sqldf: Manipulate R Data Frames Using SQL (original) (raw)
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.
| Version: | 0.4-11 |
|---|---|
| Depends: | R (≥ 3.1.0), gsubfn (≥ 0.6), proto, RSQLite |
| Imports: | DBI, chron |
| Suggests: | RH2, RMySQL, RPostgreSQL, svUnit, tcltk, MASS |
| Published: | 2017-06-28 |
| DOI: | 10.32614/CRAN.package.sqldf |
| Author: | G. Grothendieck |
| Maintainer: | G. Grothendieck |
| BugReports: | https://github.com/ggrothendieck/sqldf/issues |
| License: | GPL-2 |
| URL: | https://github.com/ggrothendieck/sqldf,https://groups.google.com/group/sqldf |
| NeedsCompilation: | no |
| Materials: | README, , |
| In views: | Databases, HighPerformanceComputing |
| CRAN checks: | sqldf results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | Fgmutils, metevalue, smbinning |
|---|---|
| Reverse imports: | BETS, casper, Clustering, dMrs, elfgen, fdq, FIESTA, FIESTAutils, healthyR, icesDatsuQC, kangar00, KinSwingR, miRNAtap, msig, multimorbidity, mygene, nlive, OnomasticDiversity, puzzle, r3Cseq, RareComb, RcextTools, RiboProfiling, RImmPort, RITAN, Rprofet, RSDA, scorecardModelUtils, STRINGdb, taxotools, tcpl, WeibullFit |
| Reverse suggests: | DOPE, prqlr, R6causal, rcellminer, remotePARTS |
Linking:
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