{ "_id": "6a1fe245b401979e7343a374", "Package": "REDCapCAST", "Title": "REDCap Metadata Casting and Castellated Data Handling", "Version": "26.1.1", "Authors@R": "c(\nperson(\"Andreas Gammelgaard\", \"Damsbo\", email = \"andreas@gdamsbo.dk\",\nrole = c(\"aut\", \"cre\"),comment = c(ORCID = \"0000-0002-7559-1154\")),\nperson(\"Paul\", \"Egeler\", email = \"paulegeler@gmail.com\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-6948-9498\")))", "Description": "Casting metadata for REDCap database creation and handling\nof castellated data using repeated instruments and longitudinal\nprojects in 'REDCap'. Keeps a focused data export approach, by\nallowing to only export required data from the database. Also\nfor casting new REDCap databases based on datasets from other\nsources. Originally forked from the R part of 'REDCapRITS' by\nPaul Egeler. See .\n'REDCap' (Research Electronic Data Capture) is a secure,\nweb-based software platform designed to support data capture\nfor research studies, providing 1) an intuitive interface for\nvalidated data capture; 2) audit trails for tracking data\nmanipulation and export procedures; 3) automated export\nprocedures for seamless data downloads to common statistical\npackages; and 4) procedures for data integration and\ninteroperability with external sources (Harris et al (2009)\n; Harris et al (2019)\n).", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "URL": "https://github.com/agdamsbo/REDCapCAST,\nhttps://agdamsbo.github.io/REDCapCAST/", "BugReports": "https://github.com/agdamsbo/REDCapCAST/issues", "Language": "en-US", "VignetteBuilder": "knitr", "Collate": "'REDCapCAST-package.R' 'utils.r' 'process_user_input.r'\n'REDCap_split.r' 'as_factor.R' 'as_logical.R' 'doc2dd.R'\n'ds2dd_detailed.R' 'easy_redcap.R' 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"vec2choice" ], "_datasets": [ { "name": "mtcars_redcap", "title": "mtcars dataset slightly modified to use for Shiny app upload demonstration", "object": "mtcars_redcap", "class": [ "data.frame" ], "fields": [ "record_id", "mpg", "cyl", "disp", "hp", "drat", "wt", "qsec", "vs", "am", "gear", "carb", "name" ], "rows": 32, "table": true, "tojson": true }, { "name": "redcapcast_data", "title": "Data set for demonstration", "object": "redcapcast_data", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "record_id", "redcap_event_name", "redcap_repeat_instrument", "redcap_repeat_instance", "cpr", "inclusion", "inclusion_time", "dob", "age", "age_integer", "sex", "cohabitation", "hypertension", "diabetes", "region", "baseline_data_start_complete", "mrs_assessed", "mrs_date", "mrs_score", "mrs_complete", "con_mrs", "con_calc", "consensus_complete", "event_datetime", "event_age", "event_type", "new_event_complete" ], "rows": 25, "table": true, "tojson": true }, { "name": "redcapcast_meta", "title": "REDCap metadata from data base", "object": "redcapcast_meta", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "field_name", "form_name", "section_header", "field_type", "field_label", "select_choices_or_calculations", "field_note", "text_validation_type_or_show_slider_number", "text_validation_min", "text_validation_max", "identifier", "branching_logic", "required_field", "custom_alignment", "question_number", "matrix_group_name", "matrix_ranking", "field_annotation" ], "rows": 21, "table": true, "tojson": true } ], "_help": [ { "page": "all_na", "title": "Check if vector is all NA", "topics": [ "all_na" ] }, { "page": "apply_factor_labels", "title": "Preserve all factor levels from REDCap data dictionary in data export", "topics": [ "apply_factor_labels" ] }, { "page": "apply_field_label", "title": "Apply REDCap filed labels to data frame", "topics": [ "apply_field_label" ] }, { "page": "as_factor", "title": "Convert labelled vectors to factors while preserving attributes", "topics": [ "as_factor", "as_factor.character", "as_factor.data.frame", "as_factor.factor", "as_factor.haven_labelled", "as_factor.labelled", "as_factor.logical", "as_factor.numeric" ] }, { "page": "as_logical", "title": "Interpret specific binary values as logicals", "topics": [ "as_logical", "as_logical.data.frame", "as_logical.default" ] }, { "page": "case_match_regex_list", "title": "List-base regex case_when", "topics": [ "case_match_regex_list" ] }, { "page": "cast_data_overview", "title": "Overview of REDCapCAST data for shiny", "topics": [ "cast_data_overview" ] }, { "page": "cast_meta_overview", "title": "Overview of REDCapCAST meta data for shiny", "topics": [ "cast_meta_overview" ] }, { "page": "char2choice", "title": "Simple function to generate REDCap choices from character vector", "topics": [ "char2choice" ] }, { "page": "char2cond", "title": "Simple function to generate REDCap branching logic from character vector", "topics": [ "char2cond" ] }, { "page": "clean_field_label", "title": "Very simple function to remove rich text formatting from field label and save the first paragraph ('

...

').", "topics": [ "clean_field_label" ] }, { "page": "clean_redcap_name", "title": "clean_redcap_name", "topics": [ "clean_redcap_name" ] }, { "page": "compact_vec", "title": "Compacting a vector of any length with or without names", "topics": [ "compact_vec" ] }, { "page": "create_html_table", "title": "Create two-column HTML table for data piping in REDCap instruments", "topics": [ "create_html_table" ] }, { "page": "create_instrument_meta", "title": "DEPRECATED Create zips file with necessary content based on data set", "topics": [ "create_instrument_meta" ] }, { "page": "cut_string_length", "title": "Cut string to desired length", "topics": [ "cut_string_length" ] }, { "page": "d2w", "title": "Convert single digits to words", "topics": [ "d2w" ] }, { "page": "doc2dd", "title": "Doc table to data dictionary - EARLY, DOCS MISSING", "topics": [ "doc2dd" ] }, { "page": "ds2dd", "title": "(DEPRECATED) Data set to data dictionary function", "topics": [ "ds2dd" ] }, { "page": "ds2dd_detailed", "title": "Extract data from stata file for data dictionary", "topics": [ "ds2dd_detailed" ] }, { "page": "easy_redcap", "title": "Secure API key storage and data acquisition in one", "topics": [ "easy_redcap" ] }, { "page": "export_redcap_instrument", "title": "Creates zip-file with necessary content to manually add instrument to database", "topics": [ "export_redcap_instrument" ] }, { "page": "fct_drop", "title": "Drop unused levels preserving label data", "topics": [ "fct_drop", "fct_drop.data.frame", "fct_drop.factor" ] }, { "page": "fct2num", "title": "Allows conversion of factor to numeric values preserving original levels", "topics": [ "fct2num" ] }, { "page": "file_extension", "title": "DEPRECATED Helper to import files correctly", "topics": [ "file_extension" ] }, { "page": "focused_metadata", "title": "focused_metadata", "topics": [ "focused_metadata" ] }, { "page": "format_redcap_factor", "title": "Converts REDCap choices to factor levels and stores in labels attribute", "topics": [ "format_redcap_factor" ] }, { "page": "format_subheader", "title": "Sub-header formatting wrapper", "topics": [ "format_subheader" ] }, { "page": "get_api_key", "title": "Retrieve project API key if stored, if not, set and retrieve", "topics": [ "get_api_key" ] }, { "page": "get_attr", "title": "Extract attribute. Returns NA if none", "topics": [ "get_attr" ] }, { "page": "get_id_name", "title": "Get the id name", "topics": [ "get_id_name" ] }, { "page": "guess_time_only", "title": "Guess time variables based on naming pattern", "topics": [ "guess_time_only" ] }, { "page": "guess_time_only_filter", "title": "Try at determining which are true time only variables", "topics": [ "guess_time_only_filter" ] }, { "page": "haven_all_levels", "title": "Finish incomplete haven attributes substituting missings with values", "topics": [ "haven_all_levels" ] }, { "page": "hms2character", "title": "Change \"hms\" to \"character\" for REDCap upload.", "topics": [ "hms2character" ] }, { "page": "html_tag_wrap", "title": "Simple html tag wrapping for REDCap text formatting", "topics": [ "html_tag_wrap" ] }, { "page": "is_missing", "title": "Multi missing check", "topics": [ "is_missing" ] }, { "page": "is_repeated_longitudinal", "title": "Test if repeatable or longitudinal", "topics": [ "is_repeated_longitudinal" ] }, { "page": "is.labelled", "title": "Tests for multiple label classes", "topics": [ "is.labelled" ] }, { "page": "mark_complete", "title": "Completion marking based on completed upload", "topics": [ "mark_complete" ] }, { "page": "match_fields_to_form", "title": "Match fields to forms", "topics": [ "match_fields_to_form" ] }, { "page": "mtcars_redcap", "title": "mtcars dataset slightly modified to use for Shiny app upload demonstration", "topics": [ "mtcars_redcap" ] }, { "page": "named_levels", "title": "Get named vector of factor levels and values", "topics": [ "named_levels" ] }, { "page": "nav_bar_page", "title": "Nav_bar defining function for shiny ui", "topics": [ "nav_bar_page" ] }, { "page": "numchar2fct", "title": "Applying var2fct across data set", "topics": [ "numchar2fct" ] }, { "page": "parse_data", "title": "Helper to auto-parse un-formatted data with haven and readr", "topics": [ "parse_data" ] }, { "page": "possibly_numeric", "title": "Tests if vector can be interpreted as numeric without introducing NAs by coercion", "topics": [ "possibly_numeric" ] }, { "page": "possibly_roman", "title": "Test if vector can be interpreted as roman numerals", "topics": [ "possibly_roman" ] }, { "page": "process_user_input", "title": "User input processing", "topics": [ "process_user_input" ] }, { "page": "process_user_input.character", "title": "User input processing character", "topics": [ "process_user_input.character" ] }, { "page": "process_user_input.data.frame", "title": "User input processing data.frame", "topics": [ "process_user_input.data.frame" ] }, { "page": "process_user_input.default", "title": "User input processing default", "topics": [ "process_user_input.default" ] }, { "page": "process_user_input.response", "title": "User input processing response", "topics": [ "process_user_input.response" ] }, { "page": "read_input", "title": "Flexible file import based on extension", "topics": [ "read_input" ] }, { "page": "read_redcap_instrument", "title": "Convenience function to download complete instrument, using token storage in keyring.", "topics": [ "read_redcap_instrument" ] }, { "page": "read_redcap_tables", "title": "Download REDCap data", "topics": [ "read_redcap_tables" ] }, { "page": "REDCap_split", "title": "Split REDCap repeating instruments table into multiple tables", "topics": [ "REDCap_split" ] }, { "page": "redcap_wider", "title": "Transforms list of REDCap data.frames to a single wide data.frame", "topics": [ "redcap_wider" ] }, { "page": "redcapcast_data", "title": "Data set for demonstration", "topics": [ "redcapcast_data" ] }, { "page": "redcapcast_meta", "title": "REDCap metadata from data base", "topics": [ "redcapcast_meta" ] }, { "page": "replace_curly_quote", "title": "Replace curly apostrophes and quotes from word", "topics": [ "replace_curly_quote" ] }, { "page": "sanitize_split", "title": "Sanitize list of data frames", "topics": [ "sanitize_split" ] }, { "page": "set_attr", "title": "Set attributes for named attribute. 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