# missing data

    Code
      prep(rec_false, training = ex_dat, verbose = FALSE)
    Condition
      Error in `step_YeoJohnson()`:
      Caused by error in `prep()`:
      ! Missing values are not allowed for the YJ transformation. See `na_rm` option

# empty printing

    Code
      rec
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:    1
      predictor: 10
      
      -- Operations 
      * Yeo-Johnson transformation on: <none>

---

    Code
      rec
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      outcome:    1
      predictor: 10
      
      -- Training information 
      Training data contained 32 data points and no incomplete rows.
      
      -- Operations 
      * Yeo-Johnson transformation on: <none> | Trained

# printing

    Code
      print(rec)
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      predictor: 4
      
      -- Operations 
      * Yeo-Johnson transformation on: x1, x2, x3, x4

---

    Code
      prep(rec)
    Message
      
      -- Recipe ----------------------------------------------------------------------
      
      -- Inputs 
      Number of variables by role
      predictor: 4
      
      -- Training information 
      Training data contained 20 data points and no incomplete rows.
      
      -- Operations 
      * Yeo-Johnson transformation on: x1, x2, x4 | Trained