Calculate Pairwise Multiple Comparisons of Mean Rank Sums Extended.
Installation of PMCMRplus and (external) dependencies
Description
In order to use the extended functions of the R package PMCMRplus, several additional R packages available from CRAN need to be imported, i.e. mvtnorm (Genz and Bretz 2009, Genz et al. 2015), multcompView (Graves et al. 2015), Rmpfr (Maechler 2016) and gmp (Lucas et al. 2017). This will be done automatically by R's package management system.
However, Linux user may encounter some installation problems, as several R packages require external libraries on the system. This is why this README file briefly describes the installation procedure of PMCMRplus.
Installation under Windows
As R packages for Windows are distributed in binary form, there should not be any problem with the installation. Simply run from within R the following function:
install.packages("PMCMRplus")
R will automatically install all the relevant dependencies. Provided that PMCMRplus is already installed on your system, simply update the package or all installed packages with:
# update PMCMRplus
update.packages("PMCMRplus")
# or update all
update.packages()
Installation under Linux from source packages
R packages for Unix / Linux are distributed in source form. Installation of R add-on packages do not require root proviliges and the installation directory is set in the variable $R_LIBS_USER. The installation directory is in the users $HOME directory.
First check, whether PMCMRplus can be installed or updated by running the following function from within R:
# update PMCMRplus
update.packages("PMCMRplus")
# or install
install.packages("PMCMRplus")
Both R packages Rmpfr and gmp need compilation and are wrapper functions for the external libraries (i.e. not shipped with R) libmpfr (Fousse et al. 2007, https://www.mpfr.org/) and libgmp (https://gmplib.org/). For a correct compilation, the corresponding header files of the external libraries are required. Therefore, it is possible that the installation process breaks up with an error message such as:
...
configure: error: GNU MP not found ...
...
configure: error: Header file mpfr.h not found
However, both libraries and their header files are commonly available on various Linux distributions.
Ubuntu and Debian
Check for the header files by running the following commands outside of R from the console.
dpkg -p libgmp-dev
dpkg -p libmpfr-dev
If any (or both) of the above packages are missing, simply install the missing package(s) from the repository of your Linux distribution:
sudo apt-get install libgmp-dev
sudo apt-get install libmpfr-dev
After successful installation of the above Linux packages, repeat with the installation of the R package PMCMRplus from within R:
install.packages("PMCMRplus")
Fedora, Redhat, CentOS, opensuse, etc.
Check for the header files by running the following commands outside of R from the console.
dnf info gmp-devel
dnf info mpfr-devel
If any (or both) of the above packages are missing, simply install the missing package(s) from the repository of your Linux distribution:
sudo dnf install gmp-devel
sudo dnf install mpfr-devel
After successful installation of the above Linux packages, repeat with the installation of the R package PMCMRplus from within R:
install.packages("PMCMRplus")
Installation under Linux using binary packages
Ubuntu
Installation instructions for R core using an Ubuntu distribution can be found here:
https://cran.r-project.org/bin/linux/ubuntu/
Additional CRAN binary packages (>1,000) for Ubuntu are availabe at the CRAN2deb4ubuntu PPA that can be found here
https://launchpad.net/~marutter/+archive/ubuntu/c2d4u
or
https://launchpad.net/~marutter/+archive/ubuntu/c2d4u3.5.
Provided, that the above PPA was successfully added to the package source list and the user has root (or su, sudo) priviliges, one can try to install precompiled r-cran* deb packages outside of the R environment as
sudo apt-get install r-cran-pmcmrplus
This will install depending dep packages for PMCMCRplus, too.
References
L. Fousse, G. Hanrot, V. Lefevre, P. Pelissier, P. Zimmermann (2007) MPFR: A Multiple-precision Binary Floating-point Library with Correct Rounding. ACM Trans. Math. Softw. 33. 13. https://doi.acm.org/10.1145/1236463.1236468.
A. Genz, F. Bretz (2009) Computation of Multivariate Normal and t Probabilities. Lecture Notes in Statistics. Heidelberg: Springer.
A. Genz, F. Bretz, T. Miwa, X. Mi, F. Leisch, F. Scheipl, T. Hothorn (2017) mvtnorm: Multivariate Normal and t Distributions. R package version 1.0-6, https://CRAN.R-project.org/package=mvtnorm.
S. Graves, H.-P. Piepho, L. Selzer, S. Dorai-Raj (2015) multcompView: Visualizations of Paired Comparisons. R package version 0.1-7, https://CRAN.R-project.org/package=multcompView.
A. Lucas, I. Scholz, R. Boehme, S. Jasson, M. Maechler (2017) gmp: Multiple Precision Arithmetic. R package version 0.5-13.1, https://CRAN.R-project.org/package=gmp.
M. Maechler (2016) Rmpfr: R MPFR - Multiple Precision Floating-Point Reliable. R package version 0.6-1. https://CRAN.R-project.org/package=Rmpfr.