Hello everybody out there using R,
I'm using R for the analysis of biological data and write the results
down using LaTeX, both on a notebook with linux installed.
I've already tried two options for the import of my data:
1. Import from a SQLite database
2. Import from individual csv files edited
You could look at read.csv.sql in sqldf (http://sqldf.googlecode.com) as well.
On Wed, Jan 13, 2010 at 2:00 PM, Juliet Jacobson wrote:
> Hello everybody out there using R,
>
> I'm using R for the analysis of biological data and write the results
> down using LaTeX, both on a notebook with linux i
Thanks for your answer. I hadn't found this possibility by web search.
Since sqldf also allows the import of tables from csv files, complex
SELECT queries and even joins on tables, I have the impression that
there aren't any reasons for using a SQLite database to organise the
data for R.
But then w
sqldf is layered on top of RSQLite. Its not a separate facility.
On Thu, Jan 14, 2010 at 2:12 AM, Juliet Jacobson wrote:
> Thanks for your answer. I hadn't found this possibility by web search.
> Since sqldf also allows the import of tables from csv files, complex
> SELECT queries and even joins
RSQLite is actually much more than a "driver for data import". It
basically allows any manipulation of SQLite databases, including
reading, writing, or updating and munging data within the database.
Regarding the original question of data import:
I use csv and sqlite files interchangeably to
Thanks for your answer.
I've thought of the possibility of an index when using a SQLite database, but
as you mentioned, I don't really benefit from it in regard of rather small
data sets.
What I am considering as a problem when using csv files is the occurrence of
data redundancy: When I wan't
Just to comment on this bit :
> For one thing, you cannot index a csv file or a data.frame. If you have to
> repeatedly select subsets of your large data set, creating an index on the
> relevant column in the sqlite table is an absolute life saver.
This is one reason the data.table package was
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