这个问题是我之前的问题: How to ordering bars within all facets?
我想在geom_bar的每个方面添加不同的行。我使用了geom_hline函数,但是所有行都添加到了所有方面!
我的代码:
i <- data.frame(
nbr =c(15.18 ,11.53 ,13.37 ,9.2, 10.9, 12.23 ,9.53, 9.81, 7.86, 12.79,
22.03 ,17.64 ,18.1, 16.78 ,17.53 ,16.97 ,17.76 ,18.35 ,12.82 ,20.91,
22.09 ,19.18 ,17.54 ,18.45 ,19.83 ,16.99 ,19.69 ,19.45 ,13.07 ,21.41,
12.13 ,9.76, 10.79 ,10.74 ,12.43 ,9.65, 12.18 ,11.63 ,6.74, 12.31,
17.5, 14.75 ,15.2, 13.89 ,15.24 ,17.43 ,15.22 ,14.04,9.49, 15.86,
8.09, 5.86, 6.68, 7.34, 8.01, 6.35, 8.4, 7.4, 3.88, 6.92 ),
x2=rep(c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j"),6),
s = c(rep(c(rep(c("3"),10),
rep(c("4"),10),
rep(c("5"),10),
rep(c("6"),10),
rep(c("7"),10),
rep(c("8"),10)),1)))
ii <- i[order(i$s, i$nbr ), ]
sn <- factor(x = 1:60, labels = ii$x2)
ii$sn <- sn
scale_x_reordered <- function(..., sep = "___") {
reg <- paste0(sep, ".+$")
ggplot2::scale_x_discrete(labels = function(x) gsub(reg, "", x), ...)
}
reorder_within <- function(x, by, within, fun = mean, sep = "___", ...) {
new_x <- paste(x, within, sep = sep)
stats::reorder(new_x, by, FUN = fun)
}
dummy2 <- data.frame(X = levels(i$s)[-1], Z = c( 4,16,16,8,4))
dummy2$X <- factor(dummy2$X)
ggplot(ii, aes(reorder_within(sn, nbr, s), nbr)) +
geom_bar(stat = 'identity') +
scale_x_reordered() +
facet_wrap(.~ s, ncol=2,scales = "free_x") +
theme(axis.text.x=element_text(angle=90,hjust=1,vjust=.5,colour='gray50'))+
geom_hline( aes(yintercept = Z),data = dummy2)
答案 0 :(得分:2)
两个数据集都需要共享同一列。
dummy2 <- data.frame(s = levels(i$s)[-1], Z = c( 4,16,16,8,4))
dummy2$s <- factor(dummy2$s)
ggplot(ii, aes(reorder_within(sn, nbr, s), nbr)) +
geom_bar(stat = 'identity') +
scale_x_reordered() +
facet_wrap(.~ s, ncol=2,scales = "free_x") +
theme(axis.text.x=element_text(angle=90,hjust=1,vjust=.5,colour='gray50'))+
geom_hline( aes(yintercept = Z),data = dummy2)
答案 1 :(得分:1)
执行此操作的技巧是使用映射(或switch()
甚至ifelse()
)函数根据您在其中使用的变量来映射z
的值方面,即ii$s
。
数据帧ii
:
rbind(head(ii),tail(ii))
nbr x2 s sn z
9 7.86 i 3 i 0
4 9.20 d 3 d 0
7 9.53 g 3 g 0
8 9.81 h 3 h 0
5 10.90 e 3 e 0
2 11.53 b 3 b 0
60 6.92 j 8 j 4
54 7.34 d 8 d 4
58 7.40 h 8 h 4
55 8.01 e 8 e 4
51 8.09 a 8 a 4
57 8.40 g 8 g 4
ggplot2
代码:
ggplot(data = ii, aes(reorder_within(sn, nbr, s), nbr)) +
geom_hline(aes(yintercept = z), col="dodgerblue4") +
geom_bar(stat = 'identity') +
scale_x_reordered() +
facet_wrap(.~ s, ncol=2,scales = "free_x") +
theme(axis.text.x=element_text(angle=90,
hjust=1,
vjust=.5,
colour='gray50'))