fitmix.plot: Plot empirical density and components and total density for...

In gtx: Genetics ToolboX

Description

Draws a nice plot.

Usage

fitmix.plot(x, p, mu, sigma)

Arguments

x	Real vector of data.
p	Real vector of mixture proportions.
mu	Real vector of mixture component means.
sigma	Real vector of mixture component standard deviations.

Value

Returns an invisible null.

Author(s)

Toby Johnson [e-mail]

Examples

xx <- fitmix.simulate(100, c(0.49, 0.42, 0.09), c(0, 1, 2), c(.3, .3, .3))

## additive model, common variance, Hardy--Weinberg
fit.a <- fitmix(xx, 3, maxit = 10, restarts = 3,
                sigma.common = TRUE, p.binomial = TRUE, mu.additive = TRUE)
fitmix.plot(xx, fit.a$p, fit.a$mu, fit.a$sigma)

## general (unrestricted) fit
fit.g <- fitmix(xx, 3, maxit = 10, restarts = 3)
fitmix.plot(xx, fit.g$p, fit.g$mu, fit.g$sigma)

gtx documentation built on May 2, 2019, 5:08 a.m.