# [SPAM Detected: 81%] [R] Cumulative lattice histograms

From: Ola Caster <ola.caster_at_gmail.com>
Date: Mon, 12 May 2008 10:44:13 +0200

Dear all,

It's fairly straightforward to plot cumulative histograms using the hist() function. You do something like:

h <- hist(rnorm(100), plot=FALSE)
h\$counts<- cumsum(h\$counts)
plot(h)

However, I have failed to find any example where this is done using the lattice histogram() function. I realize I need to slightly alter the panel function panel.histogram. Specifially I would like to add the following line in red, just like I did above:

function (x, breaks, equal.widths = TRUE, type = "density", nint = round(log2(length(x)) +

1), alpha = plot.polygon\$alpha, col = plot.polygon\$col, border = plot.polygon\$border,

lty = plot.polygon\$lty, lwd = plot.polygon\$lwd, ...) {

plot.polygon <- trellis.par.get("plot.polygon")     xscale <- current.panel.limits()\$xlim     panel.lines(x = xscale[1] + diff(xscale) * c(0.05, 0.95),

y = c(0, 0), col = border, lty = lty, lwd = lwd, alpha = alpha)     if (length(x) > 0) {

```        if (is.null(breaks)) {
breaks <- if (is.factor(x))
seq_len(1 + nlevels(x)) - 0.5
else if (equal.widths)
do.breaks(range(x, finite = TRUE), nint)
else quantile(x, 0:nint/nint, na.rm = TRUE)

}
h <- hist.constructor(x, breaks = breaks, ...)

h\$counts<- cumsum(h\$counts)

y <- if (type == "count")
h\$counts
else if (type == "percent")
100 * h\$counts/length(x)
else h\$intensities
breaks <- h\$breaks
nb <- length(breaks)
if (length(y) != nb - 1)
warning("problem with 'hist' computations")
if (nb > 1) {
panel.rect(x = breaks[-nb], y = 0, height = y, width =
diff(breaks),
col = col, alpha = alpha, border = border, lty = lty,
lwd = lwd, just = c("left", "bottom"))

}
```

}
}
<environment: namespace:lattice>

My problem is I'm too unexperienced in handling these panel functions to achieve this. Simply copying the panel function, appending the line, and giving it another name obviously doesn't work (it won't find the function hist.constructor). I would very much appreciate help on how this could be done, or some other way to draw cumulative lattice histograms.