similar to: irregular ts plot?

Hello, I'd like to make a z(x,y) plot for irregularly spaced x,y. What are routines are available in R for this purpose? Thanks, Mark

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

Hi, ? We are using Samba3 as PDC. Sometimes (once a month, irregularly) Samba stop serving clients and log file looks like this: ?.. [2014/05/19 08:20:51.411247,? 0] lib/fault.c:47(fault_report) ? =============================================================== [2014/05/19 08:20:51.411576,? 0] lib/fault.c:48(fault_report) ? INTERNAL ERROR: Signal 11 in pid 24222 (3.6.6) ? Please read the

Dear all, I work with (vibrational) spectra: some kind of intensity (I) over frequency (nu), wavelength or the like. I want to do fourier transform for interpolation, smoothing, etc. My problem is that the spectra are often irregularly spaced in nu: the difference between 2 neighbouring nu varies across the spectrum, and data points may be missing. Searching for discrete fourier transform

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

Hi R-users: How can I format a daily time serie with ts function so the plot of the time shows the date right (dd/mm/yy) or yy.xxxx ? Excerp of the database: FECHA TRM 1 01/01/2000 1873.77 2 02/01/2000 1873.77 3 03/01/2000 1873.77 4 04/01/2000 1874.35 5 05/01/2000 1895.97 . . . 1397 10/11/2003 2843.82 1398 11/11/2003 2840.41 1399 12/11/2003 2840.41 1400 13/11/2003

Hi, There seems to be a problem with setGroupGeneric() from package 'methods'. The symptoms are somewhat erratic, in the sense that small changes may lead to any of the following behaviours. 1.Package works without problems on Windows and installs on Linux but gives error when loaded with library(). 2.Package installs on both systems and gives error when loaded on any of them. 3.

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 <-

A new version of tseries (0.9-10) has been uploaded to CRAN. The new version contains the class "irts" for irregularly spaced time series. Irregular time series are basically time series where each observation (uni- or multivariate) has a time-stamp represented by an object of class "POSIXct". It provides some basic functionality such as reading and writing irregular time

A new version of tseries (0.9-10) has been uploaded to CRAN. The new version contains the class "irts" for irregularly spaced time series. Irregular time series are basically time series where each observation (uni- or multivariate) has a time-stamp represented by an object of class "POSIXct". It provides some basic functionality such as reading and writing irregular time

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. This is my first post, so allow me to introduce myself. But first, I'd like to thank all the authors and contributors to the R software, as I think that it is truly a great and very useful package. I am the author of moodss, a GPL modular monitoring application (http://moodss.sourceforge.net). Moodss collects, archives in a SQL database and displays data from monitored devices,

Hi. I am trying some S-Plus scripts that I used a few years ago on R. Many things have worked flawlesly and I am very impressed with the work the developers have done. (As I remember, the license fee on S-Plus at that time was ~$4500 per seat (AIX) ouch!!) So, thank you. My question relates to the intrp function, which takes irregularly spaced xyz data and produces a regular xyz grid

Howdy! I am attempting to convert a date frame with irregular dates into a regular time series, aggregated by date. i have tried using both the 'its' and 'zoo' packages. I have something like times<-c("2003-03-05", "2003-03-05", "2003-05-05" ,"2003-04-07" ,"2003-03-05") aarf<-data.frame(times) aarf$x<-runif(5) what i

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

Hello, I'm dealing with the following problem: I have a table with x and y coordinates and corresponding values of a mineral concentration, let's call it z. Can someone provide me a short step-by-step manual for the steps necessary to get a contour map? How to sort and interpolate my matrix to an equidistant grid which can afterwards be plotted by contour(x,y,z)? (e.g. fill the

Hi, I have a irregularly spaced time series dataset, which reads in from a .csv. I need to convert this to a regularly spaced time series by filling in missing rows of data with NAs. So my data, called NtuMot, looks like this (I've removed some of the additional rows for simplicity).... ELEID date_time height slope 1 2009-06-24 00:00:00

All, I am attempting to select all of the contiguous elements of a matrix that meet some criterion. I.e., values that would be contained within an irregular area defined by a "contour" applied around point of interest. So, if I have a matrix x as follows: > x <- matrix(rnorm(25), nrow=5, ncol=5,

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 all, I have a time series of data that I would like to represent in a plot. But I am facing some problems to do it because the time is represented in "hours", it can start in one day and end in another day, and it is not regularly spaced. My problem is that when I plot my data, my X-axis always starts from the lower values of my time data. For example, I would like to plot data