chunk_process

Generic function to process a large dataset in manageable chunks to reduce memory usage.

Provides comprehensive analytics, reporting, and testing capabilities
for systematic review search strategies. The package focuses on validating search
performance, generating standardized 'PRISMA'-compliant reports, and ensuring
reproducibility in evidence synthesis. Features include precision-recall analysis,
cross-database performance comparison, benchmark validation against gold standards,
sensitivity analysis, temporal coverage assessment, automated report generation,
and statistical comparison of search strategies. Supports multiple export formats
including 'CSV', 'Excel', 'RIS', 'BibTeX', and 'EndNote'. Includes tools for duplicate
detection, search strategy optimization, cross-validation frameworks, meta-analysis
of benchmark results, power analysis for study design, and reproducibility package
creation. Optionally connects to 'PubMed' for direct database searching and real-time
strategy comparison using the 'E-utilities' 'API'. Enhanced with bootstrap comparison
methods, 'McNemar' test for strategy evaluation, and comprehensive visualization tools
for performance assessment. Methods based on Manning et al. (2008)
for information retrieval metrics, Moher et al. (2009)
for 'PRISMA' guidelines, and Sampson et al. (2006) for
systematic review search methodology.

Chao Liu Liu

searchAnalyzeR

Advanced Analytics and Testing Framework for Systematic Review
Search Strategies

chunk_process function

<dl><dt>data</dt>
<dd>Large data frame to process</dd>
<dt>chunk_size</dt>
<dd>Number of rows per chunk</dd>
<dt>fn</dt>
<dd>Function to apply to each chunk</dd>
<dt>combine_fn</dt>
<dd>Function to combine results from chunks</dd>
<dt>...</dt>
<dd>Additional arguments passed to fn</dd></dl>

Arguments

Process Large Dataset in Chunks — chunk_process

<dl>

<dt>data</dt>
<dd>Large data frame to process</dd>


<dt>chunk_size</dt>
<dd>Number of rows per chunk</dd>


<dt>fn</dt>
<dd>Function to apply to each chunk</dd>


<dt>combine_fn</dt>
<dd>Function to combine results from chunks</dd>


<dt>...</dt>
<dd>Additional arguments passed to fn</dd>

</dl>

chunk_process: Process Large Dataset in Chunks

Description

Usage

Value

Arguments