How to control plot width in gridExtra?
Possible Duplicate:
left align two graph edges (ggplot)
I am trying to put two plots produced with ggplot on the same page, top and bottom, so that their widths are the same. The data is from the same time series, x axis being time, so it is important that data points with the same time are not shifted horizontally with respect to each other. I tried grid.arrange from package gridExtra:
grid.arrange(p1, p2)
but the plots have different widths due to different widths of y axis labels. I looked at this post that deals with similar problem, but I could not apply that information to solve my problem.
As per my comment (and also the comment in the middle of the @Justin answer) facet_wrap may be the way to go. It generates something like the image below. Obviously you'd need to play around with colours, legends and maybe the order of the factors, but you can see the general approach. Code follows image.
library(ggplot2)
library(reshape)
mydf <- data.frame(day = 1:10,
upper1 = runif(10, 10000, 20000),
upper2 = runif(10, 15000, 16000),
lower1 = runif(10, 1, 10),
lower2 = runif(10, 3, 8))
mydf.melt <- melt(mydf, id.var = 'day')
mydf.melt$grouping <- ifelse(mydf.melt$value >= 10000, "upper", "lower")
ggplot(mydf.melt, aes(x = day, y = value, group = variable)) +
geom_line() +
facet_wrap(~ grouping, ncol = 1, scales = "free_y")
The help text of grid.arrange says:
Arguments:
...: plots of class ggplot2, trellis, or grobs, and valid
arguments to grid.layout
So reading grid.layout leads to:
Arguments:
nrow: An integer describing the number of rows in the layout.
ncol: An integer describing the number of columns in the layout.
widths: A numeric vector or unit object describing the widths of the
columns in the layout.
heights: A numeric vector or unit object describing the heights of the
rows in the layout.
In other words, you can pass widths and heights as vectors. grid.arrange(p1, p2, heights=c(1, 2) . Or by way of an example:
dat <- data.frame(x=1:10, y=10:1)
q1 <- qplot(x, y, data=dat)
q2 <- qplot(y, x, data=dat)
q3 <- qplot(x, y, data=dat, geom='line')
q4 <- qplot(y, x, data=dat, geom='line')
grid.arrange(q1, q2, q3, q4, heights=1:2, widths=1:2)
It is also worth mentioning that a similar effect can often be accomplished using melt from the reshape2 package and facet_wrap or facet_grid in ggplot2 .
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