Functions for Extracting and Merging Data in the 'teal' Framework
Add empty choice to choices selected
Checks whether the provided slices have the corresponding join keys
Checks varname argument and convert to call
Choices condition call
logical variable condition call
Date range condition call
POSIXct range condition call
numeric range condition call
Get call to subset and select array
Compose extract call with $ operator
Get call to subset and select matrix
Check if a call or list of calls uses the pipe operator (%>%)
Create a call using a function in a given namespace
Combine calls by operator
Function to check data_extract_specs
Check data extract specification
Validate data_extracts in merge_datasets
Check if the merge function is valid
Checks that the extract_input specification does not allow multiple ...
Check selector dataname element
Check selector filters element
Check selector internal_id element
Check selector keys element
Check selector reshape element
Check selector select element
Check selector
Set "<choice>:<label>" type of names
Choices selected
Function to compose validators from data_extract_multiple_srv
Creates a panel that displays (with filter and column selection) condi...
Ensures datasets is a list of reactive expression
Handles events emitted from the UI generated by `data_extract_filter_u...
Returns a shiny.tag object with the UI for a filter_spec object
Creates a named list of data_extract_srv output
Returns a reactive list with values read from the inputs of `data_extr...
Returns a shiny.tag.list object with the UI for a select_spec obje...
The server function for a single data_extract_spec object
Returns a shiny.tag with the UI elements for a data_extract_spec
Data extract input for teal modules
Extraction of the selector(s) details
teal data extraction module user-interface
Help text with available datasets input
Bare constructor for delayed_choices object
Extract labels from choices basing on attributes and names
Data extract dynamic filter specification
Data extract filter specification
Formatting data extracts
Gets the relabel call
Returns non-key column names from data
Aggregates data extract selectors
Parses filter, select, rename and reshape call
Names of filtered-out filters dropped from selection
Gets names of the datasets from a list of data_extract_spec objects
Build a dplyr filter call
Returns the initial values for the vals widget of a filter_spec ob...
Get merge call from a list of selectors
Gets merge key pair list from keys list
Gets keys needed for join call of two selectors
Gets keys vector from keys list
Get pivot longer columns
Create relabel call from named character
Get columns to relabel
Returns dplyr rename call
Returns dplyr reshape call
Get unite columns
Get unite columns values
Parse dplyr select call
Generate id for dataset
Verify uniform dataset source across data extract specification
Make sure that the extract specification is in list format
Merge the datasets on the keys
Merge expression module
Data merge module server
Merge selectors when dataname, reshape, filters and keys entri...
Check select choices for no choice made
Parses merge keys
R6 Class - A First-In-First-Out Abstract Data Type
Objects exported from other packages
Resolve expression after delayed data are loaded
Resolve delayed inputs by evaluating the code within the provided data...
Resolve delayed inputs by evaluating the code within the provided data...
Column selection input specification
Split by separator (matched exactly)
teal.transform: Functions for extracting and merging data in the `te...
Validates whether the provided keys are sufficient to merge the datase...
Value labeling and filtering based on variable relationship
Variable label extraction and custom selection from data
A standardized user interface for column selection, that facilitates dataset merging in 'teal' framework.
Useful links