similar to: how to handle irregularly spaced data as timeseries

Thank you ahead of time for help with this. I have two matrices X [,1] [,2] [,3] [,4] [,5] [,6] [1,] 660 693.00 726.0 759.00 792.0 825.00 [2,] 548 575.40 602.8 630.20 657.6 685.00 [3,] 676 709.80 743.6 777.40 811.2 845.00 [4,] 763 801.15 839.3 877.45 915.6 953.75 [5,] 768 806.40 844.8 883.20 921.6 960.00 [6,] 692 726.60 761.2 795.80 830.4 865.00 [7,] 657 689.85 722.7

Matt, I know you are probably busy with work, but I cannot help buy asking you these R questions. If it is bothersome, please let me know and I will stick with the R help... but I have two matrices X [,1] [,2] [,3] [,4] [,5] [,6] [1,] 660 693.00 726.0 759.00 792.0 825.00 [2,] 548 575.40 602.8 630.20 657.6 685.00 [3,] 676 709.80 743.6 777.40 811.2 845.00 [4,] 763 801.15 839.3

Hello, I have a small problem with developing design matrix X, which I use in estimation the log-likelihood of a multinomial logit model. I have the data: number of observation - 289 number of choice alternative- 3 number of choice specific variables in matrix X -4 matrix X =289x4 I tried to use the function createX, I know that I have to get design matrix 289x12 (am I right?) but

Hi all, I have been a happy samba user for a few months now. Since last week I have been a less happy user, however. I am hoping you can help. I probably need some directions on debugging/log viewing. I have a samba 3.5.10 server which works fine most of the time (on my Centos 6.3 machine). Windows (2008 R2) users are using network drives from this server. I set up winbind which seems to work.

On some production servers with dom0 kernel 2.6.32 pvops and xen 4.0 and domus mainly windows with gplpv I noticed a strange cpu usage by the dom0 mainly with the use of a single cpu, for example this take from one server: xm vcpu-list Name ID VCPU CPU State Time(s) CPU Affinity ... Domain-0 0 0 3 -b- 1043377.5 any cpu

Folks I just installed a centos6 system on a 64-bit box. My methods include remote administration, using ssh from a windows machine. I use this method successfully on several Centos5 boxes and one Centos6 (32bit) machine as well. However, on this latest one, I get inconsistent results with ssh. This is a server, SELINUX is disabled, it's command line only, and I have installed

Folks I just installed a centos6 system on a 64-bit box. My methods include remote administration, using ssh from a windows machine. I use this method successfully on several Centos5 boxes and one Centos6 (32bit) machine as well. However, on this latest one, I get inconsistent results with ssh. This is a server, SELINUX is disabled, it's command line only, and I have installed

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

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

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,

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