# 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]
Generated by dwww version 1.15 on Wed Jun 26 03:20:11 CEST 2024.