Illustrates the various 'TSdbi' packages with a vignette using time series
data from several sources. The vignette also illustrates some simple time series
manipulation and plotting using packages 'tframe' and 'tfplot'.
tframe, tframePlus, tfplot, TSdbi (>= 2015.1-1), TSsql (>=
2015.1-1), TSPostgreSQL (>= 2015.1-1), TSMySQL (>= 2015.4-1),
TSSQLite (>= 2015.1-1), TSodbc (>= 2015.1-1), TSsdmx, TSmisc,
TScompare (>= 2015.1-1), zoo, xts, tseries, its, WriteXLS, DBI
(>= 0.3.1), RPostgreSQL, RSQLite, RMySQL, RODBC, RJSDMX

tframe, tframePlus, tfplot, TSdbi (>= 2015.1-1), TSsql (>=
2015.1-1), TSPostgreSQL (>= 2015.1-1), TSMySQL (>= 2015.4-1),
TSSQLite (>= 2015.1-1), TSodbc (>= 2015.1-1), TSsdmx, TSmisc,
TScompare (>= 2015.1-1), zoo, xts, tseries, WriteXLS, DBI (>=
0.3.1), RPostgreSQL, RSQLite, RMySQL, RODBC, RJSDMX

TSdbi provides an common interface to time series databases.

TSdbi provides a common interface to time series databases. The
objective is to define a standard interface so users can retrieve time
series data from various sources with a simple, common, set of
commands, and so programs can be written to be portable with respect
to the data source. The SQL implementations also provide a database
table design, so users needing to set up a time series database
have a reasonably complete way to do this easily. The interface
provides for a variety of options with respect to the representation
of time series in R. There is also a (not yet well tested) mechanism to
handle multilingual data documentation.

TSdbi provides a common interface to time series
databases. The objective is to define a standard interface so
users can retrieve time series data from various sources with a
simple, common, set of commands, and so programs can be written
to be portable with respect to the data source. The SQL
implementations also provide a database table design, so users
needing to set up a time series database have a reasonably
complete way to do this easily. The interface provides for a
variety of options with respect to the representation of time
series in R. There is also a (not yet well tested) mechanism to
handle multilingual data documentation.