summary.cdisc_comparison

Returns a concise one-row data frame summarizing the comparison:
domain, standard, row/col counts, number of differences, and
CDISC error/warning counts.

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

summary.cdisc_comparison function

<dl><dt>object</dt>
<dd>A cdisc_comparison object returned by <code>cdisc_compare()</code>.</dd>
<dt>...</dt>
<dd>Additional arguments (ignored).</dd></dl>

Arguments

Summarize CDISC Comparison Results — summary.cdisc_comparison

<dl>

<dt>object</dt>
<dd>A cdisc_comparison object returned by <code>cdisc_compare()</code>.</dd>


<dt>...</dt>
<dd>Additional arguments (ignored).</dd>

</dl>

summary.cdisc_comparison: Summarize CDISC Comparison Results

Description

Usage

Value

Arguments