【发布时间】:2022-07-07 22:45:21
【问题描述】:
我无法自定义 ggplot (geom_point) 输出。
- 具有黑色轮廓但按组填充颜色不同(白色和黑色)的点
- 有没有办法将图例合二为一?
数据
library(dplyr)
library(ggplot2)
dat <- structure(list(q = c(1L, 1L, 2L, 2L, 3L, 3L, 4L, 4L, 5L, 5L),
is_female = structure(c(1L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 1L,
2L), levels = c("Male", "Female"), class = "factor"), mean_exp = c(19.3095475534936,
19.2351713991988, 21.6718804471611, 21.69517120871, 23.4144749290445,
23.4191383190372, 25.2817658487443, 25.2772340355605, 28.3982168611512,
28.7869521340185), mean_fi = c(0.0915386254018914, 0.0912295567094683,
0.0771055282779973, 0.0790597510143077, 0.0859508568981647,
0.088489590940481, 0.109848283385112, 0.11358904634185, 0.128425331060705,
0.136830729164909), b_fi.frail = c(1, 1, 1, 1, 1, 1, 1, 1,
1, 1), pct = c(47.5830407777478, 52.4169592222522, 37.567084078712,
62.432915921288, 36.9897959183673, 63.0102040816327, 34.0960360941025,
65.9039639058975, 29.0891283055828, 70.9108716944172)), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -10L), groups = structure(list(
q = 1:5, .rows = structure(list(1:2, 3:4, 5:6, 7:8, 9:10), ptype = integer(0), class = c("vctrs_list_of",
"vctrs_vctr", "list"))), class = c("tbl_df", "tbl", "data.frame"
), row.names = c(NA, -5L), .drop = TRUE))
我的尝试:
ggplot(dat, aes(x=mean_exp, y=mean_fi, linetype=is_female)) +
geom_point(aes(color=is_female, fill=is_female), size=2, shape="square") +
geom_line() +
scale_x_continuous(limits = c(18, 30), breaks = seq(20, 30, 5), expand = c(0,0)) +
scale_y_continuous(limits = c(0.05, 0.15), breaks = seq(0.05, 0.15, 0.02), expand = c(0,0)) +
scale_color_manual(values = c("M" = "black", "F" = "black")) +
scale_fill_manual(values = c("M" = "black", "F" = "white")) +
labs(x= expression(Body ~ mass ~ index ~ (kg/m^2)), y= "Mean baseline FI score", title = "BMI") +
theme_classic() +
theme(plot.title = element_text(hjust=0.5),
legend.position = "bottom")
出于某种原因,我的代码输出了一个带有灰色点和线的图形。我想要黑色线条和轮廓(但根据组用黑色或白色填充点)并尽可能结合图例。
我知道那里有很多类似的例子,但我似乎无法弄清楚为什么我的代码不起作用...提前感谢您的帮助!
【问题讨论】:
-
不要使用
M和F使用Male和Female,它们是数据中类别的标签。