position = "dodge", ..., draw_quantiles = NULL, trim = TRUE, bounds = c(-Inf, Inf), scale = "area", na.rm = FALSE, orientation = NA, show.legend = NA, inherit.aes = TRUE ) 示例: ggplot(mpg, aes(drv, hwy)) + geom_violin() 8. geom_jitter() geom_jitter()是geom_point(...
position设置分组柱状图的类型,"stack"堆叠柱状图,"fill"标准化的堆叠柱状图,"dodge"非堆叠的并排分组柱状图,"jitter"一般用于散点图,给每个点加上随机噪声变成抖点,使重叠点得以分散。如position = position_dodge(0.9),dodge后的数值用于调整柱子之间的距离。 ggplot文字的上标:用的是expression函数中的paste参数中的...
geom_jitter(data=df1,aes(x=group,y=y,color=x), position = position_jitterdodge(0.2)) image.png
"B","A","A","A","B","B","B"),y=c(1,1,1,4,5,6,1,2,3,4,5,6),group=c("G1","G1","G1","G1","G1","G1","G2","G2","G2","G2","G2","G2"))library(ggplot2)ggplot()+geom_jitter(data=df1,aes(x=group,y=y,color=x),position=position_jitterdodge(0.2...
除了上述参数之外,geom_jitter还可以通过设置position参数来控制扰动的方向,包括"identity"(默认值,表示沿着x轴或y轴方向扰动),"jitter"(表示在x和y方向同时扰动),"dodge"(表示在x轴方向分组扰动)等选项。 总的来说,geom_jitter函数可以帮助我们在绘制散点图时更好地展示数据的分布情况,避免数据重叠导致的信息丢失...
position_jitterdodge(jitter.width = NULL, jitter.height = 0, dodge.width = 0.75, seed = NA) 仅仅用于箱线图和点图在一起的情形,且有顺序的,必须箱子在前,点图在后,抖动只能用在散点几何对象中, jitter.width 默认40%, jitter.height 默认0 ...
position = "dodge2", ..., outlier.colour = NULL, outlier.color = NULL, outlier.fill = NULL, outlier.shape = 19, outlier.size = 1.5, outlier.stroke = 0.5, outlier.alpha = NULL, notch = FALSE, notchwidth = 0.5, varwidth = FALSE, na.rm = FALSE, ...
"jitter":通过对点的位置添加随机噪声来避免重叠。可以通过width参数控制噪声的幅度。 "dodge":在每个x值上分开点的位置,使其水平间距增加。可以通过width参数控制点之间的距离。 以下是一个示例代码,演示如何使用geom_point函数增加重叠点之间的水平间距:
我希望在geom_boxplot()上有一个散点图,这样我就可以在实际发行版的顶部显示这些点。在我的数据中,x有几个不同的分类值(Year或Gender)和y的分析值范围。如果在同一x类中有y值接近的点,我想把这些点并排画在水平线上。我试过使用geom_jitter和geom_point、position_dodge、position_stack和...
position="fill" position = "dodge" places overlapping objects directly beside one another. This makes it easier to compare individual values. position="dodge" geom_point作图时注意overplotting问题 position="jitter" R语言绘图 更多精彩内容,就在简书APP ...