Question

I’d like to convert my csv files into xts objects as efficiently as possible. I seem to be stuck though with having to first applying the read.zoo method to create a zoo objects before being able to convert it to an xts object.

gold <- read.zoo("GOLD.CSV", sep=",", format="%m/%d/%Y", header=TRUE)

Gold <- as.xts (gold, order.by=index(gold), frequency=NULL)

Is this the most efficient way of converting my initial GOLD.CSV file into an R xts object?

Answer 1

If it is a file, you need to read it.

So use read.zoo() as you — but then convert rightaway:

 gold <- as.xts(read.zoo("GOLD.CSV", sep=",", format="%m/%d/%Y", header=TRUE))

Ok?