ggpp 0.5.1

Version 0.5.1 brings enhancements to the density based statistics. They gain several new features without changing their default behaviour. The aim is to add flexibility to allow improved support of the annotation of volcano and quadrant plots. Two types of plots frequently used to present gene transcript abundance estimates obtained by RNAseq or microarray methods.

Changes compared to version 0.5.0, the previous version in CRAN are:

• Add parameter keep.these to stat_dens2d_labels(), stat_dens2d_filter(), stat_dens2d_filter_g(), stat_dens1d_labels(), stat_dens1d_filter() and stat_dens1d_filter_g() allowing forcing the inclusion of specific observations irrespective of the local density.

• Update stat_dens2d_labels(), stat_dens2d_filter(), stat_dens2d_filter_g(), stat_dens1d_labels(), stat_dens1d_filter() and stat_dens1d_filter_g() to allow separate control of kept observations or labels in each tail (1D) or in each quadrant (2D) of the density distribution, still using an estimate of the local density computed from the whole data set.

• Add parameter return.density to stat_dens2d_labels(), stat_dens2d_filter(), stat_dens2d_filter_g(), stat_dens1d_labels(), stat_dens1d_filter() and stat_dens1d_filter_g() to request the local density estimate at the position of each observation to be returned in numeric variable density and the outcome of the test in logical variable keep.

Documentation web site includes all help pages, with output from all examples, vignettes as well as a changelog in HTML format and a cheatsheet as PDF.

NOTE: Version 0.5.1 is on its way to CRAN.

Please raise issues concerning bugs or enhancements to this package through GitHub at https://github.com/aphalo/ggpp/issues. Pull requests are also welcome.