beta.simu.plot: Histogram and Q-Q plot of simulated Beta distribution

In clttools: Central Limit Theorem Experiments (Theoretical and Simulation)

Description

Histogram and Q-Q plot of simulated Beta distribution

Usage

beta.simu.plot(n, shape1, shape2, times, ylim = NULL, qqplot = FALSE)

Arguments

n	number of trials in one simulation
shape1	non-negative parameters of the Beta distribution
shape2	non-negative parameters of the Beta distribution
times	number of simulations
ylim	range of y-axis
qqplot	an argument to output Q-Q plot or not, can be TRUE or FALSE

Value

Histogram and Q-Q plot of simulated Beta distribution, red curve represents theoretical density

Examples

beta.simu.plot(n = 5, shape1 = 3, shape2 = 1, times = 100)

Example output

clttools documentation built on May 2, 2019, 9:17 a.m.