# bad values
Code
sacr_rec %>% step_profile(everything(), profile = vars(sqft)) %>% prep(data = Sacramento)
Condition
Error in `step_profile()`:
Caused by error in `prep()`:
! The profiled variable cannot be in the list of variables to be fixed.
---
Code
sacr_rec %>% step_profile(everything(), profile = age) %>% prep(data = Sacramento)
Condition
Error in `structure()`:
! object 'age' not found
---
Code
sacr_rec %>% step_profile(sqft, beds, price, profile = vars(zip, beds)) %>%
prep(data = Sacramento)
Condition
Error in `step_profile()`:
Caused by error in `prep()`:
! Only one variable should be profiled
---
Code
sacr_rec %>% step_profile(city, profile = vars(sqft), pct = -1) %>% prep(data = Sacramento)
Condition
Error in `step_profile()`:
! `pct should be on [0, 1]`
---
Code
sacr_rec %>% step_profile(city, profile = vars(sqft), grid = 1:3) %>% prep(
data = Sacramento)
Condition
Error in `step_profile()`:
! `grid` should have two named elements. See ?step_profile
---
Code
sacr_rec %>% step_profile(city, profile = vars(sqft), grid = list(pctl = 1,
len = 2)) %>% prep(data = Sacramento)
Condition
Error in `step_profile()`:
! `grid$pctl should be logical.`
---
Code
fixed(rep(c(TRUE, FALSE), each = 5))
Condition
Error in `error_cnd()`:
! Conditions must have named data fields
# printing
Code
print(num_rec_1)
Output
Recipe
Inputs:
role #variables
predictor 10
Operations:
Profiling data set for sqft
---
Code
print(num_rec_2)
Output
Recipe
Inputs:
role #variables
predictor 10
Training data contained 20 data points and no missing data.
Operations:
Profiling data set for sqft [trained]
# empty printing
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Operations:
Profiling data set for mpg
---
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Training data contained 32 data points and no missing data.
Operations:
Profiling data set for mpg [trained]
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