cross_tab_to_obsv_tab

<code>cross_tab_to_obsv_tab()</code> expands a contingency table or matrix of counts
into a long-format data frame where each row represents one observation. The
output contains one column per dimension of the input, with repeated rows
according to the frequency counts.

Create high-performance clinical reporting tables (TLGs) from
ADaM-like inputs. The package provides a consistent, programmatic API
to generate common tables such as demographics, adverse event incidence,
and laboratory summaries, using 'data.table' for fast aggregation over
large populations. Functions support flexible target-variable selection,
stratification by treatment, and customizable summary statistics, and
return tidy, machine-readable results ready to render with downstream
table/formatting packages in analysis pipelines.

Ramiro Magno

dtlg

A Performance-Focused Package for Clinical Trial Tables

Max Ebenezer-Brown

Max Norman

Xinye Li

Anja Peebles-Brown

cross_tab_to_obsv_tab function

<dl><dt>cross_tab</dt>
<dd>A two-way or multi-way contingency table (<code>matrix</code> or
<code>table</code>) with named <code>dimnames</code>. Each combination of factor levels is
assumed to represent a count of occurrences.</dd>
<dt>strings_as_factors</dt>
<dd>Should character columns in the output
be converted to factors?</dd></dl>

Arguments

Convert a contingency table to a long-format observation-level data frame — cross_tab_to_obsv_tab

<dl>

<dt>cross_tab</dt>
<dd>A two-way or multi-way contingency table (<code>matrix</code> or
<code>table</code>) with named <code>dimnames</code>. Each combination of factor levels is
assumed to represent a count of occurrences.</dd>


<dt>strings_as_factors</dt>
<dd>Should character columns in the output
be converted to factors?</dd>

</dl>

cross_tab_to_obsv_tab: Convert a contingency table to a long-format observation-level data frame

Description

Usage

Value

Arguments

Examples