1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
|
library(lattice)
## prepanel and panel function for displaying confidence intervals
prepanel.ci <- function(x, y, lx, ux, subscripts, ...)
{
x <- as.numeric(x)
lx <- as.numeric(lx[subscripts])
ux <- as.numeric(ux[subscripts])
list(xlim = range(x, ux, lx, finite = TRUE))
}
panel.ci <- function(x, y, lx, ux, subscripts, pch = 16, ...)
{
x <- as.numeric(x)
y <- as.numeric(y)
lx <- as.numeric(lx[subscripts])
ux <- as.numeric(ux[subscripts])
panel.abline(h = unique(y), col = "grey")
panel.arrows(lx, y, ux, y, col = 'black',
length = 0.25, unit = "native",
angle = 90, code = 3)
panel.xyplot(x, y, pch = pch, ...)
}
## constructing an example for confidence intervals for medians (see
## ?boxplot.stats for a discussion of what the intervals mean)
singer.split <-
with(singer,
split(height, voice.part))
singer.ucl <-
sapply(singer.split,
function(x) {
st <- boxplot.stats(x)
c(st$stats[3], st$conf)
})
singer.ucl <- as.data.frame(t(singer.ucl))
names(singer.ucl) <- c("median", "lower", "upper")
singer.ucl$voice.part <-
factor(rownames(singer.ucl),
levels = rownames(singer.ucl))
singer.ucl
with(singer.ucl,
dotplot(voice.part ~ median,
lx = lower, ux = upper,
prepanel = prepanel.ci,
panel = panel.ci))
singer.split <-
with(singer,
split(height, voice.part))
singer.ucl <-
sapply(singer.split,
function(x) {
st <- boxplot.stats(x)
c(st$stats[3], st$conf)
})
singer.ucl <- as.data.frame(t(singer.ucl))
names(singer.ucl) <- c("median", "lower", "upper")
singer.ucl$voice.part <-
factor(rownames(singer.ucl),
levels = rownames(singer.ucl))
singer.ucl
with(singer.ucl,
xyplot(voice.part ~ median,
lx = lower, ux = upper,
prepanel = prepanel.ci,
panel = panel.ci))
|
