similar to: Adjusting OHCL data via quantmod

One thing to watch out for is adjustments: - if the data is not adjusted for dividends and splits then you may be able to just download data since your last download yourself but depending on what you want to do with the data you may get misleading results. For example, if the stock trades at $100 and there is a 2 for 1 split then the next day there will be twice as many shares with each share

Hi All, I have a dataframe, divs, that looks like this: > divs date ticker dividend 263 20010322 ADBE 0.025 264 20010628 ADBE 0.025 265 20010927 ADBE 0.025 4308 20010212 ED 0.550 4309 20010514 ED 0.410 5416 20010330 GE 0.137 5417 20010629 GE 0.137 5418 20010928

Unfortunately it is a bit more complex, and the truth is less complementary to us than what you write. Reiser4's CPU usage has come down a lot, but it still consumes more CPU than V3. It should consume less, and Zam is currently working on making writes more CPU efficient. As soon as I get funding from somewhere and can stop worrying about money, I will do a complete code review, and

First off, a big thank you to the Wine team for you efforts over the years. I haven't booted my Windows partition in over two months and am actually considering reclaiming the partition for something useful. I was playing around with Wine+EverQuest trying to see how fast I could get my EverQuest session to run the last couple of days. I had been through all the fun NVIDIA bits related to

On Tue, 29 Jan 2019 at 22:36, Dirk Eddelbuettel <edd at debian.org> wrote: > > Rolf, > > Briefly as I don't have sufficient time to catch up on all these wordy > emails... > > On 30 January 2019 at 15:18, Rolf Turner wrote: > | On 1/30/19 2:03 PM, Dirk Eddelbuettel wrote: > | > | Now *that* was a revealing suggestion! I did that and got: > | > | >

Hello, I am relatively new to using R. I am using R version 2.8.0. I have a program that downloads stock data from Yahoo! Finance and stores it to a text file on my hard drive. The text file contains the date, opening price, high price, low price, closing price, volume and adjusted price (i.e., adjusted for dividends and splits). I want to read and manipulate the data in R. However, when I

XFS is the best filesystem. David Weinehall wrote: >On Tue, Mar 02, 2004 at 03:33:13PM -0700, Dax Kelson wrote: > > >>On Tue, 2004-03-02 at 09:34, Peter Nelson wrote: >> >> >>>Hans Reiser wrote: >>> >>>I'm confused as to why performing a benchmark out of cache as opposed to >>>on disk would hurt performance? >>>

I'm trying to implement a recursive function using integrate, and I suspect I need a Vectorize somewhere, but I can't suss it out. Any help would be appreciated. I've tried traceback() and various debugging ideas to no avail (most likely due to my inexperience with these tools.) Here's what I have. Nk <- function(m, C) { if (length(m) > 1) { rho <- C[1, -1]

Hello; I am trying following but getting a warning message : Warning in rbind.zoo(...) : column names differ, no matter whatever I do. Also I do not want to specify column names manually, since I am just writing a wrapper function around getSymbols to get chunks of data from various sources - oanda, dividends etc. I tried giving col.names = T/F, header = T/F and skip = 1 but no help. I think

Hi, This is probably trivial to most people out there, but I'm struggling with this. I have a data set which contains the closing prices (properly adjusted for dividends and splits) for several hundred securities and the closing prices for a general stock market index (S&P 500). I have no problem getting it into R with RODBC and manipulating it. There are no missing values. I can

Rolf, Briefly as I don't have sufficient time to catch up on all these wordy emails... On 30 January 2019 at 15:18, Rolf Turner wrote: | On 1/30/19 2:03 PM, Dirk Eddelbuettel wrote: | > | Now *that* was a revealing suggestion! I did that and got: | > | | > | > Desired=Unknown/Install/Remove/Purge/Hold | > | > |

DO YOU WANT TO MAKE EASY MONEY? I found this on a bulletin board and decided to try it. A little while back, I was browsing through newsgroups, just like you are now, and came across an article similar to this that said you could make thousands of dollars WITHIN WEEKS with only an initial investment of $6.00! So I thought, "Yeah right, this must be a scam", but like most of us, I was