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.
|Author||Pedro J. Aphalo [aut, cre], Kamil Slowikowski [ctb]|
|Date of publication||2016-11-26 12:10:42|
|Maintainer||Pedro J. Aphalo <email@example.com>|
|License||GPL (>= 2)|
find_peaks: Find local maxima or global maximum (peaks).
geom_debug: Geom which prints input data to console
geom_null: A null geom or 'non-op' geom.
ggplot: Create a new ggplot plot from time series data.
ggpmisc-ggproto: 'Stat*' Objects
ggpmisc-package: Miscellaneous Extensions to 'ggplot2'
stat_debug_group: Print to console data received by the compute group function.
stat_debug_panel: Print to console data received by the compute panel function.
stat_dens2d_filter: Filter observations in high density regions.
stat_dens2d_labels: Reset labels of observations in high density regions.
stat_fit_augment: Return the data augmented with fitted values and statistics.
stat_fit_deviations: Plot residuals from fit as segments.
stat_fit_glance: Return one row summary data frame for a fitted model.
stat_fit_residuals: Plot residuals from a model fit.
stat_peaks: Find and label local maxima (peaks) or minima (valleys).
stat_poly_eq: Add a label for a fitted linear model to a plot.
try_data_frame: Convert an R object containing observations into a tibble.