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teal.transform

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install.packages('teal.transform')

Monthly Downloads

532

Version

0.6.0

License

Apache License 2.0

Issues

48

Pull Requests

4

Stars

2

Forks

3

Maintainer

Dawid Kaledkowski

Last Published

December 3rd, 2025

Functions in teal.transform (0.6.0)

call_with_colon

Create a call using a function in a given namespace
calls_combine_by

Combine calls by operator
check_selector_dataname

Check selector dataname element
check_selector_reshape

Check selector reshape element
check_data_extract_spec

Check data extract specification
check_selector_filters

Check selector filters element
data_extract_filter_srv

Handles events emitted from the UI generated by data_extract_filter_ui
data_extract_read_srv

Returns a reactive list with values read from the inputs of data_extract_spec
check_data_extract_spec_react

Function to check data_extract_specs
data_extract_select_ui

Returns a shiny.tag.list object with the UI for a select_spec object
check_selector_internal_id

Check selector internal_id element
check_selector_keys

Check selector keys element
convert_teal_data

Ensures datasets is a list of reactive expression
compose_and_enable_validators

Function to compose validators from data_extract_multiple_srv
get_dataset_prefixed_col_names

Returns non-key column names from data
data_extract_srv

Extraction of the selector(s) details
data_extract_spec

Data extract input for teal modules
data_extract_ui

teal data extraction module user-interface
datanames_input

Help text with available datasets input
check_selector_select

Check selector select element
get_anl_relabel_call

Gets the relabel call
get_extract_datanames

Gets names of the datasets from a list of data_extract_spec objects
format_data_extract

Formatting data extracts
check_no_multiple_selection

Checks that the extract_input specification does not allow multiple selection
check_selector

Check selector
data_extract_single_srv

The server function for a single data_extract_spec object
cond_data_extract_single_ui

Creates a panel that displays (with filter and column selection) conditionally on input[ns("dataset")] == dataname
get_filter_call

Build a dplyr filter call
filter_spec

Data extract filter specification
get_reshape_unite_col

Get unite columns
get_merge_key_pair

Gets keys vector from keys list
data_extract_single_ui

Returns a shiny.tag with the UI elements for a data_extract_spec
get_dplyr_call

Parses filter, select, rename and reshape call
filter_spec_internal

Data extract dynamic filter specification
choices_selected

Choices selected
choices_labeled

Set "<choice>:<label>" type of names
data_extract_multiple_srv

Creates a named list of data_extract_srv output
get_reshape_unite_vals

Get unite columns values
get_merge_key_grid

Gets merge key pair list from keys list
data_extract_filter_ui

Returns a shiny.tag object with the UI for a filter_spec object
delayed_choices

Bare constructor for delayed_choices object
get_pivot_longer_col

Get pivot longer columns
extract_choices_labels

Extract labels from choices basing on attributes and names
get_merge_key_i

Gets keys needed for join call of two selectors
get_rename_call

Returns dplyr rename call
get_relabel_call

Create relabel call from named character
get_dropped_filters

Names of filtered-out filters dropped from selection
get_select_call

Parse dplyr select call
get_relabel_cols

Get columns to relabel
parse_merge_key_i

Parses merge keys
reexports

Objects exported from other packages
get_dplyr_call_data

Aggregates data extract selectors
is_single_dataset

Verify uniform dataset source across data extract specification
get_reshape_call

Returns dplyr reshape call
include_css_files

Include CSS files from /inst/css/ package directory to application header
validate_keys_sufficient

Validates whether the provided keys are sufficient to merge the datasets slices
merge_expression_module

Merge expression module
split_by_sep

Split by separator (matched exactly)
merge_expression_srv

Data merge module server
id_for_dataset

Generate id for dataset
merge_selectors

Merge selectors when dataname, reshape, filters and keys entries are identical
get_initial_filter_values

Returns the initial values for the vals widget of a filter_spec object
get_merge_call

Get merge call from a list of selectors
value_choices

Value labeling and filtering based on variable relationship
teal.transform-package

teal.transform: Functions for extracting and merging data in the teal framework
resolve_delayed_expr

Resolve expression after delayed data are loaded
select_spec

Column selection input specification
list_extract_spec

Make sure that the extract specification is in list format
merge_datasets

Merge the datasets on the keys
resolve

Resolve delayed inputs by evaluating the code within the provided datasets
variable_choices

Variable label extraction and custom selection from data
resolve_delayed

Resolve delayed inputs by evaluating the code within the provided datasets
no_selected_as_NULL

Check select choices for no choice made
call_condition_logical

logical variable condition call
call_condition_range

numeric range condition call
Queue

R6 Class - A First-In-First-Out Abstract Data Type
call_condition_choice

Choices condition call
call_condition_range_date

Date range condition call
call_extract_array

Get call to subset and select array
call_condition_range_posixct

POSIXct range condition call
add_no_selected_choices

Add empty choice to choices selected
check_merge_function

Check if the merge function is valid
check_data_merge_selectors

Validate data_extracts in merge_datasets
call_extract_list

Compose extract call with $ operator
call_check_parse_varname

Checks varname argument and convert to call
are_needed_keys_provided

Checks whether the provided slices have the corresponding join keys
call_extract_matrix

Get call to subset and select matrix