golf: Full factorial experiments to maximize a golfer's driving...

In pid: Process Improvement using Data

Description

A full factorial experiment with four factors run by a golf enthusiast. The objective of the experiments was for the golfer to maximize her driving distance at a specific tee off location on her local golf course. The golfer considered the following factors:

• T = Tee height (cm)

• H = Holes the golf ball had been played for prior to the experimental tee shot

• C = Club type

• D = Time of day (on the 24 hour clock)

The data are in standard order, however the actual experiments were run in random order.

Coded values for A, B, C, and D should be used in the linear regression model analysis, with -1 representing the low value and +1 the high value.

Usage

data(golf)

Format

A data.frame containing 16 observations of 4 variables (A, B, C, D, with y as a response variable.)

Source

A MOOC on Design of Experiments: “Experimentation for Improvement”, https://learnche.org

pid documentation built on May 2, 2019, 2:22 a.m.