Suggests: bit64, curl, knitr, xts, nanotime, zoo, reshape2

Suggests: bit64, curl, R.utils, knitr, xts, nanotime, zoo

Suggests: bit64, curl, R.utils, knitr, xts, nanotime, zoo, yaml

Suggests: bit64, curl, R.utils, xts, nanotime, zoo, yaml, knitr,

Suggests: bit64 (>= 4.0.0), bit (>= 4.0.4), curl, R.utils, xts,
nanotime, zoo (>= 1.8-1), yaml, knitr, rmarkdown

Title: Extension of data.frame. i and j expressions, keys and binary search.
Description: Like a data.frame but i and j may be expressions evaluated within the frame. i is then like base::with and j like select in base::subset. When i is itself a data.table, a join is invoked similar to base::merge but uses binary search on the sorted key.
Packaged: Sun Aug 31 15:23:47 2008; mdowle

Title: Extension of data.frame for fast subset, fast merge and fast
Author: Matthew Dowle with many contributions from Tom Short.  See SVN
Description: Enhanced data.frame. Fast subset, grouping and merge in a
short and flexible syntax. i and j may be expressions of column
names directly, for faster development.  Example:
data[a>3,sum(b*c),by=d] where data has 4 columns (a,b,c,d).

names directly, for faster development.  Example: X[Y] is a

Title: Extension of data.frame for fast indexing, fast ordered joins
Suggests: chron, ggplot2, testthat (>= 0.4)
Description: Enhanced data.frame. Fast indexing, fast ordered joins and
fast grouping in a short and flexible syntax. i and j may be
expressions of column names directly, for faster development.
Example: X[Y] is a fast join for large data.

Suggests: chron, ggplot2, plyr, testthat (>= 0.4)

Description: Enhanced data.frame. Fast indexing, fast ordered joins,
fast assignment and fast grouping in a short and flexible
syntax. i and j may be expressions of column names directly,
for faster development.  Example: X[Y] is a fast join for large

Title: Extension of data.frame for fast indexing, fast ordered joins,
fast assignment, fast grouping and list columns.
Suggests: chron, ggplot2, plyr, testthat (>= 0.4), hexbin
fast assignment, fast grouping and list columns in a short and
flexible syntax. i and j may be expressions of column names
directly, for faster development.  Example: X[Y] is a fast join