【发布时间】:2021-02-15 22:15:17
【问题描述】:
我有两个使用来自两个单独数据集(男性与女性)的数据的图,我使用 ggarrange() 并排排列了这些数据。男性用实心圆圈表示,女性用空心圆圈表示。
如何添加图例以便读者了解哪个图表来自男性数据,哪个图表来自女性数据?
这是我的代码:
Pronotum_Width_Female <- c("6.5", "7.4", "7.0","6.2", "6.3", "6.3","6.0", "6.4", "6.9","6.6", "6.8", "7.2")
Year_Female <- c("1995", "1999", "2001","2003", "2005", "2007","2008", "2009", "2010","2011", "2012", "2013")
female <- data.frame(Pronotum_Width_Female, Year_Female)
Pronotum_Width_Male <- c("6.4", "5.9", "5.8","6.2", "6.5", "6.0","6.2", "5.7", "5.8","6.0", "6.1", "6.5")
Year_Male <- c("1995", "1999", "2001","2003", "2005", "2007","2008", "2009", "2010","2011", "2012", "2013")
male <- data.frame(Pronotum_Width_Male, Year_Male)
plot1 <- ggplot(female, aes(y=Pronotum_Width_Female,x=Year_Female)) +
geom_point(size = 2, shape = 1) +
labs(x="Year", y = "Pronotum Width (mm)") +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black")) +
theme(axis.title = element_text(size=15), # for axix
title = element_text(size=15),axis.text = element_text(size=15),
axis.title.x = element_text(vjust = 0),
axis.title.y = element_text(vjust = 2),
legend.title = element_text(vjust = 0.5))+
coord_cartesian(ylim=c(5,12))
plot2 <- ggplot(male, aes(y=Pronotum_Width_Male,x=Year_Male)) +
geom_point(size = 2) +
geom_smooth(method = "lm", se = TRUE,col="black",size=1) +
labs(x="Year", y = "Pronotum Width (mm)") +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
panel.background = element_blank(), axis.line = element_line(colour = "black")) +
theme(axis.title = element_text(size=15), # for axix
title = element_text(size=15),axis.text = element_text(size=15),
axis.title.x = element_text(vjust = 0),
axis.title.y = element_text(vjust = 2),
legend.title = element_text(vjust = 0.5))+
coord_cartesian(ylim=c(5,12))
ggarrange(plot2, plot1,
labels = c("a)", "b)"),
ncol = 2, nrow = 1)
【问题讨论】:
-
建议发布一个完全可重现的示例stackoverflow.com/questions/5963269/…(另外,您的代码的第一部分似乎被遗漏了)
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抱歉,我现在已经添加数据了。