sqldf: Manipulate R Data Frames Using SQL
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 <ggrothendieck at gmail.com> |
| 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, NEWS, INSTALL |
| In views: |
Databases, HighPerformanceComputing |
| CRAN checks: |
sqldf results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
Fgmutils, metevalue, smbinning |
| Reverse imports: |
BETS, casper, Clustering, dMrs, drugprepr, 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 |
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