annotate("text",x=0.95, y=3, label = "2 or dashed : ", hjust=1)+ annotate("text",x=0.95, y=4, label = "3 or dotted : ", hjust=1)+ annotate("text",x=0.95, y=5, label = "4 or dotdash : ", hjust=1)+ annotate("text",x=0.95, y=6, label = "5 or longdash : "...
# Position legend in graph, where x,y is 0,0 (bottom left) to 1,1 (top right) bp + theme(legend.position=c(.5, .5)) # Set the "anchoring point" of the legend (bottom-left is 0,0; top-right is 1,1) # Put bottom-left corner of legend box in bottom-left corner of graph...
ggpubr::annotate_figure() 代码语言:javascript 代码运行次数:0 运行 AI代码解释 figure <- ggarrange(sp, 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("Dat...
annotate()函数的便利性在其他情况下也很有用。例如,注释的一种常见形式是通过在主数据集下方绘制不同颜色的较大点来突出显示点的子集。要突出显示subaru制造的车辆,我们可以使用以下内容创建基本绘图:library(dplyr) p <- ggplot(mpg, aes(displ, hwy)) + # 绘制突出点 geom_point( data = filter(mpg, ...
annotate(): 文本注释 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...
+ annotate(geom = "point", x = 5.5, y = 40) + + annotate(geom = "text", x = 5.6, y = 40, label = "toyota", hjust = "left") 1. 2. 3. 4. 5. 分别设置点、颜色以及标签于具体的坐标上 设置注释 注释可以为特定的数据点添加标签,在面对表示离群点或其他重要点的情况中尤为有效 ...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 b=p+annotate('segment',x=2.5,xend=4,y=15,yend=25,color='blue') b 代码语言:javascript 代码运行次数:0 运行 AI代码解释 c=p+annotate('pointrange',x=3.5,y=20,ymin=12,ymax=28,color='red',size=1.5) c ...
ggpubr::annotate_figure() figure <- ggarrange(sp, 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", ...
编者按:数据可视化是解析、理解和展示数据不可缺少的一部分。炫或不炫看个人喜好和功底,能否达意是最基本的要求---最合适的图示和配色表达最直观的含义。长文多图预警,这是关于ggplot2使用的极详细教程(190+图),是入门和晋级参考的不二手册。 前面部分是关于qplot的使用,后面是ggplot2图层的使用。原文使用R自带数据...
(Each label is placed all the way to the top of each plot.) hjust Adjusts the horizontal position of each label. More negative values move the label further to the right on the plot canvas. Can be a single value (applied to all labels) or a vector of values (one for each label)....