Implements extensions to 'ggplot2' respecting the grammar of graphics
paradigm. Provides new stats to locate and tag peaks and valleys in 2D
plots, a stat to add a label by group with the equation of a polynomial
fitted with lm(), or R^2 or adjusted R^2 values for any model fitted with
function lm(). Provides a function for flexibly converting time series to
data frames suitable for plotting with ggplot(). In addition provides two
stats useful for diagnosing what data are passed to compute_group() and
compute_panel() functions.

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

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(). Provides a function for flexibly converting time
series to data frames suitable for plotting with ggplot(). In addition
provides two statistics and two geometry useful for diagnosing what data are
passed to compute_group() and compute_panel() functions and to geometries.

Extensions to 'ggplot2' respecting the grammar of graphics
paradigm. Specialization of method ggplot(): accept and convert on the fly
time series data. Geom: "table", adds tables to plots. Statistics: locate
and tag peaks and valleys in 2D plots; count observations in different
quadrants of a plot; select observations based on 2D density; label with the
equation of a polynomial fitted with lm() or other types of models; labels
with P-value, R^2 or adjusted R^2 or information criteria for fitted models;
label with ANOVA table for fitted models; label with summary for fitted
models. Model fit classes for which suitable methods are provided by package
'broom' are supported.