443e38318010ef730105c2c076848231dc6738d39ccf978c1624aee5d | MATLAB | 3,314 | 77 | function output = projectClassifier(output, data, method)
% Project new data into fit SVM dimensions, replicating cross validation
% structure from the fitting process
for m = 1:length(output)
% Get trials to project
trialsTest = output(m).trialsTest';
% Allocate
projections = struct();
for tr... |
8aad72ddf8522bc344af546c34a44b75cf5d9415cdf312c81b0485742f2e0c7e | MATLAB | 3,314 | 108 | function [Burst] = Burst_80_160rev(SpikeTS, Window)
% EdgesISI = linspace(0,1,1001).';
% EdgesISI = EdgesISI(2:end);
% BurstISIHist = zeros(1000,1);
timeIntervalToTriggerBurst = 0.08*10000; % in ms
timeIntervalToMarkEndOfBurst = 0.16*10000; % in ms
ISIarray = diff(SpikeTS);
for i = 1:length(ISIarray)
... |
c50c104fe55121234943c70b9ae4d9b50e32e3b77159c96efa862caa7af71678 | MATLAB | 3,314 | 88 | % Find the furthest points of the diffusion cloud from the souce
function [Xmaxd,Ymaxd,Area_perm,Area,maxD]=findextremes(AUX,S0,i)
Ys=S0(1,1);
Xs=S0(1,2);
[r,c]=find(AUX);
if range(r)==0 && range(c)==0
k=0
Xmaxd=S0(1,2);
Ymaxd=S0(1,1);
Area_perm=0;
... |
664c051ba114bdcc006d03bd67303fa577a95737d806dfc4212c4329b94ddf3c | MATLAB | 3,315 | 97 | % -*- mode: matlab; -*-
% Neurophysiology Analysis Toolkit http://sourceforge.net/projects/nphys/
% Authors : Chris Higginson (original author) and Josh Tasman
% Copyright (C) 2002-2005 by the authors and the Mizumori Lab
% (at the University of Washington, Seattle)
%
% This program is free software; you ca... |
0a4512df0f78e8c70062d1bf7dc8dd1bb59b19267d5f2181b8546e0ded21ac81 | MATLAB | 3,316 | 96 | function [results] = preSelectEnvs(saveFigures)
% Loads results from preliminary evolutions of 10 Sprott environments
% (formally analysis02C), to check which environments are possible to
% predict given the capacity of our comparatively small reservoirs (N=100).
% Returns:
% --------
% results (table) with columns:
% ... |
7edd4a128d7272e68be8c3ebc359d9558a3a43d11fd327dd97478b3fdd3f49d7 | MATLAB | 3,316 | 92 | function out = EN_ApEn(y, mnom, rth)
% EN_ApEn Approximate Entropy of a time series
%
% ApEn(m,r).
%
% cf. S. M. Pincus, "Approximate entropy as a measure of system complexity",
% P. Natl. Acad. Sci. USA, 88(6) 2297 (1991)
%
% For more information, cf. http://physionet.org/physiotools/ApEn/
%
% ---INPUTS:
% y, the in... |
4c3c23252b3f0381528765d5bf280bbe1a50fe44b8861ffa0a8c762a97061eae | MATLAB | 3,318 | 89 | % In this script, we'll fetch the pupil radius and position, and plot it
% along with a calcium trace, all on the behavior clock. The relative times
% of the eye,treadmill, and trace are precise, but the clock itself starts
% at some arbitrary offset.
% Frame times from preprocess.Sync on the visual stimulus clock can... |
79d26e1545a4344d989e426bffb8e73d4548ba3152fb75f9b705ccce70107876 | MATLAB | 3,318 | 74 | function [DataMatrix] = add_noise_IVIM_T2_phantom(NoisePars,dataDir,dataFile, DataMatrix, saveOutput,PhantomPars)
% This function adds rician noise to a 2D IVIM phantom created using the
% generate_IVIM_T2_phantom function
%
% USAGE:
% [DataMatrix] = add_noise_IVIM_T2_phantom(NoisePars,dataDir,dataFile, Da... |
475a5312626ded01fe4ec4625f6b326cfb8fd0124625feba7d405457e121e864 | MATLAB | 3,321 | 75 | function [ERSP_corr, GPM_corr, ERSP_psc1, PSC, V] = specPCAdenoising(ERSP, varargin)
% spectral PCA denoising. PCA of gait ERSP and removal of first first principal
% component as describend in:
% Seeber M, Scherer R, Wagner J, Solis-Escalante T, Müller-Putz GR.
% High and low gamma EEG oscillations in central se... |
731d5c2b27fd546612caed417a58077b3acfb428f8326fc46ed2ed675f7e91a2 | MATLAB | 3,321 | 102 | function map = vega20c(N)
% Colormap from MatPlotLib 2.0. For attractive plots using the ColorOrder.
%
%%% Syntax:
% map = vega20c
% map = vega20c(N)
%
% For MatPlotLib 2.0 improved colormaps were created for plot lines of
% categorical data. The new colormaps are introduced here:
% <http://matplotlib.org/2.0.0rc2/us... |
e094b92296d254d5cf924f20af2814199f70e8d3f5aa31fba39d61d7b5f229f2 | MATLAB | 3,321 | 102 | function map = vega20b(N)
% Colormap from MatPlotLib 2.0. For attractive plots using the ColorOrder.
%
%%% Syntax:
% map = vega20b
% map = vega20b(N)
%
% For MatPlotLib 2.0 improved colormaps were created for plot lines of
% categorical data. The new colormaps are introduced here:
% <http://matplotlib.org/2.0.0rc2/us... |
42a303f84ec367738e9c87f5bd0c9bc9edca7048eb43caf356968510241e7113 | MATLAB | 3,322 | 130 | function [efs,F,cdfs,p]=repanova2D(d,D,fn,gg,alpha,print_output)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% [efs,F,cdfs,p,eps,dfs,b,y2,sig]=repanova(d,D,fn,gg,alpha)
%
% General N-way (OxPxQxR...) repeated measures ANOVAs (no nonrepeated factors)
%
% Input:
%
% d = data A matrix with rows = replications ... |
45acbd7ec49ec6d2213f412dfe7e0205c97a1eae8fcff3e71c8a1ce7e2e927a5 | MATLAB | 3,322 | 88 | function fear_icaTripleStrWake_optShfit(basename,varargin)
% basename='~/data/Fear/triple/hoegaarden181115/hoegaarden181115';
param.templateSes=2;
param.threshold=125;
load([basename '.basicMetaData.mat'])
fprintf('%s start %s with data of %s\n',datestr(now),mfilename,basicMetaData.SessionName)
%%
param=parseParamete... |
e7deaf3af837921d1421d073ce0877e2d7b14e2a4454594ea424af83f33dab28 | MATLAB | 3,323 | 71 | function verbose = tapas_physio_splash(verbose)
%Print splash information
%
% output = tapas_physio_splash(input)
%
% IN
%
% OUT
%
% EXAMPLE
% tapas_physio_splash
%
% See also
% Author: Lars Kasper
% Created: 2022-02-17
% Copyright (C) 2022 TNU, Institute for Biomedical Engineering,
% Univ... |
062f9dc91e4a82476c7e929c976157d3f0dedf1a92579d68bea5c94086635a48 | MATLAB | 3,324 | 124 | function [WTOpt, WTMdl, BlkInf, Belief, Prior, Kappa] =...
GenerateSynthData_Bayes_SS(params, ratTrial,...
noise_arg, gen_arg, noise_params, rewType)
%GenerateSynthData_Bayes - generates synthetic wait times
%for optimal Bayes model. AVM, adapted by SSS
% Inputs:
% params - Parameter vector. [kappa_mi, kappa_... |
d442563478da7806b888162c607e0c0b605f40244753ead40c8270de2df8d5a9 | MATLAB | 3,324 | 104 | function [edgeMat, nodes, edgeIdx] = load_corrMatFiles(corrMatDir, verbose)
% LOAD_CORRMATFILES Loads correlation matrices and extracts edge features.
%
% Loads all connectivity matrices from a directory into a single edge
% matrix of size (subjects x features), where features are upper-triangle
% edge values.
%
% Argu... |
bfaf23b11436dc0cddd4713bd3791184877a8fbddf243676b05d82fa3f89d7c4 | MATLAB | 3,325 | 90 | % POP_SAVEH - save the EEGLAB session command history stored in ALLCOM
% or in the 'history' field of the current dataset
%
% Usage:
% >> pop_saveh( ALLCOM, filename, filepath);
% >> pop_saveh( EEG.history, filename, filepath);
%
% Inputs:
% ALLCOM - cell array of strings containing the EEGLAB ... |
cb488d78dfcf51cecc74ca864415725d567217429a3e5c519bd3227afb9a3c60 | MATLAB | 3,325 | 133 | function [gabor, gabor90, scweights] = make3dgabor_frames(xytsize, params)
%function [gabor, gabor90] = make3dgabor(xytsize, params)
%
% returns a gabor functions of size X-by-Y-by-T, specified by a vector PARAMS.
%
% INPUT:
% [xytsize] = vector of x, y, and t size, i.e. [64 64 5]
% [params(1:2)] = center_x, ce... |
0ec07cff2e930b2ff246fc1371ec429bb0332acb2c1e255068499949d0b8c93e | MATLAB | 3,326 | 91 | %% h = sepia_handle_panel_swismwi_SMWI(hParent,h,position)
%
% Input
% --------------
% hParent : parent handle of this panel
% h : global structure contains all handles
% position : position of this panel
%
% Output
% --------------
% h : global structure contains all new and other h... |
3742fd0e0ad5449a6133de622773f579162cbbe23985d1ad207e7a816f53f286 | MATLAB | 3,326 | 132 | function [h,p] = ConcentrationTest(angles,group,alpha,nRandomizations)
%ConcentrationTest - Test homogeneity of concentration parameters.
%
% Test whether the concentration parameters for N groups of circular data are equal.
% The data are assumed to have Von Mises distributions. If the median concentration
% is infer... |
3f0e5d156aecbdc08775160aee2e32753dc1fc94c45d7b310274a73e257a6d4c | MATLAB | 3,327 | 81 | % 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... |
47f7a33451b5d763a43ce29b744d43204964b92ef08f1e3723734a644024e965 | MATLAB | 3,327 | 119 | function [onset, duration, dots] = doDotMo(cfg, thisEvent, thisFixation, dots, iEvent)
%
% Wrapper function that present the dot stimulation (static or motion) per event.
%
% USAGE::
%
% [onset, duration, dots] = doDotMo(cfg, thisEvent, thisFixation, dots, iEvent)
%
% :param cfg: PTB/m... |
4b5db2e09db9a03880e2fe86e23e14d58f1c757db587a288476178cdaba7bcea | MATLAB | 3,327 | 81 | function mk_edgescsv_from_mat()
% MK_EDGESCSV_FROM_MAT
% Converts NxN connectivity matrices into required .csv file by FC modality
%
% addpath(genpath('matlab'))
% mk_edgescsv_from_mat()
% Setup
ROOTDIR = fileparts(fileparts(mfilename('fullpath')));
DATADIR = [ROOTDIR '/data']; ... |
5eea675755e516dc0bccb401257630be9a4dd4886680e42a80282b8591c978ad | MATLAB | 3,329 | 89 | function p = expandReplaceWithGoodies(attemptcount,newThresh)
global numFact numDose
global SelectedVectors TopVectors GoodiesPool TabuList Xselect GoodiesUsedRWG
TopVectors = [TopVectors SelectedVectors]; % ReplaceWithGoodies 16
GoodiesUsedRWG = 0;
% Sort TopVectors -- mean score of vectors in row numFact... |
8118d3ce3f17155545112f15a377f3e5a19eca6284428e704b5a39218bcddbdd | MATLAB | 3,329 | 145 | %%
% Other sandbox - making eigs for each of the networks.
load UseToComputeDegPerNet.mat
% Get rid of what we don't need
clear ContACount ContACxd ContBCount ContBCxd ContCCount ContCCxd DMNACount DMNACxd DMNBCxd DMNBCount DMNCCount DMNCCxd LimACxd LimACount LimBCxd LimBCount SalVentAttnBCxd SalVentAttnBCount S... |
8ae270019d7e29b354561ab36e362a8937b43a9e390cc44c017e20ba30b5ebee | MATLAB | 3,329 | 102 | % READ_RDF - read RDF-formatted EEG files.
%
% Usage:
% >> [eeg,ev,header] = read_rdf(filename);
%
% Inputs:
% filename - EEG data file in RDF format
%
% Outputs:
% eeg - eeg data (array in size of [chan_no timepoint];
% ev - event structure
% ev.sample_offset[] - event offsets in samples
% ... |
ac7accb57e47ba0e39b02c64a3997993775cbc2308fbb8c47331d0285f94e152 | MATLAB | 3,331 | 78 | %{
pre.NMFSettings (lookup) # Settings for the NMF algorithm
->pre.SegmentMethod
setting_idx : tinyint # unique index for the configuration
-----
name : char(20) # descriptive name of the settings
p=2 : int # initial order of autoregressive system (p = 0... |
565bf6f5e8c15e4a7742f4583d443b6d5b1c87da686c66921b3718625cec9ef8 | MATLAB | 3,332 | 112 | function [ testResult ] = tapas_ceode_testScript_erp()
% [ testResult ] = tapas_ceode_testScript_erp()
%
% THIS IS A SCRIPT SOLELY FOR TESTING THE SPM/TAPAS SETUP. DO NOT CHANGE!
%
% Takes a synthetic dataset (3 population ERP model), and computes the
% predicted response for different integrators and levels of delays... |
59238459d6e792c25d4f0659c698f84b044941659157aeef209fb588b73f606e | MATLAB | 3,333 | 70 | %% create MS individual ROI = overlap Roi
% save the individual clusters of hMT and MTt
% overlap of individual hMT and MTt and then make their ROI mask
clear all
% sub-pil001 and sub-pil002 have no localizer
%'sub-011' have no hMT;'sub-013' no (rhMT rMTt),'sub-014' no MTt
%'sub-008' have only right mst - !! do manua... |
2c5b86ce8ad1c5ca10a9c4d34415cd84fa8cd66684650b1c798b2e6ead37e6a9 | MATLAB | 3,334 | 77 | %LC2014.
%Deteccion de estados usando conceptos de algebra lineal
%La matriz formada por la multiplicacion de los eigenvalues*eigenvectors
%indica el conjunto de vectores linealmente independientes que describen el
%comportamiento de la red.
%Una limitacion es que los patrones deben aparecer varias veces
%para ser c... |
804b459bf2a5b5792a63ca5b6f848efcf27ba34afcdab79b101497acedf12290 | MATLAB | 3,336 | 110 | % fit_createMetabList.m
% Georg Oeltzschner, Johns Hopkins University 2019.
%
% USAGE:
% metabList = fit_createMetabList;
%
% DESCRIPTION:
% Creates a list of metabolite basis functions that are to be included in
% a fit.
%
% OUTPUTS:
% metabList = structure including flags (1 = included, 0 = excluded) for
% ... |
92dad0e4f662b5d9cf4bfe0d67991babb266e81c636c8cb6e5681ad68d86a29e | MATLAB | 3,336 | 79 | function ProcessData_Figure1(datadir, savedir, codedir)
%ProcessData_Figure1 - Process raw data saved under datadir such that it can be plotted by PlotFigure1.
% INPUTS:
% datadir - Local directory where 'Golden_Nature/RawData_Figure1.mat' from Zenodo was saved
% codedir - Local directory where code (e.g., publishe... |
e3051ddd28b77d3ef1d10062890869ee739c19fbcd776db4e84cd6232effcb3a | MATLAB | 3,337 | 86 | function task_gaitERSP_clean(sii, PATH, cfg, fieldName)
% Calculate gait ERSPs of processed data stored at PATH.fieldName
% with artifact attenuated single subject EEG datasets stored as file_in at PATHIN
%
% INPUT
% - sii: vector of subject IDs to be processed
% - PATH: structure with all paths leading to dif... |
8cb25f464be2d816c4454a6bbdacc78ce46bf471d5f79b51a8729add85aee66f | MATLAB | 3,338 | 106 | % estimatePSFT
% Estimates pSFT parameters from voxel time series via fmincon
%
% Inputs:
% I - input time series [time x 1]
% measured_BOLD - voxel time series [time x voxels]
% HRF - hemodynamic response function [time x voxels]
% p - structure of parameters (see example_pipeline.m)
% ... |
d3bdd8ea50026df3169bcb73d004209c32d5a44f2e272fa677e30926b25a9773 | MATLAB | 3,338 | 112 | function Test_trace_ratio()
%
% Maximize trace(X'*A*X)/trace(X'*B*X) with B being symmetric and positive
% semidefinite and A is only symmetric.
%
% This file is part of Manopt and is copyrighted. See the license file.
%
% Main author: Bamdev Mishra
% Contributors:
%
% Chang... |
faeae617729f55630ae19bda1e1917b369008e68a0dfe27b16b3bef7d54ed189 | MATLAB | 3,338 | 83 | % Script unit_test_debug
% Examples how to perform individual unit tests for debugging. Tags or the
% unit test name can be used. Note that changes in the class definitions
% requires a clear classes to take effect.
%
% unit_test_debug
%
%
% See also MrUnitTest
% Author: Saskia Bollmann & Lars Kasper
% Created: ... |
6122af6ab19332b5ff1e4c1d3848229210361fcdb0e9ed10bc9ba7cc4c8e088d | MATLAB | 3,340 | 84 | function [varargout] = likErf(hyp, y, mu, s2, inf, i)
% likErf Error function or cumulative Gaussian likelihood function for binary
% classification or probit regression
%
% Report number of hyperparameters
% s = likErf ()
% s = likErf (link)
%
% Prediction mode
% lp = likErf (hyp, y, mu)
% [lp, ymu, y... |
98697ca6a1ce71e5c51dbfb37b8500ea782bc5a83d23ac88a45eca0d3463ab82 | MATLAB | 3,340 | 89 | function [u_norm, coeffs, u] = smallestinconvexhull(M, x, U, tol)
% Computes a minimal norm convex combination of given tangent vectors in Manopt.
%
% function [u_norm, coeffs, u] = smallestinconvexhull(M, x, U)
% function [u_norm, coeffs, u] = smallestinconvexhull(M, x, U, tol)
%
% M is a manifold as returned by a Man... |
43f9ce9d7f9350b455cfbdc68236149d889342293a1c9b601669eee7f9ef759d | MATLAB | 3,342 | 87 | function [rez]=merging_S(rez,Threshold)
%Variable initialization
SF = rez.ops.fs; %sampling frequency to convert from sampling rate to second
Nclusters = length(unique(rez.st(:,end))); %Number of initial clusters from kilosort
NG_clus = Nclusters; %Number of clusters
nt... |
a265bf30debc717e2178067d7d6b9233200ee82082bbc9565c8fffd8e4a45f29 | MATLAB | 3,342 | 149 | function [l, sh] = TellAfni_Commands (f, fpart )
%
% [l, sh] = TellAfni_Commands (f, field)
%
%Purpose:
% Extract, all the commands from README.driver
% No guarantee that you'll get all the commands extracted,
% Use this as a guide but read the entire README.driver for the full picture
%
%Input Parameters:
% ... |
b331470b8676c9012ee1720114be27d5472c1947e514f74edc13b26bd8443746 | MATLAB | 3,342 | 90 | function prepareICAs(dtseriesName,ICAs,wbcommand,ICAdtseries,NoiseICAs,Noise,Signal,ComponentList,hp,TR)
% Convert input paramter strings to numerics as necessary and show input parameters
func_name='prepareICAs';
fprintf('%s - start\n', func_name);
fprintf('%s - dtseriesName: %s\n', func_name, dtseriesName);
fprintf(... |
9ff6eb82d612f73943479bc98738e08fe73be20e967236b2b9774a619fcf1b89 | MATLAB | 3,343 | 92 | % Data from Kreher et al., 2008, Table S1A
dffJC = ...
[-6 -43 -9 -3 -4 -7 2 -19 37 32 8 2 -19 3 -4 1 0 5 11 -6 -4
2 6 -7 -6 1 -3 0 -1 15 -8 26 3 -4 6 0 4 -1 88 0 3 3
6 177 78 -4 -7 3 -7 147 184 10 91 16 10 21 11 131 98 7 98 8 16
2 -4 -6 -17 -16 -2 -2 115 53 32 46 16 -4 6 20 79 62 -10 5 -1 8
7 20 -2 -8 7 3 -5 -3 215 14... |
c5f734a3eddc96cfc913922ae8413a3f8b3ca491d8e2f3606a307a02ba2295ff | MATLAB | 3,343 | 101 | function peak_loc = get_peakloc(data,win_width,sample,meanfreq,no_osc)
% Extracting data driven windows from recurrence plots
%
% Tewarie et al., 2019 Tracking dynamic brain networks using high temporal
% resolution MEG measures of functional connectivity
%
%
% Output: - peak_loc refer to... |
4410987ccade002cb32cc91a835792f2b9dea4848c8a626a392bb33512138d04 | MATLAB | 3,344 | 151 | function [cid, alpha, mu] = circ_clust(alpha, numclust, disp)
%
% [cid, alpha, mu] = circClust(alpha, numclust, disp)
% Performs a simple agglomerative clustering of angular data.
%
% Input:
% alpha sample of angles
% numclust number of clusters desired, default: 2
% disp show plot at each ste... |
ee2cb30bcdd7c4e9597543675e93e11dc44841d474acfb30630ef95447eb3a1f | MATLAB | 3,344 | 81 | % RSPDFSOLV - sub-function used by RSFIT to searc for optimal
% parameter for Ramberg-Schmeiser distribution
%
% Usage: res = rspdfsolv(l, l3, l4)
%
% Input:
% l - [lambda3 lamda4] parameters to optimize
% skew - expected skewness
% kurt - expected kurtosis
%
% Output:
% res - residual
%
% Aut... |
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