(2) Create a scatter plot: 绘制散点图 p <- ggplot(df, aes(wt, mpg)) + geom_point(color = 'red') + theme_classic(base_size = 10) #(3) Add text labels: 添加文本标签 # Add text annotations using ggplot2::geom_text p1 <- p + geom_text(aes(label = rownames(df)), size =...
由于图和轴标题是文本组成部分,因此element_text()可用于对其进行修改。在下面,我更改了大小,颜色,面和线高。可以通过更改来旋转轴文本angle。 library(ggplot2)# Base Plot 基础绘图gg<-ggplot(midwest,aes(x=area,y=poptotal))+geom_point(aes(col=state,size=popdensity))+geom_smooth(method="loess",se=...
"mi|Ag|BD|SH"),"plain","italic")p2<-ggplot(df2,aes(Amplicon,Genus))+geom_tile(aes(fill=Abundance))+geom_text(aes(label=round(Abundance,2)))+scale_fill_gradientn(colors=rev(c("#a50026","#d73027","#
Text annotations using geom_text and geom_label library(ggplot2)# Simple scatter plotsp<-ggplot(df,aes(wt,mpg,label=rownames(df)))+geom_point()# Add textssp+geom_text()# Change the size of the textssp+geom_text(size=6)# Change vertical and horizontal adjustementsp+geom_text(hjust=0...
library(ggtext)dftext<-data.frame(x=c(-180,-150,-10,100,50,-50),y=c(40,-50,-50,-50,50,60),label=c("**North america**<br>3 countries<br>107 cities<br>145WWTPs","**South american**<br>2 countries<br>29 cities<br>38 WWTPs",3,4,5,6))world.map01+theme(legend.position...
# Add text at a particular coordinate sp + geom_text(x = 3, y = 30, label = "Scatter plot", color="red") # geom_label()进行注释 sp + geom_label(aes(label=rownames(df))) # annotation_custom(),需要用到textGrob() library(grid) # Create a text grob <- grobTree(textGrob("Sca...
# Add text at a particular coordinate sp + geom_text(x = 3, y = 30, label = "Scatter plot", color="red") 1. 2. 3. # geom_label()进行注释 sp + geom_label(aes(label=rownames(df))) 1. 2. # annotation_custom(),需要用到textGrob() library(grid) # Create a text grob <-...
首先生成一个textGrob对象 label<-textGrob("Label",x=unit(1,"npc")-unit(5,"mm"),y=unit(1,"npc")-unit(5,"mm"),just=c("right","top")) 先简单的画一画 grid.rect()grid.draw(label) 他就这么静静的出现在你的figure里。接下来,将label添加到你的figure中,有两种方式: ...
# Change breaks + label # letters字母表 gg + scale_x_continuous(breaks=seq(0, 0.1, 0.01), labels = letters[1:11]) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 如果需要反转刻度,请使用scale_x_reverse()/scale_y_reverse() ...
(Group2,~label2))%>%as.matrix()#I repeat making 7 labels objects to then cbind:labels=cbind(labels1,labels2,labels3,labels4,labels5,labels6,labels7)heatmaply(groups,custom_hovertext=labels,file="heatmaply_plot.html",scale_fill_gradient_fun=ggplot2::scale_fill_gradient2(low="p...