Function reference • GGally

Plot Matrix More details in `vig_ggally("ggpairs")`, `vig_ggally("ggmatrix")`, and `vig_ggally("ggscatmat")`
`ggmatrix()`	ggplot2 plot matrix
`ggpairs()`	ggplot2 generalized pairs plot
`ggduo()`	ggplot2 generalized pairs plot for two columns sets of data
`ggscatmat()`	Traditional scatterplot matrix for purely quantitative variables
`ggfacet()`	Single ggplot2 plot matrix with `facet_grid`
`ggts()`	Multiple time series
High-Level Plots See `vig_ggally("ggally_plots")` for a list with examples of all high-level plots.
`ggally_autopoint()` `ggally_autopointDiag()`	Scatterplot for continuous and categorical variables
`ggally_barDiag()`	Bar plot
`ggally_blank()` `ggally_blankDiag()`	Blank plot
`ggally_box()` `ggally_box_no_facet()`	Box plot
`ggally_colbar()` `ggally_rowbar()`	Column and row bar plots
`ggally_count()` `ggally_countDiag()`	Display counts of observations
`ggally_cor()`	Correlation value plot
`ggally_cross()`	Plots the number of observations
`ggally_crosstable()`	Display a cross-tabulated table
`ggally_density()`	Bivariate density plot
`ggally_densityDiag()`	Univariate density plot
`ggally_denstrip()`	Tile plot with facets
`ggally_diagAxis()`	Internal axis labels for ggpairs
`ggally_dot()` `ggally_dot_no_facet()`	Grouped dot plot
`ggally_facetbar()`	Faceted bar plot
`ggally_facetdensity()`	Faceted density plot
`ggally_facetdensitystrip()`	Density or tiles plot with facets
`ggally_facethist()`	Faceted histogram
`ggally_na()` `ggally_naDiag()`	NA plot
`ggally_points()`	Scatter plot
`ggally_ratio()`	Mosaic plot
`ggally_smooth()` `ggally_smooth_loess()` `ggally_smooth_lm()`	Scatter plot with a smoothed line
`ggally_statistic()`	Generalized text display
`ggally_summarise_by()` `weighted_median_iqr()` `weighted_mean_sd()`	Summarize a continuous variable by each value of a discrete variable
`ggally_table()` `ggally_tableDiag()`	Display a table of the number of observations
`ggally_text()`	Text plot
`ggally_trends()`	Trends line plot
Major Plotting Functions More details in `vig_ggally("ggbivariate")`, `vig_ggally("ggcoef")`, `vig_ggally("ggcoef_model")`, `vig_ggally("ggsurv")`, and `vig_ggally("ggtable")`
`ggbivariate()`	Display an outcome using several potential explanatory variables
`ggcoef()`	Model coefficients with broom and ggplot2
`reexports` `ggcoef_model` `ggcoef_compare` `ggcoef_multinom` `ggcoef_plot` `signif_stars` `geom_stripped_cols` `geom_stripped_rows` `stat_cross` `StatCross` `stat_prop` `StatProp` `stat_weighted_mean` `StatWeightedMean`	Objects exported from other packages
`ggcorr()`	Correlation matrix
`ggparcoord()`	Parallel coordinate plot
`ggsurv()`	Survival curves
`ggtable()`	Cross-tabulated tables of discrete variables
Modeling Diagnostics More details in `vig_ggally("ggnostic")`
`ggnostic()`	Plot matrix of statistical model diagnostics
`broomify()`	Broomify a model
`ggally_nostic_cooksd()`	`ggnostic` Cook's distance
`ggally_nostic_hat()`	`ggnostic` leverage points
`ggally_nostic_line()`	`ggnostic` background line with geom
`ggally_nostic_resid()`	`ggnostic` residuals
`ggally_nostic_se_fit()`	`ggnostic` fitted value's standard error
`ggally_nostic_sigma()`	`ggnostic` leave one out model sigma
`ggally_nostic_std_resid()`	`ggnostic` standardized residuals
Glyph Plot More details in `vig_ggally("glyph")`
`glyphs()`	Create `glyphplot` data
`add_ref_boxes()`	Add reference boxes around each cell of the glyphmap.
`add_ref_lines()`	Add reference lines for each cell of the glyphmap.
`glyphplot()` `is.glyphplot()` `[`(<glyphplot>) `print(<glyphplot>)`	Glyph plot class
`range01()` `max1()` `mean0()` `min0()` `rescale01()` `rescale11()`	Rescaling functions
Network Plots More details in `vig_ggally("ggnetworkmap")`
`ggnet()`	Network plot
`ggnet2()`	Network plot
`ggnetworkmap()`	Network plot map overlay
Additional Statistics for `ggplot2` More details in `vig_ggally("ggally_stats")`
`reexports` `ggcoef_model` `ggcoef_compare` `ggcoef_multinom` `ggcoef_plot` `signif_stars` `geom_stripped_cols` `geom_stripped_rows` `stat_cross` `StatCross` `stat_prop` `StatProp` `stat_weighted_mean` `StatWeightedMean`	Objects exported from other packages
Additional Geometries for `ggplot2`
`reexports` `ggcoef_model` `ggcoef_compare` `ggcoef_multinom` `ggcoef_plot` `signif_stars` `geom_stripped_cols` `geom_stripped_rows` `stat_cross` `StatCross` `stat_prop` `StatProp` `stat_weighted_mean` `StatWeightedMean`	Objects exported from other packages
ggmatrix() Helpers
`+`(<gg>) `add_to_ggmatrix()`	Modify a `ggmatrix` object by adding an ggplot2 object to all plots
`ggmatrix_location()`	`ggmatrix` plot locations
`wrap_fn_with_param_arg()` `wrapp()` `wrap()` `wrap_fn_with_params()`	Wrap a function with different parameter values
`getPlot()` `[`(<ggmatrix>)	Subset a `ggmatrix` object
`putPlot()` `[<-`(<ggmatrix>)	Insert a plot into a `ggmatrix` object
`fn_switch()`	Function switch
`grab_legend()` `print(<legend_guide_box>)`	Grab the legend and print it as a plot
`gglegend()`	Plot only legend of plot function
`eval_data_col()`	Evaluate data column
`mapping_swap_x_y()`	Swap x and y mapping
`mapping_color_to_fill()`	Aesthetic mapping color fill
`remove_color_unless_equal()`	Remove colour mapping unless found in select mapping keys
`print(<ggmatrix>)`	Print `ggmatrix` object
`ggmatrix_gtable()`	`ggmatrix` gtable object
`ggmatrix_progress()`	`ggmatrix` default progress bar
`str(<ggmatrix>)`	`ggmatrix` structure
`print_if_interactive()`	Print if not CRAN
Utilities
`brew_colors()`	RColorBrewer Set1 colors
`find_plot_type()`	Find plot types
`is_horizontal()` `is_character_column()`	Check if plot is horizontal
`lowertriangle()`	lowertriangle - rearrange dataset as the preparation of `ggscatmat` function
`mapping_string()`	Aes name
`model_response_variables()` `model_beta_variables()` `model_beta_label()`	Model term names
`scag_order()`	Find order of variables
`scatmat()`	Plots the lowertriangle and density plots of the scatter plot matrix.
`singleClassOrder()`	Order axis variables
`skewness()`	Sample skewness
`reexports` `ggcoef_model` `ggcoef_compare` `ggcoef_multinom` `ggcoef_plot` `signif_stars` `geom_stripped_cols` `geom_stripped_rows` `stat_cross` `StatCross` `stat_prop` `StatProp` `stat_weighted_mean` `StatWeightedMean`	Objects exported from other packages
`uppertriangle()`	Rearrange dataset as the preparation of `ggscatmat` function
`vig_ggally()`	View GGally vignettes
Datasets
`australia_PISA2012`	Programme for International Student Assessment (PISA) 2012 Data for Australia
`baseball`	Yearly batting records for all major league baseball players
`flea`	Historical data used for classification examples.
`happy`	Data related to happiness from the General Social Survey, 1972-2006.
`nasa`	Data from the Data Expo JSM 2006.
`pigs`	United Kingdom Pig Production
`psychademic`	UCLA canonical correlation analysis data
`tips`	Tipping data
`twitter_spambots`	Twitter spambots
Legacy
`v1_ggmatrix_theme()`	Modify a `ggmatrix` object by adding an ggplot2 object to all
`ggally_cor_v1_5()`	Correlation value plot

Reference

Plot Matrix

High-Level Plots

Major Plotting Functions

Modeling Diagnostics

Glyph Plot

Network Plots

Additional Statistics for `ggplot2`

Additional Geometries for `ggplot2`

ggmatrix() Helpers

Utilities

Datasets

Legacy

Reference

Plot Matrix

High-Level Plots

Major Plotting Functions

Modeling Diagnostics

Glyph Plot

Network Plots

Additional Statistics for ggplot2

Additional Geometries for ggplot2

ggmatrix() Helpers

Utilities

Datasets

Legacy

Additional Statistics for `ggplot2`

Additional Geometries for `ggplot2`