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Table of Contents

Overview

gridpattern provides grid.pattern() and patternGrob() functions to use with R’s grid graphics system. They fill in a user-specified boundary path with a user-specified pattern. These pattern grobs include enhanced versions of the patterns originally contained within Mike FC’s awesome ggpattern package as well as original “pch”, “polygon_tiling”, “regular_polygon”, “rose”, “text”, “wave”, and “weave” patterns.

{gridpattern} currently provides {grid} grob support for the following patterns:

  1. ambient: noise array patterns powered by the ambient package
  2. aRtsy: patterns powered by the aRtsy package
  3. circle: circle geometry patterns
  4. crosshatch: crosshatch geometry patterns
  5. fill: simple fill patterns
  6. gradient: gradient array/geometry patterns
  7. image: image array patterns
  8. magick: imagemagick array patterns
  9. none: draws nothing
  10. placeholder: placeholder image array patterns
  11. plasma: plasma array patterns
  12. pch: plotting character geometry patterns
  13. polygon_tiling: polygon tiling patterns
  14. regular_polygon: regular polygon geometry patterns
  15. rose: rose curve array/geometry patterns
  16. stripe: stripe geometry patterns
  17. text: text array/geometry patterns
  18. wave: wave geometry patterns
  19. weave: weave geometry patterns
  20. custom geometry-based patterns
  21. custom array-based patterns

Installation

To install the development version use the following command in R:

remotes::install_github("trevorld/gridpattern")

Examples

library("grid")
library("gridpattern")
x_hex <- 0.5 + 0.5 * cos(seq(2 * pi / 4, by = 2 * pi / 6, length.out = 6))
y_hex <- 0.5 + 0.5 * sin(seq(2 * pi / 4, by = 2 * pi / 6, length.out = 6))
grid.pattern_circle(x_hex, y_hex, density = 0.5, grid = "hex_circle",
                    fill = c("blue", "yellow", "red"))

The 'circle' pattern

grid.pattern_regular_polygon(x_hex, y_hex, shape = c("convex4", "star8", "circle"),
                             colour = "black", fill = c("blue", "yellow", "red"),
                             density = c(0.45, 0.42, 0.4), spacing = 0.08, angle = 0)

The 'regular_polygon' pattern

grid.pattern_regular_polygon(x_hex, y_hex, shape = "convex6", grid = "hex",
                             color = "transparent", fill = c("white", "grey", "black"),
                             density = 1.0, spacing = 0.1)

The 'regular_polygon' pattern used to create a hexagonal tiling

gp <- gpar(fill = c("yellow", "blue", "red"))
grid.pattern_polygon_tiling(x_hex, y_hex, type = "truncated_hexagonal",
                            spacing = 0.15, gp = gp)

The 'polygon_tiling' pattern used to create a truncated hexagonal tiling

blue <- grDevices::rgb(0.35, 0.70, 0.90)
yellow <- grDevices::rgb(0.95, 0.90, 0.25)
red <- grDevices::rgb(0.80, 0.40, 0.00)
green <- grDevices::rgb(0.00, 0.60, 0.50)
grid.rect(gp = gpar(fill = yellow, col = NA))
gp <- gpar(fill = red, col = "black")
grid.pattern_stripe(grid = "hex_circle", density = 0.25, spacing = 0.3,
                    angle = 0, gp = gp)
grid.pattern_stripe(grid = "hex_circle", density = 0.25, spacing = 0.3,
                    angle = -60, gp = gp)
grid.pattern_stripe(grid = "hex_circle", density = 0.25, spacing = 0.3,
                    angle = 60, gp = gp)
gp <- gpar(fill = blue, col = "black")
grid.pattern_regular_polygon(shape = "convex12", grid = "hex_circle", rot = 15,
                             density = 0.82, spacing = 0.3, angle = 0, gp = gp)
gp <- gpar(fill = green, col = "black")
scale <- star_scale(12, 30)
grid.pattern_regular_polygon(shape = "star12", grid = "hex_circle", rot = 15,
                             density = 0.82, spacing = 0.3, angle = 0, gp = gp,
                             scale = scale)

Using several patterns to create a rhombitrihexgonal tiling variation

gp <- gpar(fill = c("blue", "red", "yellow", "green"), col = "black")
grid.newpage()
grid.pattern_rose(x_hex, y_hex,
                  spacing = 0.18, density = 0.5, angle = 0,
                  frequency = c(2, 6/4, 5/4, 3/7), gp = gp)

The 'rose' pattern

playing_card_symbols <- c("\u2660", "\u2665", "\u2666", "\u2663")
grid.pattern_text(x_hex, y_hex,
                 shape = playing_card_symbols,
                 colour = c("black", "red", "red", "black"),
                 size = 24, spacing = 0.12, angle = 0)

The 'text' pattern with playing card suits

grid.pattern_wave(x_hex, y_hex, colour = "black", type = "sine",
                  fill = c("red", "blue"), density = 0.4,
                  spacing = 0.15, angle = 0,
                  amplitude = 0.05, frequency = 1 / 0.15)

The 'wave' pattern

grid.pattern_weave(x_hex, y_hex, type = "satin",
             colour = "black", fill = "lightblue", fill2 =  "yellow",
             density = 0.3)

Using the 'weave' pattern to make a 'satin' weave

Using these patterns with the “ggpattern” package

ggpattern automatically supports all patterns provided by gridpattern since ggpattern v0.2.0. Here is an example of using the “stripe” pattern:

library("ggpattern") # remotes::install_github("trevorld/ggpattern")
library("ggplot2", warn.conflicts = FALSE)
library("gridpattern")
df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))
ggplot(df, aes(trt, outcome)) +
    geom_col_pattern(aes(fill = trt), colour = 'black',
                     pattern = 'stripe',
                     pattern_fill = list(c("grey30" , "grey70", "white", "grey70")))

A bar chart using 'ggpattern' with builtin patterned fills

One can also create custom patterns for use with ggpattern. Here is an example of creating a “tiling3” pattern that creates three-color polygon tilings using the fill colour, the pattern_fill colour, and their “average” color.

tiling3_pattern <- function(params, boundary_df, aspect_ratio, legend = FALSE) {
    args <- as.list(params)
    args <- args[grep("^pattern_", names(args))]

    # hexagonal tiling using "regular_polygon" pattern
    args$pattern <- "polygon_tiling"

    # three-color tiling using `fill`, `pattern_fill` and their "average"
    avg_col <- gridpattern::mean_col(params$fill, params$pattern_fill)
    args$pattern_fill <- c(params$fill, avg_col, args$pattern_fill)

    args$x <- boundary_df$x
    args$y <- boundary_df$y
    args$id <- boundary_df$id
    args$prefix <- ""

    do.call(gridpattern::patternGrob, args)
}

options(ggpattern_geometry_funcs = list(tiling3 = tiling3_pattern))
df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))
ggplot(df, aes(trt, outcome)) +
    geom_col_pattern(aes(fill = trt, pattern_type = trt),
                     pattern = 'tiling3', pattern_angle = 45) +
    scale_pattern_type_manual(values = c("hexagonal", "tetrakis_square", "rhombille")) +
    theme(legend.key.size = unit(1.5, 'cm'))

A bar chart using 'ggpattern' with custom patterned fills

Using these patterns with the “ggplot2” package

Although use of the “ggpattern” package package is still highly recommended one can directly use pattern/gradient fills in base ggplot2 geoms since v3.5.0. patternFill() wraps grid::pattern() and patternGrob() and is one way to use gridpattern patterns directly with ggplot2:

library("ggplot2", warn.conflicts = FALSE)
library("gridpattern")
pal <- grDevices::palette()
herringbone <- patternFill("polygon_tiling", type = "herringbone", fill = pal[2])
truncated_hexagonal <- patternFill("polygon_tiling", type = "truncated_hexagonal", fill = pal[3])
pythagorean <- patternFill("polygon_tiling", type = "pythagorean", fill = pal[4])
df <- data.frame(trt = c("a", "b", "c"), outcome = c(2.3, 1.9, 3.2))
ggplot(df, aes(trt, outcome)) +
    geom_col(fill = list(herringbone, truncated_hexagonal, pythagorean))

A bar chart using 'ggplot2' with 'patternFill()' 'fill' values

Using these patterns with the “piecepackr” package

piecepackr allows the use of custom grob functions to completely customize the appearance of one’s game pieces. {piecepackr} comes with a variety of convenience functions such as pp_shape() to facilitate creating custom game pieces using custom grob functions. Here is an example of creating “patterned” checkers filled with uniform polygon tilings by using pp_shape() objects’ pattern() method powered by {gridpattern}:

library("grid")
library("gridpattern")
library("piecepackr")

tilings <- c("hexagonal", "snub_square", "pythagorean",
             "truncated_square", "triangular", "trihexagonal")
patternedCheckerGrobFn <- function(piece_side, suit, rank, cfg) {
    opt <- cfg$get_piece_opt(piece_side, suit, rank)
    shape <- pp_shape(opt$shape, opt$shape_t, opt$shape_r, opt$back)
    gp_pattern <- gpar(col=opt$suit_color, fill=c(opt$background_color, "white"))
    pattern_grob <- shape$pattern("polygon_tiling", type = tilings[suit],
                                  spacing = 0.3, name = "pattern",
                                  gp = gp_pattern, angle = 0)
    gp_border <- gpar(col=opt$border_color, fill=NA, lex=opt$border_lex)
    border_grob <- shape$shape(gp=gp_border, name = "border")
    grobTree(pattern_grob, border_grob)
}
checkers1 <- as.list(game_systems()$checkers1)
checkers1$grob_fn.bit <- patternedCheckerGrobFn
checkers1 <- pp_cfg(checkers1)

x1 <- c(1:3, 1:2, 1)
x2 <- c(6:8, 7:8, 8)
df <- tibble::tibble(piece_side = c("board_face", rep_len("bit_back", 24L)),
                     suit = c(6L, rep(c(1L, 3L, 4L, 5L), each = 6L)),
                     rank = 8L,
                     x = c(4.5, x1, rev(x1), x2, rev(x2)),
                     y = c(4.5, rep(c(1,1,1, 2,2, 3, 6, 7,7, 8,8,8), 2)))

pmap_piece(df, cfg=checkers1, default.units="in")

A board game diagram using 'piecepackr' with custom patterned game pieces

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