# Automatic Plotting and Theming of Many Graphs

## Documentation for package ‘autograph’ version 0.6.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

A 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_negative | Consistent palette calls
ag_positive | Consistent palette calls
ag_qualitative | Consistent palette calls
ag_sequential | Consistent palette calls

## -- E --

ergm_gof | Precooked results for demonstrating plotting
ergm_res | Precooked results for demonstrating plotting

## -- G --

goldfish_changepoints | Precooked results for demonstrating plotting
goldfish_outliers | 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_alluvial | Layout algorithms based on bi- or other partitions
layout_concentric | Layout algorithms based on bi- or other partitions
layout_configuration | Layout algorithms based on configurational positions
layout_dyad | Layout algorithms based on configurational positions
layout_hexad | Layout algorithms based on configurational positions
layout_hierarchy | Layout algorithms based on bi- or other partitions
layout_ladder | Layout algorithms based on bi- or other partitions
layout_layered | Layered layout
layout_lineage | Layout algorithms based on bi- or other partitions
layout_matching | Matching layout
layout_multilevel | Layout algorithms based on bi- or other partitions
layout_partition | Layout algorithms based on bi- or other partitions
layout_pentad | Layout algorithms based on configurational positions
layout_railway | Layout algorithms based on bi- or other partitions
layout_tbl_graph_alluvial | Layout algorithms based on bi- or other partitions
layout_tbl_graph_concentric | Layout algorithms based on bi- or other partitions
layout_tbl_graph_configuration | Layout algorithms based on configurational positions
layout_tbl_graph_dyad | Layout algorithms based on configurational positions
layout_tbl_graph_hexad | Layout algorithms based on configurational positions
layout_tbl_graph_hierarchy | Layout algorithms based on bi- or other partitions
layout_tbl_graph_ladder | Layout algorithms based on bi- or other partitions
layout_tbl_graph_layered | Layered layout
layout_tbl_graph_lineage | Layout algorithms based on bi- or other partitions
layout_tbl_graph_matching | Matching layout
layout_tbl_graph_multilevel | Layout algorithms based on bi- or other partitions
layout_tbl_graph_pentad | Layout algorithms based on configurational positions
layout_tbl_graph_railway | Layout algorithms based on bi- or other partitions
layout_tbl_graph_tetrad | Layout algorithms based on configurational positions
layout_tbl_graph_triad | Layout algorithms based on configurational positions
layout_tbl_graph_valence | Valence-based layout
layout_tetrad | Layout algorithms based on configurational positions
layout_triad | Layout algorithms based on configurational positions
layout_valence | Valence-based layout

## -- 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.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.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.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_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

## -- 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_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
stocnet_theme | Setting a consistent theme for all plots

## -- T --

theme_match | Matching colors across palettes
theme_set | Setting a consistent theme for all plots