## 饼图(柱状图+极坐标) ggplot(dat, aes(x="", y = num, fill = city)) + geom_bar(width = 1,stat = "identity") + coord_polar(theta = "y") + geom_text(aes(y = pos, label = paste(round(num / sum(num) * 100, 2), "%", ""))) + scale_fill_manual(values = rainbow...
ggplot(diamond)+geom_bar(aes(x=clarity, fill=cut)) 注:ggplot2会通过x变量自动计算各个分类的数目。 #直接指定个数,需要通过stat参数,指定geom_bar按特定高度画图 ggplot()+geom_bar(aes(x=c(LETTERS[1:5]),y=1:5), stat="identity") 区分与联系: 直方图把连续型的数据按照一个个等长的分区(bin)切...
ggplot(diamond)+geom_bar(aes(x=clarity, fill=cut)) 注:ggplot2会通过x变量自动计算各个分类的数目。 #直接指定个数,需要通过stat参数,指定geom_bar按特定高度画图 ggplot()+geom_bar(aes(x=c(LETTERS[1:5]),y=1:5), stat="identity") 区分与联系: 直方图把连续型的数据按照一个个等长的分区(bin)切...
ggplot(diamond)+geom_bar(aes(x=factor(1), fill=cut))+coord_polar() 1. #饼图 ggplot(diamond)+geom_bar(aes(x=factor(1), fill=cut))+coord_polar(theta="y") 1. #风玫瑰图(windrose) ggplot(diamond)+geom_bar(aes(x=clarity, fill=cut))+coord_polar() 1. 七 图层(Layer) ggplot的强大...
#设置position="dodge",side-by-side地画直方图 ggplot(diamond)+geom_histogram(aes(x=price, fill=cut), position="dodge") #设置使用position="fill",按相对比例画直方图 ggplot(diamond)+geom_histogram(aes(x=price, fill=cut), position="fill") ...
Details about underlying functions used to create graphics and statistical tests carried out can be found in the function documentation: https://indrajeetpatil.github.io/ggstatsplot/reference/ggbarstats.htmlFor more, also read the following vignette: https://indrajeetpatil.github.io/ggstatsplot/...
plot of chunk unnamed-chunk-3 使图形从0开始 代码语言:javascript 复制 tmp<-data.frame(cols=paste0("col",1:5),values=seq(20,60,by=10))# 默认图形的底部总是留有空隙 p<-ggplot(tmp,aes(cols,values))+geom_bar(stat="identity")# 只需要使用expand参数即可,非常简单!
library(ggplot2)ggplot(Salaries, aes(x=rank, y=salary))geom_boxplot(fill="cornflowerblue",color="black", notch=TRUE)+geom_point(position="jitter", color="blue", alpha=.5)+geom_rug(side="l", color="black") 图19-6 按排名来描述大...
ggplot(mpg,aes(displ,hwy,shape=drv,colour=cty,size=year))+geom_point(aes(alpha=cyl))+guides(colour=guide_colourbar(position="bottom"),size=guide_legend(position="top"),alpha=guide_legend(position="inside"))+theme(legend.position="left") ...
plt<-plt+scale_x_continuous(limits =c(0,55.5),breaks =seq(0,55,by =5),expand =c(0,0),# The horizontal axis does not extend to either sideposition ="top"# Labels are located on the top)+# The vertical axis only extends upwardsscale_y_discrete(expand =expansion(add =c(0,0.5))...