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现代统计图形 - 科学网—博客

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5.12 颜色等高图 89<br />

1 > dotchart(t(VADeaths)[, 5:1], panel.first = grid(ny = NA),<br />

2 + cex = 0.8, xlim = c(0, max(VADeaths)), bg = brewer.pal(4,<br />

3 + "Set1"))<br />

70-74<br />

Urban Female<br />

Urban Male<br />

Rural Female<br />

Rural Male<br />

65-69<br />

Urban Female<br />

Urban Male<br />

Rural Female<br />

Rural Male<br />

60-64<br />

Urban Female<br />

Urban Male<br />

Rural Female<br />

Rural Male<br />

55-59<br />

Urban Female<br />

Urban Male<br />

Rural Female<br />

Rural Male<br />

50-54<br />

Urban Female<br />

Urban Male<br />

Rural Female<br />

Rural Male<br />

0 10 20 30 40 50 60 70<br />

图 5.16: 弗吉尼亚死亡率数据的Cleveland点图<br />

5.12 颜色等高图/层次图<br />

颜色等高图,Cleveland (1993)又称之为层次图(Level Plot),与等高<br />

图的原理完全类似,只是颜色等高图用不同颜色表示不同高度,并配有颜<br />

色图例,用以说明图中的颜色与高度值的对应关系。读者可以回顾5.8小节<br />

关于等高图的介绍。<br />

R中的颜色等高图函数为filled.contour(),其用法如下:<br />

1 > usage(filled.contour)<br />

filled.contour(x = seq(0, 1, length.out = nrow(z)),<br />

y = seq(0, 1, length.out = ncol(z)), z, xlim = range(x,

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