我正在尝试在R中进行交叉制表,并使其输出尽可能地类似于我在Excel数据透视表中获得的内容.目标是用Excel和Word自动替换用Excel和Word手动生成的报告;已经处理了数据争论和图表,但缺少一些表格.所以,鉴于此代码:
set.seed(2)
df<-data.frame("ministry"=paste("ministry ",sample(1:3,20,replace=T)),"department"=paste("department ",sample(1:3,20,replace=T)),"program"=paste("program ",sample(letters[1:20],20,replace=F)),"budget"=runif(20)*1e6)
library(tables)
library(dplyr)
arrange(df,ministry,department,program)
tabular(ministry*department~((Count=budget)+(Avg=(mean*budget))+(Total=(sum*budget))),data=df)
产量(实际数据要复杂得多):
Avg Total
ministry department Count budget budget
ministry 1 department 1 5 479871 2399356
department 2 1 770028 770028
department 3 1 184673 184673
ministry 2 department 1 2 170818 341637
department 2 1 183373 183373
department 3 3 415480 1246440
ministry 3 department 1 0 NaN 0
department 2 5 680102 3400509
department 3 2 165118 330235
这与Excel结果一样接近.我需要显示小计,就像这样(使用完全相同的数据在Excel中生成):
是否有可能在R中得到这样的东西(没有手动编码逐个单元格的表格)?
谢谢!
最佳答案 将左侧更换为:
ministry * (department + 1) + 1
也就是说,试试这个:
tabular(ministry * (department + 1) + 1 ~
((Count = budget) + (Avg = (mean * budget)) + (Total = (sum * budget))),
data = df)
赠送:
Avg Total
ministry department Count budget budget
ministry 1 department 1 5 479871 2399356
department 2 1 770028 770028
department 3 1 184673 184673
All 7 479151 3354057
ministry 2 department 1 2 170818 341637
department 2 1 183373 183373
department 3 3 415480 1246440
All 6 295242 1771449
ministry 3 department 1 0 NaN 0
department 2 5 680102 3400509
department 3 2 165118 330235
All 7 532963 3730744
All 20 442813 8856250
更新:更正.