#> 7 Hirshhorn Museum and Sculpture Garden 38.9 - 77.0 2008. #> 4 Smithsonian American Art Museum 38.9 - 77.0 1636. #> 3 National Museum of the American Indian 38.9 - 77.0 1571. idĪ character string that is unique to this step to identify it.ĭata ( Smithsonian, package = "modeldata" ) # How close are the museums to Union Station? near_station % update_role ( name, new_role = "location" ) %>% step_geodist ( lat = latitude, lon = longitude, log = FALSE, ref_lat = 38.8986312, ref_lon = - 77.0062457, is_lat_lon = TRUE ) %>% prep (training = Smithsonian ) bake ( near_station, new_data = NULL ) %>% arrange ( geo_dist ) #> # A tibble: 20 × 4 #> name latitude longitude geo_dist #> #> 1 National Postal Museum 38.9 - 77.0 367. The computations for subsequent operations. processing the outcome variable(s)).Ĭare should be taken when using skip = TRUE as it may affect When prep() is run, some operations may not be able to beĬonducted on new data (e.g. Recipe is baked by bake()? While all operations are baked If a column exists with this name, an error isĪ character string of variable names that willīe populated (eventually) by the terms argument. logĪ logical: should the distance be transformed byĪ single character value to use for the new Default is TRUE and for recipesĬreated from previous versions of recipes, a value of FALSE is used. TRUE the Haversine formula is used and the returned result is meters. ref_lon, ref_latĪ logical: Are coordinates in latitude and longitude? If trainedĪ logical to indicate if the quantities for
The original variables will be used as predictors in a model. They be assigned? By default, the new columns created by this step from
roleįor model terms created by this step, what analysis role should Selector functions to choose which variables are
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