gmmplot: Plot the Fit Results of 2-Component Gaussian Mixture Model

In l1kdeconv: Deconvolution for LINCS L1000 Data

Description

Plot the Fit Results of 2-Component Gaussian Mixture Model

Usage

gmmplot(x, mu1, mu2, sigma, lambda, nbins = 15, xlim)

Arguments

x	a numeric vector
mu1	the mean of the 1st cluster
mu2	the mean of the 2nd cluster
sigma	the common variance of both clusters
lambda	the proportion parameter
nbins	the number of bins per cluster (6*sigma)
xlim	the limitation of x scale

Examples

set.seed(0)
x=list(c(
  rnorm(150, mean=0)
  , rnorm(50, mean=10)
  ))
fit_res=multigmmsamedistribu(x)

with(
  as.list(fit_res$par_conv)
  , gmmplot(x[[1]]
    , mu1=mu1
    , mu2=mu2
    , sigma=sigma
    , lambda=lambda
    , xlim=range(unlist(x))
    )
  )

l1kdeconv documentation built on May 2, 2019, 10:16 a.m.