Package index • Tplyr

Build High-level functions to create and build a table
`build()`	Trigger the execution of the `tplyr_table`
`tplyr_table()`	Create a Tplyr table object
`pop_data()` `pop_data<-`() `set_pop_data()`	Return or set population data bindings
`pop_treat_var()` `set_pop_treat_var()`	Return or set pop_treat_var binding
Layers and layering Creating layers and adding them to the table
`add_layer()` `add_layers()`	Attach a layer to a `tplyr_table` object
`tplyr_layer()`	Create a `tplyr_layer` object
`group_count()` `group_desc()` `group_shift()`	Create a `count`, `desc`, or `shift` layer for discrete count based summaries, descriptive statistics summaries, or shift count summaries
Formatting Customizing the display as a table
`f_str()`	Create a `f_str` object
`get_desc_layer_formats()` `set_desc_layer_formats()` `get_count_layer_formats()` `set_count_layer_formats()` `get_shift_layer_formats()` `set_shift_layer_formats()`	Get or set the default format strings for descriptive statistics layers
`set_format_strings()`	Set the format strings and associated summaries to be performed in a layer
`set_missing_count()`	Set the display for missing strings
Sorting Sorting and customizing table order
`set_order_count_method()` `set_ordering_cols()` `set_result_order_var()`	Set the ordering logic for the count layer
`set_outer_sort_position()`	Set the value of a outer nested count layer to Inf or -Inf
Adding Groups and Stats Adding treatment groups, total rows, and risk difference
`add_total_row()`	Add a Total row into a count summary.
`add_treat_grps()` `add_total_group()` `treat_grps()`	Combine existing treatment groups for summary
`add_risk_diff()`	Add risk difference to a count layer
`add_missing_subjects_row()`	Add a missing subject row into a count summary.
`set_total_row_label()`	Set the label for the total row
`set_missing_subjects_row_label()`	Set the label for the missing subjects row
Descriptive Statistics Layer Functions Descriptive statistics layer helper functions
`set_custom_summaries()`	Set custom summaries to be performed within a descriptive statistics layer
`set_precision_data()`	Set precision data
`get_precision_by()` `set_precision_by()`	Set or return precision_by layer binding
`get_precision_on()` `set_precision_on()`	Set or return precision_on layer binding
`set_stats_as_columns()`	Set descriptive statistics as columns
Counting functions Count layer helper functions
`set_denoms_by()`	Set variables used in pct denominator calculation
`set_distinct_by()`	Set counts to be distinct by some grouping variable.
`set_denom_where()`	Set Logic for denominator subsetting
`set_nest_count()`	Set the option to nest count layers
`set_outer_sort_position()`	Set the value of a outer nested count layer to Inf or -Inf
`set_missing_count()`	Set the display for missing strings
`keep_levels()`	Select levels to keep in a count layer
`set_denom_ignore()`	Set values the denominator calculation will ignore
`set_indentation()`	Set the option to prefix the row_labels in the inner count_layer
`set_numeric_threshold()`	Set a numeric cutoff
`set_limit_data_by()`	Set variables to limit reported data values only to those that exist rather than fully completing all possible levels
Column Headers Column header helpers
`add_column_headers()`	Attach column headers to a Tplyr output
`header_n()` `header_n<-`() `set_header_n()`	Return or set header_n binding
Metadata Functions Tplyr metadata functions
`tplyr_meta()`	Tplyr Metadata Object
`add_variables()` `add_filters()`	Add variables to a tplyr_meta object
`add_anti_join()`	Add an anti-join onto a tplyr_meta object
`get_metadata()`	Get the metadata dataframe from a tplyr_table
`append_metadata()`	Append the Tplyr table metadata dataframe
`get_meta_result()`	Extract the result metadata of a Tplyr table
`get_meta_subset()`	Extract the subset of data based on result metadata
Templates Layer Templates
`new_layer_template()` `remove_layer_template()` `get_layer_template()` `get_layer_templates()` `use_template()`	Create, view, extract, remove, and use Tplyr layer templates
Post-pocessing Post-pocessing functions
`apply_conditional_format()`	Conditional reformatting of a pre-populated string of numbers
`apply_formats()`	Apply Format Strings outside of a Tplyr table
`apply_row_masks()`	Replace repeating row label variables with blanks in preparation for display.
`collapse_row_labels()`	Collapse row labels into a single column
`replace_leading_whitespace()`	Reformat strings with leading whitespace for HTML
`str_extract_fmt_group()` `str_extract_num()`	Extract format group strings or numbers
`str_indent_wrap()`	Wrap strings to a specific width with hyphenation while preserving indentation
Helper functions General helper functions
`get_numeric_data()`	Retrieve the numeric data from a tplyr objects
`get_stats_data()`	Get statistics data
`get_by()` `set_by()`	Set or return by layer binding
`get_target_var()` `set_target_var()`	Set or return treat_var binding
`treat_var()` `set_treat_var()`	Return or set the treatment variable binding
`get_where()` `set_where()` `set_pop_where()` `get_pop_where()`	Set or return where binding for layer or table
`Tplyr` `Tplyr-package`	A grammar of summary data for clinical reports
`get_tplyr_regex()`	Retrieve one of Tplyr's regular expressions
Data Tplyr Built-in Datasets
`tplyr_adae`	ADAE Data
`tplyr_adas`	ADAS Data
`tplyr_adlb`	ADLB Data
`tplyr_adsl`	ADSL Data
`tplyr_adpe`	ADPE Data
`get_data_labels()`	Get Data Labels

Reference

Build

Layers and layering

Formatting

Sorting

Adding Groups and Stats

Descriptive Statistics Layer Functions

Counting functions

Column Headers

Metadata Functions

Templates

Post-pocessing

Helper functions

Data