s3_methods.md
In resquin: Response Quality Indicators for Survey Research

checking consistency of print, summary and plot methods

Code
  summary(resp_distributions(testdata))
Message

  -- Averages of response quality indicators 
Output
       n_na   prop_na   ii_mean     ii_sd ii_median     mahal 
       1.08      0.36      2.80      1.04      2.80      1.54 
Message

  -- Quantiles of response quality indicators  
Output
  # A tibble: 5 x 7
    quantiles  n_na prop_na ii_mean ii_sd ii_median mahal
    <chr>     <dbl>   <dbl>   <dbl> <dbl>     <dbl> <dbl>
  1 0%            0    0       1     0            1  1.3 
  2 25%           0    0       3     0.58         3  1.46
  3 50%           1    0.33    3.33  1            3  1.49
  4 75%           2    0.67    3.33  1.53         3  1.67
  5 100%          3    1       3.33  2.08         4  1.78

Code
  resp_distributions(testdata)
Output
  # Number of missings due to min_valid_responses equal to 1: 7
  # A data frame:                                             12 x 7
        id  n_na prop_na ii_mean  ii_sd ii_median mahal
     <int> <dbl>   <dbl>   <dbl>  <dbl>     <dbl> <dbl>
   1     1     3   1       NA    NA            NA NA   
   2     2     2   0.667   NA    NA            NA NA   
   3     3     1   0.333   NA    NA            NA NA   
   4     4     1   0.333   NA    NA            NA NA   
   5     5     2   0.667   NA    NA            NA NA   
   6     6     2   0.667   NA    NA            NA NA   
   7     7     2   0.667   NA    NA            NA NA   
   8     8     0   0        3.33  1.53          3  1.67
   9     9     0   0        3.33  2.08          4  1.49
  10    10     0   0        3     1             3  1.46
  11    11     0   0        1     0             1  1.78
  12    12     0   0        3.33  0.577         3  1.30

Code
  print(summary(flag_resp(resp_distributions(testdata), ii_mean > 2)))
Message

  -- Number of respondents flagged (Total N: 12) 
Output
  ii_mean > 2 
            4 
  NULL