search for: interpolations

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

Hi all, I had the need to create a colorbar considering the alpha channel of the colors, but colorRamp() and colorRampPalette() ignored the alpha argument in rgb(). So I performed some minor modifs. in their codes, as to support the interpolation using the alpha channel. I guess that those simple modifications might be useful for other people, so perhaps it would be worth to add them to

Dear all; First of all, this is probably a more conceptual question than a R-related one, but still want to give it a try. When working with the interpolation function "interp" from the package akima and the triangulation function "tri.mesh" from package tripack I've got NA's for the interpolation and "error" for the triangulation. The data is arranged in a

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,

Hello again, There is any package which does Z aware (real 3D) interpolations? It can be any method (IDW, kriging or spline) but it should take into consideration not only x and y coordinates for interpolation, but also z coordinate. I looked into different packages but it seems i didn't find the right one. The ultimate goal is to import the output into a GIS (Geogr...

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

Hello, I have the data whcih are not balanced (several missing observations), and one possibility is t use interpolation method to get the information missing in this series from other series. Does anybody know how I can program interpolation of series1 (which ahs missing observations) and series 2-6, for example. Thanks a lot in advance, Silke

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

Hello :) The attached patch (which is not in any way finished) optimizes the resampler. (For those following the discussions on IRC; this version includes optimizations for both direct and interpolate cases). Using GCC 4.3, x86_64, Valgrind to measure instruction counts, resampling 10 frames of 320 floats at quality 3. Direct was measured with a 16=>48 resampling, and interpolate with a

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

Has anyone got a function for smooth monotonic interpolation of a univariate function? I'm after something like the NAG function PCHIM which does monotonic Hermite interpolation. Alternatively, montononic cubic spline interpolation. Please reply directly. Rob Hyndman ___________________________________________________ Rob J Hyndman Associate Professor & Director of Consulting

At present R has separate functions "spline" and "splinefun". The first of these carries out spline interpolation of a data set and returns the interpolated values; the second returns the interpolating function itself (approx and approxfun are similar). I would like to combine these into a single function "spline" with an (optional) argument which determines which

Dear List,   I have the following code:   x <-c(0, 13.8333333333333, 38.1666666666667, 62.1666666666667, 85.9166666666667, 108.916666666667) y <-c(1.77, 2.39, 3, 2.65, 2.62, 1.8) Interpolated <- approx(x, y,xout=0:tail(x, n=1),method="linear") plot(Interpolated)   in this code x is time in hours (cumulative), and y is a biological variable. I am using linear interpolation

Readers, I have looked at various documents hosted on the web site; I couldn't find anything on interpolation. So I started r and accessed the help (help.start()). (by the way is it possible to configure r to open help in opera instead of firefox?) Initially I read the help for the akima package but couldn't understand it. Next I tried the asplines package help. I tried to copy the

Hi all, I wrote a function (in R batch mode) which reads binary data, interpolates sometimes and wrote a new binary file of the same size as the input file. Her is a bit of code: while (length( head <- readBin(si, integer(), 64, size=2))) { data <- readBin(si, integer(), head[5], size=2) ## now write head to new file writeBin(head, so, size=2) ## if head[4] is 9 or

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

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:

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

I''m in the process of rolling out a new homegrown ENC (we''ve decided on using an ENC over hiera; I know it''s not the way a lot of you are going, but it''s right for us) and am running into some issues with variable interpolation in ENC data. To give a concrete example, I''m using modules to configure puppetdb, puppet master, and puppet clients. So,

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