"#ed3e37")) + scale_y_continuous(limits = c(2, 12),breaks = seq(2,12,2),expand = c(0, 0)) + labs(y = "F1 body weight (g)", x = "Paternal treatment") + ggtitle("P15")+ annotate("text", x = 1, y = 2.5, label = expression(italic("n=164"))) + ...
它也可以作为图片的主体statistics类annotate类annotate类：annotate类用于在图片上添加单独的标注annotate类sc...
Note that theannotate()function is a good alternative that can reduces the code length for simple cases. # librarylibrary(ggplot2)# basic graphp <-ggplot(mtcars,aes(x =wt,y =mpg))+geom_point()# a data frame with all the annotation infoannotation <-data.frame(x =c(2,4.5),y =c(20...
aes = list(size = 1)))+ geom_hline(yintercept = 0)+ geom_segment(data=fig3a1, aes(x=1:5-0.4,xend=1:5+0.4, y=value,yend=value), color="#ee82ee", lty="dashed")+ annotate(geom = "text",x=4.5,y=0.5, label=TeX(r"(\textit{h}${^2}{_S}{_N}{_P}=$\textit{h}${...
问用ggplot2绘制R中的生存曲线EN在临床研究中，生存曲线（又称Kaplan-Meier曲线）是最常用图片之一，旨在...
lty="dashed")+annotate(geom ="text",x=4.5,y=0.5, label=TeX(r"(\textit{h}${^2}{_S}{_N}{_P}=$\textit{h}${^2}{_G}{_W}{_S}+$\textit{h}${^2}{_o}{_t}{_h}{_e}{_r}$)"), vjust=-3)+ coord_cartesian(clip="off")+ ...
annotate( "text", label = "last year", x = nrow(data) - 1.5, y = data[2, 2] + 3.2, size = 4, color = "#A8A8A8", fontface = "bold" ) + geom_curve( aes( x = nrow(data) - 1.35, y = data[2, 2] + 3.2,
functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images. The package was originally written for internal use in the Wilke lab, hence the name (Claus O. Wilke's plot package). It has also been...
set.seed(10) df <- data.frame( date = Sys.Date() + 1:2, price = 1:2 ) ggplot(df, aes(date, price)) + geom_line() + # annotate("point", x = as.Date(Inf), y = 1.5, size = 30) works annotate("point", x = Inf, y = 1.5, size = 30) teunbrand mentioned this issu...
使用绘制多个分组的箱线图,有时为了提高可读性,会间隔性添加阴影多边形。本以为是很简单的事情,geom_rect或者annotate(geom =='rect')就能解决。不曾想,却费了好一番功夫。 具体需求如下 facet分页显示微生物和植物多样性 categorical variables多个环境变量 ...