similar to: Problem in executing R on server

I sent a post to find a clever way to compute a Rolling Average of columns in a matrix and I was given the solution below which I am very pleased with. RollingAverage <- function(x, RollingObs) { cx <- cumsum(x); N <- length(x); Temp <- (cx[RollingObs:N] - c(0, cx[1:(N-RollingObs)]))/RollingObs Output <- array(NA, N) Output[RollingObs:N] <- Temp; Output } The only

Dear R users, I have noticed that my R startup is extremely slow. It takes almost 3 minutes from "double-click" to R prompt. I have been running R-0.64.1 till recently and it took about 30 sec. I still have access to R-0.64.1. When I started it up, it took about 25 sec. Can anyone tell me if this is a bug in R or a problem with my machine? Note: This is after bootup with R being the

Dear R listers, I have developed a C function to be executed from R through the ".C" interface. After doing dyn.load, the function executes properly and I get the results. However, after executing my function, R seems to get unstable and crashes (giving a segmentation fault and exiting) whenever I try to do ANYTHING with a relatively large object (creating a new one or even just

Hi, I asked this question 2 years ago, and would like to know if the answer has changed. In S-Plus, I build databases of many large objects. In any given analysis, I only need a few of those objects, but attach'ing the whole database is fine since objects are only read as needed. How can I do the same thing in R, without reading the entire database? One possibility is to treat

Digital Alpha (various), Digital UNIX V4.0[EF], R-1.0.0, gcc, f77 When using batch mode with the save option, an error message is issued. However [I have just discovered that] it appears that the operation does complete, i.e. the .RData file is saved successfully. The main problem is that the return code is non-zero (and so it is impossible to distinguish this "non-error" from some

Dear R listers, I have developed a C function to be executed from R through the ".C" interface. After doing dyn.load, the function executes properly and I get the results. However, after executing my function, R seems to get unstable and crashes (giving a segmentation fault and exiting) whenever I try to do ANYTHING with a relatively large object (creating a new one or even just writing

Help! I accidentally saved my work as an .rdata format instead of .txt I need to somehow get it saved as a .txt file otherwise i'm really in trouble! Does anyone know how to convert .rdata to .txt files?? I also tried re-loading the file into R to see if i can re-save it but it doesnt work! i've attached it below... please help me asap! i need to turn it in as a .txt file Thanks

Greetings R-Listers, Using R1.2.1 (yes, I know...) I am writing my own functions and would like to know how save these for use in subsequent R sessions. How does one do this? Best, Bill Vedder -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or

In the particular application I have I save "test.Rdata" to a sub directory dir<-"Example" dir.create(dir) test<-data.frame(a=c(1,2,3),b=c(3,4,5) full<-file.path(dir,"test.Rdata,fsep=.Platform$file.sep) save(test,file=full) load(full) returns NULL it works fine when the object is saved to the working directory, but fails when saved to a sub directory. The Rdata

Hi I have a data table matrix,"data" which looks like below:- V1 V2 V3 1 -6382.719 -1096.554 6998994 2 -some values- 3 -some values- 4 -some values- 5 -some values- Querying dim of "data" gives me 3 columns and 5 rows. And currently I want to plot "V1" against "V2" with the condition that I want to mark(color) the point(row 5) on the

Dear listers, glmmPQL (package MASS) is given to work by repeated call to lme. In the classical outputs glmmPQL the Variance Structure is given as " fixed weights, Formula: ~invwt". The script shows that the function varFixed() is used, though the place where 'invwt' is defined remains unclear to me. I wonder if there is an easy way to specify another variance

OK. Lee primero los datos, guarda el data.frame (.RData o en un .csv o lo que quieras). Sal de RStudio o incluso reinicia el ordenador para liberar el máximo de memoria. Y comienza una nueva sesión con RStudio cargando los datos con "fread()". Por otro lado, este conjunto de datos ¿cómo es de grande (filas y columnas)?. ¿Y qué máquina tienes?. ¿Cuanta RAM tienes?. Gracias, Carlos.

I just installed the R 2.11.1 version on my computer and I encountered a fatal error: "Unable to restore saved data in .RData" and kick me out of R right away. I still can run 2.10.2. There is no package called "rattle" I checked various posts regarding this error. I still can't get it to work. I removed two files that had .rdata extension and still does not work.

hi! I must miss something really essential that the following doesnt work: I have a haml layout which includes the default javascripts, and the application.js looks like this: $("foobar").addClassName(''blue''); the view looks like this: <div id="foobar" class="green">testtest</div> if I navigate to the site, I get the error

Estimados Pienso que falta memoria, aparte de las sugerencias ya aportadas, de pronto se podrían colocar algunos rm(liberar_de_memoria), para no tener ocupado espacio que no es requerido porque ese paso ya fue realizado. Javier Rubén Marcuzzi El 6 de diciembre de 2017, 13:58, Antonio Rodriguez Andres < antoniorodriguezandres70 en gmail.com> escribió: > Carlos > He tecleado lo

Respected R experts, I am trying to apply a user function that basically calls and applies the R loess function from stat package over each time series. I have a large matrix of size 21 X 9000000 and I need to apply the loess for each column and hence I have implemented this separate user function that applies loess over each column and I am calling this function foo as follows:

Dear Listers, I've been a big fan of R since graduate school. After working in the industry for years, I haven't had many opportunities to use R and am mainly using SAS. However, I am still forcing myself really hard to stay close to R by reading R-help and books and writing R code by myself for fun. But by and by, I start realizing I have hard time to keep up with R and am afraid that I

Dear R listers -- The program below does the following tasks: 1. It creates a file (wintemp4) that is a subset of alldata4 consisting of "winner" records in 50 industry groups (about 5400 obs); 2. It defines a function (myppr1) that runs the ppr function in modreg once to generate goodness of fit (sum of squared errors) measures by number of terms included in model and then reruns

Hi, How to save an R object for example a matrix or vector and not all objects created in a session (which is usually performed by save.image or q("yes"))? Best, Carol [[alternative HTML version deleted]]

Dear Listers, Sorry for bothering you on Thxgiving. I am just curious how to build a saturated model for logistic regression or other kinds of regression. Thank you so much! wensui