similar to: Error: cannot allocate vector of size 1.2 Gb

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Dear List, I'm having problem with an exercise from The R book (M.J. Crawley) on page 567. Here is the entire code upto the point where I get an error. data(UCBAdmissions) x <- aperm(UCBAdmissions, c(2, 1, 3)) names(dimnames(x)) <- c("Sex", "Admit?", "Department") ftable(x) fourfoldplot(x, margin = 2) dept<-gl(6,4) sex<-gl(2,1,24)

Hi List, I'm having problems installing certain packages. When I try to install fields, I get the output below. I have highlighted the what I perceive as the first error (spam seems to be a dependency of fields). Can I assume this is causing dependency problems for fields, which fails to install at the end, or is there a deeper problem? I run Ubuntu Karmic Koala on R 2.9.2. 2>

Dear R-Help subsribers, upon running into a wonderful ggplot2 package by accident, I abruptly encountered another problem. Almost every command run with ggplot2 results in some sort of error. The one below is far the most common one. Kind people from ggplot2 mailing list couldn't manage to solve the problem, so I'm re-posting it here to try my luck. I will recommend myself for any tips

Dear all, while preparing some exercises I came across some highly surprising behaviour of file.exists(). The specific value "prn.us.txt" always returns TRUE, even though that file is nowhere to be found on my system. In a fresh R session 3.4.4 installed on Windows 10: > grep("prn.us.txt", dir(recursive = TRUE)) integer(0) > file.exists("prn.us.txt") [1] TRUE

Thank you. I was just replying my own message with the same information. Sorry for not doing the research properly before filing. Cheers Joris On Sat, Mar 24, 2018 at 11:36 AM, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > On 24/03/2018 6:16 AM, Joris Meys wrote: > >> Dear all, >> >> while preparing some exercises I came across some highly surprising

Hello, I'm creating a loop to work with vegan, to get a species abundance curve. Here I send the script I've created and also an excel file to prove what it can do. Well, I have a database with 20 years, and each year we have sampled 19 stratum, and in each estratum we have carry out some sumpling. Then, with the script that I've sent I've got to calculate the species abundance

dear R-friends, i`ve got a large dataset of vegetation-samples with about 500 variables(=species) in the following format: 1 spec1 1 spec23 1 spec54 1 spec63 2 spec1 2 spec2 2 spec253 2 spec300 2 spec423 3 spec20 3 spec88 3 spec121 3 spec200 3 spec450 . . this means: sample 1 (grassland) with the species (=spec) 1, 23, 54, 63 is it possible to get a following data-structure for further

Hi List, I’m using the vegan function specaccum to produce a rarefaction curve. In the function’s help it says: “Function ‘specaccum’ finds species accumulation curves or the number of species for a certain number of sampled sites or individuals”. Well, I would like to finds this curve for individuals, but when I compute it the function (using the ‘rarefaction’ method) gives me Sites, Richness

Dear list members, I have a data.frame so shaped: Sector Quadrants Plot Sic Time Species1 Species2 Species3 .. Species-n 1 1 1 1 5 0 0 1 . 0 2 1 1 1 12 1 1 1 . 0 3 1 1 1 34 0 1 0 . 0 4 1 1 1 23 1 1 0 . 0 5 2 1 1 22 1 1 1 . 1 6 2 1 1 10 1 1 1 . 1 7 2 1 1 2 1 0 0 . 0 8 2 1 1 2 0 0 1 . 0 9 3 1 1 12 0 0 0 . 1 . . . . . . . . . .

Hello, I have a data set with 9700 records, and 7 parameters. The data were collected for a survey of forest communities. Sample plots (1009) and species (139) are included in this data set. I need to determine how species are accumulated as new plots are considered. Basically, I want to develop a species area curve. I've included the first 20 records from the data set. Point

Hi there, I run the following code in R and got the warning like that, how can I change the memory.size? Or anything else? Thanks a lot! Faye temp<-apply(Idd4.perms$permstats[-stratum1,], + 2,sort) Error: cannot allocate vector of size 47.5 Mb In addition: Warning messages: 1: In apply(Idd4.perms$permstats[-stratum1, ], 2, sort) : Reached total allocation of 1023Mb: see help(memory.size)

Hi, I am having trouble of exporting a large data frame out of R to be used in other purpose. The data frame is numeric with size 17000x400. It takes a quite some time to start R as well. my computer has 1GB RAM. I used the following command to write the data frame to a text file and got the error message below: > write.table(xxx, "C:\\xxx", sep="\t",

I have been searching all day & most of last night, but can't find any benchmarking or recommendations regarding R system requirements for very large (2-5GB) data sets to help guide our hardware configuration. If anybody has experience with this they're willing to share or could anybody point me in a direction that might be productive to research, it would be much appreciated.

HI Utpal, Alight, I will look into it.? I was under the impression that this is what you wanted: dat1<- structure(list(V1 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L), V2 = c(1L, 1L, 1L, 1L, 1L, 1L, 0L), V3 = c(1L, 1L, 1L, 1L, 1L, 1L, 1L), ??? V4 = c(1L, 1L, 0L, 1L, 1L, 1L, 1L), V5 = c(1L, 1L, 1L, 1L, ??? 1L, 0L, 1L), V6 = c(1L, 1L, 1L, 0L, 1L, 1L, 1L), V7 = c(1L, ??? 1L, 1L, 1L, 1L, 1L, 1L), V8 = c(1L,

On 24/03/2018 6:16 AM, Joris Meys wrote: > Dear all, > > while preparing some exercises I came across some highly surprising > behaviour of file.exists(). The specific value "prn.us.txt" always returns > TRUE, even though that file is nowhere to be found on my system. That's a Windows "bug", not an R bug. Any name starting "prn" (upper or

Hi, An APIC error continues happening. __ __ _ _ _ _ _ _ \ \/ /___ _ __ | || | / | _ _ _ __ ___| |_ __ _| |__ | | ___ \ // _ \ ''_ \ | || |_ | |__| | | | ''_ \/ __| __/ _` | ''_ \| |/ _ \ / \ __/ | | | |__ _|| |__| |_| | | | \__ \ || (_| | |_) | | __/ /_/\_\___|_| |_| |_|(_)_| \__,_|_|

Folks, we work on optimization of binary size and improvement of debug info quality. To reduce the size of the binary we use -ffunction-sections so that unused code would be garbage collected. When the linker does garbage collection, a lot of abandoned debug info is left behind. Besides inflated debug info size, we ended up with overlapping address ranges and no way to say valid vs garbage

Dear Aaron, I am really a tool user and not a tool maker (actually an ecologist doing some biostatistics)... so, I take the liberty of sending a copy of this e-mail to the r-help list where capable computer persons and true statisticians may provide more relevant information and also to Paulo Ribeiro and Peter Diggle, the authors of geoR.. I really feel that your huge matrix cannot be

this is 6.0-STABLE as for Mar 17. KDB: debugger backends: ddb KDB: current backend: ddb Copyright (c) 1992-2006 The FreeBSD Project. Copyright (c) 1979, 1980, 1983, 1986, 1988, 1989, 1991, 1992, 1993, 1994 The Regents of the University of California. All rights reserved. FreeBSD 6.1-PRERELEASE #2: Fri Mar 17 11:05:32 UTC 2006 vlad@host:/usr/src/sys/amd64/compile/DEF_WEB Timecounter