summary_list_q: Quantiles of elements of matrices in a list

In meshed: Bayesian Regression with Meshed Gaussian Processes

Quantiles of elements of matrices in a list

Description

For a list of matrices \{ X^{(1)}, …, X^{(L)} \}, all of the same dimension, this function computes the matrix \hat{X} with i,j entry \hat{X}_{i,j} = quantile( \{ X_{ i,j }^{(l)} \}_{l=1}^L , q). This function does not run any check on the dimensions and uses OpenMP if available. This is only a convenience function that is supposed to speed up quantile computation for very large problems. The results may be slightly different from R's quantile which should be used for small problems.

Usage

summary_list_q(x, q, n_threads=1)

Arguments

x	A list of matrices of the same dimension.
q	A number between 0 and 1.
n_threads	integer number of OpenMP threads. This is ineffective if meshed was not compiled with OpenMP support.

Value

The matrix of quantiles.

Author(s)

Michele Peruzzi [e-mail]

Examples

# make some data into a list
set.seed(2021)
L <- 200
x <- lapply(1:L, function(i) matrix(runif(300), ncol=3)) 
quant_done1 <- summary_list_q(x, .9)

meshed documentation built on Sept. 20, 2022, 1:06 a.m.