annotation_custom : Add a static text annotation in the top-right, top-left, … The functionsannotation_custom()andtextGrob()are used to add static annotations which are the same in every panel.Thegridpackage is required : library(grid)# Create a textgrob<-grobTree(textGrob("Scatter plot"...
对于geom_text()和annotate()这类绘图函数，我们可以在函数参数中直接进行文本对象的相关设置。例如，在上述图表中，我们就在aes()函数中直接指定了文本字体和颜色。若要使用annotate()函数增加标注，可以采用类似的方法。在原有图表的基础上，我们添加了一个红色的“special”字体标注，内容为“annotation”，其代码实...
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=...
#(2) annotation_custom : Add a static text annotation in the top-right, top-left, … library(grid) # Create a text grob <- grobTree(textGrob("Scatter plot", x=0.1, y=0.95, hjust=0, gp=gpar(col="red", fontsize=13, fontface="italic"))) # Plot grob1 <- sp2 + annotation_cu...
3. 添加文本,标签和注释(Adding Text, Label and Annotation) 3.1 如何在点周围添加文本和标签(How to Add Text and Label around the Points) 3.2 如何在绘图中的任何地方添加注释(How to Add Annotations Anywhere inside Plot) ...
annotation_custom(): 分面时可以在所有的面板进行文本注释 set.seed(1234) df <- mtcars[sample(1:nrow(mtcars), 10), ] df$cyl <- as.factor(df$cyl) 1. 2. 3. 散点图注释 # Scatter plot sp <- ggplot(df, aes(x=wt, y=mpg))+ geom_point() # Add text, change colors by groups sp...
Using ggplot2, 2 main functions are available for that kind of annotation: geom_text to add a simple piece of text geom_label to add a label: framed text Note that the annotate() function is a good alternative that can reduces the code length for simple cases. # library library(ggplo...
(title.position="top"))->p1.1p2+coord_flip()+theme(axis.text.x=element_text(angle=60,vjust=1,hjust=1),legend.position="top")+guides(fill=guide_legend(title.position="top"))->p2.1p1.1/p2.1+plot_layout(guides="collect")+plot_annotation(theme=theme(legend.position="top",legend....
# Textual annotation df$name <- rownames(df) p10 <- ggscatter(df, x = "wt", y = "mpg", color = "cyl", palette = c("#00AFBB", "#E7B800", "#FC4E07"), label = "name") p10 1 2 3 4 p11 <- ggscatter(df, x...
ggplot图的元素可以主要可以概括如下:最大的是plot(指整张图,包括background和title),其次是axis(包括stick,text,title和stick)、legend(包括backgroud、text、title)、facet这是第二层次,其中facet可以分为外部strip部分(包括backgroud和text)和内部panel部分(包括backgroud、boder和网格线grid,其中粗的叫grid.major,细...