我正在绘制一个显示两组回归系数和标准误差的图,其图形如下:
我要进一步做的是添加额外的变量,而y轴上没有任何数据。例如,在标签FeatGender
的顶部放置标签FeatGenderMale
,或者在另一个示例中,在标签FeatEU
和{的标签之间放置标签FeatPartyIDLiberal Democrats
。 {1}}。以下是数据的简化版本:
FeatEUIntegrationSupportEUIntegration
这是我的代码:
coef se low high sex
1 -0.038848364 0.02104994 -0.080106243 0.002409514 Female
2 0.095831201 0.02793333 0.041081877 0.150580526 Female
3 0.050972670 0.02828353 -0.004463052 0.106408391 Female
4 -0.183558492 0.02454943 -0.231675377 -0.135441606 Female
5 0.044879447 0.02712518 -0.008285914 0.098044808 Female
6 -0.003858672 0.03005477 -0.062766024 0.055048681 Male
7 0.003048763 0.04687573 -0.088827676 0.094925203 Male
8 0.015343897 0.03948959 -0.062055700 0.092743494 Male
9 -0.132600259 0.04146323 -0.213868197 -0.051332322 Male
10 -0.029764559 0.04600719 -0.119938650 0.060409533 Male
感谢您的帮助!
答案 0 :(得分:2)
这是一种先将v_name
应用于源数据帧,然后再将v_name
向量的附加版本用于轴的方法。
library(ggplot2); library(dplyr)
# Add the v_name into the table
temp2 <- temp %>% group_by(sex) %>% mutate(v_name = v_name) %>% ungroup()
# Make the dummy label for axis with add'l entries
v_name2 <- append(v_name, "FeatGender", after = 0)
v_name2 <- append(v_name2, "FeatEU", after = 4)
# Plot using the new table
t <- ggplot(temp2, aes(x=v_name, y=coef, group=sex, colour=sex))
t +
geom_point(position = position_dodge(width = 0.3)) +
geom_errorbar(aes(ymin = low, ymax = high, width = 0), position = position_dodge(0.3)) +
coord_flip() +
# ... but use the larger list of axis names
scale_x_discrete(limits = rev(v_name2)) +
geom_hline(yintercept = 0.0, linetype = "dotted") +
theme(legend.position = "bottom")