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List Available Steps

Source: R/registry.R
measure_steps.Rd

Returns a tibble of all registered recipe steps from measure and any loaded technique packs. Results can be filtered by pack, category, or technique.

Usage

measure_steps(packs = NULL, categories = NULL, techniques = NULL)

Arguments

packs

Character vector of pack names to include. If NULL, includes all packs.

categories

Character vector of step categories to include. If NULL, includes all categories.

techniques

Character vector of techniques to include. If NULL, includes all techniques.

Value

A tibble with columns:

  • step_name: Function name (e.g., "step_measure_baseline_als")

  • pack_name: Source package name

  • category: Step category (e.g., "baseline", "smoothing")

  • description: Brief description

  • technique: Technique (e.g., "general", "SEC/GPC")

See also

measure_packs(), register_measure_step()

Examples

# List all steps
measure_steps()
#> # A tibble: 96 × 5
#>    step_name                    pack_name category  description        technique
#>    <chr>                        <chr>     <chr>     <chr>              <chr>    
#>  1 step_measure_input_long      measure   io        Convert long data… general  
#>  2 step_measure_input_wide      measure   io        Convert wide data… general  
#>  3 step_measure_output_long     measure   io        Convert measure t… general  
#>  4 step_measure_output_wide     measure   io        Convert measure t… general  
#>  5 step_measure_savitzky_golay  measure   smoothing Savitzky-Golay sm… general  
#>  6 step_measure_smooth_ma       measure   smoothing Moving average sm… general  
#>  7 step_measure_smooth_median   measure   smoothing Median filter smo… general  
#>  8 step_measure_smooth_gaussian measure   smoothing Gaussian smoothing general  
#>  9 step_measure_smooth_wavelet  measure   smoothing Wavelet smoothing  general  
#> 10 step_measure_filter_fourier  measure   smoothing Fourier filtering  general  
#> # ℹ 86 more rows

# List only baseline correction steps
measure_steps(categories = "baseline")
#> # A tibble: 14 × 5
#>    step_name                     pack_name category description        technique
#>    <chr>                         <chr>     <chr>    <chr>              <chr>    
#>  1 step_measure_baseline_als     measure   baseline Asymmetric Least … general  
#>  2 step_measure_baseline_poly    measure   baseline Polynomial baseli… general  
#>  3 step_measure_baseline_rf      measure   baseline Robust fitting ba… general  
#>  4 step_measure_baseline_custom  measure   baseline Custom baseline f… general  
#>  5 step_measure_baseline_py      measure   baseline Python pybaseline… general  
#>  6 step_measure_baseline_rolling measure   baseline Rolling ball base… general  
#>  7 step_measure_baseline_airpls  measure   baseline AirPLS baseline    general  
#>  8 step_measure_baseline_snip    measure   baseline SNIP baseline      general  
#>  9 step_measure_baseline_arpls   measure   baseline arPLS baseline     general  
#> 10 step_measure_baseline_tophat  measure   baseline Top-hat morpholog… general  
#> 11 step_measure_baseline_morph   measure   baseline Morphological bas… general  
#> 12 step_measure_baseline_minima  measure   baseline Local minima base… general  
#> 13 step_measure_baseline_auto    measure   baseline Automatic baselin… general  
#> 14 step_measure_baseline_gpc     measure   baseline GPC/SEC baseline … general  

# List steps from a specific technique pack
measure_steps(techniques = "SEC/GPC")
#> # A tibble: 0 × 5
#> # ℹ 5 variables: step_name <chr>, pack_name <chr>, category <chr>,
#> #   description <chr>, technique <chr>