create_data: Create data

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Description

Generate simulated dataset that can be used for testing and reproducible examples.

Usage

  create_data(n = 1000)

Arguments

n	Number of observations to be simulated

Details

The function create_data generates a data.frame with n rows (defaults to 1,000) and the following 13 columns:

• profit [double] - simulated as rnorm(n)

• cogs [double] - simulated as rnorm(n)

• fixed_cost [double] - simulated as rnorm(n)

• rnd [double] - simulated as rnorm(n)

• assets [double] - simulated as rnorm(n)

• competition [double] - simulated as rnorm(n)

• quality [double] - simulated as rnorm(n)

• board_size [double] - simulated as rnorm(n)

• ceo_age [double] - simulated as rnorm(n)

• female_ceo [logical] - simulated as as.logical(rbinom(n, 1, 0.5))

• industry [character] - simulated as sample(c("A", "B", "C", "D"), n, replace = TRUE)

• country [character] - simulated as sample(c("A", "B", "C", "D"), n, replace = TRUE)

• firm_value [double] - simulated as the result of the other variables, using random weights (runif()) and a random error term (rnorm())

Value

data.frame or tibble (when package tibble is available) with n rows and 13 columns.

Examples

  create_data()
  create_data(n = 50)

ha-pu/supportR documentation built on Sept. 13, 2020, 5:52 p.m.