search for: 1535mb

...00000.csv': No such file or directory > data=3Dread.csv("data300000.csv",header=3DFALSE) > partial=3Dsample(data,5000,T) Error: cannot allocate vector of size 2.3 Mb In addition: Warning messages: 1: In names(y) <- make.unique(cols) : Reached total allocation of 1535Mb: see help(memory.size) 2: In names(y) <- make.unique(cols) : Reached total allocation of 1535Mb: see help(memory.size) 3: In names(y) <- make.unique(cols) : Reached total allocation of 1535Mb: see help(memory.size) 4: In names(y) <- make.unique(cols) : Reached total alloc...

...file or directory > > data=3Dread.csv("data300000.csv",header=3DFALSE) > > partial=3Dsample(data,5000,T) > Error: cannot allocate vector of size 2.3 Mb > In addition: Warning messages: > 1: In names(y) <- make.unique(cols) : > Reached total allocation of 1535Mb: see help(memory.size) > 2: In names(y) <- make.unique(cols) : > Reached total allocation of 1535Mb: see help(memory.size) > 3: In names(y) <- make.unique(cols) : > Reached total allocation of 1535Mb: see help(memory.size) > 4: In names(y) <- make.unique(cols) : &gt...

...d any way out for my own problem. Here I am having Memory allocation problem while generating a lot of random number. Here is my description: > rnorm(50000*6000) Error: cannot allocate vector of size 2.2 Gb In addition: Warning messages: 1: In rnorm(50000 * 6000) : Reached total allocation of 1535Mb: see help(memory.size) 2: In rnorm(50000 * 6000) : Reached total allocation of 1535Mb: see help(memory.size) 3: In rnorm(50000 * 6000) : Reached total allocation of 1535Mb: see help(memory.size) 4: In rnorm(50000 * 6000) : Reached total allocation of 1535Mb: see help(memory.size) > memory....

Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 3: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 4: In class(data) <- "data.frame" : Reached...

Hi all, I am getting the following error message: > mymodel = glm(response ~ . , family=binomial, data=C); Error: cannot allocate vector of size 734.2 Mb In addition: Warning messages: 1: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 2: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 3: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 4: In array(0, c(n, n), list(levs, levs)) : Reached total allocati...

...rames merged by 'Marker', but when i try > SNP5 <- merge(SNP4, SNP1, by = 'Marker', all = TRUE) Error: cannot allocate vector of size 2.4 Gb In addition: Warning messages: 1: In merge.data.frame(SNP4, SNP1, by = "Marker", all = TRUE) : Reached total allocation of 1535Mb: see help(memory.size) 2: In merge.data.frame(SNP4, SNP1, by = "Marker", all = TRUE) : Reached total allocation of 1535Mb: see help(memory.size) 3: In merge.data.frame(SNP4, SNP1, by = "Marker", all = TRUE) : Reached total allocation of 1535Mb: see help(memory.size) 4: In me...

...le is about 700MB. Here's my first try: > DD<-read.table("01uklicsam-20070301.dat",header=TRUE) Error: cannot allocate vector of size 15.6 Mb In addition: Warning messages: 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 2: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 3: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, : Reached total allocation of 1535Mb: see help(memory.size) 4: In...

...following loop: for(i in 1:835353){ for(j in 1:86){ if (is.na(dat[i,j])==TRUE){dat[i,j]<-0 }}} Actually I am also having a memory problem. I get the following: Error: cannot allocate vector of size 3.2 Mb In addition: Warning messages: 1: In dat[i, j] <- 0 : Reached total allocation of 1535Mb: see help(memory.size) 2: In dat[i, j] <- 0 : Reached total allocation of 1535Mb: see help(memory.size) 3: In dat[i, j] <- 0 : Reached total allocation of 1535Mb: see help(memory.size) 4: In dat[i, j] <- 0 : Reached total allocation of 1535Mb: see help(memory.size) If I try and appl...

...ugh I know that the R function is adonis () (vegan package), it does not work: adonis(Pha.env~SPha, data=Pha, permutations=10) The error message: Error: cannot allocate vector of size 334.2 Mb In addition: Warning messages: 1: In vegdist(lhs, method = method, ...) : Reached total allocation of 1535Mb: see help(memory.size) 2: In vegdist(lhs, method = method, ...) : Reached total allocation of 1535Mb: see help(memory.size) 3: In vegdist(lhs, method = method, ...) : Reached total allocation of 1535Mb: see help(memory.size) 4: In vegdist(lhs, method = method, ...) : Reached total allocation...

....fac, nx)), orep) : NAs introduced by coercion However if I put a small number like 12 in place of 40, it is working fine. A moderately bigger number than 10 like 30 give a memory related error : > temp <- expand.grid(rep(list(c(1,0)),20)) Warning messages: 1: Reached total allocation of 1535Mb: see help(memory.size) 2: Reached total allocation of 1535Mb: see help(memory.size) 3: In attributes(.Data) <- c(attributes(.Data), attrib) : Reached total allocation of 1535Mb: see help(memory.size) 4: In attributes(.Data) <- c(attributes(.Data), attrib) : Reached total allocation of 1...

...1)),positive1=rep(1,length(chemo1)),size1=rep(mean(size1),length(chemo1))   ))) plot(profilbig2,col="blue") and I get the following error: Error: cannot allocate vector of size 1.5 Gb In addition: Warning messages: 1: In vector("double", length) :   Reached total allocation of 1535Mb: see help(memory.size) 2: In vector("double", length) :   Reached total allocation of 1535Mb: see help(memory.size) 3: In vector("double", length) :   Reached total allocation of 1535Mb: see help(memory.size) 4: In vector("double", length) :   Reached total allocation...

...o Rd files in "d:/temp/fakepack/man", ... # ...deleted "d:/temp/help/temp*", and tried again test> tools:::.install_package_Rd_objects( 'd:/temp/fakepack', 'd:/temp') test> tools:::fetchRdDB( 'd:/temp/help/temp') Warning: Reached total allocation of 1535Mb: see help(memory.size) Warning: Reached total allocation of 1535Mb: see help(memory.size) Warning: Reached total allocation of 1535Mb: see help(memory.size) Warning: Reached total allocation of 1535Mb: see help(memory.size) Error: cannot allocate vector of size 1.9 Gb # Or on other occasions I get...

...<- reshape(tbl, direction = "wide", idvar = c("ID", "DATE1", "DATE2"), timevar = "VALUE_TYPE"); Error: cannot allocate vector of size 53.9 Mb In addition: Warning messages: 1: In format.POSIXlt(as.POSIXlt(x), ...) : Reached total allocation of 1535Mb: see help(memory.size) 2: In format.POSIXlt(as.POSIXlt(x), ...) : Reached total allocation of 1535Mb: see help(memory.size) 3: In format.POSIXlt(as.POSIXlt(x), ...) : Reached total allocation of 1535Mb: see help(memory.size) 4: In format.POSIXlt(as.POSIXlt(x), ...) : Reached total allocation...

...} else { ev <- ev * sqrt(vcount(graph)/sum((ev)^2)) }* * ev[as.numeric(nodes) + 1] }* ** I realised that the error is in Matrix Package *Error: cannot allocate vector of size 3.3 Gb In addition: Warning messages: 1: In solve(id - exponent * d, tol = tol) : Reached total allocation of 1535Mb: see help(memory.size) 2: In solve(id - exponent * d, tol = tol) : Reached total allocation of 1535Mb: see help(memory.size) 3: In solve(id - exponent * d, tol = tol) : Reached total allocation of 1535Mb: see help(memory.size) 4: In solve(id - exponent * d, tol = tol) : Reached total allocati...

...3.0\\Cloud\\cru_ts_3_00.1901.2006.cld.dat", : duplicate 'row.names' are not allowed In addition: There were 45 warnings (use warnings() to see them) >warnings() 1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, ... : Reached total allocation of 1535Mb: see help(memory.size) X 25 26: In type.convert(data[[i]], as.is = as.is[i], dec = dec, ... : Reached total allocation of 1535Mb: see help(memory.size) -- Carson Baughman Cell: (406) 360-9254 University of Alaska Fairbanks Scenarios Network for Alaska Planning [[alternati...

Greetings useRs, Can anyone provide an example how to use ff to feed a very large data frame to glm? The data.frame cannot be loaded in R using conventional read.csv as it is too big. glm(...,data=ff.file) ?? Thank you Stephen B

Hi all, I'm getting the following warnings inside a loop: Warning messages: 1: In calc.measures(g, 1, i) : Reached total allocation of 1535Mb: see help(memory.size) 2: In calc.measures(g, 1, i) : Reached total allocation of 1535Mb: see help(memory.size) Usually, when I see these warnings, they are accompanied with an error message (Error: cannot allocate ...), but not in this case. I'm wondering how to react. I've tried add...

Hello All, I have been trying to do bonpow for a while now.Bonpow works for few graphs and for few others it goes out of memory. I did see reply to one of the posting Alph Centrality Crashed in Igraph memory error. The solution in the posting was to use sparse matrix. This is the link of the message. http://lists.gnu.org/archive/html/igraph-help/2008-04/msg00071.html I was able to obtain

I was trying to plot some data in R. I used the following code to draw a loess fit and got the output as >?lines(lowess(log(abs(t(res))), log(abs(t(synthesised)))), col="red") Error in lowess(log(abs(t(res))), log(abs(t(synthesised)))) :?? NA/NaN/Inf in foreign function call (arg 1) Then I thought to use your Limma package for background correction. Do you think it's a right

Dear R users, I am running lmer() and having memory problem: "reached total allocation of 1535Mb". The lmer() function was successful (no errors or warnings). However when I do "summary(fit.lmer), I got this "Error: cannot allocate vector of size 19.5 Mb). I used memory.size() and got 1880. I used memory.limit(2500) to increase the memory size to 2500Mb, however I still get the...