html - R: output a pivot-like table with subtotals -


i'm trying make cross tabulation in r, , having output resemble as possible i'd in excel pivot table. objective replace report made manually excel , word 1 automated r markdown; data wrangling , charts have been taken care of tables missing. so, given 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 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 close excel results. need display subtotals, (generated in excel using exact same data):

excel pivot table results subtotals

is possible @ in r (without manually coding table cell-by-cell)?

thanks!

replace 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                         7    479151 3354057  ministry  2 department  1  2    170818  341637              department  2  1    183373  183373              department  3  3    415480 1246440                         6    295242 1771449  ministry  3 department  1  0       nan       0              department  2  5    680102 3400509              department  3  2    165118  330235                         7    532963 3730744                        20    442813 8856250

update: correction.


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