R: Automatic Plotting and Theming of Many Graphs

# Automatic Plotting and Theming of Many Graphs

## Documentation for package ‘autograph’ version 1.2.2

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

A C E G I L M P R S T

## -- A --

ag_base | Consistent palette calls
ag_call | Consistent palette calls
ag_divergent | Consistent palette calls
ag_font | Consistent palette calls
ag_highlight | Consistent palette calls
ag_ink | Consistent palette calls
ag_missing | Consistent palette calls
ag_negative | Consistent palette calls
ag_positive | Consistent palette calls
ag_qualitative | Consistent palette calls
ag_sequential | Consistent palette calls
ag_size | Setting the medium a plot is made for

## -- C --

check_contrast | Checking colours for colour blindness, print, and legibility
check_layout | Checking how well a layout draws its ties
check_offset | Checking how well a layout draws its ties
check_separation | Checking colours for colour blindness, print, and legibility
check_span | Checking how well a layout draws its ties
check_stress | Checking how well a layout draws its ties
completion | Completing argument values as you type
count_pages | How many pages a paged diagnostic figure has

## -- E --

ergm_gof | Precooked results for demonstrating plotting

## -- G --

goldfish_changepoints | Precooked results for demonstrating plotting
goldfish_fit | Precooked results for demonstrating plotting
goldfish_gof | Precooked results for demonstrating plotting
goldfish_margins | Precooked results for demonstrating plotting
goldfish_onset | Precooked results for demonstrating plotting
goldfish_outliers | Precooked results for demonstrating plotting
goldfish_time | Precooked results for demonstrating plotting
graphr | Easily graph networks with sensible defaults
graphs | Easily graph a set of networks with sensible defaults
grapht | Easily animate dynamic networks with sensible defaults

## -- I --

is_dark | Matching colors across palettes

## -- L --

layout_concentric | Concentric layout
layout_configuration | Layout algorithms based on configurational positions
layout_correspondence | Correspondence layout
layout_dyad | Layout algorithms based on configurational positions
layout_hexad | Layout algorithms based on configurational positions
layout_ladder | Layered layouts
layout_layered | Layered layouts
layout_levels | Levels layout
layout_lineage | Layered layouts
layout_matching | Matching layout
layout_pentad | Layout algorithms based on configurational positions
layout_railway | Layered layouts
layout_scaling | Scaling layout
layout_tbl_graph_concentric | Concentric layout
layout_tbl_graph_configuration | Layout algorithms based on configurational positions
layout_tbl_graph_correspondence | Correspondence layout
layout_tbl_graph_ladder | Layered layouts
layout_tbl_graph_layered | Layered layouts
layout_tbl_graph_levels | Levels layout
layout_tbl_graph_lineage | Layered layouts
layout_tbl_graph_matching | Matching layout
layout_tbl_graph_railway | Layered layouts
layout_tbl_graph_scaling | Scaling layout
layout_tbl_graph_valence | Valence layout
layout_tetrad | Layout algorithms based on configurational positions
layout_triad | Layout algorithms based on configurational positions
layout_valence | Valence layout
list_fonts | Listing the fonts available to R
load_ergm_res | Plotting convergence diagnostics

## -- M --

made_earlier | Precooked results for demonstrating plotting
map_measure | Plotting logical marks Plotting numeric measures
map_member | Plotting categorical memberships
map_motifs | Plotting tabular motifs
match_color | Matching colors across palettes
model_mrqap | Plotting methods for MRQAP models
monan_conv | Precooked results for demonstrating plotting
monan_gof | Precooked results for demonstrating plotting

## -- P --

plot.ag_conv | Plotting convergence diagnostics
plot.ag_gof | Plotting goodness-of-fit results
plot.changepoints.goldfish | Plotting adequacy diagnostics
plot.diagnose_changepoints | Plotting adequacy diagnostics
plot.diagnose_outliers | Plotting adequacy diagnostics
plot.diffs_model | Plotting diffusion models
plot.diffusion | Plotting diffusion models
plot.diff_model | Plotting diffusion models
plot.ergm | Plotting convergence diagnostics
plot.gof.ergm | Plotting goodness-of-fit results
plot.gof.stats.monan | Plotting goodness-of-fit results
plot.goldfishChangepoints | Plotting adequacy diagnostics
plot.goldfishFit | Plotting a goldfish model fit at a glance
plot.goldfishGOF | Plotting adequacy diagnostics
plot.goldfishMargins | Plotting adequacy diagnostics
plot.goldfishOnset | Plotting adequacy diagnostics
plot.goldfishOutliers | Plotting adequacy diagnostics
plot.goldfishTimeTest | Plotting adequacy diagnostics
plot.influenceTable | Plotting effects interpretation
plot.learn_model | Plotting diffusion models
plot.matrix | Plotting categorical memberships
plot.netlm | Plotting methods for MRQAP models
plot.netlogit | Plotting methods for MRQAP models
plot.network_measures | Plotting logical marks Plotting numeric measures
plot.network_motif | Plotting tabular motifs
plot.network_test | Plotting methods for CUG and QAP tests
plot.node_measure | Plotting logical marks Plotting numeric measures
plot.node_member | Plotting categorical memberships
plot.node_motif | Plotting tabular motifs
plot.outliers.goldfish | Plotting adequacy diagnostics
plot.result.goldfish | Plotting a goldfish model fit at a glance
plot.selectionTable | Plotting effects interpretation
plot.sienaGOF | Plotting goodness-of-fit results
plot.tie_measure | Plotting logical marks Plotting numeric measures
plot.traces.monan | Plotting convergence diagnostics
plot_adequacy | Plotting adequacy diagnostics
plot_convergence | Plotting convergence diagnostics
plot_gof | Plotting goodness-of-fit results
plot_goldfish_fit | Plotting a goldfish model fit at a glance
plot_graphr | Easily graph networks with sensible defaults
plot_graphs | Easily graph a set of networks with sensible defaults
plot_grapht | Easily animate dynamic networks with sensible defaults
plot_interp | Plotting effects interpretation
print.grapht | Easily animate dynamic networks with sensible defaults

## -- R --

res_manynet_diff | Precooked results for demonstrating plotting
res_migraph_diff | Precooked results for demonstrating plotting
res_migraph_reg | Precooked results for demonstrating plotting
res_migraph_test | Precooked results for demonstrating plotting

## -- S --

set_completion | Completing argument values as you type
set_stocnet_medium | Setting the medium a plot is made for
set_stocnet_theme | Setting a consistent theme for all plots
siena_gof | Precooked results for demonstrating plotting
siena_influence | Precooked results for demonstrating plotting
siena_selection | Precooked results for demonstrating plotting
simulate_colorblind | Checking colours for colour blindness, print, and legibility
stocnet_completion | Completing argument values as you type
stocnet_medium | Setting the medium a plot is made for
stocnet_theme | Setting a consistent theme for all plots

## -- T --

theme_colorblind | Checking colours for colour blindness, print, and legibility
theme_match | Matching colors across palettes
theme_medium | Setting the medium a plot is made for
theme_set | Setting a consistent theme for all plots