repeater: Repeated simulation

In radiant-rstats/radiant.model: Model Menu for Radiant: Business Analytics using R and Shiny

Repeated simulation

Description

Repeated simulation

Usage

repeater(
  dataset,
  nr = 12,
  vars = "",
  grid = "",
  sum_vars = "",
  byvar = ".sim",
  fun = "sum",
  form = "",
  seed = NULL,
  name = "",
  envir = parent.frame()
)

Arguments

dataset	Return value from the simulater function
nr	Number times to repeat the simulation
vars	Variables to use in repeated simulation
grid	Character vector of expressions to use in grid search for constants
sum_vars	(Numeric) variables to summaries
byvar	Variable(s) to group data by before summarizing
fun	Functions to use for summarizing
form	A character vector with the formula to apply to the summarized data
seed	Seed for the repeated simulation
name	Deprecated argument
envir	Environment to extract data from

See Also

summary.repeater to summarize results from repeated simulation

plot.repeater to plot results from repeated simulation

Examples

simdat <- simulater(
  const = c("var_cost 5", "fixed_cost 1000"),
  norm = "E 0 100;",
  discrete = "price 6 8 .3 .7;",
  form = c(
    "demand = 1000 - 50*price + E",
    "profit = demand*(price-var_cost) - fixed_cost",
    "profit_small = profit < 100"
  ),
  seed = 1234
)

repdat <- repeater(
  simdat,
  nr = 12,
  vars = c("E", "price"),
  sum_vars = "profit",
  byvar = ".sim",
  form = "profit_365 = profit_sum < 36500",
  seed = 1234,
)

head(repdat)
summary(repdat)
plot(repdat)

radiant-rstats/radiant.model documentation built on Nov. 29, 2023, 5:59 a.m.