similar to: Interpolation of data

Hello, I have to merge several serie by "date". I used: cb<-merge(cbds,cbbond,by=c("date"),all=T). I have the daily and the high frequency data. Unfortunately, the programm did not sort by "sort" my data in a chronological manner. Is there any possibility to do this in R?. Thanks in advance, Silke

Hello everybody, I have two series of intervals, and I'd like to output the shared regions. For example: series1<-cbind(Start=c(10,21,40,300),End=c(20,26,70,350)) series2<-cbind(Start=c(25,60,210,500),End=c(40,100,400,1000)) > series1 Start End [1,] 10 20 [2,] 21 26 [3,] 40 70 [4,] 300 350 > series2 Start End [1,] 25 40 [2,] 60 100 [3,]

Dear List, I would be pleased if someone can help me with the following issue: I'm about to plot two time series in one plot via ts.plot which looks like: ts.plot(series1, series2, main=main, xlab=xlab, ylab=ylab, col=c("green", "red", "blue"), lwd=2) The problem is, that R automatically sets the x axes labels in 5-year-intervalls. Every

Hello users, I've noticed a problem when creating a stacked column plot when a column contains a negative and a positive value. e.g. series1<-c(-1,-2, 3, 4, 5) series2<-c( 5, -4,-3,-2, 1) data<-rbind(series1,series2) barplot(as.matrix(data), beside=FALSE) In these cases (i.e. first, third and fifth columns) the plotting is not handled correctly. Compare this output with that

Howdy. Been running into a bit of trouble with plotting. Seems that axes=F is not "working". Whenever I plot (either a dataframe or xts/zoo series) and I set axes=F along with xlab/ylab="" I still get the default axes printed in my chart. Consider this: #Create some sample data, both 50 units of blah series2 = c(1:50) series1 = rep(25:74) testdf1 = as.data.frame(series1)

Dear R heleprs   Suppose I have following data   Scenarios combination_names     series1    series2 Sc1 MAT2 GAU1 7.26554 8.409778 Sc2 MAT2 GAU2 7.438128 8.130275 Sc3 MAT3 GAU1 8.058422 8.06457 Sc4 MAT1 GAU2 8.179855 8.022071 Sc5 MAT3 GAU2 8.184033 8.191831 Sc6 MAT3 GAU2 7.50312 8.232425 Sc7 MAT1 GAU2 7.603291 8.200993 Sc8 MAT1 GAU1 8.221755 8.380097 Sc9 MAT3 GAU2 7.904908

uugh : i promise that this will be my last question of the day. i hate to constantly bother this group but it takes me time to get familar with all of these functions, tricks and and manipulations. i appreciate everyone's patience. i used too splus a lot but i've gotten rusty. i have a matrix of say 200 rows and 600 columns. i have a function "getprofit" that takes two series

Dear all, working with R under Linux, I am not able to install the ncdf-package. The following appears: install.packages("ncdf") Warnung in install.packages("ncdf") : argument 'lib' is missing: using '/user/silke/R/x86_64-unknown-linux-gnu-library/2.6' --- Please select a CRAN mirror for use in this session --- Loading Tcl/Tk interface ... done versuche URL

I'm new to R and have searched for help and consulted the the pdf manuals, but I can't seem to figure out how to plot more than one series on the same graph. I've tried using multiple par(new=TRUE) statements such as >plot(series1, ci.type="line", col="red", lwd=2, ci.lty=0, ci.col="red") >par(new=TRUE) >plot(series2, ci.type="line",

I've created a dataframe containing multiple ACF lists through the command rev.acf<-apply(rev.matrix, 2, acf, na.action=na.contiguous, lag.max=12, plot=FALSE) where rev.matrix is an n by t matrix containing n time series in columns. I'd now like to pull out only the ACF information and store it in a seperate n by 12 matrix. So far the only way I can work out to access this is

Hi you guys: I have been wondering if there is any way to change the labeling in plot.ts( ), for example , if I plot two sequences, i always got y labels as "series1", "series2", I tried to use ylab=c((expression(mu_1)),(expression(mu_2))), but it doesn't work. thanks in advance for any help best.

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

I am an R newbie, and I am facing what is for me a challenging problem. I am trying to write functions to solve the following problems. It seems as though R offers so many options I am not sure how to approach the problem. I have a data frame with dates in the first column and returns in the remaining columns. I would like to give a user a variety of options. I designate Series1 as the

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 (Geographical Information

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

Hello I will make an interpolation of data which represents azimuth direction ( angle from north in clockwise direction) values. But there is a problem. Say, for instance, while 1 and 359 indicate somewhat same direction, interpolation puts values in the range from 1 to 359. What can I do to solve the problem ? Anything you offer ? thanks in advance Ahmet Temiz General Directory of

Could someone point me to documentation that provides a succinct and accurate description of the difference between interpolation using #{}, single quotes, and double quotes ? I imagine there''s a set of precedence rules that govern behavior if/when they''re mixed. I''d like to get clear on this. Thanks, Bill -------------- next part -------------- An HTML attachment was

Hi, I have a sparse matrix.I want to fill values into the entries whose value is 0.The new generated values should come from the interpolation of the values have existed.Does R provide such interpolation functions which operate on Matrix, for example ,such a matrix below 0 0 0 0 2.3 0 0 0 0 0 0 3.1 0 0 0 0 1.4 0 0 0 0 0 0 0 0 0 0 1.1 0 0 0 0 0 0 0 0 0 0 0 4

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 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: