similar to: CEBA-2017:2850 CentOS 6 java-1.8.0-openjdk BugFix Update

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Hello, Seems like it is almost working properly. I was able to run examples calling R from Java successfully for the java code below. However, some commands, such as "objects" when not commented out, give me the following error? If you could point me to the correct place to find a solution, I would much appreciate it. I am new to the R community and not sure where is the appropriate

> Date: Monday, October 02, 2017 16:24:20 -0700 > From: david <david at daku.org> > > Folks > > I performed an install of "java-devel". Several packages got > installed. So far so good. > > Yet, when I performed > yum list installed | grep java-devel > and also > yum rpm -qa | grep java-devel > > it did not show up as already

It seems not many folks have much to say about this. Here?s an update for anyone in a similar situation: We narrowed down the issue to being with dispersed volumes. When we created a replicated volume, vfs_fruit worked without issue. Ultimately, what we were seeking was performance. Even for our Windows and Linux users, things could be slow. The good news is that we discovered an SMB config

Hello Anoop. Thanks for helping with this! > On Sep 22, 2017, at 00:11, Anoop C S <anoopcs at autistici.org> wrote: > > On Thu, 2017-09-21 at 10:35 -0600, Terry McGuire wrote: >> Hello list. I?m attempting to improve how Samba shares directories on our Gluster volume to Mac >> users by using the vfs_fruit module. > > What versions of GlusterFS and Samba have

Dear all, I have a question regarding setIs and method dispatch in S4 classes: Consider the following example: ##################################################### ## A02 "contains" A01 by setIs: setClass("A01", representation(a="numeric",b="numeric")) setClass("A02", representation(a="numeric",d="numeric"))

Hi all, I am trying to convert a data set of physician death codings (each individual's cause of death is coded by multiple physicians) from long to wide format, but the "reshape" function doesn't seem to work because it requires a "time" variable to identify the sequence among the repeated observations within individuals. My data set has no order, and different

Hi, I have, in postres, a piece of IR that, after inlining and constant propagation boils (when cooked on really high heat) down to (also attached for your convenience): source_filename = "pg" target datalayout = "e-m:e-i64:64-f80:128-n8:16:32:64-S128" target triple = "x86_64-pc-linux-gnu" define void @evalexpr_0_0(i8* align 8 noalias, i32* align 8 noalias) {

Hi all, I'm trying to fit a model using the shorthand coeff[factor] instead of coding dummy variables. Is there a way to keep this notation when specifying constraints? See example below: x = runif(200) b0 = c(rep(0,100),runif(100)) b1 = 1 fac <- as.factor(rep(c(0,1), each=100)) y = b0+b1*x+rnorm(200,sd=0.05) ## No constraint - works nls(y~b0[fac]+b1*x,

Hello All, Although running Java from R used to work, for some mysterious reason, it's stopped. Today when I tried to load a basic JDBC driver (or the sample .jinit()) code, I got: - JavaVM: requested Java version ((null)) not available. Using Java at "" instead. - JavaVM: Failed to load JVM: /bundle/Libraries/libserver.dylib - JavaVM FATAL: Failed to load the jvm library. I

Happy New Year, all! I want to do calculations on each element of a list l, but i want the returned list element to be named differently after the calculation. Is it possible to do the renaming somehow within the lapply call? l <- list(a=NA, b=NA) lapply(l, function(x) {names(x) <- "new name"; return(x) }) This does not work, any ideas? TIA

Hello, I have run into some performance issues after adding bricks to a 3.3.1 volume. Basically I am seeing very high CPU usage and extremely degraded performance. I started a re-balance but stopped it after a couple days. The logs have a lot of entries for split-brain as well as "Non Blocking entrylks failed for". For some of the directories on the client doing an ls will show multiple

I have a vector and need to count how many data points fall inside each bin: dat <- rnorm(100) breaks <- -3:3 table((cut(dat, breaks))) (-3,-2] (-2,-1] (-1,0] (0,1] (1,2] (2,3] 3 13 42 30 12 0 if I reverse the breaks vector, the results remains the same: breaks <- rev(breaks) table((cut(dat, breaks))) (-3,-2] (-2,-1] (-1,0] (0,1] (1,2]

Dear list, I came up with a two functions that flatten arbitrary deeply nested lists (as long as they're named; not tested for unnamed) and environments (see attachment; 'flatten_examples.txt' contains some examples). The paradigm is somewhat similar to that implemented in 'unlist()', yet extends it. I would have very much liked to build upon the superfast functionality

Hi, I am trying to convert a data frame from: X1 X2 A 1 2 B 3 4 C 5 6 to: A01 1 A02 2 B01 3 B02 4 C01 5 C02 6. How can I do it in R? I appreciate your help. Zheng --------------------------------- [[alternative HTML version deleted]]

I want to assign a default handler to a toolbar button and change the handler later. The addhandlerclicked() method does not apply to a gAction Object, I think... defHandler <- function(h, ...) print("default") w <- gwindow() aTest <- gaction(label="Test", icon="open", handler=defHandler) tblList = list( test = aTest ) toolBar = gtoolbar(tblList,

I have a nested list l like: l <- list(A=c(1,2,3), B=c("a", "b")) l <- list(l,l, list(l,l)) I want the list to be unlisted, but not on the lowest level of each "branch". I want the lowest level of each list branch to remain as it is. So unlist or unlist(rec=F) do not work here as the level of nesting may differ on the elements. The result should look like:

Is there a way to modify the dots-argument? Let's consider I have a function that passes on its ... arguments to another function. For some reason I know, that some elements in ... will cause problems. Can I modify the ... structure somehow, e.g. delete elements? foo <- function(...){ innerFoo <- function(...){ } AT THIS POINT I WANT TO MODIFY THE CONTENT OF ... BEFORE IT IS

In The following code, the table handler is executed twice when the button is pressed (from the 2nd pressing on). I want it to be executed only once. Does someone know, why this happens and how I can change it? library(gWidgets) w <- gwindow() b <- gbutton("press", cont=w) tbl <- gtable(1:10, cont=w) addhandlerclicked(b, handler=function(h, ...){

Andres: FWIW, codegen will do the merge if you turn on global alias analysis for it "-combiner-global-alias-analysis". That said, we should be able to do this merging earlier. -Nirav On Mon, Sep 10, 2018 at 8:33 PM, Andres Freund via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Hi, > > On 2018-09-10 13:42:21 -0700, Andres Freund wrote: > > I have, in postres,