| +.gg() |
Add components to a plot |
|
|
| absoluteGrob() |
Absolute grob |
|
|
| add_theme() |
Modify properties of an element in a theme object |
|
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| aes() |
Construct aesthetic mappings |
|
|
| aes_() |
Define aesthetic mappings programatically |
|
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| aes_all() |
Given a character vector, create a set of identity mappings |
|
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| aes_auto() |
Automatic aesthetic mapping |
|
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| aes_colour_fill_alpha() |
Colour related aesthetics: colour, fill and alpha |
|
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| aes_group_order() |
Aesthetics: grouping |
|
|
| aes_linetype_size_shape() |
Differentiation related aesthetics: linetype, size, shape |
|
|
| aes_position() |
Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend |
|
|
| annotate() |
Create an annotation layer |
|
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| annotation_custom() |
Annotation: Custom grob |
|
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| annotation_logticks() |
Annotation: log tick marks |
|
|
| annotation_map() |
Annotation: a maps |
|
|
| annotation_raster() |
Annotation: high-performance rectangular tiling |
|
|
| as.list.ggproto() |
Convert a ggproto object to a list |
|
|
| as_labeller() |
Coerce to labeller function |
|
|
| autoplot() |
Create a complete ggplot appropriate to a particular data type |
|
|
| benchplot() |
Benchmark plot creation time. Broken down into construct, build, render and draw times. |
|
|
| borders() |
Create a layer of map borders |
|
|
| calc_element() |
Calculate the element properties, by inheriting properties from its parents |
|
|
| combine_vars() |
Take input data and define a mapping between facetting variables and ROW, COL and PANEL keys |
|
|
| continuous_scale() |
Continuous scale constructor. |
|
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| coord_cartesian() |
Cartesian coordinates |
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| coord_fixed() |
Cartesian coordinates with fixed "aspect ratio" |
|
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| coord_flip() |
Cartesian coordinates with x and y flipped |
|
|
| coord_map() |
Map projections |
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| coord_munch() |
Munch coordinates data |
|
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| coord_polar() |
Polar coordinates |
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| coord_trans() |
Transformed Cartesian coordinate system |
|
|
| cut_interval() |
Discretise numeric data into categorical |
|
|
| diamonds() |
Prices of 50,000 round cut diamonds |
|
|
| discrete_scale() |
Discrete scale constructor. |
|
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| draw_key() |
Key drawing functions |
|
|
| economics() |
US economic time series |
|
|
| element_grob() |
Generate grid grob from theme element |
|
|
| expand_limits() |
Expand the plot limits, using data |
|
|
| facet_grid() |
Lay out panels in a grid |
|
|
| facet_null() |
Facet specification: a single panel. |
|
|
| facet_wrap() |
Wrap a 1d ribbon of panels into 2d |
|
|
| faithfuld() |
2d density estimate of Old Faithful data |
|
|
| find_panel() |
Find panels in a gtable |
|
|
| fortify() |
Fortify a model with data. |
|
|
| fortify.lm() |
Supplement the data fitted to a linear model with model fit statistics. |
|
|
| fortify.map() |
Fortify method for map objects |
|
|
| fortify.sp() |
Fortify method for classes from the sp package. |
|
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| fortify-multcomp() |
Fortify methods for objects produced by multcomp |
|
|
| geom_abline() |
Reference lines: horizontal, vertical, and diagonal |
|
|
| geom_bar() |
Bars charts |
|
|
| geom_bin2d() |
Heatmap of 2d bin counts |
|
|
| geom_blank() |
Draw nothing |
|
|
| geom_boxplot() |
A box and whiskers plot (in the style of Tukey) |
|
|
| geom_contour() |
2d contours of a 3d surface |
|
|
| geom_count() |
Count overlapping points |
|
|
| geom_crossbar() |
Vertical intervals: lines, crossbars & errorbars |
|
|
| geom_density() |
Smoothed density estimates |
|
|
| geom_density_2d() |
Contours of a 2d density estimate |
|
|
| geom_dotplot() |
Dot plot |
|
|
| geom_errorbarh() |
Horizontal error bars |
|
|
| geom_freqpoly() |
Histograms and frequency polygons |
|
|
| geom_hex() |
Hexagonal heatmap of 2d bin counts |
|
|
| geom_jitter() |
Jittered points |
|
|
| geom_label() |
Text |
|
|
| geom_map() |
Polygons from a reference map |
|
|
| geom_path() |
Connect observations |
|
|
| geom_point() |
Points |
|
|
| geom_polygon() |
Polygons |
|
|
| geom_qq() |
A quantile-quantile plot |
|
|
| geom_quantile() |
Quantile regression |
|
|
| geom_raster() |
Rectangles |
|
|
| geom_ribbon() |
Ribbons and area plots |
|
|
| geom_rug() |
Rug plots in the margins |
|
|
| geom_segment() |
Line segments and curves |
|
|
| geom_smooth() |
Smoothed conditional means |
|
|
| geom_spoke() |
Line segments parameterised by location, direction and distance |
|
|
| geom_violin() |
Violin plot |
|
|
| gg_dep() |
Give a deprecation error, warning, or message, depending on version number. |
|
|
| ggplot() |
Create a new ggplot |
|
|
| ggplot_build() |
Build ggplot for rendering. |
|
|
| ggplot_gtable() |
Build a plot with all the usual bits and pieces. |
|
|
| ggplot2-ggproto() |
Base ggproto classes for ggplot2 |
|
|
| ggplot2-package() |
ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics |
|
|
| ggplotGrob() |
Generate a ggplot2 plot grob. |
|
|
| ggproto() |
Create a new ggproto object |
|
|
| ggsave() |
Save a ggplot (or other grid object) with sensible defaults |
|
|
| ggtheme() |
Complete themes |
|
|
| graphical-units() |
Graphical units |
|
|
| guide_colourbar() |
Continuous colour bar guide |
|
|
| guide_legend() |
Legend guide |
|
|
| guides() |
Set guides for each scale |
|
|
| hmisc() |
A selection of summary functions from Hmisc |
|
|
| is.Coord() |
Is this object a coordinate system? |
|
|
| is.facet() |
Is this object a facetting specification? |
|
|
| is.ggplot() |
Reports whether x is a ggplot object |
|
|
| is.rel() |
Reports whether x is a rel object |
|
|
| is.theme() |
Reports whether x is a theme object |
|
|
| label_bquote() |
Label with mathematical expressions |
|
|
| labeller() |
Construct labelling specification |
|
|
| labellers() |
Useful labeller functions |
|
|
| labs() |
Modify axis, legend, and plot labels |
|
|
| last_plot() |
Retrieve the last plot to be modified or created. |
|
|
| layer() |
Create a new layer |
|
|
| limits() |
Generate correct scale type for specified limits |
|
|
| lims() |
Set scale limits |
|
|
| map_data() |
Create a data frame of map data |
|
|
| margin() |
Theme elements |
|
|
| max_height() |
Get the maximal width/length of a list of grobs |
|
|
| mean_se() |
Calculate mean and standard error |
|
|
| midwest() |
Midwest demographics |
|
|
| mpg() |
Fuel economy data from 1999 and 2008 for 38 popular models of car |
|
|
| msleep() |
An updated and expanded version of the mammals sleep dataset |
|
|
| position_dodge() |
Dodge overlapping objects side-to-side |
|
|
| position_identity() |
Don't adjust position |
|
|
| position_jitter() |
Jitter points to avoid overplotting |
|
|
| position_jitterdodge() |
Simultaneously dodge and jitter |
|
|
| position_nudge() |
Nudge points a fixed distance |
|
|
| position_stack() |
Stack overlapping objects on top of each another |
|
|
| presidential() |
Terms of 11 presidents from Eisenhower to Obama |
|
|
| print.ggplot() |
Explicitly draw plot |
|
|
| print.ggproto() |
Format or print a ggproto object |
|
|
| qplot() |
Quick plot |
|
|
| reexports() |
Objects exported from other packages |
|
|
| remove_missing() |
Convenience function to remove missing values from a data.frame |
|
|
| render_axes() |
Render panel axes |
|
|
| render_strips() |
Render panel strips |
|
|
| resolution() |
Compute the "resolution" of a numeric vector |
|
|
| scale_alpha() |
Alpha transparency scales |
|
|
| scale_colour_brewer() |
Sequential, diverging and qualitative colour scales from colorbrewer.org |
|
|
| scale_colour_gradient() |
Gradient colour scales |
|
|
| scale_colour_grey() |
Sequential grey colour scales |
|
|
| scale_colour_hue() |
Evenly spaced colours for discrete data |
|
|
| scale_continuous() |
Position scales for continuous data (x & y) |
|
|
| scale_date() |
Position scales for date/time data |
|
|
| scale_identity() |
Use values without scaling |
|
|
| scale_linetype() |
Scale for line patterns |
|
|
| scale_manual() |
Create your own discrete scale |
|
|
| scale_shape() |
Scales for shapes, aka glyphs |
|
|
| scale_size() |
Scales for area or radius |
|
|
| scale_x_discrete() |
Position scales for discrete data |
|
|
| seals() |
Vector field of seal movements |
|
|
| sec_axis() |
Specify a secondary axis |
|
|
| should_stop() |
Used in examples to illustrate when errors should occur. |
|
|
| stat_ecdf() |
Compute empirical cumulative distribution |
|
|
| stat_ellipse() |
Compute normal confidence ellipses |
|
|
| stat_function() |
Compute function for each x value |
|
|
| stat_identity() |
Leave data as is |
|
|
| stat_summary_2d() |
Bin and summarise in 2d (rectangle & hexagons) |
|
|
| stat_summary_bin() |
Summarise y values at unique/binned x |
|
|
| stat_unique() |
Remove duplicates |
|
|
| summary.ggplot() |
Displays a useful description of a ggplot object |
|
|
| theme() |
Modify components of a theme |
|
|
| theme_get() |
Get, set, and modify the active theme |
|
|
| transform_position() |
Convenience function to transform all position variables. |
|
|
| translate_qplot_ggplot() |
Translating between qplot and ggplot |
|
|
| translate_qplot_lattice() |
Translating between qplot and lattice |
|
|
| update_geom_defaults() |
Modify geom/stat aesthetic defaults for future plots |
|
|
| update_labels() |
Update axis/legend labels |
|
|
| waiver() |
A waiver object. |
|
|
| wrap_dims() |
Arrange 1d structure into a grid |
|
|
| zeroGrob() |
The zero grob draws nothing and has zero size. |
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