???? %是一種表示樹形數(shù)據(jù)的樹形關(guān)系及各個(gè)分類的占比的圖形，適合展現(xiàn)具有層級(jí)關(guān)系的數(shù)據(jù)，能夠直觀體現(xiàn)同級(jí)之間的比較。
安裝、加載所需R包
#安裝包
install.packages("treemap")
#加載包
library(treemap)
數(shù)據(jù)
#數(shù)據(jù)——隨機(jī)生成繪圖數(shù)據(jù)
set.seed(12)#種子
df <- data.frame(
samples=LETTERS[1:10],
group=rep(c('x','y'), 5),
value=sample(1:100, 10, replace = FALSE))
image.png
繪圖
1、查看繪圖參數(shù)：
#查看參數(shù)
??treemap
treemap(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,...)
?? ? ? 下面簡(jiǎn)單介紹常見的幾種圖形繪制，如果大家感興趣可以根據(jù)treemap()函數(shù)中的參數(shù)繪制自己喜歡的Treemap!
2、單一分組變量——只通過“samples”單一分類變量進(jìn)行繪圖：
1）根據(jù)值大小填色
treemap(df, #數(shù)據(jù)
index = "samples",#分類變量
vSize = "value",#分類變量對(duì)應(yīng)數(shù)據(jù)值
vColor="value",#顏色深淺的對(duì)應(yīng)列
type = "value",#"顏色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual"
title = 'Treemap',#標(biāo)題
border.col = "grey",#邊框顏色
border.lwds = 4,#邊框線寬度
fontsize.labels = 12,#標(biāo)簽大小
fontcolor.labels = 'red',#標(biāo)簽顏色
align.labels = list(c("center", "center")),#標(biāo)簽位置
fontface.labels = 2)#標(biāo)簽字體：1,2,3,4 表示正常、粗體、斜體、粗斜體
image.png
2）根據(jù)分類填色
treemap(df, #數(shù)據(jù)
index = "samples",#分類變量
vSize = "value",#分類變量對(duì)應(yīng)數(shù)據(jù)值
vColor="index",#顏色深淺的對(duì)應(yīng)列
type = "index",#"顏色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual"
title = 'Treemap',#標(biāo)題
border.col = "grey",#邊框顏色
border.lwds = 4,#邊框線寬度
fontsize.labels = 12,#標(biāo)簽大小
fontcolor.labels = 'white',#標(biāo)簽顏色
align.labels = list(c("center", "center")),#標(biāo)簽位置
fontface.labels = 2)#標(biāo)簽字體：1,2,3,4 表示正常、粗體、斜體、粗斜體
image.png
3、多個(gè)分類變量——基于“group”、“samples”兩個(gè)分類變量進(jìn)行繪圖：
1）根據(jù)值大小填色
treemap(df, #數(shù)據(jù)
index = c("group","samples"),#分類變量
vSize = "value",#分類變量對(duì)應(yīng)數(shù)據(jù)值
vColor="value",#顏色深淺的對(duì)應(yīng)列
type = "value",#"顏色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual"
title = 'Treemap',#標(biāo)題
border.col = c("black","white"),#邊框顏色
border.lwds = c(4,1),#邊框線寬度
fontsize.labels = c(18,10),#標(biāo)簽大小
bg.labels=c("transparent"),#標(biāo)題背景色
fontcolor.labels = c('white',"orange"),#標(biāo)簽顏色
align.labels = list(c("left", "top"),
c("center", "center")),#標(biāo)簽位置
fontface.labels = c(2,3))#標(biāo)簽字體：1,2,3,4 表示正常、粗體、斜體、粗斜體
image.png
2）根據(jù)分類填色
treemap(df, #數(shù)據(jù)
index = c("group","samples"),#分類變量
vSize = "value",#分類變量對(duì)應(yīng)數(shù)據(jù)值
palette = "Set1",#自定義調(diào)色
vColor="index",#顏色深淺的對(duì)應(yīng)列
type = "index",#"顏色映射方式,"index"、"value"、"comp"、"dens"、"depth"、"categorical"、"color"、"manual"
title = 'Treemap',#標(biāo)題
border.col = c("black","white"),#邊框顏色
border.lwds = c(4,1),#邊框線寬度
fontsize.labels = c(18,10),#標(biāo)簽大小
bg.labels=c("transparent"),#標(biāo)題背景色
fontcolor.labels = c('white',"orange"),#標(biāo)簽顏色
align.labels = list(c("left", "top"),
c("center", "center")),#標(biāo)簽位置
fontface.labels = c(2,3))#標(biāo)簽字體：1,2,3,4 表示正常、粗體、斜體、粗斜體
image.png
