compare_observations_by_id

Internal function to match rows between two datasets using specified key
variables, then compare values on matched rows. Also identifies unmatched
rows in either dataset.

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

compare_observations_by_id function

<dl><dt>df1</dt>
<dd>First data frame (base).</dd>
<dt>df2</dt>
<dd>Second data frame (compare).</dd>
<dt>id_vars</dt>
<dd>Character vector of ID column names.</dd>
<dt>common_cols</dt>
<dd>Character vector of common column names.</dd>
<dt>tolerance</dt>
<dd>Numeric tolerance value for floating-point comparisons (default 0).
When tolerance &gt; 0, numeric values are considered equal if their absolute
difference is within the tolerance threshold. Character and factor columns
always use exact matching regardless of tolerance.</dd></dl>

Arguments

Compare Observations by ID Variables — compare_observations_by_id

<dl>

<dt>df1</dt>
<dd>First data frame (base).</dd>


<dt>df2</dt>
<dd>Second data frame (compare).</dd>


<dt>id_vars</dt>
<dd>Character vector of ID column names.</dd>


<dt>common_cols</dt>
<dd>Character vector of common column names.</dd>


<dt>tolerance</dt>
<dd>Numeric tolerance value for floating-point comparisons (default 0).
When tolerance &gt; 0, numeric values are considered equal if their absolute
difference is within the tolerance threshold. Character and factor columns
always use exact matching regardless of tolerance.</dd>

</dl>

compare_observations_by_id: Compare Observations by ID Variables

Description

Usage

Value

Arguments