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thin

Thin the rows of a matrix

Description

Systematic sampling of every thin'th row of a matrix or vector. Useful for culling MCMC output or denoising a plot.

Usage

thin(x, thin)

Arguments

x

The array to be thinned. The first dimension is the one sampled over.

thin

The frequency of observations to keep. With thin=10 you will keep every 10th observation.

Value

The thinned vector, matrix, or array is returned.

Author(s)

Steven L. Scott

Examples

x <- rnorm(100)
thin(x, 10)
# returns a 10 vector

y <- matrix(rnorm(200), ncol=2)
thin(y, 10)
# returns a 10 by 2 matrix
Boom

Bayesian Object Oriented Modeling

v0.9.7
LGPL-2.1 | file LICENSE
Authors
Steven L. Scott is the sole author and creator of the BOOM project. Some code in the BOOM libraries has been modified from other open source projects. These include Cephes (obtained from Netlib, written by Stephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site), and a modified version of the R math libraries (R core development team). Original copyright notices have been maintained in all source files. In these cases, copyright claimed by Steven L. Scott is limited to modifications made to the original code. Google claims copyright for code written while Steven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an officially supported Google project.
Initial release
2021-02-15

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