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## MMD.R (2022-05-12)
## Mismatch Distribution
## Copyright 2009-2022 Emmanuel Paradis, 2013 David Winter
## This file is part of the R-package `pegas'.
## See the file ../DESCRIPTION for licensing issues.
MMD <- function(x, xlab = "Distance", main = "", rug = TRUE, legend = TRUE,
lcol = c("blue", "red"), lty = c(1, 1), bw = 2, ...)
{
d <- dist.dna(x, "N")
h <- hist(d, xlab = xlab, main = main, freq = FALSE, ...)
dd <- density(d, bw = bw)
lines(dd, col = lcol[1], lty = lty[1])
## by David Winter:
theta <- mean(d)
upper <- ceiling(max(d))
e <- sapply(0:upper, function(i) theta^i / (theta + 1)^(i + 1))
lines(e, col = lcol[2], lty = lty[2])
if (rug) rug(d)
if (legend) {
psr <- par("usr")
xx <- psr[2]/2
yy <- psr[4] * (0.5 + 0.5/par("plt")[4])
legend(xx, yy, c("Empirical", "Stable expectation"),
lty = lty, col = lcol, bg = "white", bty = "n",
xjust = 0.5, yjust = 0.5, horiz = TRUE, xpd = TRUE)
#legend("topleft", c("Empirical", "Stable expectation"),
# lty = 1, col = lcol, bg = "white", bty = "n")
}
invisible(list(histogram = h, empirical.density = dd, expected.curve = e))
}
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