approxk2d: approxk2d

In chrischen1/viper_copy: Virtual Inference of Protein-activity by Enriched Regulon analysis

Description

This function uses a gaussian kernel to estimate the joint density distribution at the specified points

Usage

approxk2d(x, gridsize = 128, pos = x)

Arguments

x	Matrix of x and y points
gridsize	number or vector indicating the size of the greed where to estimate the density
pos	Matrix of coordinates to evaluate the density

Value

Vector of density estimates

Examples

x <- rnorm(500)
y <- x+rnorm(500)
kde2 <- approxk2d(cbind(x, y))
plot(x, y, pch=20, col=hsv(0, kde2/max(kde2), 1))

chrischen1/viper_copy documentation built on May 13, 2019, 6:52 p.m.