R access to the FOAAS (F... Off As A Service) web service

R access to the FOAAS (F... Off As A Service) web service is provided.

R access to the 'FOAAS' (F... Off As A Service) web service is provided.

Code examples to accompany the book "R for Dummies"
c(person("Andrie", "de Vries", role=c("aut", "cre"),
email="apdevries@gmail.com"), person("Joris", "Meys", role =
c("aut")))
This package contains all the code examples in the book "R for
Dummies" (1st edition)
fortunes, stringr, sos, XLConnect, reshape2, ggplot2,
foreign, lattice
Andrie de Vries [aut, cre],
Joris Meys [aut]

Code Examples to Accompany the Book "R for Dummies"
Contains all the code examples in the book "R for
Dummies" (1st edition). You can view the table of contents as well as the sample code for each chapter.

Contains all the code examples in the book "R for Dummies" (1st
edition). You can view the table of contents as well as the sample code for each
chapter.

Contains all the code examples in the book "R for Dummies" (2nd
edition) by Andrie de Vries and Joris Meys. You can view the table of
contents as well as the sample code for each chapter.
fortunes, stringr, sos, XLConnect, reshape2, ggplot2,
foreign, lattice, covr, testthat

fortunes, stringr, sos, XLConnect, reshape2, ggplot2,
foreign, lattice, covr, testthat, spelling

fortunes, stringr, sos, reshape2, ggplot2, foreign, lattice,
covr, testthat, spelling

BATWING for calculating forensic trace-suspect match
probabilities
A modified version (with great help from Ian J. Wilson) of
Ian J. Wilson's program BATWING for calculating forensic
trace-suspect match probabilities.

BATWING for Calculating Forensic Trace-Suspect Match
Probabilities
A modified version (with great help from Ian J. Wilson) of Ian J. Wilson's program BATWING for calculating forensic trace-suspect match probabilities.

Sequential Permutation Testing of Random Forest Variable
Importance Measures
c(person("Alexander", "Hapfelmeier", role = c("aut"),
email = "Alexander.Hapfelmeier@mri.tum.de"),
person("Roman", "Hornung", role = c("aut", "cre"),
email = "hornung@ibe.med.uni-muenchen.de"))
Sequential permutation testing for statistical
significance of predictors in random forests. The main function
of the package is rfvimptest(), which allows to test for the
statistical significance of predictors in random forests using different
(sequential) permutation test strategies. The advantage of
sequential over conventional permutation tests is that they
are computationally considerably less intensive, as the sequential
procedure is stopped as soon as there is sufficient evidence
for either the null or the alternative hypothesis.
Alexander Hapfelmeier [aut],
Roman Hornung [aut, cre]