---
title: "Getting Started with TidyDensity"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Getting Started with TidyDensity}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",  
  fig.width = 8,
  fig.height = 4.5,
  fig.align = 'center',
  out.width = '95%',
  dpi = 100,
  message = FALSE,
  warning = FALSE
)
```

```{r setup}
library(TidyDensity)
```

## Example

This is a basic example which shows you how easy it is to generate data with `{TidyDensity}`:

```{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")
```

.
