我想在现有的代表虚线的图例下添加一个图例,这样虚线就可以标记为" avg tx effect"并被置于研究3之下。
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)
答案 0 :(得分:7)
ggplot
的一般功能是,要生成图例,您需要将<{1}}理论(例如aes
)映射到其中的变量数据,而不是将设置为常量。在linetype
的情况下,这可以通过将截距放在单独的数据帧中来实现。另请注意geom_hline
。
然后使用show_guide = TRUE
自定义图例。使用scale_linetype_manual
删除fill
图例中的黑线。
以下是代码的精简版,仅显示最必要的步骤:
override.aes
答案 1 :(得分:2)
正如@Gregor建议的那样,您可以通过添加annotate()
来为此行使用直接标签,如下所示:
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))
。产生: