我想画一个"合并"条形积分。 考虑遵循虚拟数据:
library(ggplot2)
library(gridExtra)
library(dplyr)
se <- function(x){sd(x)/sqrt(length(x))}
p1 <- ggplot(mtcars, aes(y=disp, x=cyl, fill=cyl))
p1 <- p1 + geom_point() + theme_classic() + ylim(c(0,500))
my_dat <- summarise(group_by(mtcars, cyl), my_mean=mean(disp),my_se=se(disp))
p2 <- ggplot(my_dat, aes(y=my_mean,x=cyl,ymin=my_mean-my_se,ymax=my_mean+my_se))
p2 <- p2 + geom_bar(stat="identity",width=0.75) + geom_errorbar(stat="identity",width=0.75) + theme_classic() + ylim(c(0,500))
最终的情节看起来应该是这样的:
答案 0 :(得分:5)
您可以将图层一起添加,但如果它们具有不同的数据和/或美学,则您需要在每个图形图层中包含data
和aes
参数。
p3 <- ggplot() +
geom_bar(data=my_dat, aes(y=my_mean,x=cyl,ymin=my_mean-my_se,ymax=my_mean+my_se), stat="identity", width = 0.75) +
geom_errorbar(data=my_dat, aes(y=my_mean,x=cyl,ymin=my_mean-my_se,ymax=my_mean+my_se), width = 0.75) +
geom_point(data=mtcars, aes(y=disp, x=cyl, fill=cyl)) +
ylim(c(0,500)) +
theme_classic()
如果你想使点数偏离柱子的一侧,你可以减去圆柱值的偏移量来移动点。与@LukeA一样,通过将geom_point更改为geom_point(data=mtcars, aes(y=disp, x=cyl-.5, fill=cyl))
。
答案 1 :(得分:2)
您可以将每个图层分别指定为ggplot2
。通常,您为每个geom使用相同的数据框和选项,因此在ggplot()
中设置默认值是有意义的。在您的情况下,您应该分别指定每个geom:
library(ggplot2)
library(gridExtra)
library(dplyr)
se <- function(x){sd(x)/sqrt(length(x))}
my_dat <- summarise(group_by(mtcars, cyl),
my_mean = mean(disp),
my_se = se(disp))
p1 <- ggplot() +
geom_bar(data = my_dat,
aes(y = my_mean, x = cyl,
ymin = my_mean - my_se,
ymax = my_mean + my_se), stat="identity", width=0.75) +
geom_errorbar(data = my_dat,
aes(y = my_mean, x = cyl,
ymin = my_mean - my_se,
ymax = my_mean + my_se), stat="identity", width=0.75) +
geom_point(data = mtcars, aes(y = disp, x = cyl, fill = cyl)) +
theme_classic() + ylim(c(0,500))
p1