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taiwanese_banks: a balanced panel of 22
Taiwanese commercial banks over 2009-2011 (Kao & Liu, 2014, ), used
as the worked example for plot_panel_io_biplot().plot_panel_io_biplot() now accepts inputs,
outputs, id and period as integer
column positions as well as names, and repels the loading-vector labels
(via ggrepel) so they no longer overlap.x_angle argument on plot_io_parcoo(),
plot_io_heatmap(), plot_cem_heatmap(),
plot_cem_weights_heatmap() and
plot_io_distributions() to rotate long x-axis tick labels
for readability.labels now fades the rest of the
plot into a focus view (keeping the chosen DMU’s sub-network /
trajectory); the fade argument tunes the fade level or
disables it.dea_data
object and follow a compute_* / plot_* naming
convention.compute_efficiency(),
compute_cross_efficiency(),
compute_cross_efficiency_weights(),
standardize_weights(),
compute_multiplier_weights(),
compute_som().plot_efficiency_bar(),
plot_efficiency_comparison(),
plot_cross_efficiency(), plot_cem_unfolding(),
plot_cross_efficiency_weights_heatmap(),
plot_pca_biplot(), plot_mds(),
plot_porembski_network(), plot_panel_biplot(),
plot_som(), plot_som_components(),
plot_costa_frontier(),
plot_parallel_coordinates(),
plot_3d_scatter(), plot_histograms(),
plot_dotplots(), plot_pairwise_scatter(),
plot_input_output_heatmap().chinese_cities example dataset (35 cities, 3
inputs, 3 outputs).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.