simulater: Simulate data for decision analysis

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

Simulate data for decision analysis

Description

Simulate data for decision analysis

Usage

simulater(
  const = "",
  lnorm = "",
  norm = "",
  unif = "",
  discrete = "",
  binom = "",
  pois = "",
  sequ = "",
  grid = "",
  data = NULL,
  form = "",
  funcs = "",
  seed = NULL,
  nexact = FALSE,
  ncorr = NULL,
  name = "",
  nr = 1000,
  dataset = NULL,
  envir = parent.frame()
)

Arguments

const	A character vector listing the constants to include in the analysis (e.g., c("cost = 3", "size = 4"))
lnorm	A character vector listing the log-normally distributed random variables to include in the analysis (e.g., "demand 2000 1000" where the first number is the log-mean and the second is the log-standard deviation)
norm	A character vector listing the normally distributed random variables to include in the analysis (e.g., "demand 2000 1000" where the first number is the mean and the second is the standard deviation)
unif	A character vector listing the uniformly distributed random variables to include in the analysis (e.g., "demand 0 1" where the first number is the minimum value and the second is the maximum value)
discrete	A character vector listing the random variables with a discrete distribution to include in the analysis (e.g., "price 5 8 .3 .7" where the first set of numbers are the values and the second set the probabilities
binom	A character vector listing the random variables with a binomial distribution to include in the analysis (e.g., "crash 100 .01") where the first number is the number of trials and the second is the probability of success)
pois	A character vector listing the random variables with a poisson distribution to include in the analysis (e.g., "demand 10") where the number is the lambda value (i.e., the average number of events or the event rate)
sequ	A character vector listing the start and end for a sequence to include in the analysis (e.g., "trend 1 100 1"). The number of 'steps' is determined by the number of simulations
grid	A character vector listing the start, end, and step for a set of sequences to include in the analysis (e.g., "trend 1 100 1"). The number of rows in the expanded will over ride the number of simulations
data	Dataset to be used in the calculations
form	A character vector with the formula to evaluate (e.g., "profit = demand * (price - cost)")
funcs	A named list of user defined functions to apply to variables generated as part of the simulation
seed	Optional seed used in simulation
nexact	Logical to indicate if normally distributed random variables should be simulated to the exact specified values
ncorr	A string of correlations used for normally distributed random variables. The number of values should be equal to one or to the number of combinations of variables simulated
name	Deprecated argument
nr	Number of simulations
dataset	Data list from previous simulation. Used by repeater function
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/model/simulater.html for an example in Radiant

Value

A data.frame with the simulated data

See Also

summary.simulater to summarize results

plot.simulater to plot results

Examples

simulater(
  const = "cost 3",
  norm = "demand 2000 1000",
  discrete = "price 5 8 .3 .7",
  form = "profit = demand * (price - cost)",
  seed = 1234
) %>% str()

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