<abstract xmlns="http://www.w3.org/1999/xhtml"><p> An increasing number of new and more sophisticated quantitative analyses forces biologists to find an adequate statistical software. In our opinion free software R is the best solution for many types of ecological and other biological analyses. R software provides tools for effective data handling, modern statistical methods and excellent graphic facilities. In our paper we introduce R, discuss benefits of the program and briefly comment several R packages appropriate for biologist. In the next articles of the series about R we will try to illustrate the usage of particular R packages or statistical methods on real data examples</p></abstract>

An increasing number of new and more sophisticated quantitative analyses forces biologists to find an adequate statistical software. In our opinion free software R is the best solution for many types of ecological and other biological analyses. R software provides tools for effective data handling, modern statistical methods and excellent graphic facilities. In our paper we introduce R, discuss benefits of the program and briefly comment several R packages appropriate for biologist. In the next articles of the series about R we will try to illustrate the usage of particular R packages or statistical methods on real data examples

R for all (I): Introduction to the new age of biological analyses

Dept. of Biology and Ecology, University of Ostrava, Chittussiho 10, 710 00 Ostrava, Czech Republic

Dept. of Biology and Ecology, University of Ostrava, Chittussiho 10, 710 00 Ostrava, Czech Republic; Global Change Research Centre Academy of Sciences of the Czech Republic, 603 00 Brno, Czech Republic

Acta Musei Silesiae, Scientiae Naturales

{"article-title":"R for all (I): Introduction to the new age of biological analyses"}

An increasing number of new and more sophisticated quantitative analyses forces biologists to find an adequate statistical software. In our opinion free...

R for all (I): Introduction to the new age of biological analyses

Online veröffentlicht: 14. Aug. 2013

Seitenbereich: 51 - 57

DOI: https://doi.org/10.2478/cszma-2013-0004

Schlüsselwörter
Ecological data, R software, quantitative ecology, modern statistical methods

This content is open access.

R for all (I): Introduction to the new age of biological analyses

Online veröffentlicht: 14. Aug. 2013

Seitenbereich: 51 - 57

DOI: https://doi.org/10.2478/cszma-2013-0004

SchlüsselwörterEcological data, R software, quantitative ecology, modern statistical methods

This content is open access.

Schlüsselwörter
Ecological data, R software, quantitative ecology, modern statistical methods