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Beschreibung
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.
A popular entry-level guide into the use of R as a statistical programming and data management language for students, post-docs, and seasoned researchers now in a new revised edition, incorporating the updates in the R environment, and also adding guidance on the use of more complex statistical analyses and tools.
Über den Autor
Andrew leads a research team studying community and evolutionary ecology. He has been using R and teaching quantitative methods for over 16 years.
Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.
Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.
Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.
Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.
Inhaltsverzeichnis
- Preface
- 1: Getting and getting acquainted with R
- 2: Getting your data into R
- 3: Data management, manipulation, and exploration with dplyr
- 4: Visualising your data
- 5: Introducing statistics in R
- 6: Advancing your statistics in R
- 7: Getting started with generalised linear models
- 8: Pimping your plots: scales and themes in ggplot2
- 9: Closing remarks
- Appendices
Details
Erscheinungsjahr: | 2017 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 256 |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780198787846 |
ISBN-10: | 0198787847 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Beckerman, Andrew P.
Childs, Dylan Z. Petchey, Owen L. |
Hersteller: | Oxford University Press |
Maße: | 238 x 167 x 17 mm |
Von/Mit: | Andrew P. Beckerman (u. a.) |
Erscheinungsdatum: | 02.02.2017 |
Gewicht: | 0,493 kg |
Über den Autor
Andrew leads a research team studying community and evolutionary ecology. He has been using R and teaching quantitative methods for over 16 years.
Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.
Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.
Owen leads a research team studying ecological forecasting. He has been using R and teaching quantitative methods for over 16 years.
Dylan leads a research team studying population biology. He has been using R and teaching quantitative methods for over 15 years.
Inhaltsverzeichnis
- Preface
- 1: Getting and getting acquainted with R
- 2: Getting your data into R
- 3: Data management, manipulation, and exploration with dplyr
- 4: Visualising your data
- 5: Introducing statistics in R
- 6: Advancing your statistics in R
- 7: Getting started with generalised linear models
- 8: Pimping your plots: scales and themes in ggplot2
- 9: Closing remarks
- Appendices
Details
Erscheinungsjahr: | 2017 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 256 |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9780198787846 |
ISBN-10: | 0198787847 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Beckerman, Andrew P.
Childs, Dylan Z. Petchey, Owen L. |
Hersteller: | Oxford University Press |
Maße: | 238 x 167 x 17 mm |
Von/Mit: | Andrew P. Beckerman (u. a.) |
Erscheinungsdatum: | 02.02.2017 |
Gewicht: | 0,493 kg |
Warnhinweis