Automatic Plotting of Many Graphs

Documentation for package ‘autograph’ version 0.4.0

Help Pages

-- 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 --

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.diffs_model	Plotting diffusion models
plot.diffusion	Plotting diffusion models
plot.diff_model	Plotting diffusion models
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.mcmc.list	Plotting convergence diagnostics
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.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_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 --

scale_color_centres	Themed scales for further customization
scale_color_ethz	Themed scales for further customization
scale_color_iheid	Themed scales for further customization
scale_color_rug	Themed scales for further customization
scale_color_sdgs	Themed scales for further customization
scale_color_uzh	Themed scales for further customization
scale_colour_centres	Themed scales for further customization
scale_colour_ethz	Themed scales for further customization
scale_colour_iheid	Themed scales for further customization
scale_colour_rug	Themed scales for further customization
scale_colour_sdgs	Themed scales for further customization
scale_colour_uzh	Themed scales for further customization
scale_edge_color_centres	Themed scales for further customization
scale_edge_color_ethz	Themed scales for further customization
scale_edge_color_iheid	Themed scales for further customization
scale_edge_color_rug	Themed scales for further customization
scale_edge_color_sdgs	Themed scales for further customization
scale_edge_color_uzh	Themed scales for further customization
scale_edge_colour_centres	Themed scales for further customization
scale_edge_colour_ethz	Themed scales for further customization
scale_edge_colour_iheid	Themed scales for further customization
scale_edge_colour_rug	Themed scales for further customization
scale_edge_colour_sdgs	Themed scales for further customization
scale_edge_colour_uzh	Themed scales for further customization
scale_fill_centres	Themed scales for further customization
scale_fill_ethz	Themed scales for further customization
scale_fill_iheid	Themed scales for further customization
scale_fill_rug	Themed scales for further customization
scale_fill_sdgs	Themed scales for further customization
scale_fill_uzh	Themed scales for further customization
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_scales	Themed scales for further customization
theme_set	Setting a consistent theme for all plots