similar to: bilinear regression

I have what is probably a very simple problem but I would be very grateful to the list for any help or pointers to implement a solution in R. We have two types of measurements on the eye that we have collected in 62 patients at 5 fixed time points during a clinical visit over an office day. We want to establish if there is an association between the measurements. Obviously it would be wrong to

Dear all, there are R packages able to simulate or estimate bilinear model for time series? I know it is an open problem, but do exist something for very simplified bilinear models? Alternatively, what kinfd of non linear time series models are performed in R? If R is not able, could someone suggest me for some commercial softwares to deal with bilinear models? i'm afraid of a negative

Dear all, I'm having trouble interpolating a number of gridded datasets that I have. I'm quite new to R so any help/advice that can be offered would be much appreciated! Firstly I'll describe my dataset. The data is a grid of the planet at 1 degree spatial resolution, with each grid cell containing a value describing a particular variable (e.g. population density) for coordinate

I would be very grateful for any help from members of this list for what might be a simple problem... We are trying to simulate the behaviour of a clinical measurement in a series of computer experiments. This is simple enough to do in R if we assume the measurements to be Gaussian, but their empirical distribution has a much higher peak at the mean and the distribution has much longer tails.

Theora-devs: I am in seek of a theora (but possibly vorbis/ogg/ffmpeg) dev to optimize the encoding in a realtime software product. We do live encoding and transcode into ogg/theora/vorbis at various resolutions and frame rates. The higher resolutions cannot process in realtime and we are pushing the boundaries of hardware (cpu) encoding with the existing theora/ffmpeg. Right now we have to

I would be grateful if members of the list could point me in the direction of any code (preferably in R) that will allow me to estimate 95th percentiles from a set of repeated measurements. For example, we are interested in a clinical measurement where we have 3 measures for 14 subjects and 2 measurements on 24 subjects and single measurement on 36 subjects. We want to combine these to form a

Hi everybody I need help to solve the following problem in finite element A field variable f(x,y)=x? y is defined over a rectangle domain ?={K: 0?x?4 , 0?y?6? Given the expression g=?_(0 0)^(6 4)??X^3 Y dx dy? And assume the following bilinear interpolation shape functions are used to discretize the spatial geometric variable x and y: N1= ? (1-z)(1-e) N1= ? (1+z)(1-e) N1= ? (1+z)(1+e) N1=

Dear all, This problem came up initially while debugging a function, but it seems to be a more general problem of R. I hope I'm wrong, but I can't find another explanation. Let me illustrate with the raster package. For an object "RasterLayer" (which inherits from Raster), there is a method xyValues defined with the signature

We do not have a generic blitter on nv3x cards, so we must use the sifm object for color resolving. This commit divides the sources and dest surfaces in to tiles which match the constraints of the sifm object, so that color resolving will work properly on nv3x cards. Signed-off-by: Hans de Goede <hdegoede at redhat.com> --- Changes in v2: -Use 1024x1024 blocks -Use the sifm on both nv3x

May I ask why you're doing 512x512 instead of 1024x1024? These are already scaled up coordinates, so 1024x1024 should work no? Or is it because of the seams on the edges? Do those not also appear with 512x512 or does it sample outside of the box? Separately, why not use this approach on nv40 as well? I can't imagine the blitter would be faster... does this result in lower quality? On

Dear all, I'm new user of R package. I'm trying to interpolate climate variables from ERA data. Original data contains 6 column with 29,040 lines, and x, y dimension are 240x121. I would like to get new data from column name: "lon", "lat" and "temp" by x, y dimension are 3,586x1,800 So I used the code as below, but I got error message as "z[cbind(lx1

I use a lot of "force user" and "force group" directives on various shares. With smbstatus of Samba 2 I could always verify with a glance what uid and gid a particular service is being accessed as, with Samba 3 you can't. I'd REALLY like to see that come back to smbstatus. Here's a real world example of my complaint... Samba 2 smbstatus output... Samba version

> The Xbox is based on commodity PC hardware and runs a stripped-down version of the Windows 2000 kernel using APIs based largely on DirectX 8.1. however, it also incorporates changes optimized for gaming and multimedia uses... Is there any chance that wine can be made to run xbox games? There is alot of hardware optimisation so perhaps this is impossible, unless your running wine on an xbox,

Hello R-Group, I am new working with netcdf files and the raster package in R.I am trying to read in a netcdf file using the package "ncdf".I am able to get the lat, lon and parameter I need and can plot using fill.contour.Ultimately, I am trying to create a .asc file to reafd into GIS.I am using the package "raster" to read the parameter.When I read in with

Hi This is for developers of extension packages that provide extra *graphics devices* for R. In the *development* version of R, support has been added to the graphics engine for sending raster images (bitmaps) to a graphics device. This consists mainly of two new device functions: dev_Raster() and dev_Cap(). The R_GE_version constant (in GraphicsEngine.h) has been bumped up to 6 as a

I''ve tried migrating acts_as_attachment to attachment_fu (just to see if I could replace RMagick with ImageScience+FreeImage), but the quality of the thumbnails is just horrendous, blurred beyond recognition (downscaling a 1280x1024 to a few considerably smaller thumbnails). Changing attachment_fu to use RMagick again and the thumbnails were crispy sharp again. I was wondering

I wanted a simple function for bilinear interpolation on a 2-D grid, and interp.surface() in the fields package didn't quite suit my needs. In particular, it requires uniform spacing between grid points. It also didn't have the "visual" reference frame I was looking for. Here is an alternative function, followed by an example. # A function for bilinear interpolation on a 2-d

Can anyone shed some light on this error? I can't seem to find any information as to why it is failing. Thanks. USTR-MINT-A-1:~ # net ads join "United States\Tredyffrin\Resources\Servers" -U trimblrd trimblrd's password: Failed to pre-create the machine object in OU United States\Tredyffrin\Resources\Servers. I have tried two different domain admin accounts and I get

Hi everybody. i have 2 datasets : one with a long grid a lat grid and a bathymetry grid the second one only has the long and lat coordinates. So i want to know the bathymetry associated to the second dataset. I thought it was a good idea to do an interpolation between the two datasets. I find a script doing that on matlab but i want to do it on R. Do you how to do it? for ii =

I hope you can help with what might be an easy query. I am doing some simple simulations where I am generating series of data from a normal distribution using rnorm. I am then treating these as a time series. I want to know how I can incorporate correlation in the series (autocorrelation) i.e. make the observations non-independent, with a known (but simple) correlation structure. In other words I