bandit_sim: Run the Bandit Simulation shiny app

In StatsWithR/statsr: Companion Software for the Coursera Statistics with R Specialization

Description

Simulate data from a two armed-bandit (two slot machines) by clicking on the images for Machine 1 or Machine 2 and guess/learn which machine has the higher probability of winning as the number of outcomes of wins and losses accumulate.

Usage

bandit_sim()

See Also

bandit_posterior and plot_bandit_posterior

Examples

if (interactive()) {
# run interactive shiny app to generate wins and losses
bandit_sim()
}
# paste data from the shiny app into varible
data = data.frame(
 machine = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
   1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
   2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
   2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
   2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
   1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L,
   2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
   1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L), 
 outcome = c("W", "W", "W", "L", "W", "W", "W", "L", "W", "L", "W", "L",
  "L", "L", "W", "L", "W", "L", "L", "L", "W", "W", "W", "L", "L", "L", 
  "L", "L", "W", "W", "L", "L", "W", "L", "L", "W", "L", "L", "W", "L",
  "L", "L", "L", "L", "W", "L", "L", "W", "W", "W", "W", "L", "L", "L",
  "L", "L", "L", "W", "L", "W", "L", "W", "L", "L", "L", "L", "L", "L", "L",
  "L", "L", "L", "W", "W", "W", "L", "W", "L", "L", "L", "L", "L", "L", "L",
  "L", "L", "L", "W", "W", "W", "W", "W", "L", "W", "W", "L", "W", "L", "L",
  "L", "L", "L", "W", "L", "W", "L", "L", "L", "W", "W", "W", "W", "L", "L",
  "W", "L", "W", "L", "L", "W"))
  bandit_posterior(data)
  plot_bandit_posterior(data)

StatsWithR/statsr documentation built on Jan. 24, 2021, 10:12 a.m.