tests/testthat/_snaps/clean.md

In volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

No values are recoded to missings

Code
  prepared_data
Output
  # A tibble: 4 x 2
     var1  var2
    <dbl> <dbl>
  1     1    -2
  2     2    -3
  3    -1    -3
  4     5    -9

Residual values are recoded to missings

Code
  prepared_data
Output
  # A tibble: 1 x 2
     var1  var2
    <dbl> <dbl>
  1     2    -3

Residual negative values are removed

Code
  data_clean(tibble::tibble(var1 = c(1, 2, -1, -9, -50, -999)))
Output
  # A tibble: 6 x 1
     var1
    <dbl>
  1     1
  2     2
  3    -1
  4    -9
  5   -50
  6  -999

Residual negative values are removed from data in SPSS format

Code
  data_clean(spss_data, remove.na.numbers = c(-999, -555))
Output
  # A tibble: 4 x 1
     var1
    <dbl>
  1     1
  2     2
  3   -50
  4    NA

All negatives are removed

Code
  data_rm_negatives(tibble::tibble(var1 = c(1, 2, -1, -9)), var1)
Output
  # A tibble: 2 x 1
     var1
    <dbl>
  1     1
  2     2

Negatives are kept

Code
  data_clean(tibble::tibble(var1 = c(1, 2, -9)))
Output
  # A tibble: 3 x 1
     var1
    <dbl>
  1     1
  2     2
  3    -9

NA levels are kept

Code
  data_rm_na_levels(tibble::tibble(value1 = factor(c("A", "B", "[no answer]"))))
Output
  # A tibble: 3 x 1
    value1     
    <fct>      
  1 A          
  2 B          
  3 [no answer]

Baseline is extracted

Code
  get_baseline(result)
Output
  [1] "Frequencies based on values: agree, strongly agree. 4 missing case(s) omitted."

Baseline for zeros

Code
  get_baseline(result)
Output
  [1] "3 zero case(s) omitted."

Baseline for negatives

Code
  get_baseline(result)
Output
  [1] "2 negative case(s) omitted."

volker documentation built on April 12, 2025, 9:16 a.m.