| pipeline {alr4} | R Documentation |
Alaska pipeline
Description
The Alaska pipeline data consists of in-field ultrasonic measurements of the depths of defects in the Alaska pipeline. The depth of the defects were then re-measured in the laboratory. These measurements were performed in six different batches. The data were analyzed to calibrate the bias of the field measurements relative to the laboratory measurements. In this analysis, the field measurement is the response variable and the laboratory measurement is the predictor variable.
These data were originally provided by Harry Berger, who was at the time a scientist for the Office of the Director of the Institute of Materials Research (now the Materials Science and Engineering Laboratory) of NIST. These data were used for a study conducted for the Materials Transportation Bureau of the U.S. Department of Transportation.
Format
This data frame contains the following columns:
- Field
-
Number of defects measured in the field.
- Lab
-
Number of defects measured in the field.
- Batch
-
Batch number
Source
http://www.itl.nist.gov/div898/handbook/pmd/section6/pmd621.htm
References
Weisberg, S. (2014). Applied Linear Regression, 4th edition. Hoboken NJ: Wiley.
Examples
head(pipeline)