以下为书中代码，会添加一些理解
bash
library("ggplot2")
ggplot(data=mtcars,aes(x=wt,y=mpg))+
geom_point()+geom_point(pch=17,color="blue",size=2)+
geom_smooth(method="lm",color="red",linetype=2)+
labs(title="Automobile Data",x="Weight",y="Miles per Gallon")
#分面
mtcars$am<-factor(mtcars$am,levels=c(0,1),
labels = c("Automatic","Manual"))
mtcars$vs<-factor(mtcars$vs,levels=c(0,1),
labels=c("V","S"))
mtcars$cyl<-factor(mtcars$cyl)
ggplot(data=mtcars,aes(x=wt,y=mpg,shape=cyl,color=cyl))+
geom_point(size=3)+facet_grid(am~vs)+labs(title="Automobile Data by Engine Type",
x="Horsepower",y="Miles per Gallon")
data(singer,package="lattice")
ggplot(singer,aes(x=height))+geom_histogram()
ggplot(singer,aes(x=voice.part,y=height))+geom_boxplot()
install.packages("carData")
data(Salaries, package="carData")
ggplot(singer,aes(x=voice.part,y=height))+
geom_violin(fill="lightblue")+
geom_boxplot(fill="lightgreen",width=.2)
ggplot(data=Salaries,aes(x=salary,fill=rank))+
geom_density(alpha=.3)
ggplot(Salaries,aes(x=yrs.since.phd,y=salary,color=rank,
shape=sex))+geom_point()
ggplot(Salaries,aes(x=rank,fill=sex))+geom_bar(position="stack")+labs(title='position="stack"')
ggplot(Salaries,aes(x=rank,fill=sex))+geom_bar(position="dodge")+labs(title='position="dodge"')
ggplot(Salaries,aes(x=rank,fill=sex))+geom_bar(position="dodge")+labs(title='position="fill"')
#将y轴改为y="proportion"
ggplot(Salaries,aes(x=rank,fill=sex))+geom_bar(position="dodge")+labs(title='position="fill"',y="proportion")
#fill在aes()函数中，应该是变量的名称，在函数外，应该是颜色
ggplot(Salaries,aes(x=rank,fill=sex))+geom_bar()
ggplot(Salaries,aes(x=rank))+geom_bar(fill="red")
ggplot(Salaries,aes(x=rank,fill="red"))+geom_bar()
#刻面
ggplot(singer,aes(x=height))+geom_histogram()+facet_wrap(~voice.part,nrow=4)
ggplot(Salaries,aes(x=yrs.since.phd,y=salary,color=rank,
shape=rank))+geom_point()+facet_grid(.~sex)
ggplot(singer,aes(x=height,fill=voice.part))+geom_density()+facet_grid(voice.part~.)
#添加光滑曲线
ggplot(Salaries,aes(x=yrs.since.phd,y=salary))+
geom_smooth()+geom_point()
ggplot(Salaries,aes(x=yrs.since.phd,y=salary,
linetype=sex,shape=sex,color=sex))+
geom_smooth(method=lm,formula=y~poly(x,2),se=FALSE,size=1
)+geom_point(size=2)
#修改ggplot()图形外观
ggplot(Salaries,aes(x=rank,y=salary,fill=sex))+
geom_boxplot()+
scale_x_discrete(breaks=c("AsstProf","AssocProf","Prof"),
labels=c("assis",
"associate",
"Full"))+
scale_y_continuous(breaks=c(50000,100000,150000,200000),
labels=c("$50K","$100K","$150K","$200K"))+
labs(title='test',x="",y="")
#图例
ggplot(Salaries,aes(x=rank,y=salary,fill=sex))+
geom_boxplot()+
scale_x_discrete(breaks=c("AsstProf","AssocProf","Prof"),
labels=c("assis",
"associate",
"Full"))+
scale_y_continuous(breaks=c(50000,100000,150000,200000),
labels=c("$50K","$100K","$150K","$200K"))+
labs(title='test',x="",y="",fill="Gender")+theme(legend.position = c(.1,.8))
ggplot(mtcars,aes(x=wt,y=mpg,size=disp))+geom_point(shape=21,color="black",fill="cornsilk")+
labs(x="Weight",y="Miles Per Gallon",
title="Bubble Chart",size="Engize\nDisplacement")
ggplot(Salaries,aes(x=yrs.since.phd,y=salary,color=rank))+scale_color_manual(values=c("orange","olivedrab","navy"))+geom_point(size=2)
mytheme<-theme(plot.title = element_text(face="bold.italic",size="14",color="brown"),
axis.title=element_text(face="bold.italic",size = 10,color = "brown"),
axis.text=element_text(face="bold",size=9,
color="darkblue"),
panel.background = element_rect(fill="white",
color="darkblue"),
panel.grid.major.y = element_line(color="gray",
linetype=1),
panel.grid.minor.y=element_line(color="grey",
linetype=2),
panel.grid.minor.x=element_blank(),
legend.position = "top")
ggplot(Salaries,aes(x=rank,y=salary,fill=sex))+
geom_boxplot()+labs(title = "Salary by Rank and sex",x="Rank",y="Salary")+mytheme