Imports: broom, checkmate, dplyr, Hmisc (>= 3.14-6), htmltools, knitr,

Description: The introduction of the 'broom' package has made converting model
objects into data frames as simple as a single function. While the 'broom'
models in publication-ready tables. 'pixiedust' provides this functionality with
a programming interface intended to be similar to 'ggplot2's system of layers
LaTeX). With a little 'pixiedust' (and happy thoughts) tables can really fly.

Imports: broom, checkmate (>= 1.8.0), dplyr, Hmisc (>= 3.14-6),
htmltools, knitr, magrittr, scales, stringr, tidyr

Authors@R: c(person("Benjamin", "Nutter", email = "nutter@battelle.org", role = c("aut", "cre")),
person("David", "Kretch", role = c("ctb")))

Authors@R: c(person("Benjamin", "Nutter", email = "benjamin.nutter@gmail.com", role = c("aut", "cre")),
Imports: broom, checkmate (>= 1.8.0), dplyr, htmltools, knitr,

Imports: broom, checkmate (>= 1.8.0), htmltools, knitr, labelVector,

Author: Friedrich Leisch and Roger Bivand
Description: Functions for import, export, plotting and other

Author: Roger Bivand, Friedrich Leisch and Martin M�chler
Collate: AAA.R pixmap.R addlogo.R pnmhead.R pnm.R
Packaged: Wed Dec 17 13:11:15 2003; leisch

Packaged: Tue Mar 23 13:11:31 2004; leisch

Author: Roger Bivand, Friedrich Leisch and Martin Maechler
Collate: pixmap.R addlogo.R pnmhead.R pnm.R

Packaged: Wed Sep 29 13:31:38 2004; leisch

Packaged: Mon Jul 25 12:53:29 2005; leisch

Packaged: Mon Jan 23 16:55:10 2006; leisch

Packaged: Mon Oct  9 18:44:49 2006; leisch

Packaged: Sat Jan 20 14:06:57 2007; leisch

Packaged: Thu May  3 18:41:54 2007; leisch

Packaged: Wed Jul  2 14:25:19 2008; leisch

Packaged: Fri Jul  4 17:19:21 2008; leisch

Title: A complete statistical analysis of MALDI-TOF Mass Spectrometry
Depends: PROcess, plyr, ROCR, randomForest, caMassClass
Author: Juliet Ndukum <jpntsang@gmail.com>, Mourad Atlas
Description: The package pkDACLASS provides unique monoisotopic peaks
of peptides. It will align the detected monoisotopic peaks from
multiple samples and classify the samples with these peaks and