samplezoo: Generate Samples with a Variety of Probability Distributions

In samplezoo: Generate Samples with a Variety of Probability Distributions

Generate Samples with a Variety of Probability Distributions

Description

Generate Samples with a Variety of Probability Distributions

Usage

samplezoo(name)

Arguments

name	A character string specifying the dataset size. The three dataset sizes are: small: Generates a data frame with 100 samples per distribution. medium: Generates a data frame with 1,000 samples per distribution. large: Generates a data frame with 10,000 samples per distribution.

Details

The distributions included in each data frame are:

• norm: Normal distribution with mean and standard deviation parameters.

• norm_2: Slight variation of the normal distribution.

• norm_3: Another slight variation of the normal distribution.

• bern: Bernoulli distribution.

• neg: Negative binomial distribution.

• pois: Poisson distribution.

• exp: Exponential distribution.

• unif: Uniform distribution.

• beta: Beta distribution.

• gamma: Gamma distribution.

• chi_sq: Chi-squared distribution.

• t_dist: Student's t-distribution.

• f_dist: F-distribution.

Value

A dataset containing variables with common distributions.

Examples

small_data <- samplezoo("small")
medium_data <- samplezoo("medium")
large_data <- samplezoo("large")

samplezoo documentation built on April 4, 2025, 1:16 a.m.