nboot_small {scpoisson}

Random sample generation function to generate sets of samples from theoretical Poisson distribution.

Description

This function returns a data frame with generated sets of samples and simulation index.

Usage

nboot_small(x, lambda, R)

Arguments

x

a numeric vector of sampled data points to compare with theoretical Poisson.

lambda

a numeric value for mean of theoretical Poisson.

R

a numeric value for mean of theoretical Poisson.

Details

This is a function used to simulate a given number sets of samples from a theoretical Poisson distribution that match input samples on sample size and sample mean (or theoretical Poisson parameter). Plotting these as envelopes in Q-Q plot shows the variability in shapes we can expect when sampling from the theoretical Poisson distribution.

Value

A data frame contains simulated data and corresponding simulation index. Random sample generation function to generate sets of samples from theoretical Poisson distribution.

nboot_small returns a data frame with generate sets of samples and simulation index.

This is a function used to simulate a given number sets of samples from a theoretical Poisson distribution that match input samples on sample size and sample mean (or theoretical Poisson parameter). Plotting these as envelopes in Q-Q plot shows the variability in shapes we can expect when sampling from the theoretical Poisson distribution.

a numeric vector of number of simulation sets that match input samples on sample size and sample mean (or theoretical Poisson parameter).