GUI for fitting continuous distributions to given data

Description

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

Usage

1
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 matthias.greiner@bfr.bund.de (BfR),
Kristin Tolksdorf kristin.tolksdorf@bfr.bund.de (BfR),
Katharina Schueller schueller@stat-up.de (STAT-UP Statistical Consulting),
Natalia Belgorodski belgorodski@stat-up.de (STAT-UP Statistical Consulting)

Examples

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## 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)

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