quantmod: getSymbols.rda – R documentation

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getSymbols.rda

Load Data from R Binary File

Description

Downloads Symbols to specified env from local R data file. This method is not to be called directly, instead a call to getSymbols(Symbols,src='rda') will in turn call this method. It is documented for the sole purpose of highlighting the arguments accepted, and to serve as a guide to creating additional getSymbols ‘methods’.

Usage

getSymbols.rda(Symbols,
                 env,
                 dir="",
                 return.class = "xts",
                 extension="rda",
                 col.names=c("Open","High","Low","Close","Volume","Adjusted"),
                 ...)

Arguments

`Symbols`	a character vector specifying the names of each symbol to be loaded
`env`	where to create objects. (.GlobalEnv)
`dir`	directory of rda/RData file
`return.class`	class of returned object
`extension`	extension of R data file
`col.names`	data column names
`...`	additional parameters

Details

Meant to be called internally by getSymbols (see also).

One of a few currently defined methods for loading data for use with quantmod. Essentially a simple wrapper to the underlying R load.

Value

A call to getSymbols.csv will load into the specified environment one object for each Symbol specified, with class defined by return.class. Presently this may be ts, zoo, xts, data.frame, or timeSeries.

Author(s)

Jeffrey A. Ryan

Examples

## Not run: 
# All 3 getSymbols calls return the same
# MSFT to the global environment
# The last example is what NOT to do!

## Method #1
getSymbols('MSFT',src='rda')
getSymbols('MSFT',src='RData')


## Method #2
setDefaults(getSymbols,src='rda')
  # OR
setSymbolLookup(MSFT='rda')
  # OR
setSymbolLookup(MSFT=list(src='rda'))

getSymbols('MSFT')

#########################################
##  NOT RECOMMENDED!!!
#########################################
## Method #3
getSymbols.rda('MSFT',verbose=TRUE,env=globalenv())

## End(Not run)

quantmod

Quantitative Financial Modelling Framework

v0.4.18

GPL-3

Authors

Jeffrey A. Ryan [aut, cph], Joshua M. Ulrich [cre, aut], Wouter Thielen [ctb], Paul Teetor [ctb], Steve Bronder [ctb]

Initial release