useFitdist: Fitting amount continuous distributions to given univariate...

In BfRstats/rriskDistributions: Fitting Distributions to Given Data or Known Quantiles

Description

Fitting amount continuous distributions to given univariate data

Usage

useFitdist(data2fit, show.output = TRUE, distributions)

Arguments

data2fit	numerical vector, data to be fitted.
show.output	logical value, if TRUE the output will be printed.
distributions	simple character or character vector giving the names of distribution families, that should be fitted to the data. The possible values are: norm, cauchy, logis, beta, exp, chisq, unif, gamma, lnorm, weibull, f, t, gompertz, triang.

Details

This function is not intended to be called directly but is internally called in fit.cont.

Value

Returns matrix with fitting results. More information...

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

x1 <- rgamma(374, 4,0.08)
res1 <- useFitdist(data2fit = x1)
res1

x2 <- rbeta(300, shape1 = 1, shape2 = 2)
res2 <- useFitdist(data2fit = x2)
res2

BfRstats/rriskDistributions documentation built on May 5, 2019, 2:42 p.m.