fit.cont: GUI for fitting continuous distributions to given data

In rriskDistributions: Fitting Distributions to Given Data or Known Quantiles

Description

This function provides a GUI for choosing a most appropriate continuous distribution fitted to given data.

Usage

fit.cont(data2fit)

Arguments

data2fit

numerical vector, data to be fitted.

Value

Returns chosen continuous distribution, estimated parameters and data, on which the fitting is based.

Note

This function is used for defining a Monte-Carlo random variate item (mcrv) in the rrisk project.

Author(s)

Matthias Greiner [e-mail] (BfR),
Kristin Tolksdorf [e-mail] (BfR),
Katharina Schueller [e-mail] (STAT-UP Statistical Consulting),
Natalia Belgorodski [e-mail] (STAT-UP Statistical Consulting)

Examples

## Not run: 
  if ( class(tcltk::tclRequire("Tktable")) == "tclObj" ) {
    res1 <- fit.cont(data2fit = rgamma(374, 4, 0.08))
    res1

    res2 <- fit.cont(data2fit = rbeta(300, shape1 = 1, shape2 = 2))
    res2

    res3 <- fit.cont(data2fit = mc2d::rtriang(300, min = 1, mode = 3, max = 10))
    res3

    res4 <- fit.cont(data2fit = stats::rnorm(300))
    res4
  }

## End(Not run)

rriskDistributions documentation built on May 2, 2019, 3:44 a.m.