I am trying to combine a histogram and boxplot for visualizing a continuous variable. Here is the code I have so far
require(ggplot2) require(gridExtra) p1 = qplot(x = 1, y = mpg, data = mtcars, xlab = "", geom = 'boxplot') + coord_flip() p2 = qplot(x = mpg, data = mtcars, geom = 'histogram') grid.arrange(p2, p1, widths = c(1, 2))
It looks fine except for the alignment of the x axes. Can anyone tell me how I can align them? Alternately, if someone has a better way of making this graph using ggplot2
, that would be appreciated as well.
WHAT ARE HISTOGRAMS AND BOX PLOTS?. Histograms are a special kind of bar graph that shows a bar for a range of data values instead of a single value. A box plot is a data display that draws a box over a number line to show the interquartile range of the data.
A histogram can be created in R with the hist function. By default a frequency histogram will be created, but you can create a density histogram setting prob = TRUE . A box plot can be created with the boxplot function.
You can also make histograms by using ggplot2 , “a plotting system for R, based on the grammar of graphics” that was created by Hadley Wickham. This post will focus on making a Histogram With ggplot2.
you can do that by coord_cartesian() and align.plots in ggExtra.
library(ggplot2) library(ggExtra) # from R-forge p1 <- qplot(x = 1, y = mpg, data = mtcars, xlab = "", geom = 'boxplot') + coord_flip(ylim=c(10,35), wise=TRUE) p2 <- qplot(x = mpg, data = mtcars, geom = 'histogram') + coord_cartesian(xlim=c(10,35), wise=TRUE) align.plots(p1, p2)
Here is a modified version of align.plot to specify the relative size of each panel:
align.plots2 <- function (..., vertical = TRUE, pos = NULL) { dots <- list(...) if (is.null(pos)) pos <- lapply(seq(dots), I) dots <- lapply(dots, ggplotGrob) ytitles <- lapply(dots, function(.g) editGrob(getGrob(.g, "axis.title.y.text", grep = TRUE), vp = NULL)) ylabels <- lapply(dots, function(.g) editGrob(getGrob(.g, "axis.text.y.text", grep = TRUE), vp = NULL)) legends <- lapply(dots, function(.g) if (!is.null(.g$children$legends)) editGrob(.g$children$legends, vp = NULL) else ggplot2:::.zeroGrob) gl <- grid.layout(nrow = do.call(max,pos)) vp <- viewport(layout = gl) pushViewport(vp) widths.left <- mapply(`+`, e1 = lapply(ytitles, grobWidth), e2 = lapply(ylabels, grobWidth), SIMPLIFY = F) widths.right <- lapply(legends, function(g) grobWidth(g) + if (is.zero(g)) unit(0, "lines") else unit(0.5, "lines")) widths.left.max <- max(do.call(unit.c, widths.left)) widths.right.max <- max(do.call(unit.c, widths.right)) for (ii in seq_along(dots)) { pushViewport(viewport(layout.pos.row = pos[[ii]])) pushViewport(viewport(x = unit(0, "npc") + widths.left.max - widths.left[[ii]], width = unit(1, "npc") - widths.left.max + widths.left[[ii]] - widths.right.max + widths.right[[ii]], just = "left")) grid.draw(dots[[ii]]) upViewport(2) } }
usage:
# 5 rows, with 1 for p1 and 2-5 for p2 align.plots2(p1, p2, pos=list(1,2:5)) # 5 rows, with 1-2 for p1 and 3-5 for p2 align.plots2(p1, p2, pos=list(1:2,3:5))
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