plyr (>= 1.0), digest, grid, reshape2, scales (>= 0.2.1),
memoise, proto, MASS
quantreg, Hmisc, mapproj, maps, hexbin, gpclib, maptools,
multcomp, nlme, testthat

Hadley Wickham <h.wickham@gmail.com>, Winston Chang
<winston@stdout.org>
plyr (>= 1.0), digest, grid, gtable (>= 0.1.1), reshape2,
scales (>= 0.2.2), memoise, proto, MASS
quantreg, Hmisc, mapproj, maps, hexbin, maptools, multcomp,
nlme, testthat

plyr (>= 1.7.1), digest, grid, gtable (>= 0.1.1), reshape2,
scales (>= 0.2.3), proto, MASS

Hadley Wickham <h.wickham@gmail.com>, Winston Chang <winston@stdout.org>
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.
quantreg, Hmisc, mapproj, maps, hexbin, maptools, multcomp,
nlme, testthat, knitr, mgcv

An Implementation of the Grammar of Graphics
c(
person("Hadley", "Wickham", role = c("aut", "cre"), email = "h.wickham@gmail.com"),
person("Winston", "Chang", role = "aut", email = "winston@stdout.org")
)
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 http://ggplot2.org
for more information, documentation and examples.
Hadley Wickham [aut, cre],
Winston Chang [aut]

c(
person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
person("Winston", "Chang", , "winston@rstudio.com", "aut"),
person("RStudio", role = "cph")
)
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 http://ggplot2.org for more information,
documentation and examples.
digest, grid, gtable (>= 0.1.1), MASS, plyr (>= 1.7.1),
reshape2, scales (>= 0.3.0), stats
ggplot2movies, hexbin, Hmisc, mapproj, maps, maptools, mgcv,
multcomp, nlme, testthat, quantreg, knitr
Hadley Wickham [aut, cre],
Winston Chang [aut],
RStudio [cph]