其他
R可视化——矩形树图的绘制
矩形树图（Treemap）是一种表示树形数据的树形关系及各个分类的占比的图形，适合展现具有层级关系的数据，能够直观体现同级之间的比较。
安装、加载所需R包
#安装包install.packages("treemap")#加载包library(treemap)数据
#数据——随机生成绘图数据set.seed(12)#种子df <- data.frame( samples=LETTERS[1:10], group=rep(c('x','y'), 5), value=sample(1:100, 10, replace = FALSE))绘图
1、查看绘图参数：
#查看参数??treemaptreemap(dtf,index,vSize,vColor = NULL,stdErr = NULL, type = "index",fun.aggregate = "sum",title = NA,title.legend = NA, algorithm = "pivotSize",sortID = "-size",mirror.x = FALSE,mirror.y = FALSE, palette = NA,palette.HCL.options = NULL,range = NA,mapping = NA, n = 7,na.rm = TRUE,na.color = "#DDDDDD",na.text = "Missing", fontsize.title = 14,fontsize.labels = 11, fontsize.legend = 12,fontcolor.labels = NULL, fontface.labels = c("bold", rep("plain", length(index) - 1)), fontfamily.title = "sans",fontfamily.labels = "sans", fontfamily.legend = "sans",border.col = "black", border.lwds = c(length(index) + 1, (length(index) - 1):1), lowerbound.cex.labels = 0.4,inflate.labels = FALSE,bg.labels = NULL, force.print.labels = FALSE,overlap.labels = 0.5,align.labels = c("center", "center"), xmod.labels = 0,ymod.labels = 0,eval.labels = FALSE,position.legend = NULL, reverse.legend = FALSE,format.legend = NULL,drop.unused.levels = TRUE, aspRatio = NA,vp = NULL,draw = TRUE,...)下面简单介绍常见的几种图形绘制，如果大家感兴趣可以根据treemap()函数中的参数绘制自己喜欢的Treemap!1）根据值大小填色
treemap(df, #数据 index = "samples",#分类变量 vSize = "value",#分类变量对应数据值 vColor="value",#颜色深浅的对应列 type = "value",#"颜色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual" title = 'Treemap',#标题 border.col = "grey",#边框颜色 border.lwds = 4,#边框线宽度 fontsize.labels = 12,#标签大小 fontcolor.labels = 'red',#标签颜色 align.labels = list(c("center", "center")),#标签位置 fontface.labels = 2)#标签字体：1,2,3,4 表示正常、粗体、斜体、粗斜体2）根据分类填色
treemap(df, #数据 index = "samples",#分类变量 vSize = "value",#分类变量对应数据值 vColor="index",#颜色深浅的对应列 type = "index",#"颜色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual" title = 'Treemap',#标题 border.col = "grey",#边框颜色 border.lwds = 4,#边框线宽度 fontsize.labels = 12,#标签大小 fontcolor.labels = 'white',#标签颜色 align.labels = list(c("center", "center")),#标签位置 fontface.labels = 2)#标签字体：1,2,3,4 表示正常、粗体、斜体、粗斜体1）根据值大小填色
treemap(df, #数据 index = c("group","samples"),#分类变量 vSize = "value",#分类变量对应数据值 vColor="value",#颜色深浅的对应列 type = "value",#"颜色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual" title = 'Treemap',#标题 border.col = c("black","white"),#边框颜色 border.lwds = c(4,1),#边框线宽度 fontsize.labels = c(18,10),#标签大小 bg.labels=c("transparent"),#标题背景色 fontcolor.labels = c('white',"orange"),#标签颜色 align.labels = list(c("left", "top"), c("center", "center")),#标签位置 fontface.labels = c(2,3))#标签字体：1,2,3,4 表示正常、粗体、斜体、粗斜体2）根据分类填色
treemap(df, #数据 index = c("group","samples"),#分类变量 vSize = "value",#分类变量对应数据值 palette = "Set1",#自定义调色 vColor="index",#颜色深浅的对应列 type = "index",#"颜色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual" title = 'Treemap',#标题 border.col = c("black","white"),#边框颜色 border.lwds = c(4,1),#边框线宽度 fontsize.labels = c(18,10),#标签大小 bg.labels=c("transparent"),#标题背景色 fontcolor.labels = c('white',"orange"),#标签颜色 align.labels = list(c("left", "top"), c("center", "center")),#标签位置 fontface.labels = c(2,3))#标签字体：1,2,3,4 表示正常、粗体、斜体、粗斜体参考：https://r-graph-gallery.com/treemap.html
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