Example objects to provide an illustrative use case

Example input datasets, input data dictionaries, DataSchema, Data Processing Elements, harmonized output, and summary report.

Rmonize_examples

Format

list

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

original_dataset_study1

Example original dataset from .sav file for "study1"

original_dataset_study2

Example original dataset from .sav file for "study2"

original_dataset_study3

Example original dataset from .csv file for "study3"

original_dataset_study4

Example original dataset from .xlsx file for "study4"

original_dataset_study5

Example original dataset from .xlsx file for "study5"

original_data_dict_study4

Example original data dictionary from .xlsx file, for "study4"

original_data_dict_study5

Example original data dictionary from .xlsx file, for "study5"

input_dataset_study1

Example input dataset ready for processing, for "study1"

input_dataset_study2

Example input dataset ready for processing, for "study2"

input_dataset_study3

Example input dataset ready for processing, for "study3"

input_dataset_study4

Example input dataset ready for processing, for "study4"

input_dataset_study5

Example input dataset ready for processing, for "study5"

DataSchema

Example DataSchema

Data_Processing_Element_no errors

Example Data Processing Elements containing no errors

Data_Processing_Element_with errors

Example Data Processing Elements containing errors

harmonized_dossier

Example harmonized dossier

pooled_harmonized_dataset

Example pooled harmonized dataset

summary_report_harmonized_dossier

Example summary report of harmonized dossier

Examples

{

library(dplyr)
glimpse(Rmonize_examples$`DataSchema`)


}
#> List of 2
#>  $ Variables : tibble [9 × 12] (S3: tbl_df/tbl/data.frame)
#>   ..$ index                     : num [1:9] 1 2 3 4 5 6 7 8 9
#>   ..$ name                      : chr [1:9] "adm_unique_id" "adm_study_id" "sdc_age_m" "sdc_marital_m" ...
#>   ..$ label                     : chr [1:9] "Participant identifier" "Study ID" "Age of mother at first visit" "Marital status of mother at first visit" ...
#>   ..$ valueType                 : chr [1:9] "text" "text" "integer" "integer" ...
#>   ..$ unit                      : chr [1:9] NA NA "years" NA ...
#>   ..$ categorical               : num [1:9] 0 1 0 1 1 1 0 1 0
#>   ..$ target_entity             : chr [1:9] "Mother" "Study" "Mother" "Mother" ...
#>   ..$ target_time_period        : chr [1:9] NA NA "At beginning of pregnancy" "At beginning of pregnancy" ...
#>   ..$ acceptable_source         : chr [1:9] "N/A" "N/A" "Questionnaire or medical charts" "Questionnaire" ...
#>   ..$ acceptable_informant      : chr [1:9] "N/A" "N/A" "Participant or other" "Participant" ...
#>   ..$ acceptable_wording        : chr [1:9] "N/A" "N/A" "No restrictions" "No restrictions" ...
#>   ..$ harmonization_instructions: chr [1:9] NA NA "Use information from mother's first visit during pregnancy." "Use information from mother's first visit during pregnancy." ...
#>  $ Categories: tibble [15 × 4] (S3: tbl_df/tbl/data.frame)
#>   ..$ variable: chr [1:15] "adm_study_id" "adm_study_id" "adm_study_id" "adm_study_id" ...
#>   ..$ name    : num [1:15] 1 2 3 4 5 0 1 2 3 0 ...
#>   ..$ label   : chr [1:15] "Study 1" "Study 2" "Study 3" "Study 4" ...
#>   ..$ missing : logi [1:15] FALSE FALSE FALSE FALSE FALSE FALSE ...