geom_histogram(aes(fill = cut), binwidth = 0.1, position = "fill", na.rm = TRUE) + xlim(58, 68) + theme(legend.position = "none") #核密度图 p5 <- ggplot(diamonds, aes(depth)) + geom_density(na.rm = TRUE) + xlim(58, 68) + theme(legend.position = "none") #分组和密度...
ggplot(mpg,aes(x=hwy)) + geom_histogram(aes(fill = factor(year), y = ..density..),alpha = 0.3, colour = 'black') + stat_density(geom = 'line', position = 'identity', size = 1.5,aes(colour = factor(year))) + facet_wrap(~ year, ncol = 1) 等价形式 geom_density=stat_densi...
ggplot(mpg,aes(x=hwy))+geom_histogram() 2.内置的统计变换 geom_histogram()默认使用stat_bin(按照区间统计频数)这个统计变换, 而这个统计变换会生成(1)count:每个组里观测值的数目, (2)density:每个组里观测值的密度和(3)x:组的中心位置这三个变量 ①调整分箱(bin),即直方图的宽度binwidth ggplot(mpg,...
p4<-p+geom_density(aes(fill=sex),alpha=0.4)+# 添加垂直线,me为性别均值geom_vline(aes(xintercept=grp.mean,color=sex),data=me,linetype="dashed")+# 以下为配色方案scale_color_manual(values=c("#868686FF","#EFC000FF"))+scale_fill_manual(values=c("#868686FF","#EFC000FF"))p3+p4 His...
Box plot, violin plot and dot plot Histogram and density plots Box plots Basic box plots Box plot with dots Change box plot colors by groups Change box plot line colors Change box plot fill colors Change the legend position Change the order of items in the legend ...
密度图geom_density() 点图geom_dotplot() 频率多边图geom_freqpoly() 直方图geom_histogram() 经验累积密度图stat_ecdf() QQ图stat_qq() 对于一个离散变量: 条形图geom_bar() 面积图 改变颜色 注意:y轴默认为变量weight的数量即count,如果y轴要显示密度,可用以下代码: ...
4.1 直方图(Histogram) 4.3 密度图(Density plot) 4.4 箱形图(Box Plot) 4.5 点+箱形图(Dot + Box Plot) 4.6 簇状箱形图(Tufte Boxplot) 4.7 小提琴图(Violin Plot) ...
ggplot(diamonds, aes(price)) + geom_histogram(binwidth = 500) x轴变量是price,而y周变量默认为count(计数): 实际上,如果加以设置, geom_histogram()函数内部是经过统计变换的,过程中生成 density这个变量。于是在函数 geom_histogram()中增加 aws(y=..density..)这个设定,就可以将y轴的映射改为stat中间生...
histogram:直方图 density:密度分布图 bar:柱状图 前两种我们看过了,bar类型下面另讲,jitter以后有机会再说,看看其他4种类型: qplot(carat, price, data = diamonds, color=cut, geom = "smooth", main = "smooth") qplot(cut, price, data = diamonds, fill=cut, geom = "boxplot", main = "boxplot...
Combine histogram and density plots : # Change line colors by groups ggplot(df, aes(x=weight, color=sex, fill=sex)) + geom_histogram(aes(y=..density..), position="identity", alpha=0.5)+ geom_density(alpha=0.6)+ geom_vline(data=mu, aes(xintercept=grp.mean, color=sex), l...