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r - R中的coplot-如何分辨哪个图是哪个

转载 作者:行者123 更新时间:2023-12-04 04:06:23 26 4
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我在R中使用coplot绘制一些条件图:

coplot(var1 ~ var2 | var3, data=dtb, number=5, overlap=.1, panel=function(x,y, col, pch) {idx = order(x); lines(x[idx], predict(loess(y ~ x))[idx], pch = pch, col = col)})

一个人如何分辨条件图的哪个“桶”(在这种情况下为 var3)对应的图?
> dput(dtb)
structure(list(var1 = 1:50, var2 = c(50L, 49L, 48L, 47L, 46L,
45L, 44L, 43L, 42L, 41L, 40L, 39L, 38L, 37L, 36L, 35L, 34L, 33L,
32L, 31L, 30L, 29L, 28L, 27L, 26L, 25L, 24L, 23L, 22L, 21L, 20L,
19L, 18L, 17L, 16L, 15L, 14L, 13L, 12L, 11L, 10L, 9L, 8L, 7L,
6L, 5L, 4L, 3L, 2L, 1L), var3 = c(1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L,
3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L,
8L, 9L, 10L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L)), .Names = c("var1",
"var2", "var3"), row.names = c(NA, -50L), class = "data.frame")

最佳答案

显然,它是从左到右,从下到上,这意味着如果设置rows=1,则更容易阅读:

# determine how many levels in var3
num <- length(unique(dtb$var3))

# plot in one row using all levels of var3
coplot(var1 ~ var2 | var3, data=dtb,
number=num,
overlap=.1,
col=rainbow(num),
type="o", # plot symbols and lines
cex=2, # make symbols larger
pch=as.character(c(seq(from=1,to=(num-1)),"T")), # use chars as symbols
rows=1) # as.character not required
# due to "T"
# plot in two rows
coplot(var1 ~ var2 | var3, data=dtb,
number=num,
overlap=.1,
col=rainbow(num),
type="o", # plot symbols and lines
cex=2, # make symbols larger
pch=as.character(c(seq(from=1,to=(num-1)),"T")), # use chars as symbols
rows=2) # as.character not required
# due to "T"

关于r - R中的coplot-如何分辨哪个图是哪个,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/14568564/

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