The ggpmisc tag should be used for questions related to the use of R package 'ggpmisc'.
The ggpmisc tag should be used for questions related to the use of R package 'ggpmisc'. Bug reports and requests for enhancements should not be posted here, but instead informed to the maintainer by raising an issue at https://bitbucket.org/aphalo/ggpmisc/issues.
The 'ggpmisc' R package is available through CRAN, and includes detailed documentation. This same documentation is also available in HTML format at http://docs.r4photobiology.info/ggpmisc and can be looked at without need to install the package. The source code of the package is in a public Git repository at https://bitbucket.org/aphalo/ggpmisc.
Functions are provided to convert time series objects into data frames or tibbles suitable for plotting with R package 'ggplot2'. To complement these functions ggplot() methods for "ts" and "xts" classes are also defined.
Different statistics, geometries and functions add facilities for labelling peaks and valleys, generating labels for fitted models including polynomial equations, highlighting deviations from a model fit, and for filtering-out regions of plot panels with high densities of observations (with stats designed to work nicely together with R package 'ggrepel').
Geometries for adding layers with inset tables, ggplots or 'grid' grobs are also defined together with versions of geom_text and geom_label that use 'grid' npc coordinates instead of data coordinates supported by new aesthetics npcxand npcy and corresponding scales.
