**0xCAFEBABE**, and kindly contributed to R-bloggers)

I’m in the middle of creating a poster and wanted to compresss the content by transforming some of the charts into subplots of other charts.

I made a little survey and found that there is a TeachingDemos library in CRAN that fits my needs. Well, the parameterization of the functions is a bit tricky but after a few tries you get used to it.

However, there is a minor flaw in the code of version 2.7: when I wanted to use multiple plots on one layout (e.g., next to each other to use a common legend), it always drew the charts into the first plotting area. A bit of Googling helped, my solution is based on this thread on the R-help list since October, 2010. If you manage to install version 2.8, the problem is solved automatically. On the other side, if you want a quick solution, add the following code segment to your script (so it is *shadowing* the original function definition).

Only change the first 3 lines of the code, leave the other untouched (you can verify it by diffing this code and entering `subplot`

into the R console).

subplot <- function (fun, x, y = NULL, size = c(1, 1), vadj = 0.5, hadj = 0.5,

inset = c(0, 0), type = c("plt", "fig"), pars = NULL)

{

#------------------------------------------------------

# Version 2.7 has a minor issue here:

# old.par <- par(no.readonly = TRUE)

# on.exit(par(old.par))

# type <- match.arg(type)

#------------------------------------------------------

# Change to this in order to solve the issue

# HACK HERE!

print("Hacked")

type <- match.arg(type)

old.par <- par( c(type, 'usr', names(pars) ) )

#------------------------------------------------------

# The remaining part is untouched

on.exit(par(old.par))

if (missing(x))

x <- locator(2)

if (is.character(x)) {

if (length(inset) == 1)

inset <- rep(inset, 2)

x.char <- x

tmp <- par("usr")

x <- (tmp[1] + tmp[2])/2

y <- (tmp[3] + tmp[4])/2

if (length(grep("left", x.char, ignore.case = TRUE))) {

x <- tmp[1] + inset[1] * (tmp[2] - tmp[1])

if (missing(hadj))

hadj <- 0

}

if (length(grep("right", x.char, ignore.case = TRUE))) {

x <- tmp[2] - inset[1] * (tmp[2] - tmp[1])

if (missing(hadj))

hadj <- 1

}

if (length(grep("top", x.char, ignore.case = TRUE))) {

y <- tmp[4] - inset[2] * (tmp[4] - tmp[3])

if (missing(vadj))

vadj <- 1

}

if (length(grep("bottom", x.char, ignore.case = TRUE))) {

y <- tmp[3] + inset[2] * (tmp[4] - tmp[3])

if (missing(vadj))

vadj <- 0

}

}

xy <- xy.coords(x, y)

if (length(xy$x) != 2) {

pin <- par("pin")

tmp <- cnvrt.coords(xy$x[1], xy$y[1], "usr")$plt

x <- c(tmp$x - hadj * size[1]/pin[1], tmp$x + (1 - hadj) *

size[1]/pin[1])

y <- c(tmp$y - vadj * size[2]/pin[2], tmp$y + (1 - vadj) *

size[2]/pin[2])

xy <- cnvrt.coords(x, y, "plt")$fig

}

else {

xy <- cnvrt.coords(xy, , "usr")$fig

}

par(pars)

if (type == "fig") {

par(fig = c(xy$x, xy$y), new = TRUE)

}

else {

par(plt = c(xy$x, xy$y), new = TRUE)

}

fun

tmp.par <- par(no.readonly = TRUE)

return(invisible(tmp.par))

}

There is a second workaround suggested in the aforementioned thread, namely managing `par('mfg')`

by hand before and after executing the `subplot()`

function, but it didn’t work for me. The third option (wait a few days until the CRAN packages are updated to 2.8) seems to take a bit longer. ðŸ™‚ Anyway, it is working so I’m happy.

**leave a comment**for the author, please follow the link and comment on their blog:

**0xCAFEBABE**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...