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Some extra themes, geoms, and scales for ggplot2.


Analyzes data using Gaussian processes. Supported noise models include Gaussian or Poisson; the latter is handled using the Anscombe transform to turn it into Gaussian noise.


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.