tinyplot

https://grantmcdermott.com/tinyplot/
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tinyplot is a lightweight R package that extends base R graphics with automatic grouping, legends,...
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### Install tinyplot from CRAN

Source: https://grantmcdermott.com/tinyplot

Install the stable version of the tinyplot package from CRAN.

```r
install.packages("tinyplot")
```

--------------------------------

### Install tinyplot from R-universe

Source: https://grantmcdermott.com/tinyplot

Install the latest development version of the tinyplot package from R-universe.

```r
install.packages("tinyplot", repos = "https://grantmcdermott.r-universe.dev")
```

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### Apply Built-in Theme for Plot Customization

Source: https://grantmcdermott.com/tinyplot

Apply a 'clean2' theme to customize plot aesthetics. Themes are persistent and affect subsequent plots.

```r
tinytheme("clean2")

plt(Sepal.Length ~ Petal.Length | Species, data = iris)
plt_add(type = "lm")
```

--------------------------------

### Load tinyplot library

Source: https://grantmcdermott.com/tinyplot

Load the tinyplot package into the R session to use its functions.

```r
library(tinyplot)
```

--------------------------------

### Reset Theme to Default

Source: https://grantmcdermott.com/tinyplot

Reset the applied tinyplot theme back to the default settings.

```r
# reset the theme 
tinytheme()
```

--------------------------------

### Shorthand Alias with Plot Enhancements

Source: https://grantmcdermott.com/tinyplot

Utilize the `plt()` shorthand alias for `tinyplot()` and add an 'lm' layer with aesthetic tweaks like palette, point character, grid, and frame.

```r
plt(
  Sepal.Length ~ Petal.Length | Species, 
  data = iris,
  palette = "dark", pch = 16,
  grid = TRUE, frame = FALSE
)
plt_add(type = "lm")
```

--------------------------------

### Grouped Density Plot with Customization

Source: https://grantmcdermott.com/tinyplot

Generate a grouped density plot using the `plt()` function with specified data, type, fill aesthetic, and plot titles.

```r
plt(
  ~ Petal.Length | Species,
  data = iris,
  type = "density",
  fill = "by",
  main = "Distribution of petal lengths",
  sub = "Grouped by species"
)
```

--------------------------------

### Grouped Scatterplot with Automatic Legend

Source: https://grantmcdermott.com/tinyplot

Create a grouped scatterplot with an automatic legend using either the formula or atomic interface. The formula interface is generally preferred for its conciseness.

```r
# with(iris, tinyplot(x = Petal.Length, y = Sepal.Length, by = Species)) # atomic
tinyplot(Sepal.Length ~ Petal.Length | Species, data = iris)             # formula
```

--------------------------------

### Faceted Scatterplot with Gradient Legend

Source: https://grantmcdermott.com/tinyplot

Create a faceted scatterplot with a continuous gradient legend, specifying facet layout, point character, and plot titles.

```r
plt(
  Sepal.Length ~ Petal.Length | Sepal.Length, data = iris,
  facet = ~Species, pch = 19,
  main = "Faceted flowers", sub = "Brought to you by tinyplot"
)
```
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