Built-in material allowing the user to test the package with demo data

Demo datasets and data dictionaries, and taxonomy, to provide illustrative examples of objects used by madshapR.

madshapR_DEMO

Format

list

A list with 12 elements (data frames and lists) providing example objects for testing the package:

data_dict_MELBOURNE

Example Data dictionary for Melbourne dataset

data_dict_PARIS

Example Data dictionary for Paris dataset

data_dict_PARIS - collapsed

Example Data dictionary for Paris with collapsed categories

data_dict_TOKYO

Example Data dictionary for Tokyo dataset

data_dict_TOKYO - errors

Data dictionary for Tokyo dataset with errors

data_dict_TOKYO - errors with data

Example Data Dictionary for Tokyo dataset with errors with Tokyo dataset

dataset_MELBOURNE

Example Dataset for MELBOURNE dataset

dataset_PARIS

Example Dataset for PARIS dataset

dataset_TOKYO

Example Dataset for TOKYO dataset

dataset_TOKYO - errors with data

Example dataset of Tokyo with errors with Tokyo data dictionary

taxonomy_PARIS

Example Taxonomy for Paris dataset

dataset_summary

Example of dataset summary

...

Examples

{

 print(madshapR_DEMO$dataset_TOKYO)

}
#> # A tibble: 50 × 9
#>    part_id gndr   height weight_ms weight_dc dob        prg_ever empty opentext 
#>    <chr>   <chr>   <dbl>     <dbl>     <dbl> <chr>         <dbl> <lgl> <chr>    
#>  1 ID001   Male      191        63        NA 3/22/1990        -7 NA    All chil…
#>  2 ID002   Female    176        NA        65 8/15/2001         0 NA    grow up,…
#>  3 ID003   Female    154        NA       121 12/17/1996        2 NA    years ol…
#>  4 ID004   Female    167       -88        NA 6/13/1990         1 NA    flower a…
#>  5 ID005   Female    185        NA        45 12/17/1996        8 NA    rather d…
#>  6 ID006   -77       171        57        NA 3/31/1981        -7 NA    cried, O…
#>  7 ID007   Female    185        NA        58 4/19/1988         9 NA    that pas…
#>  8 ID008   Female    171        NA        59 NA                2 NA    that she…
#>  9 ID009   -77       169        52        NA 3/14/1976        -7 NA    beginnin…
#> 10 ID010   Male      179        NA        62 10/19/1993       -7 NA    All chil…
#> # ℹ 40 more rows