similar to: interpolation to montly data

Dear R users, I have a panel data set (in MS excel) on prices across countries and time country time price 1 "23/11/08" 2 1 "28/12/08" 3 1 "25/01/09" 4 1 "22/02/09" 5 1 "29/03/09" 6 1 "26/04/09" 32 1

Dear R users, I have data on 4 types of interest rates. These rates evolve over time and across regions of countries . So for each type of interest rates I want to run a regression of rates on some other variables. So my regression for one type of interest rate will be I_{ij}_t= a +regressors +error term. where I_{ij}_t is the absolute difference in rates between two locations i and j at time

Dear R users, I have the following problem I have a panel data across countries and individuals. For each country I have a sequence of dates For France for example 22/02/09 22/03/09 19/04/09 17/05/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 For Italy 14/06/09 12/07/09 09/08/09 06/09/09 04/10/09 01/11/09 29/11/09 27/12/09 31/01/10 28/02/10 28/03/10 The structure

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

Dear all i got a problem in monthly mean temperature. here i am attaching the data set as well as the plot i got with the following command plot(month,type='n') plot(month,X1999) this command gave the plot where the month names are in alphabetic order, i want the plot in monthly sequence could you please suggest me how can i solve my problem? thanking you regard madan

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 have a collection of about 16 time series with occasional missing data. A few of these time-series start later than the rest. There is a relatively high correlation between them (they are hourly temps at various locations around the UK). The longest series contains about 40000 points I have constructed each time series into a zoo object and then merged each of these objects in to one (zoo

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]]

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

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 #{

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 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:

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 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

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

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 friends!!! I have a list of values called y. The list is y=c(221.0, 212.0, 206.0, 202.7, 198.4, 195.1, 192.2, 189.7, 187.6, 185.8); y is f(x) and x=c(10,20,30,40,50,60,70,80,90,100). I only have x and y. I don?t know f(x). I would like interpolate f(x) to obtain other values as f(15), f(25), f(35) and if it was possible obtain f(110), f(120). is there any function that allow me obtain

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

Hello fellow R users, I would need your help on GAM/GAMM models and interpolation on a marked spatial point process (cases and controls). I use the mgcv package to fit a GAMM model with a binary outcome, a parametric part (var1+..+varn), a spline used for the spatial variation, and a random effect coded through another spline in this form: gam(outcome~var1+.+varn+s(xlong+ylat)+s(var,