pipeline: Alaska pipeline

In glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

Alaska pipeline

Description

The Alaska pipeline data consists of in-field ultrasonic measurements of defects depths in the Alaska pipeline. The depth of the defects was measured again in the laboratory. These measurements were performed in six batches. The data were analyzed to calibrate the bias of field measurements relative to laboratory measurements. In this analysis, the field measurement is the response variable and the laboratory measurement is the predictor variable.

Usage

data(pipeline)

Format

A data frame with 107 rows and 2 variables:

Field

a numeric vector indicating the number of defects measured in the field.

Lab

a numeric vector indicating the number of defects measured in the laboratory.

Source

https://www.itl.nist.gov/div898/handbook/pmd/section6/pmd621.htm

References

Weisberg S. (2005). Applied Linear Regression, 3rd edition. Wiley, New York.

Examples

data(pipeline)
dev.new()
xlab <- "In-laboratory measurements"
ylab <- "In-field measurements"
with(pipeline,plot(Lab,Field,pch=20,xlab=xlab,ylab=ylab))

glmtoolbox documentation built on Oct. 10, 2023, 9:06 a.m.