nboot_small: Random sample generation function to generate sets of samples...

In scpoisson: Single Cell Poisson Probability Paradigm

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).

scpoisson documentation built on Aug. 17, 2022, 9:05 a.m.