knitr::opts_chunk$set( collapse = TRUE, comment = "#>", dev = "ragg_png", fig.width = 7, fig.height = 4 )
suppressPackageStartupMessages({ library(ggplot2) library(ggpattern) })
For more info on these patterns see their {gridpattern}
documentation:
help("grid.pattern_wave", package = "gridpattern")
help("grid.pattern_crosshatch", package = "gridpattern")
help("grid.pattern_weave", package = "gridpattern")
| 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 range [0, 1] (snpc units) | | pattern_xoffset | Shift pattern along x axis | 0 | value in range [0, 1] (snpc units) | | pattern_yoffset | Shift pattern along y axis | 0 | value in range [0, 1] (snpc units) | | 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 and weave pattern documentation | | pattern_subtype | Pattern subtype | NA | See weave 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.
Standard data for all the example plots
df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2)) df
ggplot(df, aes(trt, outcome)) + geom_col(aes(fill=trt),colour='black') + theme_bw() + labs(title = "Plain ggplot2")
{ggpattern}
geomggpattern::geom_col_pattern()
instead of ggplot2::geom_col()
.pattern = 'stripe'
ggplot2
are usually too small to show off an example of
the pattern, so it will usually be necessary to increase the key size.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'))
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 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.
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'))
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 pattern documentation for more information.
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'))
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()
can be used to manually control how the variable
is mapped to the density.
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))
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'))
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'))
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