`step_harmonic()` should create predictors

[juliasilge]

The new step_harmonic() should not have NA here because it creates new columns:

recipes/R/harmonic.R

Line 134 in 33b18bf

role = NA,

Even if I do manually set it to "predictor" something is going wrong with the printing:

library(recipes)
#> Loading required package: dplyr
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
#> 
#> Attaching package: 'recipes'
#> The following object is masked from 'package:stats':
#> 
#>     step
data(sunspot.year)
sunspots <-
  tibble(year = 1700:1988,
         n_sunspot = sunspot.year)

rec <- 
  recipe(n_sunspot ~ year, data = sunspots) %>%
  step_harmonic(year, frequency = 1 / 11, cycle_size = 1, 
                role = "predictor") 

prep(rec)
#> Recipe
#> 
#> Inputs:
#> 
#>       role #variables
#>    outcome          1
#>  predictor          1
#> 
#> Training data contained 289 data points and no missing data.
#> 
#> Operations:
#> 
#> Harmonic numeric variables for
#> Error in if (nchar(txt) == 0) txt <- "<none>": argument is of length zero

^{Created on 2021-09-27 by the reprex package (v2.0.1)}

[juliasilge]

I would think this should default to keep_original_cols = FALSE too, right?

[jkennel]

I can create a pull request for this if you like.

There is an bug in print.step_harmonic.

I can also change the defaults to keep_original_cols = FALSE and role = "predictor".

[juliasilge]

@jkennel That would be fantastic! I believe you have contributed before but if you haven't seen this guidance lately, maybe take a glance.

[juliasilge]

Closed in #844

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