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copied!<p>Here is the example for combining multiple plots with alignment:</p> <pre><code>library(ggplot2) library(grid) set.seed (123) xvar <- c(rnorm (100, 50, 30), rnorm (100, 40, 10), rnorm (100, 70, 10)) yvar <- xvar + rnorm (length (xvar), 0, 20) myd <- data.frame (xvar, yvar) p1 <- ggplot(myd,aes(x=xvar,y=yvar))+ stat_density2d(aes(fill=..level..), geom="polygon") + coord_cartesian(c(0, 150), c(0, 150)) + opts(legend.position = "none") p2 <- ggplot(myd, aes(x = xvar)) + stat_density() + coord_cartesian(c(0, 150)) p3 <- ggplot(myd, aes(x = yvar)) + stat_density() + coord_flip(c(0, 150)) gt <- ggplot_gtable(ggplot_build(p1)) gt2 <- ggplot_gtable(ggplot_build(p2)) gt3 <- ggplot_gtable(ggplot_build(p3)) gt1 <- ggplot2:::gtable_add_cols(gt, unit(0.3, "null"), pos = -1) gt1 <- ggplot2:::gtable_add_rows(gt1, unit(0.3, "null"), pos = 0) gt1 <- ggplot2:::gtable_add_grob(gt1, gt2$grobs[[which(gt2$layout$name == "panel")]], 1, 4, 1, 4) gt1 <- ggplot2:::gtable_add_grob(gt1, gt2$grobs[[which(gt2$layout$name == "axis-l")]], 1, 3, 1, 3, clip = "off") gt1 <- ggplot2:::gtable_add_grob(gt1, gt3$grobs[[which(gt3$layout$name == "panel")]], 4, 6, 4, 6) gt1 <- ggplot2:::gtable_add_grob(gt1, gt3$grobs[[which(gt3$layout$name == "axis-b")]], 5, 6, 5, 6, clip = "off") grid.newpage() grid.draw(gt1) </code></pre> <p><img src="https://i.stack.imgur.com/TL3w0.png" alt="enter image description here"></p> <p>note that this works with gglot2 0.9.1, and in the future release you may do it more easily.</p> <p><em>And finally</em></p> <p>you can do that by:</p> <pre><code>library(ggplot2) library(grid) set.seed (123) xvar <- c(rnorm (100, 50, 30), rnorm (100, 40, 10), rnorm (100, 70, 10)) yvar <- xvar + rnorm (length (xvar), 0, 20) myd <- data.frame (xvar, yvar) p1 <- ggplot(myd,aes(x=xvar,y=yvar))+ stat_density2d(aes(fill=..level..), geom="polygon") + geom_polygon(aes(x, y), data.frame(x = c(-Inf, -Inf, 30, 30), y = c(-Inf, 30, 30, -Inf)), alpha = 0.5, colour = NA, fill = "red") + geom_polygon(aes(x, y), data.frame(x = c(Inf, Inf, 80, 80), y = c(Inf, 80, 80, Inf)), alpha = 0.5, colour = NA, fill = "green") + coord_cartesian(c(0, 120), c(0, 120)) + opts(legend.position = "none") xd <- data.frame(density(myd$xvar)[c("x", "y")]) p2 <- ggplot(xd, aes(x, y)) + geom_area(data = subset(xd, x < 30), fill = "red") + geom_area(data = subset(xd, x > 80), fill = "green") + geom_line() + coord_cartesian(c(0, 120)) yd <- data.frame(density(myd$yvar)[c("x", "y")]) p3 <- ggplot(yd, aes(x, y)) + geom_area(data = subset(yd, x < 30), fill = "red") + geom_area(data = subset(yd, x > 80), fill = "green") + geom_line() + coord_flip(c(0, 120)) gt <- ggplot_gtable(ggplot_build(p1)) gt2 <- ggplot_gtable(ggplot_build(p2)) gt3 <- ggplot_gtable(ggplot_build(p3)) gt1 <- ggplot2:::gtable_add_cols(gt, unit(0.3, "null"), pos = -1) gt1 <- ggplot2:::gtable_add_rows(gt1, unit(0.3, "null"), pos = 0) gt1 <- ggplot2:::gtable_add_grob(gt1, gt2$grobs[[which(gt2$layout$name == "panel")]], 1, 4, 1, 4) gt1 <- ggplot2:::gtable_add_grob(gt1, gt2$grobs[[which(gt2$layout$name == "axis-l")]], 1, 3, 1, 3, clip = "off") gt1 <- ggplot2:::gtable_add_grob(gt1, gt3$grobs[[which(gt3$layout$name == "panel")]], 4, 6, 4, 6) gt1 <- ggplot2:::gtable_add_grob(gt1, gt3$grobs[[which(gt3$layout$name == "axis-b")]], 5, 6, 5, 6, clip = "off") grid.newpage() grid.draw(gt1) </code></pre> <p><img src="https://i.stack.imgur.com/dBYgM.png" alt="enter image description here"></p>

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