expt.simu.plot: Probability Distribution Plot of Simulated General...

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

Description

Probability plot of general simulated experiments

Usage

expt.simu.plot(x, n, times, prob = NULL, qqplot = FALSE, col = "black", type = NULL,
main = NULL, sub = NULL)

Arguments

x	vector, possible outcomes in one trial of experiment
n	number of trials in one simulation
times	number of simulations
prob	probability assigned to each possible outcome
qqplot	an argument to output Q-Q plot or not, can be TRUE or FALSE
col	color of the plot
type	type of plot
main	an overall title for the plot
sub	a sub title for the plot

Details

The default probabilty equals to 1/n. All the assigned probabilites must between 0 and 1.

Value

Plot of mean value and corresponding probabilities for all simulated outcomes.

Examples

expt.simu.plot(x = c(1:3), n = 4, times = 1000, col = 'red')
expt.simu.plot(c(1:3), 4, 1000, prob = c(0.3, 0.1, 0.6), type = 'p')

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