Description Usage Arguments Details Value References Examples

Function to compute how many pizzas to order based on arguments provided.
Defaults to **thin** crust.

1 2 | ```
pizza_estimate(registered = 120, pizza_diameter = 18, attend_rate = 0.6,
serving = 2, style = "thin")
``` |

`registered` |
Integer. The number of people registered on Meetup.com |

`pizza_diameter` |
Integer. Diameter of the largest pizza available in inches. Defaults to 18 inches for an extra large pizza. |

`attend_rate` |
Numeric of type double. The percentage estimate of attendance.
Defaults to 60 percent attendance rate, expressed as |

`serving` |
Integer or Numeric. Number of servings per person. Default is 2 and does not have to be a whole number. See references for methodology! |

`style` |
Character vector of either "thin", "pan", or "deepdish".
Defaults to "thin" crust, please read the |

Chicago thin crust is cut into small squares, known as "tavern style" or "party cut".

Channeling our ever-curious pizza scientist, * it turns out*, the
"party cut" inherits a few very attractive properties when dividing multiple
pizzas among

By requesting the "party cut", one reduces the tragedy that is wasted pizza and exhibits great stewardship of the sponsor resources entrusted to them.

`pizza_estimate`

returns a `data.frame`

containing 5 variables.
These are `registered, est_attend, eaters_per_pizza, style, and the pizza_estimate`

.

Lisa R. Young, Ph.D., R.D. Nestle USA Site: Enjoy Pizza and PDF: The Fun of Pizza, the Balance of Good Nutrition, page 5.

1 2 | ```
pizza_estimate(registered=150, pizza_diameter=18, attend_rate=0.60, serving = 2,
style = "thin")
``` |

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