Strongly agree with using the R package Sqldf. I used both RSQLite and Sqldf, both worked extremely well (and I am both a lazy and picky end user). Sqldf had the advantage that it took you all the way to your destination the workhorse R object the data frame (R can define new objects, but the data frame as an in memory table is the default). The SQLITE3 command line interface and the R command line had a nice synergy; SQL was great for getting a subset of rows and columns or building a complex view from multiple tables. Both RSqlite and Sqldf could understand the query/view as a table and all looping in both SQL and R took place behind the scenes in compiled code.
Smart phone users say "there is an app for that". R users would say "there is a package for that" and CRAN is the equivalent of the Apple app store or Google Play. R has packages for graphics, classical statistics, Bayesian statistics and machine learning. R also has packages for spacial statistics (including reading ESRI shapefiles), for graph theory and for building decision trees. There is another whole app store for biological applications "bioconductor". The CRAN website has "views" (pages or blogs) showing how packages solve common problems in a variety of academic disciplines or application areas. Jim Callahan On Feb 19, 2015 11:38 AM, "Gabor Grothendieck" <ggrothendieck at gmail.com> wrote: > On Wed, Feb 18, 2015 at 9:53 AM, Richard Hipp <drh at sqlite.org> wrote: > > On 2/18/15, Jim Callahan <jim.callahan.orlando at gmail.com> wrote: > >> I would mention the open source statistical language R in the "data > >> analysis" section. > > > > I've heard of R but never tried to use it myself. Is an SQLite > > interface built into R, sure enough? Or is that something that has to > > be added in separately? > > > > RSQLite is an add-on package to R; however, for data analysis (as > opposed to specific database manipulation) I would think most R users > would use my sqldf R add-on package (which uses RSQLite by default and > also can use driver packages of certain other databases) rather than > RSQLite directly if they were going to use SQL for that. > > In R a data.frame is like an SQL table but in memory and sqldf lets > you apply SQL statements to them as if they were all one big SQLite > database. A common misconception is it must be slow but in fact its > sufficiently fast that some people use it to get a speed advantage > over plain R. Others use it to learn SQL or to ease the transition to > R and others use it allow them to manipulate R data frames without > knowing much about R provided they know SQL. > > If you have not tried R this takes you through installing R and > running sqldf in about 5 minutes: > https://sqldf.googlecode.com/#For_Those_New_to_R > > The rest of that page gives many other examples. > _______________________________________________ > sqlite-users mailing list > sqlite-users at mailinglists.sqlite.org > http://mailinglists.sqlite.org/cgi-bin/mailman/listinfo/sqlite-users >
