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

skim_metrics

Code
  data
Output
  # A tibble: 101 x 19
      case use_private use_work cg_adoption_advantage_01 cg_adoption_advantage_02
     <dbl>       <dbl>    <dbl>                    <dbl>                    <dbl>
   1   170           4        4                        3                        4
   2   183           1        1                        4                        3
   3   195           2        4                        5                        5
   4   212           5        5                        4                        4
   5   222           2        3                        3                        2
   6   236           3        1                        3                        2
   7   255           3        1                        3                        1
   8   297           3        4                        4                        3
   9   309           3        3                        3                        4
  10   325           2        1                        4                        1
  # i 91 more rows
  # i 14 more variables: cg_adoption_advantage_03 <dbl>,
  #   cg_adoption_advantage_04 <dbl>, cg_adoption_fearofuse_01 <dbl>,
  #   cg_adoption_fearofuse_02 <dbl>, cg_adoption_fearofuse_03 <dbl>,
  #   cg_adoption_fearofuse_04 <dbl>, cg_adoption_social_01 <dbl>,
  #   cg_adoption_social_02 <dbl>, cg_adoption_social_03 <dbl>,
  #   cg_adoption_social_04 <dbl>, adopter <fct>, sd_age <dbl>, ...

five-point-summary

Code
  list(iqr_age = .iqr(data$sd_age), whisker_lower = .whisker_lower(data$sd_age),
  whisker_upper = .whisker_upper(data$sd_age), outliers = .outliers(data$sd_age))
Output
  $iqr_age
  [1] 25

  $whisker_lower
  [1] 18

  $whisker_upper
  [1] 68

  $outliers
  $outliers[[1]]
  numeric(0)