Package index • ggpp

Package overview
`ggpp` `ggpp-package`	ggpp: Grammar Extensions to 'ggplot2'
Scales Scales control de mapping of values in data to values of an aesthetic, or the propeerties of the plot’s graphic elements.
`scale_npcx_continuous()` `scale_npcy_continuous()`	Position scales for continuous data (npcx & npcy)
`compute_npcx()` `compute_npcy()` `as_npcx()` `as_npcy()` `compute_npc()` `as_npc()`	Compute NPC coordinates
Geoms Geoms, short for geometric objects, describe the type of plot you will produce. They add a plot layer containing graphic elements representing values in the data,
`annotate()`	Annotations supporting NPC
`geom_label_npc()` `geom_text_npc()`	Text with Normalised Parent Coordinates
`geom_label_s()` `geom_text_s()`	Linked Text
`geom_label_pairwise()` `geom_text_pairwise()`	Label pairwise comparisons
`geom_point_s()`	Points linked by a segment
`geom_x_margin_point()` `geom_y_margin_point()`	Reference points on the margins
`geom_x_margin_arrow()` `geom_y_margin_arrow()`	Reference arrows on the margins
`geom_x_margin_grob()` `geom_y_margin_grob()`	Add Grobs on the margins
`geom_quadrant_lines()` `geom_vhlines()`	Reference lines: horizontal plus vertical, and quadrants
`geom_plot()` `geom_plot_npc()`	Inset plots
`geom_grob()` `geom_grob_npc()`	Inset graphical objects
`geom_table()` `geom_table_npc()`	Inset tables
`ttheme_gtdefault()` `ttheme_gtminimal()` `ttheme_gtbw()` `ttheme_gtplain()` `ttheme_gtdark()` `ttheme_gtlight()` `ttheme_gtsimple()` `ttheme_gtstripes()`	Table themes
`ttheme_set()` `set_ttheme()`	Set default table theme
Statistics It is often useful to summarize data before plotting, e.g., fiting models or computing means, or modifying the data in some other way.
`stat_dens1d_filter()` `stat_dens1d_filter_g()`	Filter observations by local 1D density
`stat_dens1d_labels()`	Replace labels in data based on 1D density
`stat_dens2d_filter()` `stat_dens2d_filter_g()`	Filter observations by local 2D density
`stat_dens2d_labels()`	Replace labels in data based on 2D density
`stat_quadrant_counts()`	Number of observations in quadrants
`stat_panel_counts()` `stat_group_counts()`	Number of observations in a plot panel
`stat_fmt_tb()`	Select and slice a tibble nested in `data`
`stat_apply_group()` `stat_summary_xy()` `stat_centroid()`	Apply a function to x or y values
`stat_functions()`	Draw functions as curves
Positions It is often useful to displace plot elements away from their original positions to obtain stacked, side-by-side or non-overlapping plot elements.
`position_nudge_keep()`	Nudge points a fixed distance
`position_nudge_center()` `position_nudge_centre()`	Nudge labels away from a central point
`position_nudge_line()`	Nudge labels away from a line
`position_nudge_to()`	Nudge labels to new positions
`position_dodgenudge()` `position_dodge_keep()` `position_dodge2nudge()` `position_dodge2_keep()`	Combined positions dodge and nudge
`position_stacknudge()` `position_fillnudge()` `position_stack_keep()` `position_fill_keep()` `position_stack_minmax()`	Combined positions stack and nudge
`position_jitternudge()` `position_jitter_keep()`	Combined positions jitter and nudge
`position_dodgenudge_to()` `position_dodge2nudge_to()`	Dodge plus nudge labels to new positions
`position_stacknudge_to()` `position_fillnudge_to()`	Stack plus nudge labels to new positions
Plot creation Additional ggplot methods for specific classes of data objects.
`ggplot(<ts>)` `ggplot(<xts>)`	Create a new ggplot plot from time series data
Helper functions Additional functions that can be useful when creating plots.
`dark_or_light()`	Chose between dark and light color
`try_data_frame()` `try_tibble()`	Convert an R object into a tibble
`wrap_labels()`	Wrap character strings in a vector
Example data Data sets as R objects. The data are used for examples in the documentation.
`birch.df` `birch_dw.df`	Birch seedlings' size
`ivy.df`	Ivy photosynthesis light response
`quadrant_example.df`	Gene expression data
`volcano_example.df`	Gene expression data
`weather_18_june_2019.df`	Weather data

Reference

Package overview

Scales

Geoms

Statistics

Positions

Plot creation

Helper functions

Example data