search for: artifically

Usually the y-axis is shown on the left-hand-side of a graph, is it possible to artifically creat one more y-axis on the right-hand-side in R? What is the main reference? Thank you in advance. [[alternative HTML version deleted]]

...actually “work” or be “worth it”, > we won’t know unless we try, and that won’t fulfill its promise if > there are compromises to Camp B. It has been said in this thread before, but I fail to see how the atom model is an actual improvement over the fine grained section model. It seems to be artifically restricted for no good reasons. > Lets stop thinking about lld as one linker, and instead think of it is > two different ones. We’ll build a Camp B linker which is the best of > breed section based linker. It will support linker scripts and do > everything better than any existing se...

> On Apr 24, 2017, at 11:00 AM, Daniel Berlin <dberlin at dberlin.org> wrote: > > > > On Mon, Apr 24, 2017 at 10:23 AM, David Jones via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>> wrote: > How do you disable optimization for a function? > > I ask because my application often compiles machine-generated code that results in

On May 4, 2015, at 1:16 PM, Joerg Sonnenberger <joerg at britannica.bec.de> wrote: > It has been said in this thread before, but I fail to see how the atom > model is an actual improvement over the fine grained section model. It > seems to be artifically restricted for no good reasons. Sections come with a huge amount of bloat and overhead that atoms do not. >> Lets stop thinking about lld as one linker, and instead think of it is >> two different ones. We’ll build a Camp B linker which is the best of >> breed section based lin...

Hello, am I using 'setIs' in the correct way in the subsequent (artifical) example? Do I have to specify explicit 'setAs' for 'list' and 'vector' or should this work automatically, since "getClass("List1")" states an explicit coerce also for these classes. I'm working with R 2.0.0 Patched (2004-10-06) on windows 2000. Thanks for your

On Wed, Sep 04, 2013 at 02:04:14PM -0700, Nick Kledzik wrote: > I do think we have too many classes. I thought InputGraph was going > to replace InputFiles. It seems link LinkerInput could be merged into > FileNode. I both agree and disagree. Logically we have two different views, the command line and the resulting input tree on the side and the groups of object files as seen by the

> On Apr 24, 2017, at 5:30 PM, Joerg Sonnenberger via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > On Mon, Apr 24, 2017 at 11:06:36AM -0700, Matthias Braun via llvm-dev wrote: >> Would be cool to create a suite of extreme inputs, maybe a special llvm >> test-suite module. This module would contain scripts that produce >> extreme inputs (long basic blocks,

sapply() stems from S / S+ times and hence has a long tradition. In spite of that I think that it should be enhanced... As the subject mentions, sapply() produces a matrix in cases where the list components of the lapply(.) results are of the same length (and ...). However, it unfortunately "stops there". E.g., if you *nest* two sapply() calls where the inner one produces a matrix, very

>>>>> Soumen Banerjee <soumen08 at gmail.com> >>>>> on Sat, 21 Apr 2018 17:22:56 +0800 writes: > Hello! I am trying to fit a copula to some data in R and > I get the error mentioned above. This is the code for a > reproducible example - (not really reproducible: You did not set the random seed, so the data is different every time;

...nes because it measures the general overhead of setting up all the “infrastructure” (static initializers, creating a pass pipeline, etc.) That would indeed be a very interesting test, however this will be way too short to measure predictably on its own. I could see it working if we had a flag that artifically runs the compilation pipeline hundreds of times or alternatively puts the whole compiler into something like googlebenchmark. - Matthias > > — > Mehdi > > > > >> On Nov 15, 2016, at 1:27 PM, Gerolf Hoflehner via llvm-dev <llvm-dev at lists.llvm.org <mailto:l...

Hello! I am trying to fit a copula to some data in R and I get the error mentioned above. This is the code for a reproducible example - library(copula) data = matrix(data=runif(600),nrow=200,ncol=3) data[,2] = 2*data[,1] data[,3] = 3*data[,1] fr_cop = frankCopula(dim=3) fit_fr_cop = fitCopula(fr_cop,pobs(data),method = "mpl") #Error Here The error says : Error in fitCopula.ml(copula, u

...ch dimension [I also chose cex=5 to make it large enough so that it should (theoretically) be visible]. My wireframe plot is a complicated function which I cannot post here. Below is a minimal example, however, it didn't show the same problem [the surface is too nice I guess]. I therefore *artifically* create the problem in the example below so that you know what I mean. For one of the points, I subtract an epsilon [=0.25] in z-direction and suddenly the point completely disappears. The strange thing is that the point is not even "under" the surface [use the screen-argument to rotat...

Let me take an artifical matrix : dat = matrix(rnorm(200*200), 200, 200) My goal is to visualize this matrix according to the procedure, described in previous mails. I took Mendelssohn's advice and got following advice : ?plot.im Z <- setcov(owin()) plot(Z) .................... etc However I can not reproduce this example in my problem. How I can change my data

Dear all, Objective: I am trying to learn about neural networks. I want to see if i can train an artificial neural network model to discriminate between spam and nonspam emails. Problem: I created my own model (example 1 below) and got an error of about 7.7%. I created the same model using the Rattle package (example 2 below, based on rattles log script) and got a much better error of about

Thanks David, It is working. Holtman's also gave me a solution but, I wanted to have a color pallet for description of colors, that was not in his solution. However I need one small modification. If I want to plot only lower diagonal elements of 'dat' then how should I proceed? What I want is, to visualize only lower diagonal elements and having the color pallet on them only. Also

I was wondering if anyone had some sample time series dgp code. I am particularly interested in examples of autoregressive processes and error correction model DGPs. I have attached a more specific example of what I mean. I have tried myself but would hoping someone had some more elegant code that would help me extend my own code. Thanks Luke Keele UNC-Chapel Hill Nuffield College, Oxford

Hi, Is there a way to stack bars in a barchart as well as "beside" bars for the same treatment? eg.... I have one barchart like this: bio<-matrix(c(10,23,9,25),nrow=2,byrow=T) ntreat<-c("n0","n96") colnames(bio)<-ntreat barplot(bio,beside=T) now i want a similar barchart but with stacked bars:

...ichres[.rownum,1]+1, whichres[.rownum,2]) temp <- rbind(rightspot,leftspot,belowspot,abovespot) }) # THIS SETS THE CONSTRUCTED INDICES TO 1 for ( i in 1:length(onespositions) ) { tempbinmat[onespositions[[i]]] <- 1 } #print(tempbinmat) # NOW GET RID OF THE ROWS AND COLUMNS THAT WERE ARTIFICALLY ADDED AT THE START TO MAKE THINGS EASIER tempbinmat <- tempbinmat[2:(nrow(tempbinmat)-1),2:(ncol(tempbinmat)-1)] print(tempbinmat)

Samba experts, I am running samba 3.0.3-5 of Samba on Fedora core 2 (Red Hat). I am trying to use encrypted passwords. However, when a user tries to connect to their samba account, they end up getting automatically disabled. Their encyrpted password becomes all X's. Can anyone tell me why this might be happening at the moment they attempt to login? Here are my global variables in

...n and what can I do to help the situation? I actually would like to just deny the logins from the larger domain from logging in to the Samba ADS domain computers, but perhaps this is not possible with the trust set up between the Win2k3 domains. Is the bottleneck our ldap server, or is there some artifically configured maximum result size coming from a basically default install of openldap? Thanks in advance for any help. Alan