# check_missing throws error on all types
Code
tst(a)
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `a`.
---
Code
tst(b)
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `b`.
---
Code
tst(d)
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `d`.
---
Code
tst(e)
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `e`.
# check_missing works on multiple columns simultaneously
Code
tst(a, e)
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `a`, `e`.
---
Code
tst(everything())
Condition
Error in `check_missing()`:
Caused by error in `bake()`:
! The following columns contain missing values: `a`, `b`, `d`, `e`.
# check_missing on a new set
Code
bake(rp, na)
Condition
Error in `bake()`:
! The following columns contain missing values: `a`.
# printing
Code
print(rec)
Output
Recipe
Inputs:
11 variables (no declared roles)
Operations:
Check missing values for all_numeric()
---
Code
prep(rec)
Output
Recipe
Inputs:
11 variables (no declared roles)
Training data contained 32 data points and no missing data.
Operations:
Check missing values for mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gea... [trained]
# empty printing
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Operations:
Check missing values for <none>
---
Code
rec
Output
Recipe
Inputs:
role #variables
outcome 1
predictor 10
Training data contained 32 data points and no missing data.
Operations:
Check missing values for <none> [trained]
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