# lat lon Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 100, ref_lon = 100, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: ! `ref_lat` should be between -90 and 90 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 0, ref_lon = 190, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: ! `ref_lon` should be between -180 and 180 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = -100, ref_lon = 0, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: ! `ref_lat` should be between -90 and 90 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 0, ref_lon = -190, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: ! `ref_lon` should be between -180 and 180 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: Caused by error in `bake()`: ! All `lat` values should be between -90 and 90 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: Caused by error in `bake()`: ! All `lon` values should be between -180 and 180 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: Caused by error in `bake()`: ! All `lat` values should be between -90 and 90 --- Code near_station <- recipe(~., data = postal) %>% step_geodist(lat = latitude, lon = longitude, log = FALSE, ref_lat = 38.8986312, ref_lon = -77.0062457, is_lat_lon = TRUE) %>% prep() Condition Error in `step_geodist()`: Caused by error in `bake()`: ! All `lon` values should be between -180 and 180 # bad args Code rec %>% step_geodist(starts_with("x"), y, ref_lat = 0.5, ref_lon = 0.25) %>% prep(training = rand_data_2) Condition Error in `step_geodist()`: Caused by error in `prep()`: ! `lat` should resolve to a single column name. --- Code rec %>% step_geodist(x, starts_with("y"), ref_lat = 0.5, ref_lon = 0.25) %>% prep(training = rand_data_2) Condition Error in `step_geodist()`: Caused by error in `prep()`: ! `lon` should resolve to a single column name. --- Code rec %>% step_geodist(x, y, ref_lat = letters[1:2], ref_lon = 0.25) %>% prep( training = rand_data_2) Condition Error in `step_geodist()`: ! `ref_lat` should be a single numeric value. --- Code rec %>% step_geodist(x, y, ref_lon = letters[1:2], ref_lat = 0.25) %>% prep( training = rand_data_2) Condition Error in `step_geodist()`: ! `ref_lon` should be a single numeric value. --- Code rec %>% step_geodist(x, y, ref_lon = 0.5, ref_lat = 0.25, name = 1) %>% prep( training = rand_data_2) Condition Error in `step_geodist()`: ! `name` should be a single character value. --- Code rec %>% step_geodist(x, y, ref_lon = 0.5, ref_lat = 0.25, log = exp(1)) %>% prep(training = rand_data_2) Condition Error in `step_geodist()`: ! `log` should be a single logical value. --- Code recipe(~ x + y, data = rand_data) %>% step_geodist(x, y, ref_lat = 0.5, ref_lon = 0.25, is_lat_lon = "no", log = FALSE) %>% prep(training = rand_data) Condition Error in `step_geodist()`: ! `is_lat_lon` should be a single logical value. --- Code recipe(~ x + y, data = rand_data) %>% step_geodist(x, y, ref_lat = 0.5, ref_lon = 0.25, is_lat_lon = c(TRUE, TRUE), log = FALSE) %>% prep(training = rand_data) Condition Error in `step_geodist()`: ! `is_lat_lon` should be a single logical value. # printing Code print(rec) Output Recipe Inputs: role #variables predictor 2 Operations: Geographical distances from 0.5 x 0.25 using x, y --- Code prep(rec) Output Recipe Inputs: role #variables predictor 2 Training data contained 10 data points and 1 incomplete row. Operations: Geographical distances from 0.5 x 0.25 using x, y [trained]
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