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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.