R: output a pivot-like table with subtotals

Question

I'm trying to make a cross tabulation in R, and having its output resemble as much as possible what I'd get in an Excel pivot table. The objective is to replace a report made manually with Excel and Word with one automated with R Markdown; data wrangling and charts have been already taken care of but some tables are missing. So, given this code:

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)

which yields (actual data is much more complicated):

                                 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

This is as close as I could get to Excel results. I need to display subtotals, like this (generated in Excel using the exact same data):

Is it possible at all to get something like this in R (without manually coding the table cell-by-cell)?

Thanks!

Answer 1

Replace the left hand side with:

ministry * (department + 1) + 1

That is, try this:

tabular(ministry * (department + 1) + 1 ~
           ((Count = budget) + (Avg = (mean * budget)) + (Total = (sum * budget))), 
        data = df)

giving:

                                 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

Update: correction.