similar to: IO-APIC line level race condition

Dear R people, I have to deal with the output of a function which comes as a matrix of vectors. You can reproduce the structure as given below: x <- list(c(1,2,4),c(1,3,5),c(0,1,0), c(1,3,6,5),c(3,4,4,4),c(0,1,0,1), c(3,7),c(1,2),c(0,1)) data <- matrix(x,byrow=TRUE,nrow=3) colnames(data) <- c("First", "Length", "Value") rownames(data)

Dear R users: I just got confused some R code used in linear mixed model~ example,two factors,A, B,C,A is fixed ,B,C are random,and B is nested in C,if I wannt to use linear mixed model,are the following code correct for each case? case1:want to know random effect of B, case1<-lme(y~A*B*C,random=~B|C) where "B|C" stand for what?,mean B is nested in C? case2: how to wirte

Hi all, I'm building a plot of the values in tmeant (below) against positions 1 to 5, using matplot. tmeant looks like this: case1 case2 pos1 861.8466 818.5909 pos2 961.2841 976.3466 pos3 878.6080 1262.8523 pos4 950.8011 1129.6080 pos5 968.1080 1063.3920 I also have lower (object tl) and upper (object tu) bounds on the confidence intervals as follows: tl: pos1

Hello, I've some problem with the ggplot2. Here's a small example: --8<-- library(ggplot2) molten <- data.frame(date=c('01','01','01','01', '02','02','02','02'), channel=c('red','red','blue','blue',

I''m a newbie and I''ve been trying to figure this out for a little while now, hopefully someone can point me in the right direction. case1 <div id="new"> </div> case2 <div id="new"><div id="item1"></div></div> <div id="new2"><div id="item1"></div></div> With RJS in

Hello, Everyone. I have a question about llvm's "Combine redundant instructions(instcombine)" pass. I have tested instcombine pass by writing the following three test cases. But, CASE3 is not optimized as I expected. Is this behavior expected? The version of llvm is: clang version 5.0.1 (tags/RELEASE_501/final 325232) Option of clang command is: clang -O1 a.c -S -emit-llvm

Dear R users: I am having difficulty to place x-axis location alternatively top/bottom side in Lattice plot, which is composed of seven-column as following: E1 E2 E3 E4 E5 E6 E7 Case1 -505.85 -75.32 494.52 -12.31 -98.96 50.34 -48.62 Case2 -50.46 -60.97 68.32 -8.66 -51.77 25.17 -26.60 Case3 -253.00 -54.99 243.48 -8.76

Dear list, Hello to everybody, I´m interested in finding a package for statistical analysis of binary data, I have a matrix with the following structure: Case1 Case2 Case 3 ....... CaseX Control1 Control2 Control3 ....... ControlY Pep1 1 0 1 1 0 0 0 1 Pep2 1 1 1 1 1 0 0 1 Pep3 0 1 1 1 1 0 0 1 ... Pepz 1 1 1 1 1 0 0 1 I would like to know some R package to calculte similarity matrix or

>that image under B: or X: or whatever. This will allow us to cross the >size limit of 2.88MB floppies. Ofcourse when I say "mount" I dont expect >memdisk to mount it, just that set things up so that DOS mounts it there. I'm using a 5MB image which emulates floppydisk. label test kernel data/memdisk append initrd=data2/test.img c=80 h=8 s=18 floppy problems are

It try to put all basicblock in a switch in a loop, like that for example: int main() { if(something) somethingelse: else another; } become: int main() { while(true) { switch(var) { case 0: if(something) var+=1; else: var+=2; break; case1:

Hi R users, Is is possible for me to use the try function with boot? I would to do the bootstraping with a nonlinear model(it works well when R < 1000). But it does not work very well (when R is large) thus I try to use "try" to resolve. I put the try function in two cases: case1: put the try in front of the boot > c1.try<-try(boot(c1data, statistic = c1.fun,

Dear friends. I use nls() and encounter the following puzzling problem: I have a function f(a,b,c,x), I have a data vector of x and a vectory y of realized value of f. Case1 I tried to estimate c with (a=0.3, b=0.5) fixed: nls(y~f(a,b,c,x), control=list(maxiter = 100000, minFactor=0.5 ^2048),start=list(c=0.5)). The error message is: "number of iterations exceeded maximum of

> Then why does the Release Note say > " the operation is guaranteed to not overflow". It means that the person who wrote the IR has guaranteed that there's no overflow (by some means) so LLVM can assume it during optimisation. This guarantee might come from doing explicit checks before executing the add/sub; or perhaps from performing the operation after a sext so that the

Good morning, I am analyzing a dataset composed by 364 subjects and 13 binary variables (0,1 = absence,presence). I am testing possible association (co-presence) of my variables. To do this, I was trying with cluster analysis. My main interest is to check for the significance of the obtained clusters. First, I tried with the pvclust() function, by using method.hclust="ward" and

Hello users, i have successfully installed the cepstral voice and in the text only mode its working fine when i swift applicaiton in dtmf mode like exten =>111,1,Swift(hello user| 5000|1) exten =>111,n,NoOp(dtmf is ${SWIFT_DTMF}) exten => 111,n,Hangup() case1: when i am listening to the hello user prompt if i press any key 1,2,3,4,5,6,7,8,9,0,*,# i am getting the ${SWIFT_DTMF } value

Hi, Case1: --------- --> extensions.conf exten => 1023,1,Voicemail(101) exten => 1023/101,1,MeetMe(200) Case2: --------- -> extensions table (using realtime extensions) +----+---------+----------+--------+----------+---------+ | id | context | exten |priority| app | appdata | +----+---------+----------+--------+----------+---------+ | 29 | default | 1023 | 1 |

On Sun, May 12, 2019 at 04:11:08PM -0700, Jun Aruga wrote: > I am using libguestfs tool on Fedora 30. > > libguestfs version: 1.40.2 > libguestfs-tools-c RPM package version: libguestfs-tools-c-1.40.2-4.fc30.x86_64 > > > I have a question about `virt-tar-out`. > > ``` > $ rpm -qf /usr/bin/virt-tar-out > libguestfs-tools-c-1.40.2-4.fc30.x86_64 > ``` >

Greetings All. First let me introduce my situation Machine1: Pdc Samba + OpenLDAP(master) Machine2: Bdc Samba + OpenLDAP(slave) LDAP stores Samba and POSIX information for each user. Case1: I login to Machine1 and invoke smbpasswd. I change my passwords (samba and posix without any problem). In next few seconds they get propagated to Machin2 wher I can login with new credentials. ldap log

After 2fb9d6cf (drm/nouveau/core: convert event handler apis to split create/enable semantics) from the nouveau tree I'm getting a kernel panic on boot because pdisp is 0 at core/engine/software/nv50.c:179. The nouveau part of the call trace is: nv50_software_context_ctor+0x80/0x130 nouveau_object_ctor+0x2d/0xe0 nouveau_object_new+0xfa/0x230 nouveau_channel_new+0x53b/0x6c0

Ever since 3.0.2 we''ve been carrying this patch in our products. Since there was no indication that there would be anything wrong with the ''new'' IO-APIC ack method added back then, we finally decided to drop this patch recently from SLE11, to find that the subsequent release candidate failed to work on at least on system without using "ioapic_ack=old". With