methods, lattice, parallel, boot, hwriter, plotrix,
Ckmeans.1d.dp, pkgutils (>= 0.3-0), yaml (>= 2.1.5), splines,
mgcv, grofit (>= 1.1), rjson (>= 0.2.12)
Tools for analysing OmniLog(R) and Microstation Phenotype
Microarray (PM) data as produced by the devices distributed by
BiOLOG Inc., including plotting, aggregating (estimating curve
parameters), comparing and discretizing PM data, creating
phylogenetic formats and reports for taxonomic journals,
running multiple comparisons of means, integrating metadata,
using the YAML format for the storage of data and metadata, and
batch conversion of large numbers of files.

methods, lattice, parallel, boot, hwriter, plotrix,
Ckmeans.1d.dp, pkgutils (>= 0.5-0), yaml (>= 2.1.7), splines,
mgcv, grofit (>= 1.1), rjson (>= 0.2.12), nlme
optparse, gplots, opmdata (>= 0.4-0), testthat, multcomp,
KEGGREST, pathview, randomForest
Tools for analysing OmniLog(R) and MicroStation(TM)
phenotype microarray (PM) data as produced by the devices
distributed by BIOLOG Inc., including plotting, aggregating
(estimating curve parameters), comparing and discretising PM
data, creating phylogenetic formats and reports for taxonomic
journals, drawing the PM analysis results in biochemical
pathway graphs optionally including genome annotations, running
multiple comparisons of means, integrating metadata, using the
YAML format for the storage of data and metadata, and batch
conversion of large numbers of files.

Analysing Phenotype Microarray and Growth Curve Data
methods, lattice, parallel, boot, hwriter, plotrix,
Ckmeans.1d.dp, pkgutils (>= 0.6.0), yaml (>= 2.1.7), splines,
mgcv, grofit (>= 1.1), rjson (>= 0.2.12), nlme, DBI
optparse, gplots, opmdata (>= 0.4.0), testthat, multcomp,
KEGGREST, pathview, mboostDevel (>= 2.3.0), gridExtra
Tools for analysing OmniLog(R) and MicroStation(TM)
phenotype microarray (PM) data as produced by the devices
distributed by BIOLOG Inc. as well as similar kinds of data
such as growth curves. Major facilities are plotting data,
accurately estimating curve parameters, comparing and
discretising data, creating phylogenetic formats and reports
for taxonomic journals, drawing the PM analysis results in
biochemical pathway graphs optionally including genome
annotations, running multiple comparisons of means, easy
interaction with powerful feature-selection approaches,
integrating metadata, using the YAML format for the storage of
data and metadata, batch conversion of large numbers of files,
and database I/O. (The suggested mboostDevel is from R-Forge
and not necessary.)
'substrate-info.R' 'well-map.R' 'plate-map.R' 'imports.R'
'package.R' 'constants.R' 'classes.R' 'auxiliary.R' 'kmeans.R'
'naming.R' 'metadata.R' 'getter.R' 'conversion.R'
'combination.R' 'aggregation.R' 'discretization.R' 'plotting.R'
'io.R' 'phylogeny.R' 'data.R' 'testing.R' 'multcomp.R'
'splinefit.R' 'dbio.R'