ggplot2绘图系统——几何对象之直方图、密度图
1.直方图
参数。
geom_histogram(mapping = ,
data = ,
stat = 'bin', #统计变换,概率密度为density
position = 'stack',
binwidth = , #条柱宽度
bins = , #条柱数目,默认30
na.rm = FALSE,
show.legend = NA,
inherit.aes = TRUE
)
示例。
ggplot(diamonds,aes(carat))+
geom_histogram(fill='darkorchid4')
ggplot(diamonds,aes(carat))+
geom_histogram(fill='darkorchid4',bins=45)+
xlim(0,3)
# bins和binwidth
ggplot(diamonds,aes(carat))+
geom_histogram(fill='darkorchid4',bins = 300)
ggplot(diamonds,aes(carat))+
geom_histogram(fill='darkorchid4',binwidth = 0.01)
#binwidth参数是一个相对宽度
#颜色映射
ggplot(diamonds,aes(price,fill=cut))+
geom_histogram(binwidth = 500)
2.概率密度曲线
三种方法:
#stat=density
ggplot(diamonds,aes(price))+
geom_histogram(color='darkorchid4',stat='density')
#aes映射,..density..表示将y轴表示为density
ggplot(diamonds,aes(price, ..density..))+
geom_histogram(fill='darkorchid4',color='black')
#geom_density
ggplot(diamonds,aes(depth,fill=cut,color=cut))+
geom_density(alpha=0.1)+xlim(55,70)
原文地址:https://www.cnblogs.com/jessepeng/p/12307708.html
时间: 2024-11-05 19:41:26