beachLocDF: Dataframe where each row represents data about one of the 26...

In causact: Fast, Easy, and Visual Bayesian Inference

Dataframe where each row represents data about one of the 26 mile markers (fake) from mile 0 to mile 2.5 along the Ocean City, MD beach/boardwalk.

Description

Dataframe where each row represents data about one of the 26 mile markers (fake) from mile 0 to mile 2.5 along the Ocean City, MD beach/boardwalk.

Usage

beachLocDF

Format

A data frame with 26 rows and 3 variables:

mileMarker

a number representing a location on the Ocean City beach/boardwalk.

beachgoerProb

The probability of any Ocean City, MD beachgoer (during the hot swimming days) exiting the beach at that mile marker.

expenseEst

The estimated annual expenses of running a business at that location on the beach. It is assumed a large portion of the expense is based on commercial rental rates at that location. More populated locations tend to have higher expenses.

causact documentation built on April 12, 2025, 1:40 a.m.