将geom_hline图例添加到现有的几何条形图例
问题描述:
我想在现有图例下添加一个代表虚线的图例,以便虚线可以标记为“avg tx effect”并放置在研究3下。将geom_hline图例添加到现有的几何条形图例
library(ggplot2)
library(ggthemes)
#dput(df)
df=structure(list(study = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 1L,
2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L), .Label = c("study1", "study2",
"study3"), class = "factor"), d = c(-0.205, 0.1075, 0.3525, -0.37,
0.3, 0.42, -0.28, 0.09, 0.59, 0.11, -0.05, 0.25, 0, 0.25, 0.49
), Outcome = c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L,
5L, 5L, 5L), Outcome2 = structure(c(1L, 1L, 1L, 4L, 4L, 4L, 7L,
7L, 7L, 10L, 10L, 10L, 13L, 13L, 13L), .Label = c("1", "1", "1",
"2", "2", "2", "3", "3", "3", "4", "4", "4", "5", "5", "5"), class = "factor")), .Names = c("study",
"d", "Outcome", "Outcome2"), row.names = c(NA, -15L), class = "data.frame")
ggplot(df, aes(x=Outcome2, y=d, fill=study)) +
geom_bar(position=position_dodge(), aes(x=Outcome2),stat="identity",
colour="black", # Use black outlines,
size=.3) + # Thinner lines
xlab("Outcome") +
ylab("Cohen's D Effect Size") +
scale_fill_grey(name="Study",
labels=c("study1","study2", "study3"))+
theme_bw()+
geom_hline(yintercept=.15,linetype=2)
答
由于@Gregor建议,你可以通过添加annotate()
使用直接标签这条线,如下图所示:
ggplot(df, aes(x=Outcome2, y=d, fill=study)) +
geom_bar(position=position_dodge(), aes(x=Outcome2),stat="identity",
colour="black", # Use black outlines,
size=.3) + # Thinner lines
xlab("Outcome") +
ylab("Cohen's D Effect Size") +
scale_fill_grey(name="Study",
labels=c("study1","study2", "study3"))+
theme_bw()+
geom_hline(yintercept=.15,linetype=2) +annotate("text",x=.7,y=.17,size=3,label=c('avg tx ef'))
如果空间有问题,您可以使用wrapper
描述的here来包装文本。只需运行wrapper <- function(x, ...) paste(strwrap(x, ...), collapse = "\n")
,然后添加+annotate("text",x=.7,y=.18,size=3,label=wrapper('avg tx effect',10))
。主要生产:
答
的ggplot
的一般特点是生成一个传说,你需要地图您aes
thetics(如linetype
)在数据的变量,而不是设置它以不变。在geom_hline
的情况下,这可以通过将截取置于单独的数据帧中来实现。还请注意show_guide = TRUE
。
然后使用scale_linetype_manual
自定义图例。使用override.aes
删除fill
图例中的黑线。
这是你的代码的精简版,只显示了最必要的步骤:
df2 <- data.frame(yi = 0.15)
ggplot(data = df, aes(x = Outcome2, y = d, fill = study)) +
geom_bar(position = "dodge", stat = "identity") +
geom_hline(data = df2, aes(yintercept = yi, linetype = factor(yi)), show_guide = TRUE) +
scale_linetype_manual(name = "avg tx effect", values = "dashed", labels = "") +
guides(fill = guide_legend(override.aes = list(linetype = "blank")))
对剧情的直接文本标签会很容易... – Gregor