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ggforce (version 0.4.1)

ggforce-package: ggforce: Accelerating 'ggplot2'

Description

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The aim of 'ggplot2' is to aid in visual data investigations. This focus has led to a lack of facilities for composing specialised plots. 'ggforce' aims to be a collection of mainly new stats and geoms that fills this gap. All additional functionality is aimed to come through the official extension system so using 'ggforce' should be a stable experience.

Arguments

Author

Maintainer: Thomas Lin Pedersen thomasp85@gmail.com (ORCID)

Other contributors:

  • RStudio [copyright holder]

See Also

Examples

Run this code
rocketData <- data.frame(
  x = c(1, 1, 2, 2),
  y = c(1, 2, 2, 3)
)
rocketData <- do.call(rbind, lapply(seq_len(500) - 1, function(i) {
  rocketData$y <- rocketData$y - c(0, i / 500)
  rocketData$group <- i + 1
  rocketData
}))
rocketData2 <- data.frame(
  x = c(2, 2.25, 2),
  y = c(2, 2.5, 3)
)
rocketData2 <- do.call(rbind, lapply(seq_len(500) - 1, function(i) {
  rocketData2$x[2] <- rocketData2$x[2] - i * 0.25 / 500
  rocketData2$group <- i + 1 + 500
  rocketData2
}))

ggplot() + geom_link(aes(
  x = 2, y = 2, xend = 3, yend = 3, alpha = after_stat(index),
  size = after_stat(index)
), colour = 'goldenrod', n = 500) +
  geom_bezier(aes(x = x, y = y, group = group, colour = after_stat(index)),
    data = rocketData
  ) +
  geom_bezier(aes(x = y, y = x, group = group, colour = after_stat(index)),
    data = rocketData
  ) +
  geom_bezier(aes(x = x, y = y, group = group, colour = 1),
    data = rocketData2
  ) +
  geom_bezier(aes(x = y, y = x, group = group, colour = 1),
    data = rocketData2
  ) +
  geom_text(aes(x = 1.65, y = 1.65, label = 'ggplot2', angle = 45),
    colour = 'white', size = 15
  ) +
  coord_fixed() +
  scale_x_reverse() +
  scale_y_reverse() +
  scale_alpha(range = c(1, 0), guide = 'none') +
  scale_size_continuous(
    range = c(20, 0.1), trans = 'exp',
    guide = 'none'
  ) +
  scale_color_continuous(guide = 'none') +
  xlab('') + ylab('') +
  ggtitle('ggforce: Accelerating ggplot2') +
  theme(plot.title = element_text(size = 20))

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