94 lines
2.0 KiB
R
94 lines
2.0 KiB
R
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library(lattice)
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## prepanel and panel function for displaying confidence intervals
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prepanel.ci <- function(x, y, lx, ux, subscripts, ...)
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{
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x <- as.numeric(x)
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lx <- as.numeric(lx[subscripts])
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ux <- as.numeric(ux[subscripts])
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list(xlim = range(x, ux, lx, finite = TRUE))
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}
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panel.ci <- function(x, y, lx, ux, subscripts, pch = 16, ...)
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{
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x <- as.numeric(x)
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y <- as.numeric(y)
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lx <- as.numeric(lx[subscripts])
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ux <- as.numeric(ux[subscripts])
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panel.abline(h = unique(y), col = "grey")
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panel.arrows(lx, y, ux, y, col = 'black',
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length = 0.25, unit = "native",
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angle = 90, code = 3)
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panel.xyplot(x, y, pch = pch, ...)
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}
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## constructing an example for confidence intervals for medians (see
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## ?boxplot.stats for a discussion of what the intervals mean)
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singer.split <-
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with(singer,
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split(height, voice.part))
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singer.ucl <-
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sapply(singer.split,
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function(x) {
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st <- boxplot.stats(x)
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c(st$stats[3], st$conf)
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})
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singer.ucl <- as.data.frame(t(singer.ucl))
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names(singer.ucl) <- c("median", "lower", "upper")
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singer.ucl$voice.part <-
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factor(rownames(singer.ucl),
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levels = rownames(singer.ucl))
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singer.ucl
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with(singer.ucl,
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dotplot(voice.part ~ median,
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lx = lower, ux = upper,
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prepanel = prepanel.ci,
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panel = panel.ci))
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singer.split <-
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with(singer,
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split(height, voice.part))
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singer.ucl <-
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sapply(singer.split,
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function(x) {
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st <- boxplot.stats(x)
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c(st$stats[3], st$conf)
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})
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singer.ucl <- as.data.frame(t(singer.ucl))
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names(singer.ucl) <- c("median", "lower", "upper")
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singer.ucl$voice.part <-
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factor(rownames(singer.ucl),
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levels = rownames(singer.ucl))
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singer.ucl
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with(singer.ucl,
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xyplot(voice.part ~ median,
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lx = lower, ux = upper,
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prepanel = prepanel.ci,
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panel = panel.ci))
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