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https://github.com/agdamsbo/REDCapCAST.git
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including data and sorting vignette. still work to be done.
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@ -49,5 +49,7 @@ Collate:
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'REDCap_split.r'
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'REDCap_split.r'
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'read_redcap_tables.R'
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'read_redcap_tables.R'
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'redcap_wider.R'
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'redcap_wider.R'
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'redcapcast_data.R'
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'redcapcast_meta.R'
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Language: en-US
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Language: en-US
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VignetteBuilder: knitr
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VignetteBuilder: knitr
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35
R/redcapcast_data.R
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35
R/redcapcast_data.R
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#' Data set for demonstration
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#'
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#' This is a small dataset from a REDCap database for demonstrational purposes.
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#' Contains only synthetic data.
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#'
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#' @format A data frame with 22 variables:
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#' \describe{
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#' \item{record_id}{ID, numeric}
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#' \item{redcap_event_name}{Event name, character}
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#' \item{redcap_repeat_instrument}{Repeat instrument, character}
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#' \item{redcap_repeat_instance}{Repeat instance, numeric}
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#' \item{cpr}{CPR number, character}
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#' \item{inclusion}{Inclusion date, date}
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#' \item{dob}{Date of birth, date}
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#' \item{age}{Age decimal, numeric}
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#' \item{age_integer}{Age integer, numeric}
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#' \item{sex}{Legal sex, character}
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#' \item{cohabitation}{Cohabitation status, character}
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#' \item{hypertension}{Hypertension, character}
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#' \item{diabetes}{diabetes, character}
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#' \item{region}{region, character}
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#' \item{base_complete}{Completed, character}
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#' \item{mrs_assessed}{mRS Assessed, character}
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#' \item{mrs_date}{Assesment date, date}
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#' \item{mrs_score}{Score, numeric}
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#' \item{mrs_complete}{Complete, numeric}
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#' \item{event_date}{Event date, date}
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#' \item{event_type}{Event type, character}
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#' \item{event_complete}{Completed, character}
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#'
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#' }
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#' @usage data(redcapcast_data)
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"redcapcast_data"
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29
R/redcapcast_meta.R
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29
R/redcapcast_meta.R
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#' REDCap matedata from data base
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#'
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#' This metadata dataset from a REDCap database is for demonstrational purposes.
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#'
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#' @format A data frame with 22 variables:
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#' \describe{
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#' \item{field_name}{field_name, character}
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#' \item{form_name}{form_name, character}
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#' \item{section_header}{section_header, character}
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#' \item{field_type}{field_type, character}
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#' \item{field_label}{field_label, character}
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#' \item{select_choices_or_calculations}{select_choices_or_calculations, character}
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#' \item{field_note}{field_note, character}
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#' \item{text_validation_type_or_show_slider_number}{text_validation_type_or_show_slider_number, character}
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#' \item{text_validation_min}{text_validation_min, character}
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#' \item{text_validation_max}{text_validation_max, character}
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#' \item{identifier}{identifier, character}
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#' \item{branching_logic}{branching_logic, character}
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#' \item{required_field}{required_field, character}
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#' \item{custom_alignment}{custom_alignment, character}
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#' \item{question_number}{question_number, character}
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#' \item{matrix_group_name}{matrix_group_name, character}
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#' \item{matrix_ranking}{matrix_ranking, character}
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#' \item{field_annotation}{field_annotation, character}
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#' }
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#' @usage data(redcapcast_meta)
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"redcapcast_meta"
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data-raw/redcapcast_data.R
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data-raw/redcapcast_data.R
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## code to prepare `redcapcast_data` dataset goes here
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redcapcast_data <- REDCapR::redcap_read(redcap_uri = uri,
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token = keyring::key_get("cast_api"),
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raw_or_label = "label"
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)$data
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usethis::use_data(redcapcast_data, overwrite = TRUE)
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data-raw/redcapcast_meta.R
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data-raw/redcapcast_meta.R
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## code to prepare `redcapcast_meta` dataset goes here
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redcapcast_meta <- REDCapR::redcap_metadata_read(redcap_uri = uri,
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token = keyring::key_get("cast_api")
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)$data
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usethis::use_data(redcapcast_meta, overwrite = TRUE)
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BIN
data/redcapcast_data.rda
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BIN
data/redcapcast_data.rda
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BIN
data/redcapcast_meta.rda
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data/redcapcast_meta.rda
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Binary file not shown.
@ -3,5 +3,5 @@ pkgdown: 2.0.7
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pkgdown_sha: ~
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pkgdown_sha: ~
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articles:
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articles:
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Introduction: Introduction.html
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Introduction: Introduction.html
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last_built: 2023-04-13T08:56Z
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last_built: 2023-04-13T10:14Z
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File diff suppressed because one or more lines are too long
@ -39,6 +39,12 @@
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<url>
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<url>
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<loc>/reference/redcap_wider.html</loc>
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<loc>/reference/redcap_wider.html</loc>
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</url>
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</url>
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<url>
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<loc>/reference/redcapcast_data.html</loc>
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</url>
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<url>
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<loc>/reference/redcapcast_meta.html</loc>
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</url>
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<url>
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<url>
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<loc>/reference/sanitize_split.html</loc>
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<loc>/reference/sanitize_split.html</loc>
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</url>
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</url>
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42
man/redcapcast_data.Rd
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man/redcapcast_data.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/redcapcast_data.R
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\docType{data}
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\name{redcapcast_data}
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\alias{redcapcast_data}
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\title{Data set for demonstration}
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\format{
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A data frame with 22 variables:
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\describe{
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\item{record_id}{ID, numeric}
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\item{redcap_event_name}{Event name, character}
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\item{redcap_repeat_instrument}{Repeat instrument, character}
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\item{redcap_repeat_instance}{Repeat instance, numeric}
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\item{cpr}{CPR number, character}
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\item{inclusion}{Inclusion date, date}
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\item{dob}{Date of birth, date}
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\item{age}{Age decimal, numeric}
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\item{age_integer}{Age integer, numeric}
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\item{sex}{Legal sex, character}
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\item{cohabitation}{Cohabitation status, character}
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\item{hypertension}{Hypertension, character}
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\item{diabetes}{diabetes, character}
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\item{region}{region, character}
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\item{base_complete}{Completed, character}
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\item{mrs_assessed}{mRS Assessed, character}
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\item{mrs_date}{Assesment date, date}
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\item{mrs_score}{Score, numeric}
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\item{mrs_complete}{Complete, numeric}
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\item{event_date}{Event date, date}
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\item{event_type}{Event type, character}
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\item{event_complete}{Completed, character}
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}
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}
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\usage{
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data(redcapcast_data)
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}
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\description{
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This is a small dataset from a REDCap database for demonstrational purposes.
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Contains only synthetic data.
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}
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\keyword{datasets}
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36
man/redcapcast_meta.Rd
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36
man/redcapcast_meta.Rd
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/redcapcast_meta.R
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\docType{data}
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\name{redcapcast_meta}
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\alias{redcapcast_meta}
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\title{REDCap matedata from data base}
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\format{
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A data frame with 22 variables:
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\describe{
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\item{field_name}{field_name, character}
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\item{form_name}{form_name, character}
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\item{section_header}{section_header, character}
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\item{field_type}{field_type, character}
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\item{field_label}{field_label, character}
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\item{select_choices_or_calculations}{select_choices_or_calculations, character}
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\item{field_note}{field_note, character}
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\item{text_validation_type_or_show_slider_number}{text_validation_type_or_show_slider_number, character}
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\item{text_validation_min}{text_validation_min, character}
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\item{text_validation_max}{text_validation_max, character}
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\item{identifier}{identifier, character}
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\item{branching_logic}{branching_logic, character}
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\item{required_field}{required_field, character}
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\item{custom_alignment}{custom_alignment, character}
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\item{question_number}{question_number, character}
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\item{matrix_group_name}{matrix_group_name, character}
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\item{matrix_ranking}{matrix_ranking, character}
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\item{field_annotation}{field_annotation, character}
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}
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}
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\usage{
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data(redcapcast_meta)
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}
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\description{
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This metadata dataset from a REDCap database is for demonstrational purposes.
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}
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\keyword{datasets}
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@ -20,57 +20,49 @@ library(REDCapCAST)
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This vignette covers the included functions and basic functionality.
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This vignette covers the included functions and basic functionality.
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A dataset and a meta data file are provided with the package for demonstration of the functions.
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## Splitting the dataset
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## Splitting the dataset
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```{r eval=FALSE}
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keyring::key_set("handbook_api")
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keyring::key_set("cast_api")
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```
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```{r include=FALSE}
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uri <- keyring::key_get("DB_URI")
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```
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```{r}
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```{r}
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dataset <- REDCapR::redcap_read_oneshot(redcap_uri = uri,
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redcapcast_data |> gt::gt()
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token = keyring::key_get("cast_api"))$data
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dataset |> gt::gt()
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```
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```
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```{r}
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```{r}
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metadata <- REDCapR::redcap_metadata_read(redcap_uri = uri,
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redcapcast_meta |> gt::gt()
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token = keyring::key_get("cast_api"))$data
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metadata |> gt::gt()
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```
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```
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```{r}
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```{r}
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list <-
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list <-
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REDCapCAST::REDCap_split(records = dataset,
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REDCapCAST::REDCap_split(records = redcapcast_data,
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metadata = metadata,
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metadata = redcapcast_meta,
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forms = "repeating")
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forms = "repeating")
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str(list)
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str(list)
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```
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```
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```{r}
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```{r}
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list <-
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list <-
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REDCapCAST::REDCap_split(records = dataset,
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REDCapCAST::REDCap_split(records = redcapcast_data,
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metadata = metadata,
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metadata = redcapcast_meta,
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forms = "all")
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forms = "all")
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str(list)
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str(list)
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```
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```
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## Reading data from REDCap
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## Reading data from REDCap
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```{r}
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This function wraps all the above demonstrated function to get the dataset, the metadata, apply the `REDCap_split`function and then a bit of cleaning.
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ds <- read_redcap_tables(uri = uri, token = keyring::key_get("cast_api"))
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str(ds)
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The function works verysimilarly as the `REDCapR::redcap_read()`.
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```{r eval=FALSE}
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# read_redcap_tables(uri = "YOUR URI", token = "YOUR TOKEN")
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# ds <- read_redcap_tables(uri = key_get("DB_URI"), token = key_get("cast_api"))
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```
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```
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## Pivotting to wider format
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## Pivotting to wider format
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```{r}
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```{r}
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redcap_wider(ds) |> gt::gt()
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# redcap_wider(ds)
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```
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```
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