similar to: Rsolnp package: warning messages

Hi, I am a Ph.D. student from Québec, Canada. I’m a beginner with R and Bioconductor. Until now the only experience I have is in analyzing microarray data using affy and limma packages. Now I am trying to analyze Rat Gene 10 st arrays and I would like to run RMA analysis and Smyth moderated t test on those arrays. Since no cdf official package is available for those arrays, after reading many

# Hi all, # consider the following code (please, run it: # it's fully working and requires just few minutes # to finish): require(CreditMetrics) require(clusterGeneration) install.packages("Rdonlp2", repos= c("http://R-Forge.R-project.org", getOption("repos"))) install.packages("Rsolnp2", repos= c("http://R-Forge.R-project.org",

Hi, I am trying to contstruct a mutual informtation matrix using the function build.mim() from the minet package: > build.mim(myData, estimator="empirical") and I have two questions. 1.) The estimator "empirical" computes the entropy of the empirical probability distribution. This probably means it is using this definition of the entropy: H = sum_x sum_y p(x,y)* log(

I'm interested in the Rsolnp package. For their primary function "solnp", one example is given, and there is a reference to "unit tests". Anyone know where these can be found? Also, Rsolnp is used in a few other packages (e.g., depmixS4), but I cannot seem to find source illustrating its call sequence, and the precise definition of the functions passed. Can anyone help?

Hi all! I¹m just implementing the Ullmann¹s algorithm for searching subgraph isomorphisms in graphNEL objects. The algorithm is running with smaller graphs, but when I¹m calling it i get an R error message saying that functions are nested too deeply in source code. I found out that the problem is in the so called refinement procedure of the algorithm which consists of 10 different functions,

A firmware error is triggered when configuring a 9k MTU on the PF after switching to switchdev mode and then using a vdpa device with larger (1k) rings: mlx5_cmd_out_err: CREATE_GENERAL_OBJECT(0xa00) op_mod(0xd) failed, status bad resource(0x5), syndrome (0xf6db90), err(-22) This is due to the fact that the hw VQ size parameters are computed based on the umem_1/2/3_buffer_param_a/b capabilities

Hi, I'm trying to take a matrix such as [,1] [,2] [,3] [,4] [,5] [1,] 2 7 2 7 9 [2,] 10 10 6 8 6 [3,] 1 9 7 2 0 and generate a new matrix which contains only the unique values in each row: [,1] [,2] [,3] [,4] [,5] [1,] 2 7 9 NA NA [2,] 10 6 8 NA NA [3,] 1 9 7 2 0 My problem is that I can use

On Thu, 21 Jul 2005, Naftali Schwartz wrote: >> If you're interested in dependence analysis, the next important step is > to >> start analyzing distance and direction vectors. > > Well, specifically, I was thinking of a mechanism to turn this: The indvars pass is *intentionally* restricted to only promoting affine expressions to array subscripts, not arbitrary

> LLVM already includes this: the -indvars pass. It turns things like this: > > int *P = for (...; ... ; ++P) > *P > > to: > > int *P = ... > for (int i = 0; ... ; ++i) > P[i] > > If you're interested in dependence analysis, the next important step is to > start analyzing distance and direction vectors. Well, specifically, I was thinking of a

Well, I guess I was hoping soemthing like this would help in the pointer-to-array transformation for the following code: > > int A[100], B[100], C[100], X, Y, Z; > > > > int *p_a = &A[0]; > > int *p_b = &B[0]; > > int *p_c = &C[0]; > > > > int i, j, k, f; > > for ( k = 0; k < Z; k++ ) > >

Hi, I was using a density estimation function as follows: > est <- KernSmooth::bkde(x3, bandwidth=10) When setting bandwidth less than 5, I got the error "longer object length, is not a multiple of shorter object length in: kappa * gcounts ". I wonder if there is anybody who can explain the error for me? Thanks! Hui

reading ?plotmath you might notice that "_" isn't the propper syntax for subscripts. This will work: ggtern(data=x11,aes(A,B,C,xend = c(0.7,.00,0.7),yend = c(.30,.50,.0),zend =c(.0,.50,0.3)))+ geom_point()+ theme_showarrows()+geom_segment(size=.5)+ geom_text_viewport(x=c(.45,.27,.37),y=c(.32,.29,.22),label=c("P[a]","P[b]","P[c]"), parse=TRUE)

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D'oh! Thanks for pointing this out. I blame caffeine depletion at the time... -pd > On 4 Dec 2017, at 15:48 , Eik Vettorazzi <E.Vettorazzi at uke.de> wrote: > > reading ?plotmath you might notice that "_" isn't the propper syntax for > subscripts. This will work: > > ggtern(data=x11,aes(A,B,C,xend = c(0.7,.00,0.7),yend = > c(.30,.50,.0),zend

I would like to create something like this (x86_64) .section __DATA,__data .align 4 _a: .long 18 .globl _b _b: .long 48 If you like to notice, there is no alignment between _a and _b. _b is basically offseting into a record structure. ---- When I use two discrete structs, I get .aligns and I also don't trust the tools to keep the two globals together. %struct.a = type { i32 }

On 2020/7/16 ??3:23, Eli Cohen wrote: > Add a front end VDPA driver that registers in the VDPA bus and provides > networking to a guest. The VDPA driver creates the necessary resources > on the VF it is driving such that data path will be offloaded. > > Notifications are being communicated through the driver. > > Currently, only VFs are supported. In subsequent patches we will

Hi, My example code is this; x11<-data.frame(A=c(.6,.6,.6),B=c(.20,.20,.20),C=c(0.20,.20,.20)) ggtern(data=x11,aes(A,B,C,xend = c(0.7,.00,0.7),yend = c(.30,.50,.0),zend =c(.0,.50,0.3)))+ geom_point()+ theme_showarrows()+geom_segment(size=.5)+ geom_text_viewport(x=c(.45,.27,.37),y=c(.32,.29,.22),label=as.expression("P_a","P_b","P_c"))

> This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. --B_3294209241_521622 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit I have been unable to find any discussion regarding this issue, but I have been able to reproduce it on two different machines. Both computer are Macs running

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xenU-devel-2.6.9-67.0.20.EL Checking