1. CAinterprTools::brand_coffee
    Dataset: Cross-tabulation of coffee brands vs. consumers' opinion
  2. CAinterprTools::breakfast
    Dataset: Cross-tabulation of breakfast food vs consumers' opinion
  3. CAinterprTools::diseases
    Dataset: Cross-tabulation of quantity of tobacco smoked daily vs. cause of death
  4. CAinterprTools::fire_loss
    Dataset: Cross-tabulation of cause of fire vs. amount of money loss
  5. CAinterprTools::greenacre_data
    Dataset: Cross-tabulation of funding category vs. University faculty
  6. caplot::borggroenen
    Dataset: Cross-tabulation of crime rate vs. 10 US states
  7. caplot::yelland
    Dataset: Cross-tabulation of authors vs. alphabet letters
  8. chisquare::diseases
    Dataset: Cross-tabulation of quantity of tobacco smoked daily vs. cause of death
  9. chisquare::safety
    Dataset: Cross-tabulation of people's feeling of safety vs. town size
  10. chisquare::social_class
    Dataset: Cross-tabulation of social class vs. diagnostic category for a sample of psychiatric patients
  11. movecost::Etna_boundary
    Dataset: bounding polygon representing a study area on Mount Etna (Sicily, Italy)
    SpatialPolygonsDataFrame
  12. movecost::Etna_end_location
    Dataset: locations on Mount Etna (Sicily, Italy)
    SpatialPointsDataFrame
  13. movecost::Etna_start_location
    Dataset: location on Mount Etna (Sicily, Italy)
    SpatialPointsDataFrame
  14. movecost::destin.loc
    Dataset: locations on the volcano Maunga Whau (Auckland, New Zealand)
    SpatialPointsDataFrame
  15. movecost::malta_dtm_40
    Dataset: Malta DTM (40m cell size)
    RasterLayer
  16. movecost::springs
    Dataset: location of springs in Malta
    SpatialPointsDataFrame
  17. movecost::volc
    Dataset: raster dataset representing the elevation of the volcano Maunga Whau (Auckland, New Zealand)
    RasterLayer
  18. movecost::volc.loc
    Dataset: location on the volcano Maunga Whau (Auckland, New Zealand)
    SpatialPointsDataFrame