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All functions

add_group_info()
Add grouping information of the WDI data to a metric summary
compute_diagnostic_indices()
Compute the set of diagnostic indices
compute_dissimilarity()
Compute dissimilarity between pair of countries Calculate pairwise dissimilarities and convert the output to matrix.
compute_temporal_features()
Compute sequential temporal features
compute_trend_shape_features()
Compute trend and shape features
compute_variation()
Compute variation features
get_valid_data()
Extract valid data from the WDI data Reports countries with no data point, countries with one data point, as well as years for which no data are available.
get_wdi_data()
Download WDI data using the WDI R package
pisa_data
PISA mathematics average scores
plot_data_trajectories()
Plot of data trajectories
plot_metric_distribution()
Plot distribution(s) of diagnostic metric(s)
plot_metric_linkview()
Plot of diagnostic metrics linked to data trajectories
plot_metric_partition()
Plot of metric values partitioned by grouping variable
plot_missing()
Missingness plot of the indicator data
plot_parallel_coords()
Plot of diagnostic metrics parallel coordinate plot
pm_data
PM2.5 air pollution data