p<- ggplot(data.frame())+geom_point()+xlim(0,10)+ylim(0,10)## 基础绘图p 002、增加文本 an1 <- p + annotate("text", x =5, y =5, label ="Some text")## 增加文本an1 003、修改颜色、字体、大小等; aaa <- p + annotate("text", x =5, y =5, label ="Some text", cex=1...
annotate(geom = "text",x = 0,y = 0.1, label = expression(H[1]),color = "blue",size = 12)+ # 使用expression 函数,表达式遵循plotmath语法,下标用[]表示 annotate(geom = "text",x = 0,y = 0.2, label = expression(H_4),color = "blue",size = 12)+# 使用expression 函数,表达式不遵...
p+annotate(geom="point",x=2.620,y=21.0,colour="red",size=5) 3)想在原有点外加一个圈,怎么办呢? 代码语言:javascript 代码运行次数:0 运行 AI代码解释 p+annotate(geom="point",x=2.620,y=21.0,colour="red",size=3)+annotate(geom="point",x=2.620,y=21.0) 额,,我想到的是图层叠加,有其他办...
annotate('segment', x = 2019, y = 20, xend = 2018.5, yend = 25, size = 1.2, arrow = arrow()) + #文本型注释 annotate('text', x = 2019, y = 20, label = '输入信息1', colour = 'red')+ #参考线 geom_abline()、geom_vline() geom_hline(yintercept = mean(test$Num), lin...
< 2.2e-16 > # First generate prediction data > pred <- predictvals(model, "ageYear", "heightIn") > # Save a base plot > hw_sp <- ggplot(heightweight, aes(x = ageYear, y = heightIn)) + + geom_point() + + geom_line(data = pred) > hw_sp + + annotate("text", x = ...
p + geom_point(aes(colour = Species)) + stat_smooth() + labs(title = "Iris of Sepal.length \n According to the Sepal.Width") + theme_classic() + theme_bw() +annotate("text",x=7,y=4,parse = T,label = "x[1]==x[2]",size=6, family="serif",fontface="italic", colour=...
+ annotate("plot_npc", npcx = "left", npcy = "bottom", label = p) + expand_limits(y = 0, x = 0) # medians computed on-the-fly displayed marginal arrows. # 实时计算的中位数显示边缘箭头。 ggplot(mtcars, aes(wt, mpg, colour =...
>px<-ggplot(mtcars,aes(wt,mpg))+geom_point() >px+annotate("rect",xmin=2,xmax=3.5,ymin=2,ymax=25,fill="dark grey",alpha=.5) >library(grid) >px+geom_segment(aes(x=5,y=30,xend=3.5,yend=25),arrow=arrow(length=unit(0.5,"cm"))) ...
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(ggplot2) # basic graph p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() # a data frame with all the ...
第一列是变量名 第二列是变量对应的数值 第二步:数据读入使用ggplot2作图 在excel将数据选中复制,然后运行代码 代码语言:javascript 代码运行次数:0 df<-read.table("clipboard",header=T)library(ggplot2)ggplot(df,aes(x,y))+geom_col(width=0.5,aes(fill=x))+geom_segment(aes(x=1,xend=1,y=10,yen...