similar to: How to extract the coefficients from the model

Hello folks, I am very excited to have discovered R and have been exploring its capabilities. R's regression models are of great interest to me as my company is in the business of running thousands of linear regressions on large datasets. I am using biglm to run linear regressions on datasets that are as large as several GB's. I have been pleasantly surprised that biglm runs the

Dear R-help This is a follow-up to my previous post here: http://groups.google.com/group/r-help-archive/browse_thread/thread/d9b6f87ce06a9fb7/e9be30a4688f239c?lnk=gst&q=dobomode#e9be30a4688f239c I am working on developing an open-source automated system for running batch-regressions on very large datasets. In my previous post, I posed the question of obtaining VIF's from the output of

Full_Name: Georgi Boshnakov Version: 2.10.1pat OS: Windows XP Submission from: (NULL) (130.88.123.205) When calling programmatically function curve() from package:graphics I experienced some trouble since it reports stop("'expr' must be a function or an expression containing 'x'") even if expr is "expression". Naturally, the user message uses

On Fri, 5 Aug 2016, Winston Chang wrote: > My understanding is that R will not make copies of lists if there is > only one reference to the object. However, I've encountered a case > where R does make copies, even though (I think) there should be only > one reference to the object. I hope that someone could shed some light > on why this is happening. > > I'll start

Hi Kylie, For your question, I don't think a wrapper can completely solve your problem. The duplication occurs since your variable y has more than 1 reference number( Please see highlighted), so even you have a wrapper, any changes on the value of the wrapper still can trigger the duplication. > .Internal(inspect(y)) > @7fb0ce78c0f0 13 INTSXP g0c0 *[NAM(7)]* matter vector (mode=3,

Hi, I would like to know if it's ok to use .Internal(inspect(x)) in order to detect vector copying. Take for example the following silly code: f <- function() { x = seq(10) print(.Internal(inspect(x))) for(i in seq(10)) { x[i] <- x[i] + 1 print(.Internal(inspect(x))) } } The output of f() was: @bd7acf0 13 INTSXP g0c4 [NAM(1)] (len=10, tl=0) 1,2,3,4,5,... [1] 1 2

Hi all, Take this simple script, which I'm trying to use to understand when modification in-place occurs, and when a new object is created: message("Global") x <- 1:3 .Internal(inspect(x)) x[2] <- 1L .Internal(inspect(x)) message("In function") (function() { x <- 1:3 .Internal(inspect(x)) x[2] <- 1L .Internal(inspect(x)) })() If I run it from the

Dear list, I have problem that I cannot solve and would like to ask your opinion. I tried to ask a few days ago already but got no answer and all my attempts to solve it by myself since then failed. Sorry for repeated posting! Here the problem broken down a bit. My problem basically is, that I want to use the elements of a character vector as names for objects and by recalling only the

Hi there, we are looking for a research assistant for a project on analysing timeseries in the field of educational research. We have timeseries of the subjective perception (I understand, I feel good, I am interested etc.) of 109 students (6 different courses, 26 to 72 hours of classroom teaching, 208 to 332 points of measurement). We want to do exemplary analysis of the interaction

Hi, I expected NAMED to be 1 in all these three cases. It is for one of them, but not the other two? > R --vanilla R version 2.14.0 (2011-10-31) Platform: i386-pc-mingw32/i386 (32-bit) > x = 1L > .Internal(inspect(x)) # why NAM(2)? expected NAM(1) @2514aa0 13 INTSXP g0c1 [NAM(2)] (len=1, tl=0) 1 > y = 1:10 > .Internal(inspect(y)) # NAM(1) as expected but why different to x?

Hi all, I have problems in a dataframe variables types. Look: from a loop function: for(...){ ... dados.fin <- rbind(dados.fin, c(L=j, A=j^2, Nsp=nsps, N=length(amosfin$SP), AmT="am",NAm=nam, AMST=amst)) dados.fin <- rbind(dados.fin, c(L=j, A=j^2,

Hi All? I was looking at a posting from June-17. I managed to solve it. However, when I changed the example in the posting, my solution will work only once at a time which was mentioned by Jim Lemon on his response to the original posting. This means that my solution will have to be repeated as many times as the maximum number of spaces on each gap; something that may not work well for large

Hi Lille, Is it possible you're looking for tracemem() or inspect() ? > x <- data.frame(z = 1:10)> tracemem(x)[1] "<0x55aa743e0bc0>" > x[1] <- 2Ltracemem[0x55aa743e0bc0 -> 0x55aa778f6ad0]: tracemem[0x55aa778f6ad0 -> 0x55aa778f6868]: [<-.data.frame [<- tracemem[0x55aa778f6868 -> 0x55aa778f5b48]: [<-.data.frame [<- >

I have a vaiable named NAM having value : 1,2,3,4,5,6,7,8,9. I want to make an indicator variable that will take value 1 if NAM=7 or NAM=8 or NAM=9. How can I do that? I usually do: Var001<- ifelse(NAM==7,1,0) for the simplest case. [[alternative HTML version deleted]]

Hi! Like to write quite a lot (ca 100) of objects from my envirovment with save. The names of the objects are in a list nam. nam<-dir() nam<-grep("E",nam,value=T) length(nam) 20 for(x in nam) { #reads the objects and assigns the names. assign(x,simFromEmboss(Simmatrix(),x)) nnam<-paste(x,".rda",sep="") print(nnam) save(x,file=nnam) } I knew that

Hi there, When I run the following code, I could get correct objects (with correct values): for(i in 1:6) { #-- Create objects 'r.1', 'r.2', ... 'r.6' -- nam <- paste("r",i, sep=".") assign(nam, 1:i) # save(nam, file = paste(nam, "RData", sep = ".")) } I hope to save the object 'r.1',

This is intended to be a bug report with proposed patch. I am posting to this mailing list as described in NOTE in "Bug Reporting in R". Function `stats:::regularize.values()` is meant to preprocess `x` and `y` arguments to have "proper" values for later use during interpolation. If input is already "proper", I would expect it to reuse the same objects without

This is intended to be a bug report with proposed patch. I am posting to this mailing list as described in NOTE in "Bug Reporting in R". Function `stats:::regularize.values()` is meant to preprocess `x` and `y` arguments to have "proper" values for later use during interpolation. If input is already "proper", I would expect it to reuse the same objects without

Hello, I?m experimenting with ALTREP and was wondering if there is a preferred way to create an ALTREP wrapper vector without using .Internal(wrap_meta(?)), which R CMD check doesn?t like since it uses an .Internal() function. I was trying to create a factor that used an ALTREP integer, but attempting to set the class and levels attributes always ended up duplicating and materializing the

>>>>> Travers Ching >>>>> on Tue, 15 Jan 2019 12:50:45 -0800 writes: > I have a toy alt-rep string package that generates > randomly seeded strings. example: library(altstringisode) > x <- altrandomStrings(1e8) head(x) [1] > "2PN0bdwPY7CA8M06zVKEkhHgZVgtV1" > "5PN2qmWqBlQ9wQj99nsQzldVI5ZuGX" ... etc