myx: Simulate normal distributions for the purpose of illustrating...

In prox9974/soc429Code: Convenience Functions for NCSU Sociology 429

Simulate normal distributions for the purpose of illustrating desirable properties of estimators

Description

Simulate normal distributions for the purpose of illustrating desirable properties of estimators

Usage

myx(
  N = 5,
  mean = 100,
  std = 15,
  seed = 12345,
  biased = FALSE,
  re = TRUE,
  ic = FALSE
)

Arguments

N	Number of samples
mean	Mean of population
std	Standard deviation of population
seed	Random number seed
biased	Generate a biased sampling distribution? True or False
re	Generate a relatively efficient sampling distribution? True or False
ic	Generate an inconsistent sampling distribution? True or False

Examples

g <- myx(N = 10, biased = TRUE)
suppressWarnings(print(g$g.pop))
g$g.sampdist
myx(biased = FALSE, re = TRUE)$g.sampdist +
ggplot2::ggtitle("Relatively Efficient (N = 10)")
myx(biased = FALSE, re = FALSE)$g.sampdist +
ggplot2::ggtitle("Relatively Inefficient (N = 10)")
g <- myx(N = 100, biased = FALSE)
g$g.pop
myx(N = 5, biased = TRUE)$g.sampdist +
ggplot2::ggtitle("Cindy: Narrower, but biased so not consistent", "Small N")
myx(N = 100, biased = TRUE)$g.sampdist +
ggplot2::ggtitle("Cindy: Narrower, but biased so not consistent", "Large N")

prox9974/soc429Code documentation built on June 16, 2022, 3:41 a.m.