similar to: do.call and timeSeries

If I have an R script that I am executing from a command line in linux, do you know how I can return the value of the variable in my R script to the linux environment without writing it to a file in my R script and then reading the file through cat? For example, if I had a simple one line R script that just did string <- 'TEST', when I call /usr/local/bin/R

Do you know to pass named command line arguments into an R script? I have used littler and argv to pass a vector of arguments, but this requires you to maintain the order of the arguments. I'm wondering if there is a way to do this when you do not know the order of the arguments being passed in. Thanks, Andrew Bierbryer [[alternative HTML version deleted]]

Hi all. I'm suddenly having problems with the following: > FUT10Y<-read.table("C:\\FUT10YR.csv",header=TRUE,sep=",") > head(FUT10Y) Date PX_OPEN PX_HIGH PX_LOW PX_LAST 1 1/5/1999 119.0000 119.1875 118.5312 118.6250 2 1/6/1999 118.5938 118.8750 118.2812 118.8438 3 1/7/1999 118.9062 119.0312 118.3750 118.5000 4 1/8/1999 118.4688 118.5625 117.5312

Question on timeSeries and S4 classes: Consider the following: library(timeSeries) data <- rnorm(5) treg <- ts(data, frequency=4) t1 <- timeSeries(data, as.Date('2010-04-15') + 1:5) t2 <- as.timeSeries(treg) Now both t1 and t2 are timeSeries objects, yet t2 at ts is a valid slot, while t1 at ts is not. Thus the ts slot is optional. Sorry if I am misunderstanding the way S4

Dear R Users and maintainers of packages zoo and timeSeries, I believe there is a recently introduced inconsistency between timeSeries and zoo which is causing a problem with rbind. I had previously reported that I was having problems with rbind in the following code: library(zoo) foo<-zoo(1,order.by=as.Date("2007-10-09")) bar<-zoo(2,order.by=as.Date("2007-10-10"))

I have a timeseries object, ts, and want to get the first date in the series into a string so I can concatenate it with a SQL query. Input and output are shown below. I must be missing something very basic, but I can't seem to pry the data ("2008-07-01") into a string variable. Any suggestions would be appreciated. Thank you, Andrew =====script: class(ts) (ts[1,0]) #returns

When I try to convert the zoo object to a timeSeries object, which would allow me to utilize Rmetrics packages, I get an error message. > Data<-read.zoo("c:\\DOWUBSPRICING.txt,na.strings="NA",sep="\t",header=T) > is(Data) "zoo" > as.timeSeries.zoo(Data) Error in .local (.Object, . ) Is this happening because I am using daily data?

Greetings -- I've got some sensor data of the form t1_1, t1_2 t2_1, t2_2 ... tN_1,tN_2 -- time intervals measuring starts and stops of sensor activity. I'd like to see whether there's any regularity in it. Seems natural to consider these data timeseries -- except most of the timeseries packages and models assume regular ones, with a fixed frequency. I wonder what's a

Dear R-Users, my dataset contains timeseries that are structured into task-specific epochs as labelled by a factor and a boolean variable for labelling each data-point within the series as artefact or non-artefact. Now there's no problem in addressing continuous task-specific time-series that are free from artefacts as long as artefacts extend to either boundary of adjacent timeseries but

Hi R users: When I try to merge or bind (cbind or rbind) two series, both with a "FinCenter" different that GMT, the result is "GMT" not the original financial center? What am I doing wrong? ###################################################### require(timeSeries) getRmetricsOptions("myFinCenter") setRmetricsOptions(myFinCenter = "America/Bogota")

I have defined a daily timeseries for the 365 days of 2003 issuing: myts = ts(dati[,2:10],frequency=365,) > myts Time Series: Start = c(1, 1) End = c(1, 365) Frequency = 365 and mytime = as.POSIXct(strptime(as.character(dati[,1]),format="%Y-%m-%d")) contains the dates from "2003-01-01" to "2003-12-31" How can I combine mytime and myts in order to list

Hi, I'm new to R and tried a search but couldn't find what I was looking for. I have some data as a csv file with columns:- longditude latitude year month rainfall region What I need to do is produce a monthly time series for each region, where region is an integer id and where each time point in the series is the monthly average of rainfall for each location in that region. Basically

Hi all, I am noticing some strange behaviour so I am bringing to this list. In the past when I have submitted bugs to bugzilla, I have come here first for confirmation/advice. Hopefully this is appropriate. Upgrading from R 3.5.2 to R 3.5.3 seems to have elicited some strange behaviour on my Windows machine. R seems to have trouble spawning a new process on my machine. You can noticing with all

Dear all, I've noticed the following problem for the past several days: ---------------- snip ---------------- > update.packages(ask=FALSE) . . . trying URL 'http://cran.utstat.utoronto.ca/src/contrib/zoo_1.7-11.zip' Error in download.file(url, destfile, method, mode = "wb", ...) : cannot open URL 'http://cran.utstat.utoronto.ca/src/contrib/zoo_1.7-11.zip'

Hi there, we are looking for a research assistant for a project on analysing timeseries in the field of educational research. We have timeseries of the subjective perception (I understand, I feel good, I am interested etc.) of 109 students (6 different courses, 26 to 72 hours of classroom teaching, 208 to 332 points of measurement). We want to do exemplary analysis of the interaction

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

Hello there, Could anybody please help on how to correctly use ggplot when printing irregural time series, by irregural here I mean for example the absence of some dates in the whole timespan of a dataset. To be more precise in the following example I generated some random data which spans the whole November up to now and dropped weekend days but for some reasons ggplot continues to plot the

My day for dumb questions. How do I increase the type size in the Rgui console in Windows? (R-2.13.0, Windows 7) It looked to me that I just needed to change the font spec in Rconsole but that does not seem to be working. The R FAQ for Windows has a reference in Q3.4 to changing fonts, (Q5.2), but I don't see anything relevant there. Rconsole originally was: font = TT Courier New points =

Hello there, I am trying to compute the 3 months return momentum with the timeSeries x.ts, which is just a subset of simple returns from a much bigger series, > class(x.ts) [1] "timeSeries" attr(,"package") [1] "timeSeries" > dim(x.ts) [1] 20 3 > x.ts[1:8,] GMT MS.US AAPL.US CA.FP 1996-01-31 0.15159065 -0.133391894

I am trying to clean up some dates and I am clearly doing something wrong. I have laid out an example that seems to show what is happening with the "real" data. The coding is lousy but it looks like it should have worked. Can anyone suggest a) why I am getting that NA appearing after the strptime() command and b) why the NA is disappearing in the sort()? It happens with na.rm=TRUE