similar to: Time Series w/irregular frequency, how to construct a time series object?

Hi all, Issue: I have two datasets, one is a regular time series (rain gauge) with resolution of 10 minutes. The other one is an irregular time series (link). Now I want to analyze the correlation between these two datasets with linear regression. The regular time series is a data.frame and the irregular time series is a zoo object. Problem: For the irregular time series (link) I want also a 10

Dear R users I am currently investigating time series analysis using an irregular time series. Our study is looking at vegetation change in areas of alien vegetation growth after clearing events. The irregular time series is sourced from Landsat ETM+ data, over a six year period I have 38 scenes. For certain periods I have monthly data while for others, images are up to three months apart. So far

Dear colleagues, particularly academic ones, So I'm creating a Microsoft Word template for myself so that every time I teach a new course, I don't have to enter in the dates manually for each class session. I'd like to use an R script that can generate an irregular series of dates starting from one date (semester begin) to another (semester end) using an irregular interval in

I built some reasonably successful tools in a graphical database for reconstructing the developmental turning points for feedback loop driven natural processes. I'm trying to move it to R and am having difficulty with the very basics, i.e. a) defining time series using time as a natural number rather than a place in a table. I was also hoping b) someone might have built some of the

I have uploaded to CRAN a new package named 'its' (Irregular Time-Series). It implements irregular time-series as an S4 class, extending the matrix class, and records the time-stamp of each row in the matrix using POSIX. Print, plot, extraction, append, and related functionality are available. Feedback and suggestions are welcome. Giles Heywood

I have uploaded to CRAN a new package named 'its' (Irregular Time-Series). It implements irregular time-series as an S4 class, extending the matrix class, and records the time-stamp of each row in the matrix using POSIX. Print, plot, extraction, append, and related functionality are available. Feedback and suggestions are welcome. Giles Heywood

Dear R developpers, I am a user of Splus since many years and I have developped lots of functions to plot graph of data and model results of irregular or regular times series. In Splus regular times series are created using the rts function and irregular time series using the its functions. In both cases, times is given as a numeric vector. There is no problem in plotting a regular and an

Hi all, Issue: I merged two zoo objects (a regular and an irregular). After the merge I used the function 'na.approx' to have also values in the resolution of the regular time series. Problem: After approximation some rows at the beginning or at the end of the zoo objects disappear due to the 'na.approx' algorithm. Now I just want to have all the rows of the regular time series

Hi, I realized that when I have irregular series to feed into lineChart, the interval of each point in the chart does not seem to take care of irregular time interval I specified in my input xts time series. But rather, lineChart seems to take each point as equal spaced time series. For example, I have the following code: library(quantmod) options(digits.sec=3) t0 <-

Hi, I am trying to read the following type of data from a .csv file to form an irregular time series object. I want to use it with the VaR package. How do I read it in correctly to an irregular time series object? Anupam. date,Open,High,Low,Close,Volume,OpenInterest,Contract 1972-08-16,54.25,54.25,54.25,54.25,1,1,KC1973H 1972-08-17,54.25,54.25,54.25,54.25,0,1,KC1973H

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

Also after thorough reading of the help pages it is still not clear to me how to treat irregular time series in R. Is there an object similar to the "its" object of S-Plus ? Thanks Daniel Straumann University of Copenhagen Denmark -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

Background: OS: Linux Mandrake 9.1 release: R 1.9.0 editor: Xemacs 21.4 frontend: ESS 5.1.23 --------------------------------- Colleagues I have two time series (upwelling index and water temperature) of evenly spaced, daily data over 18 months, but the upwelling index series has a gap of about 2 months right in the middle of it. I want to do the acf, pacf, ccf, and a cross-spectral analysis

Hello, I have an irregular time series of the form : Time Data Time1 Data1 .... 1 b 1 e 7 g 4 i NA NA 5 k NA NA NA NA ... (the columns have varying length of NAs after a certain point) Converting this to regular time series with Pastecs does not seem to work, when I see the entire data as a single series. So I remove

Hi, I have a couple of aggregation operations that I don't know how to accomplish. Let me give an example. I have the following irregular time series time x 10:00:00.021 20 10:00:00.224 20 10:00:01.002 19 10:00:02:948 20 1) For each entry time, I'd like to get sum of x for the next 2 seconds

I am new to R and am trying to solve the following problem: I have a data file containing tick-by-tick, millisecond level prices for some stocks. I have another file or two containing orders and trades, again, with millisecond time-stamps. Both of these files are irregularly spaced and the time stamps are in an iso format (<date> <time>.<millisecond>) I would like to create a

Hello, Does R have objects to handle irregular time series data? For example, Splus uses the "its" object. I suppose I could write my own "its" function in R. Thank You, Tony Fagan ASYNC Technology, Inc. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://stat.ethz.ch/pipermail/r-help/attachments/20000117/b8302bf9/attachment.html

R: Is there an easy way to get the acf and pacf for an irregular times series? That is, the acf and pacf with lag lengths that are in units of time, not observation number. Thanks, Jason Higbee Research Associate Federal Reserve Bank of St. Louis The views expressed in this email are the author's and not necessarily those of the Federal Reserve Bank of St. Louis or the Federal Reserve

If I understood correctly in irregular time series (its) objects, values are indexed by time stamps in POSIX format. But if I try to select the value of my time series corresponding to specific time stamp in the following way: x - its object i <- as.POSIXct("2006-05-19 15:30:00") x[i,] or x[i] or x[i,1] I get the error message: subscript out of bounds. If I use integers: x[1,1] it

Hi all, I wonder if there is any way to calculate a moving average on an irregular time series, or use the rollapply function in zoo? I have a set of dates where I want to check if there has been an event 14 days prior to each time point in order to mark these timepoints for removal, and can't figure out a good way to do it. Many thanks in advance! Gustaf Example data: