A ggplot Memo: Legend, Label and Font Size 1. Introductionggplot is one of the most famous library in R and I use it very ofen in daily workflow. But there are three topics I seldomly touch before: legend, label and font size.
bp + font("x.text", size = 10), ncol = 1, nrow = 2) annotate_figure(figure, top = text_grob("Visualizing mpg", color = "red", face = "bold", size = 14), bottom = text_grob("Data source: \n mtcars data set", color = "blue", hjust = 1, x = 1, face = "italic",...
Length, fill = Species)) + geom_boxplot() + geom_hline(aes(yintercept = 4), color = "blue", size = 4/lwd_pt) + geom_text(x = 1, y = 7, label = "fontsize = 10", size = 10/.pt) + labs(title = "data = iris") # ggsave(filename = "./pt.pdf", width = 6, hei...
description = "Gentoo penguins are generally bigger in size"), size = 1.5, label.fontsize = 36 ) + labs(x = "Flipper Length [mm]", y = "Body Mass [g]", colour = "Species", shape = "Species") + theme_gray(base_size = 33) pngfile <- fs::path(knitr::fig_path(), "themin...
geom_text(aes(0.5, 1, label = "CASC9 SFTA2\nCOL1A1 SPARC"), hjust = 1, vjust =-0.1, fontface="italic") 使用ggplot,geom_veen作图: p=ggplot(data_veen,aes(A=`UEC`,B=`CEC`))+geom_venn(auto_scale=T,set_name_size=4,fill_color=c("#BCCC35","#5DBBA1"),set_name_color=c(...
size = 4, label.colour = NA, fill = NA) p 从这里可知,在绘制richtext文本时,在目标文本前后分别加上<span>、</span>,在前者里面加上如style = 'color:#E69F00'的内容表示给文本添加颜色,而直接在目标文本前后分别加上**表示文本加粗。
# 对于主题元素来说,字体大小(size)的单位为磅(pt) # 要设置文本几何对象的外观,只需设置其文本属性即可 p+annotate("text",x=15,y=53,label="Some text",size=7,family="Times",fontface="bold.italic",colour="red") p+geom_text(aes(label=weightLb),size=4,family="Times",colour="red") ...
library(ggplot2)d <- data.frame(x="">10), y=rnorm(10), lab=LETTERS[1:10])p <- ggplot(d,="" aes(x,="" y))="" +="" ="" geom_text(aes(label="lab," color="lab)," size="">10) + geom_text(aes(y, x, label=lab), size=3) ...
(data=label_data,aes(x=id,y=value+5.5,label=type,hjust=hjust,color=name),fontface="plain",size=2.5,show.legend=F,angle=label_data$angle,inherit.aes=FALSE)+scale_color_manual(values=colors)+# 添加外圈geom_segment(aes(x=0,y=14,xend=66.5,yend=14),size=1.5,color="#3B9AB2",arrow=...
添加文本,标签和注释(Adding Text, Label and Annotation) 翻转和反转X和Y轴(Flipping and Reversing X and Y Axis) 分面:在一个图形中绘制多个图(Faceting: Draw multiple plots within one figure) 修改图背景,长轴和短轴(Modifying Plot Background, Major and Minor Axis) ...