similar to: Interpolation across merged zoo columns

#I would like to interpolate a straight line between 06/08/06 04:16:00 - 06/08/06 20:31:00 with values and then sum them. This is an estimate of ecosystem #respiration and I will be using this in a larger context(48 days of these diurnal curves), but for right now I am just trying to figure out how to do it for this one #day example. I have some other code for Ecosystem (stream) Metabolism that

Dear all, I'm trying to interpolate a dataset to give it twice as many values (I'm giving the dataset a finer resolution by interpolating from 1 degree to 0.5 degrees) to match that of a corresponding dataset. I have the data in both a data frame format (longitude column header values along the top with latitude row header values down the side) or column format (in the format latitude,

hi guys I need to interpolate values for the zero coupon yield curve. Following data is given date days rate 1996 01

Greetings R Users, I?m new to R but at least managed to read in multiple files: filenames <- list.files(path=getwd()) numfiles <- length(filenames) for (all_temp in c(1:numfiles)) { filenames[all_temp] <- paste(filenames[all_temp],sep="") assign(gsub("[.]ASC$","temp",filenames[all_temp]),read.delim2(filenames[all_temp],

Jean Marc & list, I was going to start fiddling with using the ability to pass NULL to speex decode and using that to return an interpolated frame. I am curious what the intended use of this feature was- I.e. if there is a packet loss situation is it preferable to keep interpolating until new data shows up, or to cut your losses after a certain number of frames? I suppose some of this

Hello I have a string which contains microseconds, can anyone help on constructing this in to a time object, with the microseconds, that I can take to a ZOO file? Thanks Sean > UK[1,3] [1] "17:09:53.824" > UK[1,1] [1] "2007-12-11 00:00:00" > mydates <- paste( substr(UK[,1], 1, 10), UK[,3]) > mydates[1] [1] "2007-12-11 17:09:53.824" >

As part of a project I am doing, I had to present a 2D table as a surface. This was fairly straightforward (using persp), but I needed to interpolate points to make it sort of pretty. This was done by using quadratic interpolation between the existing points to smooth out the surface a bit. As I couldn't find an R function that did this, I wrote an admittedly nasty pair of functions that

Hi, I'm trying to determine if R is useful to me. I've browsed 'The Basics of S and S-Plus' (Krause & Olson), and like the logic of the language. However, I don't see an easy way to do things like this: * given a set of observations (x,y) (x and y equal-length vectors), and a 2nd set of abscissas x2, interpolate y at the new abscissas x2. (for now, I don't really

df is a very large data frame with arrival estimates for many flights (DF$flightfact) at random times (df$PredTime). The error of the estimate is df$dt. My problem is that I want to know the prediction error at each minute before landing. This code works, but is very slow, and dominates everything. I tried using split(), but that rapidly ate up my 12 GB of memory. So, is there a better R way of

Hello, I have 15 data points (weight at birth) by age which I want to interpolate back in time (to 5 more age points). There are many functions in R to do this and I wonder if anyone has experience in using these -- any preference/caveat etc? I am trying to find an alternative to linear interpolation. Using R 1.6.0 under windows TIA Marwan

R users: I'd like to get some insight on an error I encounter when attempting to work with two moderately sized sets of time series data. FYI - I'm using the following versions of R and supporting packages on a Windows 2000 OS: - R version 2.4.1 (2006-12-18) - zoo version 1.2-2 - chron version 2.3-10 The two time series I'm working with are from the summer of 2004 and are: 1.)

Hello R Users, How to make a variable equidistance with time i.e. how to interpolate a variable if it is not sampled at equal time interval. Many thanks, Regards, Yogesh [[alternative HTML version deleted]]

Hi R experts, I have the following timeseries data: #example data structure a <- c(NA,1,NA,5,NA,NA,NA,10,NA,NA) c <- c(1:10) df <- data.frame(timestamp=a, sequence=c) print(df) where i would like to linearly interpolate between the points 1,5, and 10 in 'timestamp'. Original timestamps should not be modified. Here the code I use to run the interpolation (so far): # linear

Hi there, I?ve got a datatable in R which I try to interpolate with this and get the Error below: > new$temp<- approx(w03_11temp$temp, n = (nrow(w03_11temp)*5))$y Error in new$temp <- approx(w03_11temp$temp, n = (nrow(w03_11temp) * 5))$y : Object of type 'closure' not registered Any idea?? Thanks a lot. -- View this message in context:

Howdy everyone. I am using modalbox which is very nice an easy to use. I have this for an edit for a company listing: <td><%= link_to(''Manage Companies'', {}, :onclick => ''Modalbox.show(\''/ companies/edit/#{company.id}\'', {width: 600}); return false;'') %></td> The link is not putting the company.id in it puts #{

Hi there, I have been using the Tps function (within the Fields package) for a while now to interpolate different sedimentary units. Due to the method of formation of the units I know that at some edges the thickness of the unit decreases to zero. I was wondering if there was someway to specify that the interpolation only occurs within the convex hull of the data, outside of which the the values

Hi, I have three matrices (X,Y,P) with the same dimension. The X,Y grid is regular and I want to perform linear interpolation to pick out certain points. In matlab appropriate call is something like Pout=interp2(X,Y,P,Xout,Yout, method="linear") where Xout and Yout are the locations where I want the Pout data (typically a different grid). (Scipy has this routine in

Hi, When an audiopacket is received too late I could interpolate this frame. The problem is that I don't know if it is a true bufferloss or just the last audiopacket of a talkspurt. Now my question is if it's harmfull for the audioquality that at the end of the talkspurt one frame is interpolated? Or would this be almost inpossible to hear since the last audiopacket in the talkspurt

Dear all, I am just wondering if anybody has implemented a function that can give a piecewise linear interpolation in more than 2 dimensions? I have looked at the akima package, but I would rather like a piecewise linear interpolation rather than a spline and while it did the job quite satisfactory for 2 dimensions, I need to interpolate in at least three dimensions. If anybody has implemented

Hello again, I merge different zoo time series with prices at different dates. This returns a multivariate zoo object with NA's at various points i.e., 2010-02-28 NA NA NA NA 850.2 2444.4 NA NA NA NA NA NA NA 2010-03-01 61.1 55.3 61.5 81.24 NA NA 1712.2 3.3 11139.3 163.7 2242.4 9015.6 109.791 2010-03-31