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Sorry for re-posting the question, I did not get any reply. Kindly reply please if any one can. ### Hello R users, I have a montly time series over a several year period. It's easy to compute a monthly climatology (12 values), Now, I would like to calculate the corresponding standard deviation, ie the 12 values calculated from the january values, february values, etc. What's the best way

I have an irregular time series, which cannot easily be converted to a ts object (long stretches with NA). I have calculated the climatological mean and st.dev, but need help on how to calculate the anomalies from the climatology and my original data set. Below is an example, where I have indicated the basic idea of what I want to do under Question 1 and 2. I assume I will have to create a custom function or use one of the apply functio...

Hello R users, I have a montly time series over a several year period. It's easy to compute a monthly climatology (12 values), Now, I would like to calculate the corresponding standard deviation, ie the 12 values calculated from the january values, february values, etc. What's the best way for such a calculation ? Regards, Yogesh -- Yogesh K. Tiwari (Dr.rer.nat), Scientist, Indian

Hi all, My question is not really urgent. I can write a loop and solve the problem. But I know that I'll be in a similar situation many more times so it would be useful to find out the answer Is there a fast way to perform linear fit to all the columns of a matrix? (or in the one dimension of a multi-dimensional array.) I'm talking about many single linear fits, not about a multiple fit.

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Hi there In the course of my diploma thesis in climatology I have encountered a difficult R-Problem that I cannot solve. I want to fill R-Objects (whose names should depend on j) with numbers at the i-th position. The resulting Objects should be something like: RQuadratStep1, RQuadratStep2, RQuadratStep3 ... filled with Elements like c(0.324, 0.456, 0.657 ...) Below is a short version of

Dear R list members, I am seeking for an elegant way for matching NA elements of a matrix. Everthing I tried, the result was a vector. Here ist an example with vectors that works: a and b are vectors of same lenght representing pairs of data (a[i] b[i]) with some NA elements: ## R Code a <- (1:5) a[2] <- NA b <- (6:10) b[3] <- NA a 1 NA 3 4 5 b 6 7 NA 9 10 ## /R

Hi everyone I have a matrix (let's say that it contains the values of elevation) and want to plot its values on a map using a function such as image.plot or filled.contour. The problem is that my grid is not rectilinear, it is bended. Here is an example lon<-matrix(0,20,25) lat<-matrix(0,20,25) elev<-matrix(0,20,25) for (i in 1:20) { for (j in 1:25) {

Dear List, I am struggling with the trellis graphic. A similar problem was mentioned here: http://r.789695.n4.nabble.com/R-How-can-you-get-N-replicates-of-a-multi-screen-multivariate-time-series-plot-td811850.html I do have 2 time series data sets. The 2 time series differ in some orders of magnitude. I managed to plot them into 1 graph, but, since the data is that different, on of the data

Dear all I use the library(netCDF) to read in NCEP data. The file I want to read has size 113 Mb. When i try to read it I get the following message: Error: cannot allocate vector of size 221080 Kb In addition: Warning message: Reached total allocation of 255Mb: see help(memory.size) I get a similar message when I try to read a file with 256 Mb in a PC with 2 GigaByte RAM. Is there something

Dear R-users I would like to draw a barplot with a special y-axis. Most of my data points are in the range from -50 to 50, apart from one value that is 550. I would now like to have a y-axis from -50 to 50, then a "break" and the "rest" of the y-axis, let's say from 500 to 600. In order to make clear what I'm trying to do, I attached a figure. Is it possible to do

Dear all, I have in my possession a netcdf from which I want to extract some data files. I have used the "ncdf" package to read the netcdf file and used the "get.var.ncdf" function to identify the variable i wish to use. The data is in the form of a time-series of geographical data points that relate to climatology variables. As such I have a large data frame,

I have a data set something like this: "YYYY", "Value" 1972 , 117 1984 , 73 1969 , 92 1976 , 113 1999 , 80 1996 , 78 1976 , 98 1984 , 106 1976 , 99 it could be created with: > dafSamp <- data.frame(cbind(c(1972,1984,1969,1976,1999,1996,1976,1984,1976),c(117,73,92,113,80,78,98,106,99))) The real dataset is of cause much larger, app. 100.000 samples

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Hi there, perl6 offers with the NativeCall package a great tool to implement other languages into perl scripts. This has already been done with python, C(++) and perl5. For my use cases - lots of data munging and statistical analyses (climatology/meteorology) - it would be perfect to parse data and call/run models from perl6 and then to do plotting and analyses in R. I saw R does have some

Dear all, I would like to announce the availability of a new package on CRAN: RNetCDF: R Interface to NetCDF Datasets This package provides an interface to Unidata's NetCDF library functions (version 3) and furthermore access to Unidata's udunits calendar conversions. The routines and the documentation follow the NetCDF and udunits C interface, so the corresponding manuals can be

Dear Sir I have successfuly downloaded R package. Kindly let me know where i will get _/*user mannual*/_ for the same. awaiting a prompt reply with regards Pankaj @#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@#@ Pankaj Kumar Research Scholar Climatology & Hydrometeorology Divison Indian Institute Of Tropical Meteorology Homi Bhabha Road, Pune-411008 India Phone No. +91-20-5893600 Ext. 361

Dear all I use the gls function but in contrast to the lm function in which when I type summary(lm(...))$coef I receive all the coefficients (estimate, Std. Error, t-value and pvalue), with gls when I type summary(gls(...))$coef I only receive the estimate of the reg. coefficient without std. error and t- and p-values. Dou you have any suggestion how to solve my problem? With kind regards

Dear all I have a big matrix of standardized values (dimensions 285x5829) and R fails to calculate the principal components using prcomp() with the following error message: pc <- prcomp(my.matrix) Error in La.svd(x, nu, nv, method) : error code 1 from Lapack routine dgesdd Is the matrix too big? I'm using R-1.8.1 under Unix (Solaris8) and Linux(Suse 8.2). I tried to perform a principal

hi, i'm working with mgcv packages and specially gam. My exemple is: >test<-gam(B~s(pred1)+s(pred2)) >plot(test,pages=1) when ploting test, you can view pred1 vs s(pred1, edf[1] ) & pred2 vs s(pred2, edf[2] ) I would like to know if there is a way to access to those terms (s(pred1) & s(pred2)). Does someone know how? the purpose is to access to equation of smooths terms