similar to: Calling another method in the same controller

If possible I would like to combine two different character arrays in combinations Array1 <- c("height","weight","age","sex") Array2 <- c("trt0","trt1","trt2") I would like to combine these two character vectors to end up with such ... Array3 "height.trt0.trt1" "height.trt0.trt2"

HI, Dear R community, I am trying to created new variables and put into a data frame through a loop. My original data set: head(first) probe_name chr_id position array1 1 C-7SARK 1 849467 10 2 C-4WYLN 1 854278 10 3 C-3BFNY 1 854471 10 4 C-7ONNE 1 874460 10 5 C-6HYCN 1 874571 10 6 C-7SCGC 1 874609 10 I have

Dear R community, I have a data set like the following: probe_name chr_id position array1 array2 array3 array4 array5 array6 array7 1 C-3AAAA 10 16566949 10 10 10 10 10 10 10 2 C-3AAAB 17 33478940 10 10 10 10 10 10 10 3 C-3AAAC 3 187369224 10 10 2 10 10 1 10 4 C-3AAAD 8 28375041 10

Hello again ruby community! I just learned how to add two arrays(I know, i know). My program looked like this array1=[1,2,3] array2=[4,5,6] array_sum=array1+array2 I thought pretty simple stuff, they are combined. However, now i am looking to define that code as a method and I do not understand how to create the correct number of arguments, so when the method is called back it gives me my

Hi, I need to do several matrix multiplications with the corresponding matrices forming two 3-dimentional arrays. To illustrate my problem, let's say I have the following 3-dimensional arrays: array1 <- array(1:30,dim=c(3,2,5)) array2 <- array(1:20,dim=c(2,2,5)) I know that I can get what I want with the following computation : result <- array(dim=c(dim(array1)[1],

On May 22, 2014, at 3:51 PM, Chandler Carruth <chandlerc at google.com> wrote: > > On Thu, May 22, 2014 at 4:42 PM, Louis Gerbarg <lgg at apple.com> wrote: > The problem that the above transform is technically illegal because “When indexing into a (optionally packed) structure, only i32 integer constants are allowed (when using a vector of indices they must all be the same

I have two large arrays of strings array1 with 180000 names and array2 with 24000 names ,I want to find the common names in both of them. My arrays are for example Array1 Array2 GAP4 HIST1B-histamine.... MFG12 SNRPD-signal induced... CFH1A

Hi, I've just started using RSPerl. Though also tests in directory "/usr/local/lib/R/library/RSPerl/tests/" are passed successfully, I meet the problem with the following codes; use strict; use warnings; use R; use RReferences; my @array1=1..10; my @array2=1..39; &R::initR("--silent"); &R::library("RSPerl"); my $tt=&R::call("t.test",

hi all. how can i adress a array directly. for example i wanna give array 1 other labels than array 2. How can I overcome this problem? ...this doesn't work tab <- array(1:8, c(2, 2, 2)) dimnames(tab[,,1]) <- list(c("No","Yes"), c("No","Yes"),c("ARRAY1")) dimnames(tab[,,2]) <- list(c("big","small"),

*From:* flang-dev <flang-dev-bounces at lists.flang-compiler.org> *On Behalf Of *Eric Schweitz (PGI) *Sent:* Thursday, November 01, 2018 1:02 PM *To:* flang-dev at lists.flang-compiler.org *Subject:* [Flang-dev] RFC: Adding debug information to LLVM to support Fortran In order to support debugging in the Flang project, work has been done to extend LLVM debug information for the Fortran

Hi, I've just started using R and RSPerl. I have some code as follows: &R::initR("--no-save"); &R::call("t.test", (\@array1, \@array2)); where @array1 and @array2 are both 1-dimensional arrays in Perl having 54675 elements each. On execution the output is as follows: Calling R function name `t.test', # arguments: 3 1) Arg type 3 Got a reference to a

Recently I posted a patch to migrate certain GEPs between basic blocks in cases where doing so would improve the ability of instcombine to merge into more complicated addressing mode (r209049 and r209065). After some build to failures it was rolled back. I now have a patch that no longer causes the regressions I was seeing, but it also no longer can optimize the case I was trying to optimize. As

dear R users, please, consider the following code you may run: setClass("my.class1", representation( my.list = "list", my.array1 = "array"), prototype=prototype( my.list =list(), my.array1 =array(0,c(3,3,3)) )) #------------------

Hi, Sean Silva via llvm-dev wrote: > Wouldn't a branch funnel open the door to a type 1 attack? Only if the code looks exactly as you wrote it. If I understand this correctly the problem with indirect branches is that the "gadget", the code leaking the data, could be *anywhere* in the binary, giving the attacker much more freedom. So restricting these calls to one of the

Wouldn't a branch funnel open the door to a type 1 attack? E.g. if the code looks like this, then a branch funnel basically turns into a standard type 1 pattern AFAICT: struct Base { virtual int f(long) = 0; }; struct A : Base { int f(long x) override { return 0; }; }; struct B : Base { int f(long x) override { // As in listing 1 in

Thanks for your help with this problem about dynamic linked libraries. I thought I had it solved, but apparently not. Below is a small piece of Pascal code that I compile into a library. When I load the library using dyn.load R becomes very unstable. The Mac GUI crashes in all kinds of situations --even moving a window can sometimes crash it. Running from the command line (I thought the

The proposed mitigation for variant 2 of CVE-2017-5715, “branch target injection”, is to send all indirect branches through an instruction sequence known as a retpoline. Because the purpose of a retpoline is to prevent attacker-controlled speculation, we also end up losing the benefits of benign speculation, which can lead to a measurable loss of performance. We can regain some of those benefits

Dear All, I am not familiar with R yet I want to use it to perform some task, hence my posting here. I hope someone can help. I have a set of data, genes (rows) and samples (columns). I want to do a Pearson correlation on all the possible pairwise combinations of all the genes (2000). Does anyone have an idea of how to execute this in R? Thanks in advance. -- View this message in context:

Hello, I'm using winbindd with samba 3.0.1. Everything starts up as expected and tests return the expected results (wbinfo and getent). Files created via windows clients are create with the proper ownership and group membership. When I attempt to modify the permissions via the windows security tab (add another group, change ownership for example) I'll get a win pop up saying

Dear all, Assume that I have an S4 class "MyClass" with a slot "myname", which is initialized to: myname="" in method("initialize"): myclass <- new("MyClass", myname="") Assume that class "MyClass" has a method "mymethod": "mymethod.MyClass" <- function(object, myname=character(0), ...) {