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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 and 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, http://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-rmpfr
sudo apt-get install r-cran-gmp

As by the time of writing of this README the package PMCMRplus was not yet converted into a deb package by the PPA maintainer, the user must install the package from within R as:

install.packages("PMCMRplus")

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. http://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.

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Version

Install

install.packages('PMCMRplus')

Monthly Downloads

16,169

Version

1.4.4

License

GPL (>= 3)

Maintainer

Thorsten Pohlert

Last Published

March 1st, 2020

Functions in PMCMRplus (1.4.4)

Mandel-h

Mandel's h Distribution
chackoTest

Testing against Ordered Alternatives (Chacko's Test)
barPlot

Plotting PMCMR Objects
bwsAllPairsTest

BWS All-Pairs Comparison Test
adKSampleTest

Anderson-Darling k-Sample Test
bwsKSampleTest

Murakami's k-Sample BWS Test
doubleGrubbsTest

Grubbs Double Outlier Test
algae

Algae Growth Inhibition Data Set
duncanTest

Duncan's Multiple Range Test
bwsManyOneTest

BWS Many-To-One Comparison Test
bwsTrendTest

Testing against Ordered Alternatives (Murakami's BWS Trend Test)
chaAllPairsNashimotoTest

All-Pairs Comparisons for Simply Ordered Mean Ranksums
friedmanTest

Friedman Rank Sum Test
dscfAllPairsTest

Multiple Comparisons of Mean Rank Sums
frdManyOneNemenyiTest

Nemenyi's Many-to-One Test for Unreplicated Blocked Data
dunnettTest

Dunnett's Many-to-One Comparisons Test
mandelhTest

Mandel's h Test According to E 691 ASTM
grubbsTest

Grubbs Outlier Test
durbinAllPairsTest

All-Pairs Comparisons Test for Balanced Incomplete Block Designs
gesdTest

Generalized Extreme Studentized Deviate Many-Outlier Test
gamesHowellTest

Games-Howell Test
mackWolfeTest

Mack-Wolfe Test for Umbrella Alternatives
goreTest

Gore Test
kruskalTest

Kruskal-Wallis Rank Sum Test
jonckheereTest

Testing against Ordered Alternatives (Jonckheere-Terpstra Test)
durbinTest

Durbin Test
pageTest

Page Rank Sum Test
cochranTest

Cochran Test
siegelTukeyTest

Siegel-Tukey Rank Dispersion Test
plot.PMCMR

Plotting PMCMR Objects
mandelkTest

Mandel's k Test According to E 691 ASTM
adManyOneTest

Anderson-Darling Many-To-One Comparison Test
dunnettT3Test

Dunnett's T3 Test
plot.mandel

Plotting mandel Objects
shirleyWilliamsTest

Shirley-Williams Test
summary.PMCMR

Summarize an PMCMR Object
welchManyOneTTest

Welchs's Many-To-One Comparison Test
kwAllPairsNemenyiTest

Nemenyi's All-Pairs Rank Comparison Test
summary.gesdTest

Summarize an gesdTest Object
frdAllPairsExactTest

Exact All-Pairs Comparisons Test for Unreplicated Blocked Data
kwManyOneConoverTest

Conover's Many-to-One Rank Comparison Test
frdAllPairsConoverTest

Conover's All-Pairs Comparisons Test for Unreplicated Blocked Data
frdManyOneDemsarTest

Demsar's Many-to-One Test for Unreplicated Blocked Data
print.powerOneWayPMCMR

PowerOneWayPMCMR Printing
powerMCTests

Power Simulation for One-Factorial All-Pairs and Many-To-One Comparison Tests
williamsTest

Williams Trend Test
spearmanTest

Testing against Ordered Alternatives (Spearman Test)
normalScoresManyOneTest

Lu-Smith Many-One Comparisons Normal Scores Test
print.powerPMCMR

PowerPMCMR Printing
kwAllPairsDunnTest

Dunn's All-Pairs Rank Comparison Test
normalScoresAllPairsTest

Lu-Smith All-Pairs Comparison Normal Scores Test
frdAllPairsMillerTest

Millers's All-Pairs Comparisons Test for Unreplicated Blocked Data
manyOneUTest

Multiple Comparisons with One Control (U-test)
print.steel

steel Printing
kwManyOneDunnTest

Dunn's Many-to-One Rank Comparison Test
frdManyOneExactTest

Exact Many-to-One Test for Unreplicated Blocked Data
print.gesdTest

gesdTest Printing
kwAllPairsConoverTest

Conover's All-Pairs Rank Comparison Test
kwManyOneNdwTest

Nemenyi-Damico-Wolfe Many-to-One Rank Comparison Test
powerOneWayTests

Power Simulation for One-Factorial Single Hypothesis Tests
print.mandel

Mandel Printing
print.PMCMR

PMCMR Printing
print.williams

williams Printing
cuzickTest

Testing against Ordered Alternatives (Cuzick's Test)
qPCR

qPCR Curve Analysis Methods
frdAllPairsNemenyiTest

Nemenyi's All-Pairs Comparisons Test for Unreplicated Blocked Data
summary.williams

Summarize an williams Object
frdAllPairsSiegelTest

Siegel and Castellan's All-Pairs Comparisons Test for Unreplicated Blocked Data
snkTest

Student-Newman-Keuls Test
johnsonTest

Testing against Ordered Alternatives (Johnson-Mehrotra Test)
skillingsMackTest

Skillings-Mack Test
quadeAllPairsTest

All-Pairs Comparisons for Unreplicated Blocked Data (Quade's All-Pairs Test)
hartleyTest

Hartley's Maximum F-Ratio Test of Homogeneity of Variances
normalScoresTest

Lu-Smith Normal Scores Test
leTest

Testing against Ordered Alternatives (Le's Test)
steelTest

Steel's Many-to-One Rank Test
trout

Data from a Dose-Response Experiment with Trouts
lsdTest

Least Significant Difference Test
summaryGroup

Grouped Summary of an PMCMR Object
uryWigginsHochbergTest

Ury, Wiggins, Hochberg Test
osrtTest

One-Sided Studentised Range Test
reviewers

Reviewers
summary.mandel

Object Summary for class "mandel"
vanWaerdenAllPairsTest

van-der-Waerden's All-Pairs Comparison Normal Scores Test
vanWaerdenTest

van der Waerden's Normal Scores Test
scheffeTest

Scheffe's Test
tukeyTest

Tukey's Test
tamhaneDunnettTest

Tamhane-Dunnett Many-to-One Comparison Test
vanWaerdenManyOneTest

van-der-Waerden's Many-One Comparisons Normal Scores Test
tamhaneT2Test

Tamhane's T2 Test
summary.steel

Summarize a steel Object
Cochran

Cochran's distribution
Grubbs

Grubbs distribution
GSTTest

Generalized Siegel-Tukey Test of Homogeneity of Scales
MTest

Extended One-Sided Studentised Range Test
Mandel-k

Mandel's k Distribution
adAllPairsTest

Anderson-Darling All-Pairs Comparison Test
Pentosan

Pentosan Dataset
Dgrubbs

Grubbs D* distribution
NPMTest

All-Pairs Comparisons for Simply Ordered Mean Ranksums