Packaged: Fri Jun 30 16:25:22 2006; hadley

Depends: R (>= 2.3), grid, reshape, RColorBrewer
Packaged: Thu Jun 22 15:26:47 2006; hadley

Suggests: butler, hexbin, mapproj, quantreg, MASS
Packaged: Sat Sep 30 17:53:16 2006; hadley

Suggests: butler, mapproj, quantreg, MASS
Depends: R (>= 2.3), grid, reshape (>= 0.7.4), RColorBrewer
Packaged: Wed May 30 20:22:37 2007; hadley

Packaged: Mon Jul  9 16:31:11 2007; hadley

Title: Multiple Summary Statistics for Binned Stats/Geometries
Provides the ggplot binning layer stat_summaries_hex(),
which functions similar to its singular form,
but allows the use of multiple statistics per bin.
Those statistics can be mapped to multiple bin aesthetics.
Imports: methods, rlang, scales, hexbin, ggplot2
Author: Philipp Angerer [aut, cre] (<https://orcid.org/0000-0002-0369-2888>)

Depends: R (>= 2.4), grid, reshape (>= 0.7.3), proto, splines, MASS, RColorBrewer
Suggests: quantreg, Hmisc, mapproj, maps
Packaged: Sat Jun  9 10:58:29 2007; hadley

Packaged: Sun Jun 17 21:57:47 2007; hadley

Depends: R (>= 2.4), grid, reshape (>= 0.8.0), proto, splines, MASS, RColorBrewer, colorspace
Packaged: Sun Jul  8 09:51:07 2007; hadley

Title: An implementation of the Grammar of Graphics
Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a more sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See \url{http://had.co.nz/ggplot2/} for more information, documentation and examples.
Depends: R (>= 2.4), grid, reshape (>= 0.8.0), proto, splines, MASS,
Packaged: Fri Aug 31 13:16:07 2007; hadley

Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See the ggplot2 website for more information, documentation and examples.
Depends: R (>= 2.6), grid, reshape (>= 0.8.0), proto, splines, MASS,
Suggests: quantreg, Hmisc, mapproj, maps, digest
Packaged: Wed Oct 17 20:03:58 2007; hadley