High-Performance Open-Source Archive
sample_different_varnames (formerly
sample_diff_varnames).sample_no_switching (formerly
sample_no_crossing).plot_continuity() gains a new argument,
show_candidate_networks. It adds an additional bottom panel
visualising candidate network snapshots for each selected election. The
snapshots highlight candidates running in the focal election, show
earlier candidates as smaller background nodes, and reflect group
affiliations (e.g., parties or cores) through node colours and candidate
lists through group boundaries around the nodes.Bublava_SO_czCernosice_PZ_czDasnice_SO_czHoromerice_PZ_czHradce_CB_czKamenna_CB_czNebanice_CH_czPotucky_KV_czPrameny_CH_czRoztoky_PZ_czsample_no_pluralism - variant of
sample_data with only one candidate list per election.plot_continuity() no longer requires grouping
information (e.g., parties) when marking a specific candidate via
mark = c("candidate", "<name>"). The function now
highlights the candidate and their lists even in ungrouped datasets,
avoiding unnecessary community detection.plot_continuity() now detects the UTF-8 capability of
the current graphics device. It automatically switches to ASCII mode
when running in non-interactive or CI environments, or when the device
cannot render UTF-8.lpanda.text_encoding — "auto" (default) |
"utf8" | "ascii"lpanda.plot_family — "sans" (default)lpanda.force_ascii — FALSE (default)text_encoding
argument via ... in plotting functions.plot_continuity() now properly resets the graphics
layout to prevent occasional overlapping plots.help("lpanda") / ?lpanda now provide basic
package information, including an overview of the basic workflow, main
functions, datasets, and references.plot_continuity() now always restores graphical
parameters (even if an error occurs).prepare_network_data() - creates network edgelists and
node attributes for candidates, lists, continuity, parties, cores and
elections.plot_continuity() - visualizes the continuity of
candidate lists across elections as a time-based diagram using igraph
package.Doubice_DC_czJilove_DC_czsample_datasample_diff_varnamessample_binary_valuessample_no_continuitysample_no_crossing
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