similar to: readcsvIts

Hello, Try example(names) in R 2.5.0 after library(RDCOMClient) and you get > example(names) names> # print the names attribute of the islands data set names> names(islands) Error in names(islands) : no applicable method for "names" > Is this normal? Any way round it??? Best regards, Costas ---------------------------------- Costas Vorlow

Dear list members, How can I shade the background area of a zoo time series object between specific dates? eg. library(tseries) library(zoo) SP500<-get.hist.quote("^GSPC", start = "1990-01-01", quote = "Close") plot(SP500) How can I produce the same plot but with a (say) red background between 2007-04-12 and 2008-05-14 ?

Dear all, Wouldn't it be helpful if the install.views install.packages update.packages had a "downloadonly=TRUE" flag which would allow us to download the packages and install them later (or put them in a USB stick and take them for installation on anothe PC). I am behind a firewall (Bank) and I have serious plroblem updating R or installing views (Finance, Econometrics etc.

Dear all, I am fitting an arimax (arima with some extra explanatory variables) model to a time series. Say, I have a Y (dependent variable) and an X (explanatory). Y is 100 observations (time series) and X is 100 + 20 (20 to use for the forecast horizon). I can not make xreg work with the forecast function for an arima fit. The "predict" function seems to be working but the

Hi, I have the following problem: library(playwith) x<-ts(rnorm(100)) y<-ts(cumsum(x)) playwith({ par(mfrow=c(2,1)) plot(x) plot(y)}) I can't make playwith identify (using the button top left) datapoints on multiple graph plots (eg. par(mfrow=c(2,2) for a 2 x 2 frame of plots). Is it possible any other way? Many thanks in advance, Costas P Think

Hi I am trying to save some plots in a postscript file. When I generate the plots in the main window, they appear correctly - their orientation is landscape (i.e., horizontal). However, when I open the .ps file with GSview, the whole page appears vertically, and the plot appears horizontally, which means that the plot is only partially visible (example here

Dear, Thanks for the previous tips about 'its' for importing the following data. 5/10/1998,7 5/11/1998,5 5/12/1998,2 5/14/1998,1 5/15/1998,1 5/19/1998,1 5/20/1998,1 1. When using the following command; test<-readcsvIts('Fires98.csv',informat=its.format("%m/%d/%Y"),header=FA LSE) the function reads in the data from the csv file as; V2 05/10/1998 7

Good day: I am trying to use readcsvIts("nwr_data_qc.txt",informat=its.format("%Y%m%d%h%M %Y"),header=TRUE,sep="",skip=0,row.names=NULL,as.is=TRUE,dec=".") to read in a file (nwr_data_qc.txt) that looks like this: Time Y M D H Min CO2 2000.18790 2000. 3. 9. 18. 30. 373.60 2000.20156 2000. 3. 14. 18. 30. 373.34

Folks, I'm trying to learn `its' and am stuck on many basics. Could you please help? I am on R 1.9.1 (2004-06-21) on Linux 2.4.17 #2. My its version says Packaged: Tue Apr 27 13:38:25 2004; HeywoodG Built: R 1.9.0; ; 2004-04-28 15:03:13; unix This part flows fine -- library(its) x1 <- newIts(start="2000-01-01", end="2000-01-10", 1:30, ncol=3) print(x1)

I currently have an instance of R running on Solaris 8 Version 2.2.0 (2005-10-06 r35749) Package: its Version: 1.0.9 Package: Hmisc Version: 3.0-1 I decided to build a new install on Linux RedHat As4.0 32 Bit running R version 2.4.0 (2006-10-03) Package: its Version: 1.1.4 Package: Hmisc Version: 3.1-1 Package: chron Version: 2.3-8 I am using the library(its) on both machines and

Frank, Thanks for the reply so what I did in the interim was unistalled Hmisc and chron and used version 3.0-2 of Hmisc which doesn't have the dependency on chron, and reinstalled its version 1.1.4 However I still heave the issue, when I try to run the quantile command on the given dataset. Thanks, ~Lloyd Gilroy, Lloyd (GTI) wrote: > I currently have an instance of R running on

Dear all, Is there a simple trick to read in data with the following format and create a Time Serie object of it? Date CountOfField2 5/10/1998 7 5/11/1998 5 5/12/1998 2 5/14/1998 1 5/15/1998 1 5/19/1998 1 5/20/1998 1 5/21/1998 1 5/24/1998 2 5/25/1998 1 5/26/1998 2 .... 2002 ... R should recognize that some dates are not available...(NA). You can define start and end date Ok, and frequency= 365

I know this: > library(date) > x="1979-04-04" > try=as.date(x, "ymd") > print(try) [1] 4Apr79 and that `x' here has to be a string, e.g.: > x=1979-04-04 > print(x) [1] 1971 I'm stuck in reading from a file. I say: > A <- read.table(file="try") > print(A) V1 V2 1 1979-04-04

Problem 1: Often, when I'm dealing with its, str() breaks. Here's a bug demo. The first statements work fine -- library(its) # Make a series of all dates from 1/1/2000 to 10/1/2000; fill this up # with integers from 1 to 30 x1 <- newIts(start="2000-01-01", end="2000-01-10", 1:30, ncol=3) print(x1) # Do the same, but restrict yourself to weekdays only

Having to collect hourly electricity loads and quarter-of-an-hour electricity production data for some years I think that the tidiest way of doing it is to resort to ts but I don't know how to define such a frequency starting from a set date. Leafing through r-help mail archives I've found this *ALMOST* satisfactory message: ==========================================================

OK. What if I have a time series which is collected every Monday, please? What is the proper way to use the start option within the ts command in order to indicate that this is Monday data, please? Thanks again! Sincerely, Erin

I have been trying to do a nls model and gives me the error of a nonnumeric argument table(file="c:/tt2.txt",header=T) > fit.model <- nls(TT~60*(1+alpha*(v/c)^beta),data=tt2, start=list(alpha=1, beta=3, v=1000)) Error in v/c : non-numeric argument to binary operator > is.numeric(tt2) [1] FALSE > is.character(tt2) [1] FALSE > as.numeric(tt2) Error: (list)

Hello R users, For the last few days I am struggling with the following task: my data.frame: A1 A2 A3 B1 B2 B3 58.81 53.292 54.501 13.013 17.39 19.407 56.02 56.251 54.033 20.099 13.15 10.411 55.376 53.099 57.625 13.396 21.031 13.22 58.584 53.194 54.218 13.038 16.854 19.289 55.7 55.921 53.847 19.942 13.153 9.828 55.093 52.934