Package index • aNCA

All functions

PKNCA_impute_method_start_c1(): This function imputes the start concentration using the first concentration after dose

PKNCA_impute_method_start_logslope(): This function imputes the start concentration using the log slope method.

anonymize_pk_data(): This function anonymizes RO numbers and Study IDs of pk data files.

apply_filters(): Apply Filters to a Dataset

apply_labels(): Apply Labels to a dataset

as_factor_preserve_label(): Convert to Factor While Preserving Label

calculate_summary_stats(): Calculate Summary Statistics

check_slope_rule_overlap(): Check overlap between existing and new slope rulesets

create_start_impute(): Create C0 Impute Column

dose_profile_duplicates(): Create duplicates in concentration data with Pre-dose and Last Values for Dosing Cycles

.apply_slope_rules(): Apply Slope Rules to Update Data

.compress_range(): Compresses a numeric vector into the simplest possible character string that, when evaluated, will create the same numeric vector.

.eval_range(): Evaluates range notation. If provided notation is invalid, returns NA.

.extract_exclude_values(): Helper function to extract exclude values

.plotly_empty_plot(): Generate an Empty Plotly Object

export_cdisc(): Export CDISC Data

filter_breaks(): Filter Breaks for X-Axis

filter_slopes(): Filter dataset based on slope selections and exclusions

flexible_violinboxplot(): Flexible Violin/Box Plot

format_pkncaconc_data(): Create PK Concentration Dataset

format_pkncadata_intervals(): Create Dose Intervals Dataset

format_pkncadose_data(): Create PK Dose Dataset

g_pkconc_ind_lin(): Wrapper around aNCA::pkcg01() function. Calls the function with LIN scale argument.

g_pkconc_ind_log(): Wrapper around aNCA::pkcg01() function. Calls the function with LOG scale argument.

general_lineplot(): Generate a General Line Plot for ADNCA Dataset

general_meanplot(): Generate a Mean Concentration Plot for ADNCA Dataset

geometric_mean(): Helper Function: Calculate the Geometric Mean

get_conversion_factor(): Transform Units

get_label(): Get the Label of a Heading

has_label(): Check if a Vector Has a Label

l_pkconc(): Create PK Concentration Listing

lambda_slope_plot(): Generate a Lambda Slope Plot

multiple_matrix_ratios(): Calculate Matrix Ratios This function calculates the ratios for a given data set, based on the shared time points for each matrix concentration sample. The user can input multiple tissues for which ratios should be calculated.

parse_annotation(): Parses annotations in the context of data. Special characters and syntax are substituted by actual data and/or substituted for format that is better parsed via rendering functions (e.g. plotly).

parse_tlg_definitions(): Parses the tlg definitions described in yaml file into a list object. Custom YAML parsing is needed for templating - the user can define templates for a definition. The function detects appropriate keywords and copies information from specified templates.

pivot_wider_pknca_results(): Reshape PKNCA Results

pkcg01(): Generate PK Concentration-Time Profile Plots

run_app(): Run the Shiny app

set_empty_label(): Set an Empty Label if None Exists