Abstract
HE SOFTWARE PACKAGE “R” has become very popular over the past decade for good reason. It has open source, meaning you can examine exactly what steps the program is performing. Compare this to the “black box” approach adopted by so many other software packages that hope you will just push the Enter button and accept the results that appear. Another feature of open software is that if you identify a problem, you can fix it, or, at least, publicize the error until it gets fixed. Finally, once you become proficient at R you can contribute to it. One of the great features of R is the availability of packages of programs written by R users for other R users.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
There is some debate on how to choose a mirror site. There is a cloud option that picks a site for you. Picking a site geographically close to you will reduce web traffic. Conversely, a very distant site may offer faster service because most people on that side of the earth are asleep.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Zelterman, D. (2015). Elements of R . In: Applied Multivariate Statistics with R. Statistics for Biology and Health. Springer, Cham. https://doi.org/10.1007/978-3-319-14093-3_2
Download citation
DOI: https://doi.org/10.1007/978-3-319-14093-3_2
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14092-6
Online ISBN: 978-3-319-14093-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)