FDistUlt: Fits a set of observations (random variable) to test whether...

In FitUltD: Fit Univariate Mixed and Usual Distributions

Description

Fits a set of observations (random variable) to test whether is drawn from a certain distribution

Usage

FDistUlt(X, n.obs = length(X), ref = "OP", crt = 1, plot = FALSE,
  subplot = FALSE, p.val_min = 0.05)

Arguments

X	A random sample to be fitted.
n.obs	A positive integer, is the length of the random sample to be generated
ref	Aumber of clusters to use by the kmeans function to split the distribution, if isn't a number, uses mclust classification by default.
crt	Criteria to be given to FDist() function
plot	FALSE. If TRUE, generates a plot of the density function.
subplot	FALSE. If TRUE, generates the plot of the mixed density function's partitions.
p.val_min	Minimum p.value to be given to non-reject the null hypothesis.

Value

A list with the density functions, a random sample, a data frame with the KS and AD p.values results, the corresponding plots an the random numbers generator functions

Examples

set.seed(31109)
X<-c(rnorm(193,189,12),rweibull(182,401,87),rgamma(190,40,19))

A_X<-FDistUlt(X,plot=TRUE,subplot=TRUE)

A_X<-FDistUlt(X,plot=TRUE,subplot=TRUE,p.val_min=.005)

# Functions generated
A_X[[1]][[1]]()
# Random sample
A_X[[2]]

#Distributions
A_X[[3]]

# Plots
par(mfrow=c(1,2))
A_X[[4]][[1]]
A_X[[4]][[2]]

# More functions
A_X[[5]][[1]]()

FitUltD documentation built on Sept. 11, 2019, 5:07 p.m.