fit_dist_norm {ABCp2}R Documentation

Fit Offspring Distribution to the Normal Distribution

Description

This function fits offspring data to a special case of the normal distribution, in which zero and negative values of offspring are excluded, and tests the goodness of fit using the chi-squared test.

Usage

fit_dist_norm(dist)

Arguments

dist

a numeric vector of data values for number of offspring per dam.

Value

estimate

Mean and standard deviation parameters estimated from the supplied distribution.

sd

Standard deviation of the mean and standard deviation estimates.

vcov

Variance/covariance matrix of the mean and standard deviation estimates.

loglik

the log-likelihood of the mean and standard deviation estimates.

n

The number of observations.

statistic

The chi-squared test statistic.

parameter

Degrees of freedom for the chi-squared test.

p.value

P-value for the chi-squared test.

data_norm

Vector of values generated from a special case of the normal distribution.

Author(s)

M. Catherine Duryea, Andrew D. Kern, Robert M. Cox, and Ryan Calsbeek

Examples

#Fit the Mean and Standard Deviation parameters to a distribution of offspring.
#Test the goodness of fit.

data(fungus)
fungus_fit<-fit_dist_norm(fungus$Total_Offspring)
fungus_fit$fit_norm
fungus_fit$chi_norm
fungus_fit$data_norm

[Package ABCp2 version 1.2 Index]