---
title: "Aesthetic specifications"
output: rmarkdown::html_vignette
description: |
  Customising how aesthetic specifications are represented on your plot.
vignette: >
  %\VignetteIndexEntry{Aesthetic specifications}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r, include = FALSE}
library(ggplot2)
knitr::opts_chunk$set(fig.dpi = 96, collapse = TRUE, comment = "#>")
```

This vignette summarises the various formats that grid drawing functions take.  Most of this information is available scattered throughout the R documentation.  This appendix brings it all together in one place. 

## Colour and fill

Almost every geom has either colour, fill, or both. Colours and fills can be specified in the following ways:

*   A __name__, e.g., `"red"`. R has `r length(colours())` built-in named
    colours, which can be listed with `colours()`.
    
*   An __rgb specification__, with a string of the form `"#RRGGBB"` where each of 
    the pairs `RR`, `GG`, `BB` consists of two hexadecimal digits giving a value 
    in the range `00` to `FF`
    
    You can optionally make the colour transparent by using the form 
    `"#RRGGBBAA"`.

*   An __NA__, for a completely transparent colour.

*   The [munsell](https://github.com/cwickham/munsell) package, by Charlotte 
    Wickham, makes it easy to choose specific colours using a system designed by 
    Albert H. Munsell. If you invest a little in learning the system, it provides
    a convenient way of specifying aesthetically pleasing colours.
    
    ```{r}
    munsell::mnsl("5PB 5/10")
    ```

## Lines

As well as `colour`, the appearance of a line is affected by `linewidth`, `linetype`, `linejoin` and `lineend`.

### Line type {#sec:line-type-spec}

Line types can be specified with:

*   An __integer__ or __name__: 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 
    4 = dotdash, 5 = longdash, 6 = twodash, as shown below:

    ```{r}
    lty <- c("solid", "dashed", "dotted", "dotdash", "longdash", "twodash")
    linetypes <- data.frame(
      y = seq_along(lty),
      lty = lty
    ) 
    ggplot(linetypes, aes(0, y)) + 
      geom_segment(aes(xend = 5, yend = y, linetype = lty)) + 
      scale_linetype_identity() + 
      geom_text(aes(label = lty), hjust = 0, nudge_y = 0.2) +
      scale_x_continuous(NULL, breaks = NULL) + 
      scale_y_reverse(NULL, breaks = NULL)
    ```

*   The lengths of on/off stretches of line. This is done with a string 
    containing 2, 4, 6, or 8 hexadecimal digits which give the lengths of
    consecutive lengths. For example, the string `"33"` specifies three units 
    on followed by three off and `"3313"` specifies three units on followed by 
    three off followed by one on and finally three off. 
    
    ```{r}
    lty <- c("11", "18", "1f", "81", "88", "8f", "f1", "f8", "ff")
    linetypes <- data.frame(
      y = seq_along(lty),
      lty = lty
    ) 
    ggplot(linetypes, aes(0, y)) + 
      geom_segment(aes(xend = 5, yend = y, linetype = lty)) + 
      scale_linetype_identity() + 
      geom_text(aes(label = lty), hjust = 0, nudge_y = 0.2) +
      scale_x_continuous(NULL, breaks = NULL) + 
      scale_y_reverse(NULL, breaks = NULL)
    ```
    
    The five standard dash-dot line types described above correspond to 44, 13, 
    1343, 73, and 2262.

### Linewidth

Due to a historical error, the unit of linewidth is roughly 0.75 mm. Making it 
exactly 1 mm would change a very large number of existing plots, so we're stuck 
with this mistake.

### Line end/join paramters

*   The appearance of the line end is controlled by the `lineend` paramter,
    and can be one of "round", "butt" (the default), or "square".

    ```{r, out.width = "30%", fig.show = "hold"}
    df <- data.frame(x = 1:3, y = c(4, 1, 9))
    base <- ggplot(df, aes(x, y)) + xlim(0.5, 3.5) + ylim(0, 10)
    base + 
      geom_path(linewidth = 10) + 
      geom_path(linewidth = 1, colour = "red")
    
    base + 
      geom_path(linewidth = 10, lineend = "round") + 
      geom_path(linewidth = 1, colour = "red")
    
    base + 
      geom_path(linewidth = 10, lineend = "square") + 
      geom_path(linewidth = 1, colour = "red")
    ```

*   The appearance of line joins is controlled by `linejoin` and can be one of 
    "round" (the default), "mitre", or "bevel".

    ```{r, out.width = "30%", fig.show = "hold"}
    df <- data.frame(x = 1:3, y = c(9, 1, 9))
    base <- ggplot(df, aes(x, y)) + ylim(0, 10)
    base + 
      geom_path(linewidth = 10) + 
      geom_path(linewidth = 1, colour = "red")
    
    base + 
      geom_path(linewidth = 10, linejoin = "mitre") + 
      geom_path(linewidth = 1, colour = "red")
    
    base + 
      geom_path(linewidth = 10, linejoin = "bevel") + 
      geom_path(linewidth = 1, colour = "red")
    ```

Mitre joins are automatically converted to bevel joins whenever the angle is too small (which would create a very long bevel). This is controlled by the `linemitre` parameter which specifies the maximum ratio between the line width and the length of the mitre.

## Polygons

The border of the polygon is controlled by the `colour`, `linetype`, and `linewidth` aesthetics as described above. The inside is controlled by `fill`.

## Point

### Shape {#sec:shape-spec}

Shapes take five types of values:

*   An __integer__ in $[0, 25]$:

    ```{r}
    shapes <- data.frame(
      shape = c(0:19, 22, 21, 24, 23, 20),
      x = 0:24 %/% 5,
      y = -(0:24 %% 5)
    )
    ggplot(shapes, aes(x, y)) + 
      geom_point(aes(shape = shape), size = 5, fill = "red") +
      geom_text(aes(label = shape), hjust = 0, nudge_x = 0.15) +
      scale_shape_identity() +
      expand_limits(x = 4.1) +
      theme_void()
    ```
   
*   The __name__ of the shape:
     
    ```{r out.width = "90%", fig.asp = 0.4, fig.width = 8}
    shape_names <- c(
      "circle", paste("circle", c("open", "filled", "cross", "plus", "small")), "bullet",
      "square", paste("square", c("open", "filled", "cross", "plus", "triangle")),
      "diamond", paste("diamond", c("open", "filled", "plus")),
      "triangle", paste("triangle", c("open", "filled", "square")),
      paste("triangle down", c("open", "filled")),
      "plus", "cross", "asterisk"
    )
    
    shapes <- data.frame(
      shape_names = shape_names,
      x = c(1:7, 1:6, 1:3, 5, 1:3, 6, 2:3, 1:3),
      y = -rep(1:6, c(7, 6, 4, 4, 2, 3))
    )
    
    ggplot(shapes, aes(x, y)) +
      geom_point(aes(shape = shape_names), fill = "red", size = 5) +
      geom_text(aes(label = shape_names), nudge_y = -0.3, size = 3.5) +
      scale_shape_identity() +
      theme_void()
    ```

*   A __single character__, to use that character as a plotting symbol.

*   A `.` to draw the smallest rectangle that is visible, usualy 1 pixel.
   
*   An `NA`, to draw nothing.

### Colour and fill

Note that shapes 21-24 have both stroke `colour` and a `fill`. The size of the filled part is controlled by `size`, the size of the stroke is controlled by `stroke`. Each is measured in mm, and the total size of the point is the sum of the two. Note that the size is constant along the diagonal in the following figure.

```{r}
sizes <- expand.grid(size = (0:3) * 2, stroke = (0:3) * 2)
ggplot(sizes, aes(size, stroke, size = size, stroke = stroke)) + 
  geom_abline(slope = -1, intercept = 6, colour = "white", linewidth = 6) + 
  geom_point(shape = 21, fill = "red") +
  scale_size_identity()
```

## Text

### Font family

There are only three fonts that are guaranteed to work everywhere: "sans" (the default), "serif", or "mono":

```{r}
df <- data.frame(x = 1, y = 3:1, family = c("sans", "serif", "mono"))
ggplot(df, aes(x, y)) + 
  geom_text(aes(label = family, family = family))
```

It's trickier to include a system font on a plot because text drawing is done differently by each graphics device (GD). There are five GDs in common use (`png()`, `pdf()`, on screen devices for Windows, Mac and Linux), so to have a font work everywhere you need to configure five devices in five different ways. Two packages simplify the quandary a bit: 

* `showtext` makes GD-independent plots by rendering all text as polygons. 

* `extrafont` converts fonts to a standard format that all devices can use. 

Both approaches have pros and cons, so you will to need to try both of them and see which works best for your needs.

### Font face

```{r}
df <- data.frame(x = 1:4, fontface = c("plain", "bold", "italic", "bold.italic"))
ggplot(df, aes(1, x)) + 
  geom_text(aes(label = fontface, fontface = fontface))
```

### Font size

The `size` of text is measured in mm. This is unusual, but makes the size of text consistent with the size of lines and points. Typically you specify font size using points (or pt for short), where 1 pt = 0.35mm. ggplot2 provides this conversion factor in the variable `.pt`, so if you want to draw 12pt text, set `size = 12 / .pt`.

### Justification

Horizontal and vertical justification have the same parameterisation, either a string ("top", "middle", "bottom", "left", "center", "right") or a number between 0 and 1:

* top = 1, middle = 0.5, bottom = 0
* left = 0, center = 0.5, right = 1

```{r}
just <- expand.grid(hjust = c(0, 0.5, 1), vjust = c(0, 0.5, 1))
just$label <- paste0(just$hjust, ", ", just$vjust)

ggplot(just, aes(hjust, vjust)) +
  geom_point(colour = "grey70", size = 5) + 
  geom_text(aes(label = label, hjust = hjust, vjust = vjust))
```

Note that you can use numbers outside the range (0, 1), but it's not recommended.