Package: multitable
Type: Package
Title: Simultaneous manipulation of multiple arrays of data, with
data.list objects
Version: 1.4
Date: 2012-03-06
Author: Steve C Walker
Maintainer: Steve C Walker <steve.walker@utoronto.ca>
Description: Many data sets do not easily fit into a single data frame.
Storing such data in a single data frame often results in
either large numbers of meaningless missing values or storage
of redundant information; yet storing them in multiple data
frames often results in long difficult-to-read workflows.  The
multitable package introduces a new data object called a
data.list, which organises several data tables as a single R
object.  The primary goal of multitable is to provide a more
intuitive framework for manipulating multiple-table data in R.
As data.lists can be coerced to data.frames, they can be used
with all R functions that accept an object that is coercible to
a data.frame (e.g. lm; plot; lme; and many more).
Suggests: MASS, lattice, testthat
License: GPL-2
URL: http://multitable.r-forge.r-project.org/
LazyLoad: yes
Packaged: 2012-04-22 19:57:42 UTC; stevenwalker
Repository: CRAN
Date/Publication: 2012-04-23 11:15:44

Package: multitable
Type: Package
Title: Simultaneous manipulation of multiple arrays of data, with
data.list objects
Version: 1.5
Date: 2012-11-09
Author: Steve C Walker
Maintainer: Steve C Walker <steve.walker@utoronto.ca>
Description: Data frames are integral to R.  They provide a standard
format for passing data to model-fitting and plotting
functions, and this standard makes it easier for experienced
users to learn new functions that accept data as a single data
frame.  Still, many data sets do not easily fit into a single
data frame; data sets in ecology with a so-called fourth-corner
problem provide important examples.  Manipulating such
inherently multiple-table data using several data frames can
result in long and difficult-to-read workflows.  We introduce
the R multitable package to provide new data storage objects
called data.list objects, which extend the data.frame concept
to explicitly multiple-table settings.  Like data frames, data
lists are lists of variables stored as vectors; what is new is
that these vectors have dimension attributes that make
accessing and manipulating them easier.  As data.list objects
can be coerced to data.frame objects, they can be used with all
R functions that accept an object that is coercible to a
data.frame.
Suggests: MASS, lattice, testthat, arm, ggplot2, rbenchmark, scales,
vegan
License: GPL-2
URL: http://multitable.r-forge.r-project.org/
LazyLoad: yes
BuildVignettes: false
Packaged: 2012-11-09 22:19:12 UTC; stevenwalker
Repository: CRAN
Date/Publication: 2012-11-10 07:38:20