random_plot: Plot Generator for Random Distributions

In chacepaulson/cp.package: Random Sample and Distribution Generator

Description

Plot Generator for Random Distributions

Usage

random_plot(
  x,
  n = 1,
  seed = FALSE,
  seed_n = 1,
  mean = 10,
  sd = 2,
  df = 2,
  df1 = 1,
  df2 = 10,
  size = 100,
  prob = 0.5,
  bins = 30
)

Arguments

x	Name of distribution type
n	Number of observations
seed	Logical operator, TRUE if setting seed (default to FALSE)
seed_n	number for set seed (default to 1)
mean	For normal distribution, mean value (default to 10)
sd	For normal distribution, standard deviation value (default to 2)
df	For t distribution, degrees of freedom (default to 2)
df1	For F distribution, numerator degrees of freedom (default to 1)
df2	For F distribution, denominator degrees of freedom (default to 10)
size	For binomial distribution, number of trials (default to 100)
prob	For binomial distribution, probability of success of each trial (default to 0.5)
bins	binwidth of graph (default to 30)

Value

a plot from randomly generated numbers

Examples

random_plot("normal", n = 1000, mean = 10, sd = 1, bins = 20)

chacepaulson/cp.package documentation built on Feb. 26, 2020, 12:48 a.m.