我试图在同一个图上绘制多组数据。例如，在下面，我有两组实验设置:“P-0.1”和“P-0.2”，由因子 B 表示。对于每个实验，我有三个输出值“P”、“Q”、“O” "，如因子 A 所示。我按填充颜色对实验进行了分组，并按颜色、线型和形状对输出进行了分组。
library(ggplot2)
dat <- data.frame(
A = factor(c("O", "O", "P", "P", "Q", "Q", "O", "O", "P", "P", "Q", "Q"), levels=c("O", "O", "P", "P", "Q", "Q","O", "O", "P", "P", "Q", "Q")),
B = factor(c("P-0.1", "P-0.1", "P-0.1", "P-0.1","P-0.1", "P-0.1", "P-0.2", "P-0.2", "P-0.2", "P-0.2", "P-0.2", "P-0.2"), levels = c("P-0.1", "P-0.1", "P-0.1", "P-0.1","P-0.1", "P-0.1", "P-0.2", "P-0.2", "P-0.2", "P-0.2", "P-0.2", "P-0.2")),
X = c( 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1),
Y = c(10, 15, 12, 13, 9, 14, 30, 20, 32, 21, 27, 19)
)
p = ggplot(data=dat, aes(x=X, y=Y, colour=A, size=A, shape=A, linetype=A, fill=B, group=interaction(A,B))) + geom_point() + geom_line() + theme_bw()
p = p + geom_point(size=4, alpha=0) + geom_point(size=4, show.legend=FALSE) + guides(shape = guide_legend(nrow=3, byrow = TRUE, keywidth = 1.5, keyheight = 1), colour = guide_legend(override.aes = list(alpha=1)))
p = p + scale_shape_manual(name="", values=c(21,22,23))
p = p + scale_colour_manual(name="", values=c("#005ccc", "#007700", "#56B4E9"))
p = p + scale_linetype_manual(name="", values=c(0,0,1))
p = p + scale_size_manual(name="", values = c(1, 1, 1))
p = p + scale_fill_manual(name="", values = c("red", "blue"))
上面的代码正确地绘制了图形，但我在图例中得到了黑色圆圈作为填充比例，我期望填充红色和蓝色框。如何解决这个问题？
最佳答案
正如评论中提到的，我更新了
p = p + scale_fill_manual(name = "", values = c("red", "blue"), guide = guide_legend(override.aes = list(shape = 22, size = 5)))
以获得所需的图像。看起来像:
关于r - ggplot2 的多个图例，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/37905056/