similar to: a method to trim composite objects?

Hello, I don't manage to see if you have already focussed on this point in some previous messages so I post my question: I have a little problem with the S4 style of programming. I tried to formalize my question: please consider the following example that you can run I think: #------------------ setClass("my.class1", representation( my.list =

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

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

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

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, 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],

Dear R-help community, I have 2 different arrays of precipitation data each of the same dimensions of [longitude, latitude, time] dim=[30,32,43], called array1 and array2. I need to correlate them. This is the code I used to get one overall correlation value for the whole of the area of interest: > result <- cor(array1,array2,use="complete.obs") > result This give me a

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

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

----- Original Message ----- > From: "Chandler Carruth" <chandlerc at google.com> > To: "Louis Gerbarg" <lgg at apple.com> > Cc: "LLVM Developers Mailing List" <llvmdev at cs.uiuc.edu> > Sent: Thursday, May 22, 2014 7:09:49 PM > Subject: Re: [LLVMdev] RFC: Indexing of structs vs arrays in getelementpointer > > > > >

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",

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, In rw-FAQ, there is a paragraph about optimizing R by using a fast ATLAS library in place of the standard BLAS. It says: "BLAS support is supplied by the single DLL `R_HOME\bin\Rblas.dll', and you can add a fast BLAS just by replacing that." Do I need to recompile the whole R with the option `USE_ATLAS = YES', or is it possible to compile only Rblas.dll on each separate

Hi, Is it any way to convert .Rd files to CHTML Splus 6 files under Windows? Thanks, Philippe Grosjean ...........]<(({?<...............<?}))><............................... ( ( ( ( ( ) ) ) ) ) Philippe Grosjean ( ( ( ( ( ) ) ) ) ) IFREMER Nantes - DEL/AO ( ( ( ( ( rue de l'Ile d'Yeu, BP 21105, 44311 Nantes Cedex 3 ) ) ) ) ) tel: (33) 02.40.37.42.29, fax: (33)

Hi I agree with your comments and of course you identifie the problems regarding the implementation of your suggestions. Of course we'd need bidireccional communication to implement it. I think it's impossible to do it statically. What I want with NEdit is a very ligth editor (which jedit is not) that highlights the most important language syntax, so that It becomes easier to write

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

We're running Samba 3.3.4 on RHEL 5 Linux, using Active Directory authentication. I've noticed that we are able to assign NTFS "Full Control" permissions to directories; however, we are unable to do the same on the files contained within those directories. Is there a default setting that is preventing us from being able to assign them? Note that this happens even at the very

Hi, I am not very familiar with complex ANOVA, so, I am not sure about the formula to use with aov() in this particular case. Could someone help me? Here is my data. I have an unbalanced plan with 4 factors: "Site", "Sex", "Age" and "Individual". "Site" is a 5-level fixed factor; "Sex" is of course a 2-levels fixed factor, as is

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"),

Hi all, I want maximum control of R, including calculation / buffer output interruption. With Rgui, pressing ESC interrupt both calculation and buffer output. However, with Rterm, ctrl-c works only in calculation, but does not interrupt buffer output: with: i <- 1 while (i > 0) i <- i + 1 which runs an infinite loop, pressing ctrl-c interrupt it. OK. But: rnorm(1000000) is not