MetalCutting: Data sets in Edwards, Weese and Palmer (2014)

In OBsMD: Objective Bayesian Model Discrimination in Follow-Up Designs

Data sets in Edwards, Weese and Palmer (2014)

Description

Design factors and responses used in the examples of Edwards, Weese and Palmer (2014)

Usage

data(MetalCutting)

Format

A data frame with 64 observations on the following 8 variables.

blk

block

A

numeric vector. Tool speed.

B

numeric vector. Workpiece speed.

C

numeric vector. Depth of cut.

D

numeric vector. Coolant.

E

numeric vector. Direction of cut.

F

numeric vector. Number of cut.

Ytransformed

numeric vector. Response.

References

Edwards, D. J. P., Weese, M. L. and Palmer, G. A. (2014) Comparing methods for design follow-uprevisiting a metal-cutting case study., Applied Stochastic Models in Business and Industry 30(4), 464–478. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/asmb.1988")}

Examples

library(OBsMD)
data(MetalCutting,package="OBsMD")
print(MetalCutting)

OBsMD documentation built on Sept. 11, 2024, 6:57 p.m.