similar to: R script doesn't load libraries when called from cron

I got the following warnings when I install R.oo. Are these warnings normal? Should I reinstall the package as mentioned in the warnings? How to reinstall? The sessionInfo() is at the end. > install.packages("R.oo", dependencies=T) Warning in install.packages("R.oo", dependencies = T) : argument 'lib' is missing: using '/utility/R' also installing the

Hi Guys, I am new to R and just trying to write a small script to automate a couple commands. But I run into the setwd(): cannot change working directory. I googled a little bit and tried all fixes/suggestions with no success. Basically I have a script that works from inside a directory with my data (/home/sean/Rtest/Data01). Now I want to modify the script to make it run from the upper directory

I noticed about a couple weeks ago that my R start up script starting showing the below errors, following the line "Type 'q()' to quit R" Not sure what I did different and so far it hasn't caused major problems but kind of fear that it will. Can you please help? I also posted my Rprofile below. Attempting to load the environment 'package:R.utils' R.methodsS3 v1.2.2

Hi all, I'm trying to do some object-oriented programming in R using the R.oo package. Right from the start I encountered a strange (at least for me) problem. I define a new class/constructor based on the R.oo documentation. However the first attempt to create an object fails: === Code: === library(R.oo); setConstructorS3("MyClass",function(param) { print(param);

Hi, I am trying to load into R a MATLAB format file (actually, as saved by octave). The file is about 300kB but R complains with a memory allocation error: > library(Rcompression) > library(R.matlab) Loading required package: R.oo Loading required package: R.methodsS3 R.methodsS3 v1.2.0 (2010-03-13) successfully loaded. See ?R.methodsS3 for help. R.oo v1.7.2 (2010-04-13) successfully

Are you seeing issue or error message which says auto_unmount option is not valid ? Can you please let me the issue you are seeing with 1.7.3 ? --Humble On Thu, Aug 10, 2017 at 3:33 PM, Christopher Schmidt <fakod666 at gmail.com> wrote: > Hi all, > > I am testing K8s 1.7.3 together with GlusterFS and have some issues > > is this correct? > - Kubernetes v1.7.3 ships

Hi all, I am testing K8s 1.7.3 together with GlusterFS and have some issues is this correct? - Kubernetes v1.7.3 ships with a GlusterFS Plugin that depends on GlusterFS 3.11 - GlusterFS 3.11 is not recommended for production. So 3.10 should be used This actually means no K8s 1.7.x version, right? Or is there anything else I could do? best Christopher -------------- next part -------------- An

?Thanks .. Its the same option. Can you let me know your glusterfs client package version ?? On Thu, Aug 10, 2017 at 8:34 PM, Christopher Schmidt <fakod666 at gmail.com> wrote: > > short copy from a kubectl describe pod... > > Events: > FirstSeen LastSeen Count From SubObjectPath Type Reason Message > --------- -------- ----- ---- ------------- -------- ------

On Thu, Aug 10, 2017 at 10:25 PM, Christopher Schmidt <fakod666 at gmail.com> wrote: > Just created the container from here: https://github.com/gluster/ > gluster-containers/tree/master/CentOS > > And used stock Kubernetes 1.7.3, hence the included volume plugin and > Heketi version 4. > > ? Regardless of the glusterfs client version this is supposed to work. One patch

Hello developers, I noticed that if I am running 'R', type "rm(list=objects())" and "gc()", 'R' will still be consuming (a lot) more memory than when I then close 'R' and re-open it. In my ignorance, I'm presuming this is something in 'R' where it doesn't really do a great job of garbage collection... at least not nearly as well as

As an another solution, if you are updating the system where you run application container to latest glusterfs ( 3.11) , this will be fixed as well as it support this mount option. --Humble On Thu, Aug 10, 2017 at 10:39 PM, Christopher Schmidt <fakod666 at gmail.com> wrote: > Ok, thanks. > > Humble Devassy Chirammal <humble.devassy at gmail.com> schrieb am Do., 10. >

short copy from a kubectl describe pod... Events: FirstSeen LastSeen Count From SubObjectPath Type Reason Message --------- -------- ----- ---- ------------- -------- ------ ------- 5h 54s 173 kubelet, k8s-bootcamp-rbac-np-worker-6263f70 Warning FailedMount (combined from similar events): MountVolume.SetUp failed for volume "pvc-fa4b2621-7dad-11e7-8a44-062df200059f" : glusterfs:

Yes, I tried to, but I didn't find a 3.11 centos-release-gluster package for CentOS. Humble Devassy Chirammal <humble.devassy at gmail.com> schrieb am Do., 10. Aug. 2017, 19:17: > As an another solution, if you are updating the system where you run > application container to latest glusterfs ( 3.11) , this will be fixed as > well as it support this mount option. > >

Just created the container from here: https://github.com/gluster/gluster-containers/tree/master/CentOS And used stock Kubernetes 1.7.3, hence the included volume plugin and Heketi version 4. Humble Devassy Chirammal <humble.devassy at gmail.com> schrieb am Do., 10. Aug. 2017, 18:49: > ?Thanks .. Its the same option. Can you let me know your glusterfs client > package version ?? >

Could someone give me an idea on how to do rolling ranking, i.e. rank in the moving window of last 100 numbers in a long vector? I tried naive solution like roll.rank<-function(v, len){ r<-numeric(length(v)-len+1) for(i in len:length(v)) r[i-len+1]<-rank(v[(i-len+1):i])[len] r } However, it turns out pretty slow even on my rather able Linux box. For

Dear R Wizards---is it possible to get R to show its current call stack (sys.calls()) upon an error abort? I don't use ESS for execution, and it is often not obvious how to locate how I triggered an error in an R internal function. Seeing the call stack would make this easier. (right now, I sprinkle "cat" statements everywhere, just to locate the line where the error appears.) Of

Calling library(..., quietly=TRUE) may still output: Loading required package: <other pkg> in some cases, e.g. > library("R.utils", quietly=TRUE) Loading required package: R.methodsS3 [...] I traced this to base:::.getRequiredPackages2(), which forgets to pass 'quietly' to an internal library() call: if (!attached) { if (!quietly)

I have pretty big data sizes, like matrices of .5 to 1.5GB so once i need to juggle several of them i am in need of disk cache. I am trying to use bigmemory package but getting problems that are hard to understand. I am getting seg faults and machine just hanging. I work by the way on Red Hat Linux, 64 bit R version 10. Simplest problem is just saving matrices. When i do something like

Ok, thanks. Humble Devassy Chirammal <humble.devassy at gmail.com> schrieb am Do., 10. Aug. 2017, 19:04: > On Thu, Aug 10, 2017 at 10:25 PM, Christopher Schmidt <fakod666 at gmail.com> > wrote: > >> Just created the container from here: >> https://github.com/gluster/gluster-containers/tree/master/CentOS >> >> And used stock Kubernetes 1.7.3, hence the

Hi, i have 8.10 Ubuntu, R version 2.7.1 on 64 bit pc. I install packages fine, but when i try to do install.packages("debug") i get error message package 'debug' is not available Does this package exist for Ubuntu? -- View this message in context: http://n4.nabble.com/package-debug-not-available-in-Ubuntu-tp1597844p1597844.html Sent from the R help mailing list archive at