昨晚熬夜整理的超级R绘图技巧——USing ggplot（下）
# 加载需要的包 library(tidyverse) library(gcookbook)21.使用facet_grid(x~.)分页
ggplot(iris,aes(Sepal.Length))+ geom_histogram(fill='lightblue',colour='red')+ facet_grid(Species~.)
22.三个因素相互覆盖的柱形图
ggplot(iris,aes(Sepal.Length,fill=Species))+ geom_histogram(bins=30,position = 'identity',alpha=0.5)23.柱形图密度图结合
ggplot(faithful,aes(waiting,..density..))+ geom_histogram(fill='cornsilk',colour='grey60',size=2)+ geom_density()# 将x轴线限制在一个范围 ggplot(faithful,aes(waiting,..density..))+ geom_histogram(fill='cornsilk',colour='grey60',size=2)+ geom_density()+ xlim(35,105)24.频率多变图geom_freqpoly
ggplot(faithful,aes(waiting))+ geom_freqpoly()# 进一步更改 ggplot(faithful,aes(waiting))+ geom_freqpoly(binwidth=4)25.outlier.size设置箱型图异常值的大小和形状
ggplot(iris,aes(x=factor(Species),y=Sepal.Length))+ geom_boxplot(outlier.size = 5,outlier.shape = 21)26.notch增加凹凸口
ggplot(iris,aes(x=factor(Species),y=Sepal.Length))+ geom_boxplot(notch = TRUE)27.点线柱子结合，做个点线柱子图试试
ggplot(BOD,aes(Time,demand))+ geom_bar(stat = 'identity',fill='lightblue')+ geom_line(size=2,colour='red')+ geom_point(size=5,colour='blue')28.scale_y_log10()对y轴进行log化,使得y轴的数据相差减小
ggplot(worldpop,aes(Year,Population))+ geom_line()+ geom_point()+ scale_y_log10()29.geom_ribbon画置信区间
ggplot(climate,aes(Year,Anomaly10y))+ geom_ribbon(aes(ymin=Anomaly10y-Unc10y, ymax=Anomaly10y+Unc10y))+ geom_line()+ xlim(1800,1850)30.采用虚线画置信区间
ggplot(climate,aes(Year,Anomaly10y))+ geom_line(aes(y=Anomaly10y-Unc10y),colour='grey50',linetype='dotted')+ geom_line(aes(y=Anomaly10y+Unc10y),colour='grey50',linetype='dotted')+ geom_line()+ xlim(1800,1850)31.geom_hline等给图形添加线
ggplot(mtcars,aes(mpg,cyl))+ geom_point()+ geom_hline(yintercept = 5,size=2)+ geom_vline(xintercept = 25,size=2)32.geom_abline画斜线
ggplot(mtcars,aes(mpg,cyl))+ geom_point()+ geom_abline(intercept=1,slope =0.3)33.通过annotate函数给图中增加箭头
ggplot(climate,aes(Year,Anomaly10y))+ geom_line()+ annotate('segment',x=1850,xend = 1900, y=0,yend=-0.1,colour='blue', size=2,arrow=arrow())34.使用annotate的rect给图形添加阴影
ggplot(climate,aes(Year,Anomaly10y))+ geom_line()+ annotate('rect',xmin = 1850,xmax = 1900, ymin=-0.75,ymax = 0,fill='blue',alpha=.3)35.直接使用ggtitle添加标题
ggplot(climate,aes(Year,Anomaly10y))+ geom_line()+ ggtitle('这里是标题')36.Theme设置图形的网格线
# panel.grid.major = element_line()修改网格主线 # panel.grid.minor = element_line()修改网格次线 # panel.background = element_rect()修改网格背景颜色 #panel.border = element_rect()修改网格边线 # element_line()适合修改线 # element_rect()适合修改矩形 ggplot(climate,aes(Year,Anomaly10y))+ geom_line()+ theme(panel.grid.major = element_line(colour='red'), panel.grid.minor = element_line(colour='red',linetype = 'dashed',size=0.2), panel.background = element_rect(fill='lightblue'), panel.border = element_rect(colour = 'blue',fill = NA,size=2))37.Theme修改每个标题
# axis.title.x = element_text()修改x轴的标题 # axis.text.x = element_text()修改x轴 # plot.title = element_text()修改ggtitle的字体格式 ggplot(climate,aes(Year,Anomaly10y))+ geom_line()+ ggtitle('这里是标题')+ theme( axis.title.x = element_text(colour = 'red',size=24), axis.text.x = element_text(colour = 'blue',size=22), axis.title.y=element_text(colour='red',size=24), axis.text.y=element_text(colour = 'blue',size=22), plot.title = element_text(colour='red',size=20,face = 'bold'))38.通过theme修改标签
p38 <- ggplot(cabbage_exp,aes(Date,Weight,fill=Cultivar))+ geom_bar(stat = 'identity',position ='dodge')# legend.background = element_rect()修改legend的背景 # legend.title = element_text()修改legend的标题 # legend.text = element_text()修改legend字体颜色 # legend.key=element_rect()修改legend的外边框 p38+theme( legend.background = element_rect(fill='grey85',colour = 'red',size=1), legend.title = element_text(colour='blue',face = 'bold',size=14), legend.text = element_text(colour = 'red',size=18), legend.key=element_rect(colour = 'red',size=0.25))# 去除legend的方法 p38+theme(legend.position = 'none')# 修改legend的位置,将其放在顶端 p38+theme(legend.position = 'top')#使用坐标固定legend的位置 p38+theme(legend.position = c(.85,.2))+ theme(legend.background =element_rect(fill = 'lightblue',colour='black',size=1))# 修改legend的名称 p38+labs(fill='这是legend的名称')# 修改legend的label的名字 p38+scale_fill_discrete(labels=c('第一','第二')) 赞 (0)