similar to: Memory Problem

HI, I want to import 1.5G CSV file in R. But the following error comes: 'Victor allocation 12.4 size' How to read the large CSV file in R . Any one can help me? -- View this message in context: http://r.789695.n4.nabble.com/Large-Data-tp2254130p2254130.html Sent from the R help mailing list archive at Nabble.com.

Hi all, the release notes (docs/ReleaseNotes.rst) seem like it is mostly a holdover from 3.2, (the removal of CellSPU is in there though). Would anybody be opposed to me cleaning this out so that the actual changes from 3.3 are the only ones there? -- Sean Silva

On 6/8/2015 6:29 PM, Peter wrote: > You can thank Fedora for making that rather pointless change and > breaking that capability. that 'capability' was a holdover of the 1980s when disks were measured in megabytes, and memory in kilobytes, so large file systems were impractical. -- john r pierce, recycling bits in santa cruz

Hi, When I run the Aggregate function in repeat loop, I got the following error: Error in sort.list(unique.default(x), na.last = TRUE) : 'x' must be atomic for 'sort.list' Have you called 'sort' on a list? How to solve this error. Anyone can help me. Urgent. Thanks. Meenakshi. -- View this message in context:

I''m facing a situation where I am going to have to integrate with a legacy database , specifically the IBM UniVerse database, which is not *quite* relational. It feels like a holdover from the dark ages of computing. Before I attempt writing an ActiveRecord adapter, I''d like to know if anyone else uses this database and if I''m the only person that needs this thing. I

First of all, I''d like to do what I''ve seen several others here do: thank Ezra and any other contributors for producing a really great plugin. Even though I''m having some minor problems, this is all so approachable and easy to work with and dig into... I hate to think of the hoops you''d need to jump through (both as creator of such a system and as a user) to

Sorry if I'm repeating some of the other post questions but the answer wasn't quite clear as what I want to do. I'm using Ubuntu fully not dual boot. I have 4 drives. One is my main Ubuntu drive. Another drive (call it the D drive) is a holdover from windows that have photos and videos. The other two are backups. I want to access my D drive in Wine but I can't see it in

I am attempting to estimate a very complex glmmPQL model. I have (apparently) gotten working syntax. But, I don't want to wait a long time only to find I have not made the correct syntax to see the output. So, what I've written is: EXCERPT FROM COMMAND FILE: glmmPQL(plfp ~ -1 + bmrd4 + bmsd4 + wmrd4 + wmsd4 + bfrd4 + bfsd4 + wfrd4 + wfsd4 + y4yrsed + y4age + y4age2,

https://bugzilla.mindrot.org/show_bug.cgi?id=2681 Bug ID: 2681 Summary: postauth processes to log via monitor Product: Portable OpenSSH Version: 7.4p1 Hardware: Other OS: Linux Status: NEW Severity: enhancement Priority: P5 Component: sshd Assignee: unassigned-bugs at

Hello - I have a csv file with a few date columns. Some of the records have an "NA" character string instead of the date. When I attempt to use read.csv() and typecast the columns using colClasses, I receive the following error: Error in charToDate(x) : character string is not in a standard unambiguous format Similarly, the following command produces the same error:

Hi, I'm fairly new to R but I have a large dataset (300000 obs) containing patient material. Some patients came 2-9 times during the three year observation period. The patients are identified by a unique idnr, the sessions can be distinguished using the session date. How can I recode the date of the session to a session id (1-9). This would be necessary to obtain information and do some

Hi, I have a dataframe SDF1 that looks like this: Char1 Char2 Char 3 W.2007.02 W.2007.09 W.2007.16 W.2008.13 A C1 F1 F2 F3 A C2 F4 B C3 F5 F6 I have another dataframe SDF2 with 163 cols that has the following column names Char1 Char2 Char 3 W.2007.02 W.2007.03 W.2007.04

I need to put labels in plot in R. Can someone please help? The labels are in the excel file and loaded into "lables" library(xlsx) library(zoo) fPTAnalysis<-"Input.xls" data<-read.xlsx(fPTAnalysis,9) lables<-subset(data, select=c(Labels)) data<-subset(data, select=c(Date,col1, col2 )) data<-read.zoo(data) plot(data) -- Regards, Ankur Seth [[alternative

Hey, Can anyone answer this question. I am working with really large datasets and most of the programs I have been running take quite some time. I heard that R may be faster in Unix. I sthis true and if so can anyone reccomend which system and requirements may allow things to go faster for? Thanks!! Elizabeth Lawson --------------------------------- [[alternative

Hi all, here is my situation In my experiment, I expose 10 subjects to 24 different conditions of stimuli. Each condition is exposed to the same subject 3x. This would make each subject have 24x3=72 data points. All the subjects combined would have 72x10=720 data points with each condition having 30 datapoints. To find the grand average of each condition, I find the average of all the

'grepl' returns a logical vector; you have to use this to get your subset. You can use: df_tq <- subset(df, grepl("t1", Command)) df_t2 <- subset(df, grepl("t2", Command)) # if you want to also get a subset that has both, use df_both <- subset(df, grepl("t1", Command) & grepl("t2", Command)) Jim Holtman Data Munger Guru What is

Dear all, I read a file with all numbers with readLines function, as below, > f <- file("data.txt") > a <- readLines(f) but all the values in a are in format "....", and I cannot do the calculation with them since they are not numeric. I wonder how should I skip those quotes, thank you for help! I have to use readLines function instead of scan, read.table or

Using TDM400's here and I have tried everything to cure the echo. I have used the Milliwatt test from the telco and from asterisk to tune RX/TX gain via a patched ztmonitor. What happens is I experience midcall echo. I turned on aggressive_suppressor and it seems to do great. The problem happens with misc. noise around the office will cause it to mute the other end of a phone call while

Hi All, I am interested in aggregating a data frame based on 2 categories--mean effect size (r) for each 'id's' 'mod1'. The 'with' function works well when aggregating on one category (e.g., based on 'id' below) but doesnt work if I try 2 categories. How can this be accomplished? # sample data id<-c(1,1,1,rep(4:12)) n<-c(10,20,13,22,28,12,12,36,19,12,

Let me start by saying I am rather new to R and generally consider myself to be a novice programmer...so don't assume I know what I'm doing :) I have a large matrix, approximately 300,000 x 14. It's essentially a 20-year dataset of 15-minute data. However, I only need the rows where the column I've named REC.TYPE contains the string "SAO " or "FL-15". My