works perfectly!
thanks for your help John!
On Thu, May 1, 2014 at 9:13 AM, John Laing john.la...@gmail.com wrote:
Um I've never seen that before. A quick Google yields this:
http://r.789695.n4.nabble.com/weird-error-with-a-lazyload-RData-file-in-a-package-td4662836.html
And indeed,
Okay, I've had it!!!.. Every time I read in a dataset using something like:
returnmatrix = read.csv(SP.csv, header=TRUE, sep=,)
It comes back with returnmatrix as mode list. How can I quickly convert the
dataset to mode numerical? This is pissing me off. I can do it manually by
On Thu, May 1, 2014 at 8:47 AM, Steve Greiner sgrei...@factset.com wrote:
Okay, I've had it!!!.. Every time I read in a dataset using something like:
returnmatrix = read.csv(SP.csv, header=TRUE, sep=,)
It comes back with returnmatrix as mode list. How can I quickly convert
the dataset to
On 1 May 2014 at 09:04, Joshua Ulrich wrote:
| On Thu, May 1, 2014 at 8:47 AM, Steve Greiner sgrei...@factset.com wrote:
| Okay, I've had it!!!.. Every time I read in a dataset using something
like:
| returnmatrix = read.csv(SP.csv, header=TRUE, sep=,)
|
| It comes back with returnmatrix
Take a look at the solution proposed here -
http://stackoverflow.com/questions/9842794/fastest-way-to-import-millions-of-files-in-r
Basically, package 'data.table' provides a function called 'fread' which is
significantly faster than other read options. I am using it for different
tasks and I can
I've been stuck for a while with seemingly simple task. I calculate
returns using data from yahoo:
etf = SPY
startDate = 2008-12-01
endDate = 2014-04-04
prc - get.hist.quote(instrument = etf, startDate, endDate, quote =
AdjClose, provider = yahoo )
tt-as.zoo(prc)
dates-index(tt)
Alec,
Not sure if this is what you want but may have found a workaround.
Post the execution of the head(tab) line, if you run dim(tab) you will find
that the table contains 1344 rows but only one column i.e. AdjClose
As a workaround, I have added the following lines after your tab-r line
Try
write.zoo function. works out of the box.
write.zoo(head(tab))
## Index AdjClose
## 2008-12-02 0.0377656920201943
## 2008-12-03 0.0237206482126213
## 2008-12-04 -0.0234569003540432
## 2008-12-05 0.0303880024180421
## 2008-12-08 0.0343235654549394
## 2008-12-09 -0.0165746208209656
On Fri,