# Box plot with jittered points # 0.2 : x 方向的抖动程度 p + geom_jitter(shape=16, position = position_jitter(0.2)) 4.按分组修改箱线图颜色 4.1修改箱线图线的颜色 p = ggplot(ToothGrowth, aes(x=dose, y=len, color = dose)) + geom_boxplot() p 也可以使用以下函数手动更改箱线图的颜...
# Box plot with dot plot p+ geom_dotplot(binaxis='y', stackdir='center', dotsize=1) # Box plot with jittered points #0.2: degree of jitterinx direction p+ geom_jitter(shape=16, position=position_jitter(0.2)) 7,旋转箱线图 函数coord_flip()用于翻转笛卡尔坐标系,使水平变为垂直,垂直变...
# Box plot with dot plot p+ geom_dotplot(binaxis='y', stackdir='center', dotsize=1) # Box plot with jittered points #0.2: degree of jitterinx direction p+ geom_jitter(shape=16, position=position_jitter(0.2)) 7,旋转箱线图 函数coord_flip()用于翻转笛卡尔坐标系,使水平变为垂直,垂直变...
通过aes(color=)函数可以为每个箱线图设置一个颜色,而箱线图的划分是通过 aes(color=)函数的color参数来划分的,划分箱线图之后,scale_color_*()函数才会起作用,该函数用于为每个箱线图设置前景色和填充色,颜色是自定义的: scale_fill_manual() #for box plot, bar plot, violin plot, etc ...
#Loaddatadata("ToothGrowth")df<-ToothGrowthhead(df,4)#Boxplotswithjitteredpoints#:::#Changeoutlinecolorsbygroups:dose#Usecustomcolorpalette#Addjitterpointsandchangetheshapebygroupsp<-ggboxplot(df,x="dose",y="len",color="dose",palette=c("#00AFBB","#E7B800","#FC4E07"),add="jitter",sha...
# Box plot with jittered points # 0.2: degree of jitterin x direction p + geom_jitter(shape=16, position=position_jitter(0.2)) 7,旋转箱线图 函数coord_flip()用于翻转笛卡尔坐标系,使水平变为垂直,垂直变为水平,主要用于把显示y条件x的geoms和统计信息转换为x条件y。
# Box plot with jittered points # 0.2 : degree of jitter in x direction p + geom_jitter(shape=16, position=position_jitter(0.2)) # Change box plot line colors by groups p<-ggplot(ToothGrowth, aes(x=dose, y=len, color=dose)) + ...
p <- p + labs(title = "Grouped Boxplot with Scatterplot", x = "Group", y = "Value") 最后,使用print函数打印图形: 代码语言:txt 复制 print(p) 这样就可以在R中使用ggplot2绘制分组散点图了。 对于推荐的腾讯云相关产品和产品介绍链接地址,由于要求不能提及具体的云计算品牌商,这里无法提供...
(50), rnorm(50, mean = 2), rnorm(50, mean = 3)) ) # 绘制箱线图和数据点 ggplot(data, aes(x = group, y = value)) + geom_boxplot() + geom_jitter(width = 0.2, height = 0, alpha = 0.5) + labs(title = "Boxplot with Connected Data Points", x = "Group", y = "Value...
1.1 散点图(Scatterplot) 1.2 带边界的散点图(Scatterplot With Encircling) 1.3 抖动图(Jitter Plot) 1.4 计数图(Counts Chart) 1.5 气泡图(Bubble Plot) 1.6 边际直方图/箱线图(Marginal Histogram / Boxplot) ...