<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Manipulate R Data Frames Using SQL</dc:title>
  <dc:title>R package sqldf version 0.4-12</dc:title>
  <dc:subject>CRAN Task View: Databases (https://CRAN.R-project.org/view=Databases)</dc:subject>
  <dc:subject>CRAN Task View: HighPerformanceComputing (https://CRAN.R-project.org/view=HighPerformanceComputing)</dc:subject>
  <dc:description>The sqldf() function is typically passed a single argument which 
	is an SQL select statement where the table names are ordinary R data 
	frame names.  sqldf() transparently sets up a database, imports the 
	data frames into that database, performs the SQL select or other
	statement and returns the result using a heuristic to determine which 
	class to assign to each column of the returned data frame.  The sqldf() 
	or read.csv.sql() functions can also be used to read filtered files 
	into R even if the original files are larger than R itself can handle.
	'RSQLite', 'RH2', 'RMySQL' and 'RPostgreSQL' backends are supported.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.1.0), gsubfn (&gt;= 0.6), proto, RSQLite</dc:relation>
  <dc:relation>Imports: DBI, chron</dc:relation>
  <dc:relation>Suggests: RH2, RMySQL, RPostgreSQL, svUnit, tcltk, MASS</dc:relation>
  <dc:creator>G. Grothendieck &lt;ggrothendieck@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>G. Grothendieck [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-01-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sqldf</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sqldf</dc:identifier>
</oai_dc:dc>
