Skip to Main Content
Data Analysis and Statistics for Geography, Environmental Science, and Engineering
book

Data Analysis and Statistics for Geography, Environmental Science, and Engineering

by Miguel F. Acevedo
December 2012
Beginner content levelBeginner
557 pages
19h 5m
English
CRC Press
Content preview from Data Analysis and Statistics for Geography, Environmental Science, and Engineering
130 Data Analysis and Statistics for Geography, Environmental Science, and Engineering
4.8.17 nonparaMetric: Wilcoxon test
Consider the data from a very famous physics experiment by Albert Michelson to measure the speed
of light with an interferometer. The dataset michelson is part of package MASS. The Speed
values are departures from a previously reported speed of light of 299,990 km/s. There are a certain
number of measurements (Run) for each experiment number (Expt)
> data(package=”MASS”)
> data(michelson)
> michelson
Speed Run Expt
1 850 1 1
2 740 2 1
3 900 3 1
Let us explore part of the dataset; say Expt 1 runs 1–20.
> mich <- michelson$Speed[1:20] ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Applied Modeling Techniques and Data Analysis 1

Applied Modeling Techniques and Data Analysis 1

Yannis Dimotikalis, Alex Karagrigoriou, Christina Parpoula, Christos H. Skiadas
Geospatial Data and Analysis

Geospatial Data and Analysis

Aurelia Moser, Jon Bruner, Bill Day

Publisher Resources

ISBN: 9781439885017