Extensions to 'ggplot2' respecting the grammar of graphics paradigm. Provides new statistics to locate and tag peaks and valleys in 2D plots, a statistics to add a label with the equation of a polynomial fitted with lm(), or R^2 or adjusted R^2 or information criteria for any model fitted with function lm(). Additional statistics give access to functions in package 'broom'. Provides a function for flexibly converting time series to data frames suitable for plotting with ggplot(). In addition provides statistics and ggplot geometries useful for diagnosing what data are passed to compute_group() and compute_panel() functions and to geometries.

Documentation

Manual: ggpmisc.pdf
Vignettes:

Maintainer: Pedro J. Aphalo <pedro.aphalo at helsinki.fi>

Author(s): Pedro J. Aphalo*, Kamil Slowikowski*

Install package and any missing dependencies by running this line in your R console:

install.packages("ggpmisc")

Depends R (>= 3.2.0), ggplot2(>=2.2.1)
Imports tibble(>=1.2), MASS(>=7.3-45), polynom(>=1.3-8), splus2R(>=1.2-2), plyr(>=1.8.4), dplyr(>=0.5.0), xts(>=0.9-7), zoo(>=1.7-13), broom(>=0.4.1), lubridate(>=1.6.0)
Suggests knitr(>=1.14), rmarkdown(>=1.1), nlme(>=3.1-128), ggrepel(>=0.6.3)
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Package ggpmisc
Materials
URL http://www.r4photobiology.info https://bitbucket.org/aphalo/ggpmisc
Task Views
Version 0.2.15
Published 2017-05-14
License GPL (>= 2)
BugReports https://bitbucket.org/aphalo/ggpmisc/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks ggpmisc check results
Package source ggpmisc_0.2.15.tar.gz