To randomly sample from data, with or without replacement, usedatasample. Algorithms datasampleusesrandperm,rand, orrandito generate random values. Therefore,datasamplechanges the state of the MATLAB®global random number generator. Control the random number generator usingrng. ...
To sample data randomly, with or without replacement, usedatasample. Extended Capabilities C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™. GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. ...
Example:randsample(10,2,true)returns two values with replacement from the integers1to10. Data Types:logical Sampling weights, specified as a vector of nonnegative scalar values. The length ofwmust be equal to the range of integers to sample or the length ofpopulation. The vectorwmust have at...
Those analyses were performed using Matlab R2017b and the fieldtrip toolbox 2016112967. Decoding analysis We began each decoding analysis by selecting and pooling all trials with the desired types, separately for each monkey. If the analyzed trials contained button presses, we excluded any trials ...
[Msamp,samples] = sampleBlock(___) also returns a data structure containing the block replacement values for each sampling point. You can use this syntax with any of the preceding input argument combinations.Examples collapse all Sample Real Parameter in Tunable Model Copy Code Copy Command Creat...
This MATLAB function returns the sample autocorrelation function (ACF) and associated lags of the input univariate time series.
MATLAB/Simulink Robotics System Toolbox Computer Vision System Toolbox (optional) Image Processing Toolbox (optional) Release Compatibility Autoware Messages Autoware 1.8.0 MATLAB/Simulink Created with R2018b Provided Samples modulenodeDescriptionMATLAB CodeSupportSimulink ModelSupportToolbox Detection ACF Det...
All custom MATLAB analysis scripts are available fromhttps://github.com/fmrireplicability/NCB_code. Data availability All original data for the HCP analyses presented here are available from the AWS S3 bucket described above (s3://hcp-openaccess). The IARPA SHARP Program data repository is anticip...
Appendix A. Supplementary data The following is the Supplementary material related to this article. Download: Download zip file (5MB) MMC S1. The supplementary material consists of an Online Appendix with further tables as well as Matlab code to replicate the results of the paper. ...
Fitting was performed with real signals for IR experiments and with magnitude signals for all other measurements. Non-linear regression used the function “nlinfit”. The uncertainties of the determined T1 values were specified as 95% confidence intervals using the “nlparci” algorithms of MATLAB’s...