我想更改我的图例,使其显示颜色但不区分形状。
这是一些数据:
exampledata <- tribble(~subject, ~group, ~PC, ~condition,
"1", "A", .8, "cond1",
"1", "A", .4, "cond2",
"2", "B", .45, "cond1",
"2", "B", .4, "cond2",
"3", "A", .6, "cond1",
"3", "A", .3, "cond2",
"4", "B", .5, "cond1",
"4", "B", .34, "cond2",
"5", "A", .86, "cond1",
"5", "A", .34, "cond2",
"6", "B", .45, "cond1",
"6", "B", .64, "cond2",
"7", "A", .36, "cond1",
"7", "A", .23, "cond2",
"8", "B", .59, "cond1",
"8", "B", .24, "cond2",
"9", "A", .8, "cond1",
"9", "A", .14, "cond2",
"10", "B", .42, "cond1",
"10", "B", .74, "cond2",
"11", "A", .56, "cond1",
"11", "A", .32, "cond2",
"12", "B", .65, "cond1",
"12", "B", .14, "cond2",
"13", "A", .76, "cond1",
"13", "A", .63, "cond2",
"14", "B", .56, "cond1",
"14", "B", .14, "cond2",
"15", "A", .66, "cond1",
"15", "A", .33, "cond2",
"16", "B", .65, "cond1",
"16", "B", .24, "cond2",
"17", "A", .16, "cond1",
"17", "A", .73, "cond2",
"18", "B", .29, "cond1",
"18", "B", .22, "cond2"
)
到目前为止我一直在使用的代码:
ggplot(exampledata, aes(x=condition, y=PC, shape = condition, color = group))+
geom_point(aes(group=group), size = 5, position=position_dodge(-.2)) +
stat_summary(fun.data=mean_cl_boot, geom = "pointrange", aes(shape=condition, fill = group),
size=1.5, position = position_dodge(-.2), colour = "grey32") +
stat_summary(fun.y = mean, aes(group=group, colour=group), geom='line', size=.8, position = position_dodge(-.2)) +
scale_shape_manual(name = "group",
labels = c("A", "B"),
values=c(21,24)) +
scale_colour_manual(name = "group",
labels = c("A", "B"),
values = c("#F8766D","#00BFC4")) +
xlab("condition") +
ylab('%') +
theme_bw(base_size=15) +
theme(axis.text = element_text(size = 20),
axis.title = element_text(size=20),
legend.title = element_blank(),
legend.justification=c(1,1), legend.position=c(1,.99))
这会生成附加图,这几乎是我想要的。然而,正如您所看到的,图例中的形状也有所不同。我希望形状是相同的,理想情况下是填充的正方形。我尝试了 this post 的建议,并将 guides(colour = Guide_legend(override.aes = list(shape = 15)))
添加到我的代码中,但这给了我带有彩色线条的灰色方 block -我想要指定颜色的填充方 block 。我想我已经快到了,但我不太明白] 2
最佳答案
以下代码将图例绘制为简单的彩色圆圈:
ggplot(exampledata, aes(x=condition, y=PC, shape = condition, color = group)) +
geom_point(aes(group=group), size = 5, position=position_dodge(-.2)) +
stat_summary(fun.data=mean_cl_boot, geom = "pointrange", aes(shape=condition, fill = group),
size = 1.5, position = position_dodge(-.2), colour = "grey32", show.legend = FALSE) +
stat_summary(fun.y = mean, geom='line', aes(group=group, colour=group),
size=.8, position = position_dodge(-.2), show.legend = FALSE) +
scale_shape_manual(name = "group",
labels = c("A", "B"),
values=c(21,24)) +
scale_colour_manual(name = "group",
labels = c("A", "B"),
values = c("#F8766D","#00BFC4")) +
xlab("condition") +
ylab('%') +
theme_bw(base_size=15) +
theme(axis.text = element_text(size = 20),
axis.title = element_text(size=20),
legend.title = element_blank(),
legend.justification=c(1,1), legend.position=c(1,.99)) +
guides(shape = FALSE)
这里有两个更改:首先,我将 show.legend = FALSE
添加到 stat_summary
函数中,因此它们不再包含在图例中(否则他们会添加小线几何图形)。其次,我添加了guides(shape = FALSE)
,以便形状美观不会映射到图例。
关于r - 在 ggplot2 中指定图例中的形状,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/55533224/