similar to: xts.dvs function in fCalendar

Hello: I am trying to use fCalendar for date arithmetic and the RMySQL package for accessing a MySQL database. The fCalendar math operations seem to work fine UNTIL I load the RMySQL package. Here is a demonstration: ean at fibonacci:~/Desktop/amCharts/rsa-metrics$ R R version 2.7.1 (2008-06-23) Copyright (C) 2008 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free

Dear, I'm a master student mathematics at university Gent, who's writing a thesis about vines and copula's. I'm in trouble with the package 'fCalendar' which I need for running 'QRMlib'. The problem is that 'fCalendar' doesn't have a namespace. I need to use R.2.14.1 because I also need the package 'vines' which only works for R.2.14.1. I'm

I am using the following command from the Fcalendar Package : x = timeSequence("1992-12-31","1994-12-31") and then y = as.character(x) is a vector of character strings "[1] 1992-12-31" "1993-01-31" "1993-03-03" "1993-03-31" "1993-05-01" etc This is very close to what I need and thank you very much to whomever wrote

Dear R helper: When I was trying to install the fCalendar package, R report the following error and then my installation failed: * Installing *source* package 'fCalendar' ... ** R ** inst ** preparing package for lazy loading Loading required package: MASS Loading required package: fEcofin Loading required package: fUtilities Loading required package: RUnit RUnit 0.4.17 loaded.

Dear R users, I have problem with the library fCalendar. I am not using the US standard format notations. It seems like it is not possible to have different format than the US standards. Anyone how knows a way to go around this problem? Here is the code I enter: myDate = "12.03.2005" timeDate(myDate, format = "%d.%m.%Y") And I get following error message: Error in if

Hi. I've managed to make a *very* simple wrapper around the xts library for R into OCaml. (Need to be downloaded from CRAN for OCaml users, but I expect other wrapping to be fairly similar...). The good, good, good thing (from my humble point of view) is that all loading is done statically: Loading the R interpreter is done statically. Loading the xts library is done statically... etc...

Hi, Please can you tell me what I am doing wrong. When trying to merge two xts objects, one of which has multiple character vectors for columns...I am just getting NAs. > str(t) POSIXct[1:1], format: "2011-01-04 11:45:37" > y2 = xts(matrix(c(letters[1:10]),5), order.by=as.POSIXct(c(t + 1:5))) > names(y2) = c(1,2) > y2 1 2 2011-01-04 11:45:38

Hi all , I have 12 xts objects of differing timeseries stamp. For example : > str(s1_predict.xts) An ?xts? object from 1990-03-25 20:00:00 to 1990-12-15 09:00:00 containing: Data: num [1:725, 1] 11.23 10.18 9.3 9.74 10.18 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : NULL Indexed by objects of class: [POSIXt,POSIXct] TZ: Original class: 'double' xts

Folks, I have some weekly dataseries that I convert to monthly xts (with yearmon indices), and obtain the two following extracts: > str(sig) An 'xts' object from Apr 1998 to Sep 1998 containing: Data: num [1:6, 1] 0.0083 0.2799 -0.2524 -0.0119 0.18 ... - attr(*, "dimnames")=List of 2 ..$ : NULL ..$ : chr "e1" Indexed by objects of class: [yearmon] TZ:

I would like to add vertical shaded blocks in plot.xts graphs (like recession periods in FRED graphs) The reason I use plot.xts instead of plot.zoo is that I like the fact that the grid is automatically aligned with major ticks in plot.xts. xblocks() and rect() do not seem to work with plot.xts (only with plot.zoo). Are there any alternative methods that work with plot.xts? Thanks. -- View

Hi R programmers, I have stumbled across what seems a very simple problem. My goal is to create a xts time series object which contains vectors as values. In other words, I try to create something like this: 2009-01-01 => c('aa', 'bb', 'dd') ... 2010-02-01 => c('mm') I have figured out parts of separately. Here's what works (new xts time-series with

Hello, I apologize that I am cross posting here after getting no answer from my initial question on stack overflow <http://stackoverflow.com/questions/33492601/r-setoldclass-only-if-needed>. I should certainly have posted it first here.. I am using 3 packages: - xts - quantmod - 'myPackage' quantmod is creating a union class by doing: setOldClass("xts");

I have a data.frame object and I don't really understand how to made an xts class out of it. Consider: > x <- data.frame(datetime, ltp, ltv) > head(x, 2) datetime ltp ltv 1 2009-05-05 07:30:01.604 899 1 2 2009-05-05 07:30:01.963 899 15 > class(x$datetime) [1] "POSIXt" "POSIXct" #This works for only one column and why do I lose the name

Hello there! does any one know how to convert the following type of data > z DATE TIME ISIN PRICE VOL ID_DEAL RANK 1881 2009-09-11 10:30:59 RTS-9.09 117445 10 98200801 1 1882 2009-09-11 10:31:59 RTS-9.09 117450 1 98202144 6 1883 2009-09-11 10:32:59 RTS-9.09 117285 1 98203075 1 1884 2009-09-11 10:33:59 RTS-9.09 117180 3 98203828 1 1885 2009-09-11

Hi, I try to calculate the correlation between macroeconomic data from FRED vs Market Data However, since the timeseries are not in synch, the correlation fails. require(quantmod) USPBS =get(getSymbols("USPBS", src="FRED" )) USPBS = USPBS['1983-1-1::'] monDMANEMP = Cl(to.monthly(USPBS)) > length(monDMANEMP) [1] 312 > head(monDMANEMP) USPBS.Close

Dear R-users I am new to R and struggling not to bother the list with silly questions. I read the documentation on xts and searched for some examples over the internet on how to use plot.xts. The xts object is as follows dataxts : An 'xts' object from 2010-06-27 to 2010-08-05 containing: Data: num [1:56161, 1:14] 74 74.2 74.2 74.1 73.9 ... Indexed by objects of

Dear all, I am using the as.xts function to transfer a data frame to the xts The following is the code and result: a<-read.csv("price.csv") a$Date<-as.POSIXct(a$Date) str(a) 'data.frame': 15637 obs. of 2 variables: $ Date : POSIXct, format: "2010-01-04 09:45:01" "2010-01-04 09:45:02" "2010-01-04 09:45:03" ... $ bid_hsi: int 21850

I don't know if timeboxing is the correct term to use to accomplish what I'm attempting, so allow me to explain. I have a set n of tagged observations in time series t. What I'm interested in is taking i seconds before and after every n. My code is below: # observations.xts is an xts time series and arg is the number of seconds to for the timebox timeboxes <-

I have two data frames, with two columns each, the first being a Date variable. I would like to convert them to xts objects, indexed by the Date column. I would like to use as.Date and not as.POSIXct as the dateformat. The puzzling fact is that it works for the first one but not the other. Here is a screenshot of the error: > str(DF1) 'data.frame': 367 obs. of 2 variables: $

Looking for a little help figuring out what's driving gaps in data after merging two xts objects (msci.m and x2). The merge statement I'm using is ... y <-merge(x2,msci.m, all=FALSE). Here's info on the output , y: head(y) t-bill msci Sep 1985 7.310 316.963 Mar 1986 6.560 463.471 Jun 1986 6.180 498.791 Jul 1987 6.200 778.898 Aug 1987 6.400 833.519 Nov 1987