distrmix_helper_fun: Helper function for fitting Normal mixture model

Description

Factored out code used in both stat_distrmix_line() and stat_distrmix_eq().

Usage

distrmix_helper_fun(
  data,
  aes.name = "x",
  method,
  method.name,
  se,
  method.args = list(),
  k = 2,
  free.mean = TRUE,
  free.sd = TRUE,
  n.min = 10L * k,
  fit.seed = NA,
  fm.values = TRUE,
  verbose = getOption("verbose", default = FALSE)
)

Arguments

data: A layer specific dataset, only needed if you want to override the plot defaults.
method: function or character If character, "normalmixEM" or the name of a model fit function are accepted, possibly followed by the fit function's method argument separated by a colon. The function must return a model fit object of class mixEM.
se: Currently ignored.
method.args: named list with additional arguments.
k: integer Number of mixture components to fit.
free.mean, free.sd: logical If TRUE, allow the fitted mean and/or fitted sd to vary among the component Normal distributions.
n.min: integer Minimum number of distinct values in the mapped variable for fitting to the attempted.
fit.seed: RNG seed argument passed to set.seed(). Defaults to NA, which means that set.seed() will not be called.
fm.values: logical Add parameter estimates and their standard errors to the returned values (`FALSE` by default.)
verbose: If FALSE, capture screen output from method and display it as a message() only in case of conversion failure.

Details

This function does the model fitting and returns a data frame with the estimates for the parameters. It is a wrapper on functions from package 'mixtools'.