1.直方图
直方图和柱形图的区别:直方图表示频数,柱形图表示数量。
一般直方图的X轴表示取值范围,Y轴表示频数
hist() 函数
> hist(rnorm(1000)) #1000个正态随机数的直方图
> hist(islands) #岛屿数据集直方图
2.概率密度直方图
> air<-read.csv("airpollution.csv") > hist(air$Nitrogen.Oxides, + freq=FALSE, #不显示频数,显示概率 + xlab="Nitrogen Oxide Concentrations", + main="Distribution of Nitrogen Oxide Concentrations")
3.调整直方图范围密度
> hist(air$Nitrogen.Oxides, + breaks=20, #设置范围数 + xlab="Nitrogen Oxide Concentrations", + main="Distribution of Nitrogen Oxide Concentrations")
> hist(air$Nitrogen.Oxides, + breaks=c(0,100,200,300,400,500,600), #指定范围 + xlab="Nitrogen Oxide Concentrations", + main="Distribution of Nitrogen Oxide Concentrations")
4.直方图美化
①颜色美化
> hist(air$Respirable.Particles, + prob=TRUE, #纵坐标轴显示概率而不是频数 + col="black", + border="white", xlab="Respirable Particle Concentrations", + main="Distribution of Respirable Particle Concentrations")
②线条美化
> par(yaxs="i",las=1) > hist(air$Respirable.Particles, prob=TRUE, + col="black",border="white", + xlab="Respirable Particle Concentrations", + main="Distribution of Respirable Particle Concentrations") > box(bty="l") #设置坐标轴样式 > grid(nx=NA,ny=NULL, #X轴没有线条,Y轴自动计算线条位置 + lty=1,lwd=1,col="gray") #设置线条的样式、宽度和颜色
5.标识密度函数Density()函数
> par(yaxs="i",las=1) > hist(air$Respirable.Particles, + prob=TRUE,col="black",border="white", + xlab="Respirable Particle Concentrations", + main="Distribution of Respirable Particle Concentrations") + box(bty="l") > lines(density(air$Respirable.Particles,na.rm=T), #density()作密度函数 + col="red",lwd=4) > grid(nx=NA,ny=NULL,lty=1,lwd=1,col=" gray")
6.散点图+直方图
> panel.hist <- function(x, ...) + { + par(usr = c(par("usr")[1:2], 0, 1.5) ) + hist(x, + prob=TRUE, + add=TRUE,col="bla ck",border="white") + } > plot(iris[,1:4], + main="Relationships between characteristics of iris flowers", + pch=19,col="blue",cex=0.9, + diag.panel=panel.hist) #对角线画直方图
> layout(matrix(c(2,0,1,3),2,2,byrow=TRUE), + widths=c(3,1), heights=c(1,3), TRUE) > par(mar=c(5.1,4.1,0.1,0)) #画散点图 > plot(air$Respirable.Particles~air$Nitrogen.Oxides, pch=19,col="black", xlim=c(0,600),ylim=c(0,80), + xlab="Nitrogen Oxides Concentrations", + ylab="Respirable Particle Concentrations") > par(mar=c(0,4.1,3,0)) #画上方的直方图 > hist(air$Nitrogen.Oxides, breaks=seq(0,600,100), + ann=FALSE,axes=FALSE, #无注释,无坐标轴 + col="black",border="white") > yhist <- hist(air$Respirable.Particles, + breaks=seq(0,80,10),plot=FALSE) > par(mar=c(5.1,0,0.1,1)) #画右边的直方图 > barplot(yhist$density, horiz=TRUE, + space=0,axes=FALSE, + col="black",border="white")
转载于:https://www.cnblogs.com/all1008/p/10033004.html