dplyr (version 0.1.1)

lahman: Cache and retrieve an

Description

This creates an interesting database using data from the Lahman baseball data source, provided by Sean Lahman at http://www.seanlahman.com/baseball-archive/statistics/, and made easily available in R through the Lahman package by Michael Friendly, Dennis Murphy and Martin Monkman. See the documentation for that package for documentation of the inidividual tables.

Usage

lahman_sqlite(path = NULL)
lahman_postgres(...)
lahman_mysql(...)
lahman_df()
lahman_dt()
lahman_bigquery(...)
has_lahman(type, ...)
lahman_srcs(..., quiet = NULL)

Arguments

path

location to look for and cache SQLite database. If NULL, the default, will first try storing in the installed package directory, and if that isn't writeable, a temporary directory.

...

Arguments passed to src on first load. For mysql and postgresql, the defaults assume you have a local server with lahman database already created. For bigquery, it assumes you have read/write access to a project called Sys.getenv("BIGQUERY_PROJECT")

For lahman_srcs, character vector of names giving srcs to generate.

quiet

if TRUE, suppress messages about databases failing to connect.

type

src type.

Examples

if (require("RSQLite") && has_lahman("sqlite")) {
  lahman_sqlite()
  batting <- tbl(lahman_sqlite(), "Batting")
  batting
}


# Connect to a local postgres database with lahman database, if available
if (require("RPostgreSQL") && has_lahman("postgres")) {
  lahman_postgres()
  batting <- tbl(lahman_postgres(), "Batting")
}