Plot of diagnostic metrics linked to data trajectories — plot_metric

Creates an interactive plot linking the scatterplot of two selected metrics with data trajectories. The scatterplot showing the relationship between specified metrics are presented in one panel, and the data trajectories are presented in another panel. Hovering over a point in the scatterplot highlights the corresponding trajectory with the country name, and vice versa.

Usage

plot_metric_linkview(
  wdi_data,
  index = NULL,
  metric_summary,
  metric_var,
  group_var = NULL
)

Arguments

wdi_data: A data frame of the indicator data generated by get_wdi_data
index: A character string specifying the indicator code Defaults to NULL
metric_summary: A data frame containing computed diagnostic metrics and the pre-defined grouping information, generated by passing the output of any diagnostic metrics function to add_group_info
metric_var: A vector of character strings specifying metric variable names in metric_summary
group_var: A grouping variable in the WDI data set (e.g., "region" or "income") Default to NULL If NULL, both plots are ungrouped and if specified, they are grouped by the levels of the specified grouping variable

Value

An ungrouped or grouped interactive girafe object displaying the two panels, one with the scatterplot of two specified metrics and the other with the data trajectories.

Examples

pm_diagnostic_metrics <- compute_diagnostic_indices(pm_data, group_var = "region")
pm_diagnostic_metrics_group <- add_group_info(metric_summary = pm_diagnostic_metrics,pm_data)
plot_metric_linkview(pm_data, metric_summary = pm_diagnostic_metrics,
metric_var = c("linearity", "curvature"))