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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: 9 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 1 month ago)
- Last Synced: 2024-11-23T09:12:53.350Z (20 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
- jimsghstars - spsanderson/TidyDensity - Create tidy probability/density tibbles and plots of randomly generated and empirical data. (R)
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")
```