Fit distribution to parameter — fit

This function fits statistical distributions to a parameter.

Usage

fit_dist(df, param, dist = c("norm", "beta", "gamma", "lnorm"))

Arguments

df: a dataframe.
param: character. Name of variable of the dataframe on which to fit the distributions.
dist: character or vector of character. Determine which distribution to fit on the density plot.

Value

A list with two arguments

Details

The available distributions are: "norm" (normal), "beta", "gamma", "lnorm" (lognormal). The arguments of the lists are "AIC" which contains the Akaike Information Criteria for each fitted distribution and "Dist_parameters" which contains the parameters of the fitted distributions.

Examples

# Fitting normal and beta distribution to the "u_pfs" variable of the example dataframe.
data(df_pa)
fit_dist(df = df_pa,
         param = "u_pfs",
         dist = c("norm", "beta"))
#> $Statistical_fit
#>   Distribution    AIC    BIC Kolmorogov-Smirnov
#> 1         norm -24724 -24710              0.026
#> 2         beta -24980 -24966              0.008
#> 
#> $Dist_parameters
#>   Distribution Name_param_1 Value_param_1 Name_param_2 Value_param_2
#> 1         norm         mean          0.75           sd          0.07
#> 2         beta       shape1          27.7       shape2          9.23
#>