-
Notifications
You must be signed in to change notification settings - Fork 1
/
README.Rmd
85 lines (64 loc) · 2.28 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%",
message = FALSE,
warning = FALSE
)
```
# TidyDensity <img src="man/figures/logo.png" width="147" height="170" align="right" />
<!-- badges: start -->
[![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)
<!-- badges: end -->
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")
```