seed(1234) ss <- sample(1:32, 15) df <- mtcars[ss, ] #(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_tex...
同时，通过调整geom_area和geom_text函数中的参数，我们可以进一步优化图表的显示效果。6 开始制图在ggplot2中，我们可以使用多种元素来进一步美化和完善图表。例如，通过调整legend.position参数，我们可以将图例隐藏，使其不显示在图表上。同时，利用strip.text参数，我们可以将条形图或面积图的标题和子标题设置为空白，...
代码语言:javascript 代码运行次数:0 运行 AI代码解释 library(ggplot2)world<-map_data("world")ggplot()+geom_polygon(data=world,aes(x=long,y=lat,group=group),fill="#dedede")+theme_bw()+scale_y_continuous(expand=expansion(mult=c(0,0)))+scale_x_continuous(expand=expansion(add=c(0,0)))-...
temptext1 <- "Add here notes. The plot above represents 10 random points drawn from Normal distribution. The plot is generated in order to visualize all the different options one can use for adding text to a plot. You can control this text size using the usual \"cex\" argument. \nYou...
library(ggplot2)library(readr)library(tidyverse)library(stringr) 部分示例数据集截图 image.png 用来调节因子水平的文本我也放到了一个文件里 image.png 作图代码 代码语言:javascript 代码运行次数:0 运行 AI代码解释 df1<-read_csv("fig4b1.csv")df1$Genus<-factor(df1$Genus,levels=readLines("fig4b1_levels...
# Setupoptions(scipen=999)library(ggplot2)data("midwest",package="ggplot2")theme_set(theme_bw())# Add plot components ---gg<-ggplot(midwest,aes(x=area,y=poptotal))+geom_point(aes(col=state,size=popdensity))+geom_smooth(method="loess",se=F)+xlim(c(0,0.1))+ylim(c(0,500000))+la...
ggplot(cty_mpg, aes(x=make, y=mileage)) + geom_point(size=3) + geom_segment(aes(x=make, xend=make, y=0, yend=mileage)) + labs(title="Lollipop Chart", subtitle="Make Vs Avg. Mileage", caption="source: mpg") + theme(axis.text.x = element_text(angle=65, vjust...
ggplot, even if it doesn’t have ggplot-specific color scale functions, with ggplot’s manual scale functions and the color palette values, such as scale_color_manual(values=c(“#486030”, “#c03018”, “#f0a800”)).Add color and other styling to ggplot2 text: ggtextThe ggtext ...
从ggplot2包中的钻石数据集diamonds中随机抽取500个样本,绘制简单气泡图进行演示。执行以下代码得到的结果如图3-19所示。 > data("diamonds",package = "ggplot2") > # 随机抽取500个样本 > diamonds1 <- diamonds[sample(1:nrow(diamonds),500),]
ggplot(data1, aes(x=name, y=prop,fill=name)) + geom_bar(stat = "identity",width =0.6)+ scale_fill_nejm()+ theme_ipsum()+ xlab("组别")+ ylab("组值")+ ggtitle("R语言与医学生")+ theme(legend.position = "none")+ scale_y_continuous(labels = scales::percent)+coord_flip() 2.3...