This package contains a range of useful stats, geoms, trans and utilities to get more out of ggplot2. Many of the additions are mainly aimed at developers wanting to develop new visualizations using ggplot2 rather than statisticians wanting to understand their data.

See also

Examples

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 = ..index.., size = ..index.. ), colour = 'goldenrod', n = 500) + geom_bezier(aes(x = x, y = y, group = group, colour = ..index..), data = rocketData ) + geom_bezier(aes(x = y, y = x, group = group, colour = ..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))