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