similar to: One critical question in R

Hi guys, I need your help!! My goal is to make a csv file from ncdf file. This is the code i've used : > hyo=open.ncdf("C:/CRUTEM3.nc") > hyo [1] "file C:/CRUTEM3.nc has 4 dimensions:" [1] "longitude Size: 72" [1] "latitude Size: 36" [1] "unspecified Size: 1" [1] "t Size: 1916" [1] "------------------------"

Dear R-list I'm on my way to start a new project on a rather big panel, consisting of approximately 8 million observations in 30 waves of data and about 15 variables. I have a similar data set that is approximately 7 gigabytes in size. Until now I have done my data management in SAS, and Stata, mostly identifying spells, counting events in intervals, and a like, but I would like to

Hi guys, I have a very simple question. I'm trying to make multiple columns to a single column. For example, *ttx1* is a 46*72 matrix. so, I tried this. *d1=ttx1[,1] d2=ttx1[,2] ... d72=ttx1[,72]* now, d1, d2, ...,d72 become a 46*1 matrix. And then.. I tried.. *dd=rbind(d1, d2, ..., d72)* I thought *dd* should be 3312*1 matrix; but it becomes 72*46. I really wanted to make it a single

Hi guys, I need your help. I'm trying to sort the data by the variable "obs". This is how I tried to sort the data below. The problem is, I have a variable name "obs"; this is.. a counter variable. something like _n_ in SAS. I do not know why it is not working. I even tried a similar example in UCLA webpage: http://www.ats.ucla.edu/stat/R/faq/sort.htm :it also does not

Dear Developers: I have a question about memory management in R 2.2.1 and am wondering if you would be kind enough to help me understand what is going on. (It has been a few years since I have done software development on Windows, so I apologize in advance if these are easy questions.) ------------- MY SYSTEM ------------- I am currently using R (version 2.2.1) on a PC running Windows 2000

Hello all - I am sorry if this simple question is addressed in somewhere else. But, I couldn't find it. It's been for about a week using R. . . My problem is: Reading matrix data with "scan" does not seem to allow me to incorporate matrix labels (columns, and rows). If I use read.table, I can import the lables. But, the problem is, I don't know how I make this data as

Hi guys, I need your help. I would like to select a subset from a dataset. This is the dimension of the dataset. > dim(data1) [1] 72 36 1916 so, it's like.. there are 1916 of 72 * 36 matrix. ==> looks like 72 * ( 36*1916 ) ** *1)* And I would like to select the first 72*36 matrix. This is how I did: > two=data1[,1:36] Error in data1[, 1:36] : incorrect number of dimensions

Hello R-helpers.. I want to ask about how I can sample data sets without having the infinite numbers coming out. For example, set.seed(1234) a<-rnorm(15,0,1) b<-rnorm(15,0,1) c<-rnorm(15,0,1) d<-rnorm(15,0,36) After come out with the sample, I need to do a transformation (by Hoaglin, 1985) for each data set. Actually I need to measure the skewness and kurtosis, that's why I

I am trying to add the bigmemory packages but I get the following error message: In file included from bigmemory.cpp:14:0: ../inst/include/bigmemory/isna.hpp: In function 'bool neginf(double)': ../inst/include/bigmemory/isna.hpp:22:57: error: 'isinf' was not declared in this scope make: *** [bigmemory.o] Error 1 ERROR: compilation failed for package 'bigmemory' * removing

Hello All, I tried to intall the bigmemory package from a CRAN mirror site and received the following output while installing. Any idea what's going on and how to fix it? The system details are provided below. --------------------- begin error messages ----------------------- * installing *source* package 'bigmemory' ... checking for Sun Studio compiler...no checking for

Dear helpers, Does anyone have information on the status of bigmemory and R3.0? Will it just take time for the devs to re-code for the new environment? Or is there an alternative for this new version? Thanks Ben Caldwell [[alternative HTML version deleted]]

Hi, I am trying to run the bigmemory example provided on the http://www.bigmemory.org/ The example runs on the "airline data" and generates summary of the csv files:- library(bigmemory) library(biganalytics) x <- read.big.matrix("2005.csv", type="integer", header=TRUE, backingfile="airline.bin", descriptorfile="airline.desc",

Hi, I am sorry to be asking this but the wiki is down and has been for a couple of days and I need to get this working before Monday to get my live system setup. Trying to get the Snom 190's and soon to arrive 3com 3102's to use the function keys and for the life of me I can't work it out from the conversations on the archive what I am going exactly wrong here? The snom 190 with

Hi, I'm playing around with the 'bigmemory' package, and I have finally managed to create some really big matrices. However, only now I realize that there may not be functions made for what I want to do with the matrices... I would like to perform a cluster analysis based on a big.matrix. Googling around I have found indications that a certain kmeans.big.matrix() function should

My long-promised Rdsm package is now on CRAN. Some of you may recall that I made a prototype available on my own Web page last July. This is the official version, much evolved since I released the prototype. The CRAN description states: Provides a threads-like programming environment for R, usable both on a multicore machine and across a network of multiple machines. The package

Dear R list Would anyone be able to tell me whether it is possible to do "enhanced multidimensional scaling" (enhanced MDS) in R? In other words, something that goes beyond "cmdscale" by iteratively improving the fit between observed dissimilarities and inter-object distances, using the KYST algorithm (Kruskal, 1964). I have found several implementations of non-metric MDS

Hello r helpers! Below is the whole coding for my programme. Before proceed more further, let me explain for you. First of all, I need to compute trimmed mean. Till that step is ok. Then I need to compute ssdw which is sum of square deviation. If I do equal trimming at both tail of distribution that I chose, I will use the first ssd formulae which is "a". But if I am doing unequal

I work with problems that have rather large data requirements -- typically a bunch of multigig arrays. Given how generous R is with using memory, the only way for me to work with R has been to use bigmatrices from bigmemory package. One thing that is missing a bit is interoperability of bigmatrices with C++ and possibly java. What i mean by that is API that would allow read and write filebacked

Hi..... I am new to this software, and I want to implement a client (SIP or IAX) with PHP or at least to pass the main functions (connection,call, transfer, hangup, call id etc) to a CRM. Does anyone know if I could achive a project like that with AGI ? Any example using AGI with PHP ? Do I have all the functionality with AGI ? What about call id ? What is depend on ? (As I know * does not

Hi, Is it possible for me to read data from shared memory created by a vc++ program into R using bigmemory? [[alternative HTML version deleted]]