Package index • 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() deprecated: 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() deprecated: Modify a ggmatrix object by adding an ggplot2 object to all

ggally_cor_v1_5() deprecated: Correlation value plot