initialize_comparison_settings

Initializes default settings for dataset comparison including tolerance and other
parameters stored in a package environment.

internal

A general-purpose toolkit for comparing any two data frames
with optional 'CDISC' (Clinical Data Interchange Standards Consortium)
validation for clinical trial data. Core comparison functions work on
arbitrary datasets: variable-level and observation-level comparison, data
type checking, metadata attribute analysis (types, labels, lengths,
formats), missing value handling, key-based row matching, tolerance-based
numeric comparisons, and group-wise comparisons. Optional z-score
outlier detection is available when enabled. When working with clinical
data, the package additionally
validates 'SDTM' (Study Data Tabulation Model) and 'ADaM' (Analysis Data
Model) datasets against CDISC standards (SDTM IG 3.3/3.4, ADaM IG
1.1/1.2/1.3), automatically detecting domains and flagging non-conformant
variables. Generates unified comparison reports in text or HTML format
with interactive dashboards. For CDISC standards, see
<https://www.cdisc.org/standards>.

Siddharth Lokineni

clinCompare

Dataset Comparison with 'CDISC' Validation for Clinical Trial
Data

initialize_comparison_settings function

<dl><dt>tolerance</dt>
<dd>Default tolerance level for numeric comparisons.</dd>
<dt>missing_value_method</dt>
<dd>Default method for handling missing values in data comparison.</dd></dl>

Arguments

Initialize Settings for Data Comparison — initialize_comparison_settings

<dl>

<dt>tolerance</dt>
<dd>Default tolerance level for numeric comparisons.</dd>


<dt>missing_value_method</dt>
<dd>Default method for handling missing values in data comparison.</dd>

</dl>

initialize_comparison_settings: Initialize Settings for Data Comparison

Description

Usage

Value

Arguments