利用R语言的ggplot2包绘制直方图

library(ggplot2)set.seed(1234)df <- data.frame(sex = factor(rep(c("F", "M"),each=200)),weight=round(c(rnorm(200, mean=55, sd=5), rnorm(200, mean=65, sd=5)))  )head(df) sex weight1   F     492   F     563   F     604   F     435   F     576   F     58

ggplot(df, aes(x=weight)) +geom_histogram(binwidth=1,color="black",fill="white")# 改变 bins 和 颜色

ggplot(df, aes(x=weight)) +geom_histogram(binwidth=1,color="black", fill="lightblue",linetype="dashed")+ #设置框线类型，颜色和fill的颜色geom_vline(aes(xintercept=mean(weight)), color="blue", linetype="dashed", size=1) #添加均值线，设置线型，颜色等

ggplot(df, aes(x=weight)) + geom_histogram(aes(y=..density..), colour="black", fill="white")+ # 需要密度形式 geom_density(alpha=.2, fill="#FF6666")

ggplot(df, aes(x=weight, color=sex)) +geom_histogram(fill="white", alpha=0.5, position="identity")

library(plyr)mu <- ddply(df, "sex", summarise, grp.mean=mean(weight))p<-ggplot(df, aes(x=weight, color=sex)) +  geom_histogram(fill="white", position="dodge")+  geom_vline(data=mu, aes(xintercept=grp.mean, color=sex),             linetype="dashed")+  theme(legend.position="top")p

# Use custom color palettesp+scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))# Use brewer color palettesp+scale_color_brewer(palette="Dark2")# Use grey scalep + scale_color_grey() + theme_classic() + theme(legend.position="top")

ggplot(df, aes(x=weight, fill=sex, color=sex)) +  geom_histogram(binwidth=1,position="identity", alpha=0.5)+ geom_vline(data=mu, aes(xintercept=grp.mean),linetype="dashed")

ggplot(df, aes(x=weight, color=sex, fill=sex))+geom_histogram(binwidth=1,aes(y=..density..), position="identity", alpha=0.5)+geom_density(alpha=0.6)+geom_vline(data=mu, aes(xintercept=grp.mean, color=sex),linetype="dashed")+scale_color_manual(values=c("#999999", "#E69F00", "#56B4E9"))+scale_fill_manual(values=c("#999999", "#E69F00", "#56B4E9"))+labs(title="Weight histogram plot",x="Weight(kg)", y ="Density")+theme_classic()