分享12种基于ggplot2的漂亮图表绘制方法

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01 发散PCA散点图 PCA (Principal Component Analysis) 散点图，是科研文章中常见的一类散点图。下面就以PCA散点图为例，为大家介绍如何使用ggplot2绘制好看的散点图。 #读入数据； dt  "PCA_data.csv") #载入ggplot2绘图包； library (ggplot2) library (ggh4x) #绘制实心散点图； p1     stat_centroid (aes(xend = PC1, yend = PC2, colour = Diagnosis),                  geom  = "segment" , crop_other = F,                  alpha =0.3,size = 1,show.legend = F)+    geom_point (size=3,alpha=0.7,               color = "white" ,shape = 21,show.legend = T)+    scale_color_manual (name= "" ,                       values  = c( "#FF9999" , "#c77cff" ))+    scale_fill_manual (name= "" ,                       values  = c( "#FF9999" , "#c77cff" ))+    scale_x_continuous (expand=expansion(add = c(0.7,0.7)),                       l ………………………………