Andrew P. Beckerman and Owen L. Petchey
- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199601615
- eISBN:
- 9780191774539
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199601615.003.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
This chapter outlines the reasons why researchers should adopt the open source programming language R. Among these are that R is freely available and cross-platform (e.g., it works on Windows, Macs, ...
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This chapter outlines the reasons why researchers should adopt the open source programming language R. Among these are that R is freely available and cross-platform (e.g., it works on Windows, Macs, and Linux); it can replace common combinations of programs used the process of data analysis; and R can be used to make publication-quality figures, and export them in various formats, including pdf.Less
This chapter outlines the reasons why researchers should adopt the open source programming language R. Among these are that R is freely available and cross-platform (e.g., it works on Windows, Macs, and Linux); it can replace common combinations of programs used the process of data analysis; and R can be used to make publication-quality figures, and export them in various formats, including pdf.
Andy Hector
- Published in print:
- 2015
- Published Online:
- March 2015
- ISBN:
- 9780198729051
- eISBN:
- 9780191795855
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198729051.001.0001
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies, Ecology
Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an ...
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Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an up-to-date introduction to the classical techniques and modern extensions of linear model analysis—one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach using information criteria. The book is based on the use of the open-source R programming language for statistics and graphics that is rapidly becoming the lingua franca in many areas of science. Statistics is introduced through worked analyses performed in R using interesting data sets from ecology, evolutionary biology, and environmental science. The data sets and R scripts are available as supporting material.Less
Statistics is a fundamental component of the scientific toolbox, but learning the basics of this area of mathematics is one of the most challenging parts of a research training. This book gives an up-to-date introduction to the classical techniques and modern extensions of linear model analysis—one of the most useful approaches in the analysis of scientific data in the life and environmental sciences. The book emphasizes an estimation-based approach that takes account of recent criticisms of over-use of probability values and introduces the alternative approach using information criteria. The book is based on the use of the open-source R programming language for statistics and graphics that is rapidly becoming the lingua franca in many areas of science. Statistics is introduced through worked analyses performed in R using interesting data sets from ecology, evolutionary biology, and environmental science. The data sets and R scripts are available as supporting material.
Andrew P. Beckerman and Owen L. Petchey
- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199601615
- eISBN:
- 9780191774539
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199601615.003.0002
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
This chapter provides instructions on how get data into R. Topics discussed include where to put data; making a folder for instructions (code, script); how to get data into R and where it is stored ...
More
This chapter provides instructions on how get data into R. Topics discussed include where to put data; making a folder for instructions (code, script); how to get data into R and where it is stored in R's brain; tips for a successful interaction with R; making a script fit; using R functions; and developing a workflow.Less
This chapter provides instructions on how get data into R. Topics discussed include where to put data; making a folder for instructions (code, script); how to get data into R and where it is stored in R's brain; tips for a successful interaction with R; making a script fit; using R functions; and developing a workflow.
Andrew P. Beckerman and Owen L. Petchey
- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199601615
- eISBN:
- 9780191774539
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199601615.003.0006
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
This chapter first summarizes the preceding discussions. It then expands the nine-step workflow introduced in Chapter 5 to seventeen steps. The additional steps here include such things as snacks and ...
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This chapter first summarizes the preceding discussions. It then expands the nine-step workflow introduced in Chapter 5 to seventeen steps. The additional steps here include such things as snacks and organization. Sticking to this basic workflow ensures a very solid and efficient foundation for using R.Less
This chapter first summarizes the preceding discussions. It then expands the nine-step workflow introduced in Chapter 5 to seventeen steps. The additional steps here include such things as snacks and organization. Sticking to this basic workflow ensures a very solid and efficient foundation for using R.
Andrew P. Beckerman and Owen L. Petchey
- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199601615
- eISBN:
- 9780191774539
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199601615.003.0003
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
This chapter continues that discussion of how to get data into R. It covers checking the data; summarizing the data; how to isolate, find, and grab parts of the data; aggregation and how to use a ...
More
This chapter continues that discussion of how to get data into R. It covers checking the data; summarizing the data; how to isolate, find, and grab parts of the data; aggregation and how to use a help file; and what your first script might look like.Less
This chapter continues that discussion of how to get data into R. It covers checking the data; summarizing the data; how to isolate, find, and grab parts of the data; aggregation and how to use a help file; and what your first script might look like.
Andrew P. Beckerman and Owen L. Petchey
- Published in print:
- 2012
- Published Online:
- December 2013
- ISBN:
- 9780199601615
- eISBN:
- 9780191774539
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199601615.003.0004
- Subject:
- Biology, Biomathematics / Statistics and Data Analysis / Complexity Studies
This chapter outlines to steps to creating bar graphs and scatterplots. These are two of the most common types of graphs people produce in ecology and evolutionary biology and understanding them sets ...
More
This chapter outlines to steps to creating bar graphs and scatterplots. These are two of the most common types of graphs people produce in ecology and evolutionary biology and understanding them sets the stage for making other types of figures. The chapter also presents brief descriptions of how to save figures as a pdf and the lattice package by Deepayan Sarke.Less
This chapter outlines to steps to creating bar graphs and scatterplots. These are two of the most common types of graphs people produce in ecology and evolutionary biology and understanding them sets the stage for making other types of figures. The chapter also presents brief descriptions of how to save figures as a pdf and the lattice package by Deepayan Sarke.
