Mathematical annotations on R plots

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I’ve always struggled with using plotmath via the expression function in R for adding mathematical notation to axes or legends. For some reason, the most obvious way to write something never seems to work for me and I end up using trial and error in a loop with far too many iterations.

So I am very happy to see the new latex2exp package available which translates LaTeX expressions into a form suitable for R graphs. This is going to save me time and frustration!

Here is a quick example showing a Lee-Carter decomposition of some mortality data.

fit <- lca(fr.mort)
par(mfrow=c(2,2), mar=c(4,5,2,1), family="serif")
plot(fit$age, fit$ax, type="l", ylab=latex2exp("a_x"), xlab="Age: x")
plot(fit$age, fit$bx, type="l", ylab=latex2exp("b_x"), xlab="Age: x")
plot(0, type="n", axes=FALSE, xlab="", ylab="")
text(1, 0, latex2exp("m_{x,t} = a_x + k_tb_x + e_{x,t}"))
plot(fit$kt, ylab=latex2exp("k_t"), xlab="Year: t")


There are several more examples in the package documentation.

The results are still a little ugly, but that is because of the limitations of base graphics in R. To get something more LaTeX-like, the tikzDevice package can be used as follows.

fit <- lca(fr.mort)
     ylab="$a_x$", xlab="Age: $x$")
     ylab="$b_x$", xlab="Age: $x$")
text(1,0,"$m_{x,t} = a_x + k_tb_x + e_{x,t}$")
plot(fit$kt,ylab="$k_t$", xlab="Year: $t$")

Screenshot from 2015-09-02 17:12:50

While the results look much nicer, it is rather slow.

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