I have the following code:
library(quantmod)
tckrs <- c(\"TLT\", \"LQD\", \"HYG\", \"SPY\", \"DBC\")
NumTckrs <- length(tckrs)
getSymbols(tckrs, from
Joshua's is probably more elegant than mine:
res <- do.call( merge, lapply( lapply(tckrs, get) , Ad) )
Load all the data into an environment, then call Ad
on each, and merge them. Also note that getSymbols
returns an xts object by default, therefore your MainDF
is an xts object, not a data.frame.
library(quantmod)
# create new environment
myEnv <- new.env()
# pull all data and load into myEnv
getSymbols("TLT;LQD;HYG;SPY;DBC", env=myEnv)
# eapply calls Ad on each symbol in myEnv and returns a list
# do.call calls merge with each element returned from eapply as an argument
MainXTS <- do.call(merge, c(eapply(myEnv, Ad),all=FALSE))
This is one line of code with my qmao package
library(qmao)
p <- makePriceFrame(tckrs, prefer='Adjusted', silent=TRUE)
For convenience, PF
is an alias for makePriceFrame
. Also, since by default, the function will find and use the "Adjusted" column if it exists, you can leave out the prefer
argument.
p <- PF(tckrs)
You can also combine a bunch of these types of functions
library(FinancialInstrument)
p <- PF(getSymbols(stock(tckrs, currency("USD"))))
Also, note that if you hadn't assigned your Symbol names to tckrs
, you'd be able to get them from the PriceFrame.
names(p)
[1] "TLT" "LQD" "HYG" "SPY" "DBC"
If you do not specify a prefer
argument, it looks for a column that contains "Adjusted", then "Close", then "Mid", then Price". To see which column was used to make the PriceFrame, look at the "prefer" attribute
attr(p, "prefer")
[1] "Adjusted"
If you keep data in separate environments, PF
can handle that as well.
getSymbols(tckrs, env=myEnv)
p <- PF(ls(myEnv), env=myEnv)