Theory, Examples & Exercises
- Constrained ordination
Data & Functions
Theory, Examples & Exercises
Data & Functions
R is a programming language and programming environment for statistical analysis and data visualization. The R language is inspired by S language, which was invented and developed by John Chambers from Bell Laboratories and which is the base for commercial software S-PLUS. In contrast to S-PLUS, R is a freeware application, introduced by Ross Ihaka and Robert Gentleman (the R in their first names gave the name to the program).
For semester 106-2: make sure that you have the latest version of R and RStudion installed on your computers:
install.packages (c('vegan', 'labdsv', 'ade4', 'adespatial', 'cluster'))
install.packagesfunction) is preferred.
If you have R already installed on your computer and you want to update to a newer version, the easiest way is simply to install the new version along with the old one (and later possibly delete the old one if you don't need it or you want to save space on hard disk). All R versions are, if not changed, installed beside each other in R subfolder of Program Files folder (in case of Windows). You may need to install also all the libraries you used in the previous version. You can simply copy the folder
library from the old R version to new R version and run an update procedure in new R version using the command
update.packages. For this, do the following:
libraryfolder with R libraries from the previous version (usually located in c:\Program Files\R\R-x.x.x\library, where R-x.x.x is the number of the previous R version, e.g. R-3.1.2).
libraryfolder of the new version. Do not overwrite the newer versions of files in the
libraryfolder of the new R version.
update.packages(ask = F)2). This should update all the libraries to their latest version compatible with current version of R.
Download the latest version from RStudio website and follow instructions for installation. If you already have RStudio installed in your computer, you may check whether you have the latest version and update if you don't (in RStudio menu, go to Help > Check for Updates).
RStudio is a convenient software, which combines R program with a text editor and graphical interface (and offers much more, like the organization of scripts and outputs into projects within a single folder, and for advanced users also convenient building of packages, document markup etc.). One thing I found a bit not handy is RStudio's native graphical output - it offers its' own unique sizeable graphical output into one of the subpanels, but this sometimes produces troubles (especially in the case when you draw more complex figures). The workaround is to use RStudio, but open the original drawing engine - just type
windows (), and a new active window will open.
Optionally, there is a number of other text editors, which can be associated with R, e.g. Tinn-R.
R has a great option to extend the basic functionality for other functions wrapped into packages. There are thousands of packages in central repositories like CRAN or Bioconductor, and also in developers repositories like R-Forge or GitHub. For an overview of documentation for packages aggregated from these repositories check the website R Documentation.
If you have administrator rights for the computer, the packages will be installed into the
library subfolder, usually located in c:\\Program Files\R\R-x.x.x\ 3). If you don't have administrator rights, you will be asked to install the libraries into some writeable location of the hard disc, by default into the
Documents subfolder of your account (here, the following structure of subfolders will be created: Documents\R\win-library\3.2).
Most of the commonly used R packages for analysis of ecological data are available from CRAN, and to install them, use simply
install.packages command in R (note that the name of the package should be separated by quotation marks, and if more than one library should be installed, wrap the names into character vector):
If you are using RStudio, you may use built-in function to install the packages, which is (in default setting of RStudio) located in bottom right panel, in the folder Packages - click the button Install, in Install from choose Repository (CRAN), and in Packages type the name of the package.
There are, however, examples of packages which are not available from CRAN for some reason - e.g. because they are still under development, or because they do not fit rather strict CRAN rules for hosted packages. Alternative places are e.g. R-Forge or GitHub.
GitHub doesn't offer precompiled package versions - you need to compile the packages from source on your computer. However, there is a convenient R function in R package
devtools developed by Hadley Wickham, which can help you with installing packages hosted on GitHub:
install_github. To install some package (here called
MyPackage, first install
devtools from CRAN, and then apply the function
install.packages ("devtools") devtools::install_github ("MyPackage")
:: means that
install_github function will be read from the
devtools namespace without need to actually upload the whole
devtools library). If the GitHub package contains C/C++/Fortran code which needs to be compiled, you still need to install the set of compilation tools called Rtools on your computer (see Install Rtools (for Windows users only) below).
R-Forge contains both source packages (files with extension
*.tar.gz containing the original R code, which needs to be compiled during installation) and also already compiled binaries for Windows (
*zip files, do not need to be built). The binaries are available only for the latest R version available, so if you are using the older version of R, you need to build the library from source. For example, to install package
packfor4) for forward selection of variables directly from R-Forge, type
If you are using the latest R version, the package will probably install without problems. If not, you may receive the following warning message:
Warning in install.packages : package ‘packfor’ is not available (for R version 3.1.2)
In that case, you need to install the package from source. Manually download the binary file from R-Forge (with
*.zip extension) to your computer, and use the command
install.packages with argument
repos = NULL:
install.packages ("C:/Users/Downloads/packfor_0.0-8.zip", repos = NULL)
(note that this works if your downloaded file is the version of packfor 0.0-8 and it is saved in Downloads folder - modify this for your current needs).
If even this option doesn't work, you may need to install the package from the source - download
*.tar.gz version to your computer and use
install.packages function with
repos = NULL and
type = “source”:
install.packages ("C:/Users/Downloads/packfor_0.0-8.tar.gz", repos = NULL, type = "source")
However, installing R packages from source is nontrivial task and may require that your computer has installed set of compilation tools, so called Rtools, because installing from source consists of several steps (compiling C/C++/Fortran codes, making documentations, checking for code errors, running examples etc.) - see instructions below how to install.
Packages hosted on CRAN usually contain package binaries - you can directly install packages without the need to compile them from the source code. If you install packages from GitHub, R-Forge or other repositories, you may need to compile them from source. To do it, do the following:
Select additional tasks, please check the box with
Add rtools to system PATH(screenshot below). In the next step, check whether the folder with Rtools have been added on the top of the list with system paths; if it is and it occurs twice (e.g. because it has been added there by the previous version of Rtools), delete one of them.
You do not need to install Rtools if
devtools::install_githubfunction to install package from GitHub and the package hosted on GitHub does not contain any compiled code;
ask = Fin the function
update.packagesmakes sure that the update function will not ask you to prompt updating each package separately.
adespatialpackage available on CRAN.