businessPlanR (version 0.1-0)

operations,-class: S4 Class operations

Description

This class is used for objects that contain all transactions of the business plan.

Slots

period

A character vector defining beginning and end of the time period covered by the business plan. Values can either be a vector of two in YYYY.MM format, or a numeric vector of full fiscal years which will automatically be transformed into character.

revenue

Data frame containing type, category, name, and all revenues, each month in a column named YYYY.MM. If these are not covering period exactly, missing values will be set to zero.

expense

Data frame containing all expenses, data structure like the revenue slot.

loan

Data frame, basically the plan slot as in transaction_plan with plan_type="loan".

depreciation

Data frame, like loan, but with plan_type="depreciation", respectively.

misc

A list to keep miscellaneous data or information for documentation or re-use.

Constructor function

Should you need to manually generate objects of this class, the constructor function operations(...) can be used instead of new("operations", ...).

Examples

rev_2019_2021_merch <- revenue(
   type="Sale",
   category="Merch",
   name="T-Shirts",
   "2019.01"=100,
   "2019.08"=267,
   "2020.03"=344,
   "2020.09"=549,
   "2021.02"=770,
   "2021.07"=1022,
   "2021.12"=1263
)
rev_2019_2021_rec <- revenue(
   type="Sale",
   category="Records",
   name="Albums",
   "2019.01"=220,
   "2019.08"=234,
   "2020.03"=221,
   "2020.09"=354,
   "2021.02"=276,
   "2021.07"=285,
   "2021.12"=311
)
rev_2019_2021_inv <- revenue(
   type="Invest income",
   category="Rent",
   name="Studio",
   "2019.01"=120,
   "2019.08"=234,
   "2020.03"=321,
   "2020.09"=454,
   "2021.02"=376,
   "2021.07"=385,
   "2021.12"=211
)
exp_2019_2021_merch <- expense(
   type="Goods",
   category="Merch",
   name="T-Shirts",
   "2019.01"=65,
   "2019.07"=170,
   "2020.02"=210,
   "2020.08"=312,
   "2021.01"=450,
   "2021.06"=600,
   "2021.12"=720
)
exp_2019_2021_rec <- expense(
   type="Goods",
   category="Records",
   name="Pressing",
   "2019.01"=1860,
   "2019.02"=0,
   "2020.08"=600,
   "2020.09"=0,
   "2021.12"=0
)

op_2019_2021 <- operations(
    period=c("2019.01", "2021.12") # alternative: 2019:2021
) 
update_operations(op_2019_2021) <- rev_2019_2021_merch
update_operations(op_2019_2021) <- exp_2019_2021_merch
update_operations(op_2019_2021) <- rev_2019_2021_rec
update_operations(op_2019_2021) <- exp_2019_2021_rec
update_operations(op_2019_2021) <- rev_2019_2021_inv