panel.beeswarm: Lattice Panel for Scatter Plots With a Beeswarm Display
In walmes/wzRfun: Walmes Zeviani's collection of functions

Description Usage Arguments Author(s) See Also Examples

Used to make scatter plot of discrete variables with no overlapping points. Observations with the same y value are spread in a sistematic pattern.

1	panel.beeswarm(x, y, subscripts, spread, ...)

`x, y, subscripts, ...`	arguments passed to `panel.xyplot()`, the core function of `xyplot()`.
`spread`	a numeric scalar indicating how much to spread the values. This value should be determined by try and error. If you change the window plot dimensions, you should determine a new value. As an advice, always use a `x11()` before the plot you want to guarantee a good look.

Walmes Zeviani, walmes@ufpr.br, based on the package beeswarm.

xyplot().

est.ing <- c("vegetative", "flower bud", "blossom", "fig",
             "cotton boll")
cap <- expand.grid(rept = 1:5,
                   des = seq(0, 100, l = 5)/100,
                   est = factor(est.ing, levels = est.ing))
cap$nc <- c(10, 9, 8, 8, 10, 11, 9, 10, 10, 10, 8, 8, 10, 8, 9,
            9, 7, 7, 8, 9, 8, 6, 6, 5, 6, 7, 8, 8, 9, 10, 9, 12,
            7, 10, 9, 8, 9, 9, 10, 8, 11, 10, 7, 8, 8, 7, 7, 7,
            7, 8, 10, 9, 8, 12, 8, 7, 5, 5, 7, 5, 6, 5, 7, 4, 7,
            8, 5, 7, 6, 4, 5, 5, 4, 4, 5, 8, 10, 7, 8, 10, 9, 6,
            6, 8, 6, 9, 7, 11, 8, 9, 6, 6, 6, 6, 7, 3, 3, 2, 4,
            3, 11, 7, 9, 12 , 11, 9, 13, 8, 10, 10, 9, 7, 7, 9,
            9, 8, 8, 10, 8, 10, 9, 8, 10, 8, 10)

library(lattice)

# x11(width = 7, height = 2.8)
xyplot(nc ~ des | est, data = cap,
       layout = c(5, 1), as.table = TRUE,
       col = 1, type = c("p", "smooth"), col.line = "gray50",
       xlim = extendrange(c(0:1), f = 0.15),
       xlab = "Artificial defoliation level",
       ylab = "Number of bolls produced",
       strip = strip.custom(bg = "gray90", factor.levels = est.ing),
       spread = 0.07, panel = panel.beeswarm)

# x11(width = 7, height = 2.8)
xyplot(nc ~ est | factor(des), data = cap,
       layout = c(5, 1), as.table = TRUE, col = 1,
       type = c("p", "smooth"), col.line = "gray50",
       xlim = extendrange(c(1, nlevels(cap$est)), f = 0.2),
       xlab = "Cotton growth stage",
       ylab = "Number of bolls produced",
       strip = strip.custom(bg = "gray90"),
       scales = list(x = list(
                         at = 1:nlevels(cap$est),
                         labels = substr(levels(cap$est), 1, 3))),
       spread = 0.35, panel = panel.beeswarm)