samplezoo

Generate Samples with a Variety of Probability Distributions

https://github.com/nvietto/samplezoo

Science Score: 13.0%

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Keywords

probability-distribution r r-package rng simulation statistics
Last synced: 6 months ago · JSON representation

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Generate Samples with a Variety of Probability Distributions

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probability-distribution r r-package rng simulation statistics
Created over 1 year ago · Last pushed about 1 year ago
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README.md

samplezoo

R-CMD-check CRAN
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The {samplezoo} package simplifies the generation of samples from various probability distributions, enabling users to quickly create datasets for demonstrations, troubleshooting, or teaching. By prioritizing simplicity and speed over the customization of sample parameters, {samplezoo} is ideal for beginners or anyone looking to save time when working with data.

Installation

{samplezoo} is available on CRAN. Install using:

r install.packages("samplezoo")

You can install the development version of samplezoo from GitHub with:

``` r

install.packages("pak")

pak::pak("nvietto/samplezoo") ```

Example

Generating a dataset with various probability distributions typically looks like this:

``` r numericdata <- data.frame( norm = rnorm(n = 100, mean = 50, sd = 15), norm2 = rnorm(n = 100, mean = 60, sd = 10), norm3 = rnorm(n = 100, mean = 40, sd = 20), bern = rbinom(n = 100, size = 1, prob = 0.50), neg = rnbinom(n = 100, size = 1, prob = 0.50), pois = rpois(n = 100, lambda = 3), exp = rexp(n = 100, rate = 0.10), unif = runif(n = 100, min = 0, max = 1), beta = rbeta(n = 100, shape1 = 2, shape2 = 5), gamma = rgamma(n = 100, shape = 2, scale = 2), chisq = rchisq(n = 100, df = 2), tdist = rt(n = 100, df = 10), fdist =rf(n = 100, df1 = 10, df2 = 10) )

numericdata <- round(numericdata, 2)

head(numeric_data) ```

r norm norm_2 norm_3 bern neg pois exp unif beta gamma chi_sq t_dist f_dist 1 63.81 57.53 7.04 0 2 4 0.75 0.96 0.05 3.12 2.18 1.60 2.24 2 66.55 55.87 32.81 1 0 4 0.62 0.63 0.52 5.61 4.85 0.62 2.51 3 53.37 55.03 54.22 1 8 2 9.68 0.17 0.26 3.74 0.14 0.12 1.06 4 57.02 65.00 29.82 0 0 3 46.11 0.44 0.28 1.72 1.82 -0.19 0.97 5 57.61 76.56 39.52 1 0 2 11.92 0.51 0.27 7.96 0.37 -0.05 2.06 6 52.06 72.36 84.90 0 1 3 2.74 0.19 0.02 2.42 9.40 -0.02 0.65

With {samplezoo}, you can use one line of code:

``` r library(samplezoo)

small_data <- samplezoo("small")

smalldata <- round(smalldata, 2)

head(small_data) ```

r norm norm_2 norm_3 bern neg pois exp unif beta gamma chi_sq t_dist f_dist 1 59.92 79.47 22.58 0 0 5 5.40 0.97 0.62 10.03 8.26 0.40 1.66 2 51.84 59.95 24.17 0 0 6 0.85 0.56 0.07 0.83 8.05 0.30 1.34 3 32.53 57.29 54.40 1 2 1 1.51 0.33 0.21 3.99 7.48 -0.86 0.53 4 69.13 52.97 44.06 1 0 4 10.04 0.94 0.17 1.45 10.28 1.31 2.33 5 47.54 78.79 51.02 1 1 4 3.34 0.53 0.50 1.44 9.47 1.41 1.76 6 59.90 53.15 49.71 1 0 2 20.85 0.93 0.36 8.23 2.97 -1.55 0.80

Owner

  • Name: Nicholas Vietto
  • Login: nvietto
  • Kind: user

PhD Student

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Last synced: 6 months ago

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  • nvietto (6)
  • Beliavsky (1)
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  • Total packages: 1
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    • cran 172 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
cran.r-project.org: samplezoo

Generate Samples with a Variety of Probability Distributions

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 172 Last month
Rankings
Dependent packages count: 27.7%
Dependent repos count: 34.1%
Average: 49.6%
Downloads: 87.0%
Maintainers (1)
Last synced: 7 months ago

Dependencies

.github/workflows/pkgdown.yaml actions
  • JamesIves/github-pages-deploy-action v4.5.0 composite
  • actions/checkout v4 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION cran