clt.plot: Diagnose the Central Limit Theorem

In jhk0530/Rstat: Basic Statistical Methods in R

Description

Diagnose the Central Limit Theorem

Usage

clt.plot(dist, para, para2, ns = c(10, 30, 50), d = rep(0.5, 3), N = 10000, seed = 9857, sigknow = TRUE)

Arguments

dist	Name of population distribution ("exp","gamma","weibull","beta","norm", "t","chisq","f","pois","binom")
para	Parameter for the first population
para2	Parameter for the second population (if necessary)
ns	Sample size, Default: c(10, 30, 50)
d	Group width in histogram, Default: rep(0.5, 3)
N	Number of iterations, Default: 10000
seed	Seed value for generating random numbers, Default: 9857
sigknow	Logical value for known population variance, Default: TRUE

Value

None.

Examples

clt.plot("exp", para = 5, d = rep(0.4, 3))
clt.plot("bin", para = 0.1, ns = nv, d = c(1, 0.6, 0.5))

jhk0530/Rstat documentation built on Dec. 20, 2021, 11:11 p.m.