datsim: Simulation of data
In nschaefer1211/OSE: Orthogonal Series Density Estimation

Description Usage Arguments Value Examples

Creates a data frame consisting of pairs (x, y) where the first component is distributed according to a given probability density and y satisfies y = m(x) + e where e is a normally distributed error term.

1	datsim(dens, m, n)

`dens`	a probability density on [0,1]
`m`	a regression function
`n`	a numeric value, specifying the number of pairs of values to be generated

an n x 2-data.frame

1 2 3 4 5	#define a density on [0,1] dens1 <- function(x) 1 + 0.5 * sin(2 * pi * x) #using the log-function as regression function datasim1 <- datsim(dens1, log, 50) datasim1