similar to: FW: R and read.irts

I thought r-help let you attach asci files but I don't think it does now so below is a sample of my data set. Thanks again. 09:40:08.5238,67.00,33 09:40:09.1968,67.00,2 09:40:09.7945,67.00,2 09:40:09.7975,67.00,2 09:40:09.8318,66.99,-3 09:40:17.6335,66.95,3 09:41:09.3393,66.95,6 09:41:11.1482,66.95,-1 09:42:07.4552,66.90,-5 09:42:12.5823,66.85,-5 09:42:14.4329,66.80,-2

Hi R-list, I'm working with irregular time series (time series of climate data, daily data 365/6 days a year) and would like to create regular time series from them ( irts e.g. Rain <- irts(as.POSIXct(Climate[,1]),Climate[,5]) to ts e.g. test <- ts(x, start=c(1997,1), frequency=365) ) such that I can find where the gaps (lacking temperature data, ...) are and try

Dr. Williams, I ran across your inquiry on one of the R-help mailing lists regarding digital filter design and implementation. I found no response to your email in the archives and was wondering if you were able to find anything. Thanks, Israel -- Israel Christie, Ph.D. Email: ichristie at gmail.com Phone: 865.766.0214 Mobile: 865.406.4615

I think I did enough reading on my Own about startup ( part of the morning And most of this afternoon ) to not feel uncomfortable asking for confirmation of my understanding of this startup stuff. Obviously, the startup process is more complicated Than below but, for my R newbie purposes, It seems like I can think of the startup process as follows : Suppose my home directory =

Sometimes I print out a package and read about it and there are sometimes nice examples that I would like to run myself. Is there a way to bring them into R from the package or are they only meant to be typed in manually ? If manual is the only way, that's fine. I was just checking whether there was a quicker way. Thanks. Mark

Following code bugs with "Memory allocation failed: Copying Node" error after parsing n thousand files. I have included the main code(below) and functions(after the main code). I am not sure which lines are causing the copying Node which results in memory failure. Please advise. #Beginning of Code for(i in 1:nrow(newFile)) { if(i%%3000 == 0) gc()

I am using 'tm' package for text mining and facing an issue with finding the frequently occuring terms. From the definition it appears that findFreqTerms and minDocFreq are equivalent commands and both tries to identify the documents with terms appearing more than a specified threshold. However, I am getting drastically different results with both. I have given the results from both the

Does anyone know of a simple test in any R package that given a series of negative ones and positive ones ( no other values are possible in the series ) returns a test of whether the series is random or not. ( a test at each point would be good but I can use the apply function to implement that ) ? thanks.

I'm sorry to bother everyone with a stupid question but, when I am at an R prompt in Windows, is there a way to see what packages you already have installed from the R site so that you can just do library(name_of_package) and it will work. I've looked at help etc but I can't find a command like this. Maybe there isn't one which is fine.

In my efforts to convince people to hear how good Vorbis is when compared to MP3, I'm gonna be encoding tracks from my CD collection to both formats, then writing them to audio CD, so people don't have to install extra software to hear the difference. Has anyone got some suggested specs for the options for MP3 encoding when using CDex or Chun-Yu's MP3 writer for winamp (preferably in

Hi there In the past, i have used lame to encode high quality mp3-files (vbr 1, bitrate ~ 192kbit). I tend to switch to ogg with Quality 4 or 5, but i noticed, that many ogg-files tend to produce too much high frequencies response. In many cases, this is very noticeable. For my opinion, i cannot accept this worse frequence reponse. I have used latest version of ogg (OggEnc v1.0, precompiled

Hi there In the past, i have used lame to encode high quality mp3-files (vbr 1, bitrate ~ 192kbit). I tend to switch to ogg with Quality 4 or 5, but i noticed, that many ogg-files tend to produce too much high frequencies response. In many cases, this is very noticeable. For my opinion, i cannot accept this worse frequence reponse. I have used latest version of ogg (OggEnc v1.0, precompiled

Hi, Is it possible to create a ts() object, whose data is daily based BUT measured only on working days? In other words, suppose I have a data set with 255 observations, measured from 29 June 1959 to 30 June 1960. How would I create such a data? I tried something like: ts(c(...), start(1959, 180)) but I'm not sure what to use for frequency. In other words I don't know how to

Hello R users, I'm a newby to R (and programming software at large) and I would need some help to sum up event data at discreet time and irregular time interval into a hourly frequency. Here is an example of my time series frame (irregular time-serie object - irts in the tseries package): time value 2008-12-19 19:11:03 GMT 1 2008-12-19 19:12:00 GMT 0 2008-12-19

I make quite a lot of use of irregular time-series, and had already spent a bit of time writing an 'its' class when the 'irts' class was released via the package 'tseries'. I have experimented with the 'irts' class, and have some practical issues with its use. In some applications of irregular time-series (in my case these are financial and econometric) there are

If I run the following example from: http://www.stat.auckland.ac.nz/~paul/grid/doc/grobs.pdf > grid.newpage() > pushViewport(viewport(w = 0.5, h = 0.5)) > myplot <- gTree(name = "myplot", children = gList(rectGrob(name = "box", + gp = gpar(col = "grey")), xaxisGrob(name = "xaxis"))) > grid.draw(myplot) >

Hi R list, I like the default ticks that are set up using grid.xaxis() or grid.yaxis() with no arguments. Finding good values for the 'at' argument is usually not a trivial task; the default behavior of these functions seems to work well. The problem with this strategy is that I cannot figure out how to "recover" the positions of these ticks when you do NOT specify the

Dear all, I have a large vector (lets call it myVector) and I want to plot its value with the logic below yaxis<-myVector[1] yaxis<-c(xaxis,mean(myvector[2:3]) yaxis<-c(xaxis,mean(myvector[4:8]) yaxis<c(xaxis,mean(myvector[9:16]) yaxis<c(xaxis,mean(myvector[17:32]) this has to stop when the new ..... yaxis<c(xaxis,mean(myvector[1024:2048]) will not find the correspondent number

Dear list, Can someone explain why the childNames below gives character(0) instead of the (canonical) names of the children grobs of the xaxis gTree ? [1] "major" "ticks" "labels" Many thanks in advance, Tobias ### minimal example code ### library(grid) pushViewport(plotViewport(c(5,4,4,2))) pushViewport(dataViewport(1:5, 1:5)) grid.points(1:5, 1:5)

hello R, This is about simulation in psychomtrics in IRT in R. I want to simulate b parameters(item difficulty) with moments of fixed values of mean, st.d, skewness and kurtosis. Is there any specific IRT package in R with those functions to control those moments? I have seen other programs that can control mean and st.d but not skewness and kurtosis. Thank you, helen L [[alternative HTML