--- title: "Patterns 'stripe', 'wave', 'crosshatch', 'weave' - Parameters and Examples" output: rmarkdown::html_vignette: toc: true vignette: > %\VignetteIndexEntry{Patterns 'stripe', 'wave', 'crosshatch', 'weave' - Parameters and Examples} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>", dev = "ragg_png", fig.width = 7, fig.height = 4 ) ``` ```{r setup} suppressPackageStartupMessages({ library(ggplot2) library(ggpattern) }) ``` ## Introduction to the 'stripe', 'wave', 'crosshatch', and 'weave' patterns * The 'stripe' pattern draws a set of (horizontal) **straight** lines. * The 'wave' pattern draws a set of (horizontal) **wavy** lines. * The 'crosshatch' pattern draws a set of vertical lines on top of a set of horizontal lines. * The 'weave' pattern draws a set of vertical lines interlaced with a set of horizontal lines. * For more info on these patterns see their `{gridpattern}` documentation: * [`help("grid.pattern_stripe", package = "gridpattern")`](https://trevorldavis.com/R/gridpattern/dev/reference/grid.pattern_stripe.html) * [`help("grid.pattern_wave", package = "gridpattern")`](https://trevorldavis.com/R/gridpattern/dev/reference/grid.pattern_wave.html) * [`help("grid.pattern_crosshatch", package = "gridpattern")`](https://trevorldavis.com/R/gridpattern/dev/reference/grid.pattern_crosshatch.html) * [`help("grid.pattern_weave", package = "gridpattern")`](https://trevorldavis.com/R/gridpattern/dev/reference/grid.pattern_weave.html) ## Pattern Parameters | aesthetic | description | default | possible values | |--------------------------|-----------------------------------------------|-----------|-----------------------------------| | pattern\_colour | Stroke colour | 'grey20' | colour | | pattern\_fill | Fill colour | 'grey80' | colour | | pattern\_angle | Rotation angle | 30 | angle in degrees | | pattern\_density | Approx. fraction of area the pattern fills | 0.2 | value in range [0, 1] (fraction) | | pattern\_spacing | Spacing between repetitions of pattern | 0.05 | value in `pattern_units` grid units | | pattern\_xoffset | Shift pattern along x axis | 0 | value in `pattern_units` grid units | | pattern\_yoffset | Shift pattern along y axis | 0 | value in `pattern_units` grid units | | pattern\_units | Pattern grid unit | 'snpc' | `grid::unit()` unit i.e. 'snpc', 'cm', and 'inches' | | pattern\_alpha | Alpha | NA | value in range [0, 1] or NA | | pattern\_linetype | Stroke linetype | 1 | linetype | | pattern\_size | Stroke linewidth | 1 | linewidth | | pattern\_type | Pattern type | NA | See [wave](https://trevorldavis.com/R/gridpattern/dev/reference/grid.pattern\_wave.html) and [weave](https://trevorldavis.com/R/gridpattern/dev/reference/pattern\_weave.html) pattern documentation | | pattern\_subtype | Pattern subtype | NA | See [weave](https://trevorldavis.com/R/gridpattern/dev/reference/pattern\_weave.html) pattern documentation | | pattern\_frequency | Frequency | 0.1 | Frequency of waves in 'wave' pattern | There are also a number of parameters for extra control of legend sizing and aspect ratio adjustments. See the 'Pattern Parameters - Common' for more information. ## Data Standard data for all the example plots ```{r} df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2)) df ``` ## Vanilla ggplot2 ```{r} ggplot(df, aes(trt, outcome)) + geom_col(aes(fill=trt),colour='black') + theme_bw() + labs(title = "Plain ggplot2") ``` ## Use the `{ggpattern}` geom * Use `ggpattern::geom_col_pattern()` instead of `ggplot2::geom_col()`. * Set `pattern = 'stripe'` * Default legends in `ggplot2` are usually too small to show off an example of the pattern, so it will usually be necessary to increase the key size. ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern(aes(fill=trt),colour='black', pattern='stripe') + theme_bw() + labs(title = "ggpattern") + theme(legend.key.size = unit(1.5, 'cm')) ``` ## Mixing patterns * Often we'll want to mix patterns. To get the legend right we'll often want to set them with a pattern scale function like 'pattern_scale_manual()' instead of simply setting them with the 'pattern' aesthetic. * Here we'll use the 'stripe' pattern and 'wave' pattern. * The 'wave' pattern supports two subtypes: 'triangle' waves (default) have a zig-zag appearance whereas 'sine' waves have a curvy appearance. ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern(aes(fill=trt, pattern=trt, pattern_type=trt),colour='black') + theme_bw() + labs(title = "Use 'stripe' and 'wave' patterns") + theme(legend.key.size = unit(1.5, 'cm')) + scale_pattern_manual(values=c('stripe', 'wave', 'wave')) + scale_pattern_type_manual(values=c(NA, 'triangle', 'sine')) ``` ## The Density Aesthetic The aesthetic `pattern_density` roughly corresponds to the fraction of the filled area which should be covered by the pattern. In the following plot the density of striping is increased to 50% of the fill area. ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(fill=trt, pattern=trt), colour = 'black', pattern_density = 0.5 ) + theme_bw() + labs(title = "Fixed density of 0.5 (50% of the fill area)") + scale_pattern_manual(values=c('stripe', 'crosshatch', 'weave')) + theme(legend.key.size = unit(1.5, 'cm')) ``` ## Weave types The 'weave' pattern supports a rich set of weave types and subtypes including irregular 'matt', 'twill' (including 'herringbone' and 'zigzag' variations), and 'satin' weaves . See the [weave](https://trevorldavis.com/R/gridpattern/dev/reference/pattern_weave.html) pattern documentation for more information. ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(pattern_fill2=trt, pattern_type=trt), pattern = 'weave', colour = 'black', pattern_density = 1.0, pattern_fill = 'grey', pattern_key_scale_factor = 0.5, ) + theme_bw() + labs(title = "Some 'weave' types") + scale_pattern_type_manual(values=c('plain', 'twill', 'satin')) + theme(legend.key.size = unit(1.5, 'cm')) ``` ## The Density Aesthetic as a Mapped Aesthetic ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(fill = trt, pattern_density = trt), colour = 'black', pattern = 'stripe' ) + theme_bw() + labs(title = "Aesthetic Mapping of 'trt' to Density") + theme(legend.key.size = unit(1.5, 'cm')) ``` ## The Density Aesthetic as a Mapped Aesthetic with Manual Scale `scale_pattern_density_manual()` can be used to manually control how the variable is mapped to the density. ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(fill = trt, pattern_density = trt), colour = 'black', pattern = 'stripe' ) + theme_bw() + labs(title = "Aesthetic Mapping of 'trt' to Density") + theme(legend.key.size = unit(1.5, 'cm')) + scale_pattern_density_manual(values = c(a = 0.1, b=0.3, c=0.5)) ``` ## The Spacing Aesthetic as a Mapped Aesthetic ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(fill = trt, pattern_spacing = trt), colour = 'black', pattern = 'stripe' ) + theme_bw() + labs(title = "Aesthetic Mapping of 'trt' to Spacing") + theme(legend.key.size = unit(1.5, 'cm')) ``` ## The Fill Aesthetic as a Mapped Aesthetic ```{r} ggplot(df, aes(trt, outcome)) + geom_col_pattern( aes(fill = trt, pattern_fill = trt), colour = 'black', pattern = 'stripe' ) + theme_bw() + labs(title = "Aesthetic Mapping of 'trt' to Pattern Fill") + scale_pattern_fill_viridis_d() + theme(legend.key.size = unit(1.5, 'cm')) ```