calculate_density: Estimate weighted kernel density

Description Usage Arguments Value Author(s) Examples

View source: R/kde.R

Description

Estimate weighted kernel density

Usage

1
calculate_density(w, x, method, adjust = 1, map = TRUE)

Arguments

w

Vector with weights for each observation

x

Matrix with dimensions where to calculate the density from. Only the first two dimensions will be used

method

Kernel density estimation method:

  • ks: Computes density using the kde function from the ks package.

  • wkde: Computes density using a modified version of the kde2d function from the MASS package to allow weights. Bandwidth selection from the ks package is used instead.

adjust

Numeric value to adjust to bandwidth. Default: 1. Not available for ks method

map

Whether to map densities to individual observations

Value

If map is TRUE, a vector with corresponding densities for each observation is returned. Otherwise, a list with the density estimates from the selected method is returned.

Author(s)

Jose Alquicira-Hernandez

Examples

1
dens <- Nebulosa:::calculate_density(iris[, 3], iris[, 1:2], method = "wkde")

powellgenomicslab/Nebulosa documentation built on May 5, 2021, 6:14 p.m.