https://github.com/spsanderson/tidydensity

Create tidy probability/density tibbles and plots of randomly generated and empirical data.
https://github.com/spsanderson/tidydensity

bootstrap density distributions ggplot2 probability r r-language r-package r-stats simulation statistics tibble tidy

Last synced: 3 days ago
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Create tidy probability/density tibbles and plots of randomly generated and empirical data.

• Host: GitHub
• URL: https://github.com/spsanderson/tidydensity
• Owner: spsanderson
• License: other
• Created: 2022-01-14T20:05:36.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2024-10-31T12:05:39.000Z (about 2 months ago)
• Last Synced: 2024-12-04T07:36:21.999Z (18 days ago)
• Topics: bootstrap, density, distributions, ggplot2, probability, r, r-language, r-package, r-stats, simulation, statistics, tibble, tidy
• Language: R
• Homepage: https://www.spsanderson.com/TidyDensity
• Size: 280 MB
• Stars: 33
• Watchers: 3
• Forks: 1
• Open Issues: 3
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%",

  message = FALSE,

  warning = FALSE

)

```

# TidyDensity 

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/TidyDensity)](https://cran.r-project.org/package=TidyDensity)

![](https://cranlogs.r-pkg.org/badges/TidyDensity)

![](https://cranlogs.r-pkg.org/badges/grand-total/TidyDensity)

[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html##stable)

[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](https://makeapullrequest.com)

The goal of `{TidyDensity}` is to make working with random numbers from different

distributions easy. All `tidy_` distribution functions provide the following

components:

-   [`r_`]

-   [`d_`]

-   [`q_`]

-   [`p_`]

## Installation

You can install the released version of `{TidyDensity}` from [CRAN](https://CRAN.R-project.org) with:

``` r

install.packages("TidyDensity")

```

And the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("spsanderson/TidyDensity")

```

## Example

This is a basic example which shows you how to solve a common problem:

```{r example}

library(TidyDensity)

library(dplyr)

library(ggplot2)

tidy_normal()

```

An example plot of the `tidy_normal` data.

```{r plot_density}

tn <- tidy_normal(.n = 100, .num_sims = 6)

tidy_autoplot(tn, .plot_type = "density")

tidy_autoplot(tn, .plot_type = "quantile")

tidy_autoplot(tn, .plot_type = "probability")

tidy_autoplot(tn, .plot_type = "qq")

```

We can also take a look at the plots when the number of simulations is greater than

nine. This will automatically turn off the legend as it will become too noisy.

```{r more_than_nine_simulations}

tn <- tidy_normal(.n = 100, .num_sims = 20)

tidy_autoplot(tn, .plot_type = "density")

tidy_autoplot(tn, .plot_type = "quantile")

tidy_autoplot(tn, .plot_type = "probability")

tidy_autoplot(tn, .plot_type = "qq")

```