[R] pairs: adjusting margins and labeling axes

Michael Young aimfrendio at gmail.com
Tue Jul 19 23:37:18 CEST 2016


I want to make this as easy as possible.  The extra space could just go
around the plot in the margin area.  I could then use a cropping tool to
paste the plot into Excel or Word.

I'm not opposed to using another package, but I'd need some kind of
pre-existing code to tinker with.

On Tue, Jul 19, 2016 at 11:16 AM, Greg Snow <538280 at gmail.com> wrote:

> If you want square plots on a rectangular plotting region, then where
> do you want the extra space to go?
>
> One option would be to add outer margins to use up the extra space.
> The calculations to figure out exactly how much space to put in the
> outer margins will probably not be trivial.
>
> Another option would be to not use `pairs`, but use the `layout`
> function directly and loops to do your plots (and use the `respect`
> argument to `layout`).
>
> On Tue, Jul 19, 2016 at 11:29 AM, michael young
> <nutnutnutterson at gmail.com> wrote:
> > The default shape for this correlation scatterplot is rectangle.  I
> changed
> > it to square, but then the x-axis spacing between squares are off.  Is
> > there an easy way to change x-axis spacing between squares to that of the
> > y-axis spacing size?
> >
> > I decided to hide the name values of the diagonal squares.  I want them
> > along the x and y axis instead, outside of the fixed number scale I have.
> > I haven't seen any online example of 'pairs' with this and all my
> searches
> > have yielded nothing.  Any ideas?  Thanks
> >
> > par(pty="s")
> > panel.cor <- function(x, y, digits = 2, prefix="", cex.cor, ...)
> > {
> >     usr <- par("usr"); on.exit(par(usr))
> >     par(usr = c(0, 1, 0, 1),xlog=FALSE,ylog=FALSE)
> >     # correlation coefficient
> >     r <- cor(x, y)
> >     txt <- format(c(r, 0.123456789), digits = digits)[1]
> >     txt <- paste("r= ", txt, sep = "")
> >     if(missing(cex.cor)) cex.cor <- 0.8/strwidth(txt)
> >     text(0.5, 0.6, txt, cex=cex.cor * r)
> >
> >     # p-value calculation
> >     p <- cor.test(x, y)$p.value
> >     txt2 <- format(c(p, 0.123456789), digits = digits)[1]
> >     txt2 <- paste("p= ", txt2, sep = "")
> >     if(p<0.01) txt2 <- paste("p= ", "<0.01", sep = "")
> >     text(0.5, 0.4, txt2)
> > }
> >
> > pairs(iris, upper.panel = panel.cor,xlim=c(0.1,100000),
> > ylim=c(0.1,100000),log="xy",text.panel = NULL,pch=".")
> >
> >         [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
>
>
> --
> Gregory (Greg) L. Snow Ph.D.
> 538280 at gmail.com
>

	[[alternative HTML version deleted]]



More information about the R-help mailing list