similar to: selection simulation

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I am experiencing some problems at working with lists at high level. In the following "coef" contains the original DWT coefficients organized in a list. Thorugh applying the following two commands: coef.abs <- lapply(unlist(coef,recursive=FALSE,use.names =TRUE),abs) coef.abs.sorted <- sort(unlist(coef.abs),decreasing=TRUE) I get vector "coef.abs.sorted" containing

Dear Sir, Please excuse my akwardness as I a new to R and computers, but would kindly appreciate help. { a <- sample (1:10,100,replace=T ) b <-sample(10:20,100,replace=T) c <- sample(20:30,100,replace=T) d <- sample(30:40,100,replace=T) e <- sample(40:50,100,replace=T) } d1 <- a d2 <- b d3 <-c d4 <- d d5 <- e data.frame(d1,d2,d3,d4,d5) dd <-

- Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr -- Aur?lien Zanelli Parrot SA 174, quai de Jemmapes 75010 Paris France -------------- next part -------------- diff --git

Debian: (Closes: #334917) Signed-off-by: Thorsten Glaser <tg at mirbsd.de> --- usr/klibc/arch/m68k/syscall.S | 42 +++++++++++++++++++++++++++++++++------- usr/klibc/arch/m68k/vfork.S | 13 +++-------- 2 files changed, 38 insertions(+), 17 deletions(-) diff --git a/usr/klibc/arch/m68k/syscall.S b/usr/klibc/arch/m68k/syscall.S index 966c92d..f468678 100644 ---

Please ignore my previous mail and patch, there is a new version :). Patch changes are: - Use MAC16_16 macros instead of (sum += a*b) and unroll a loop by 2. It increase performance when using optimized macros (ex: ARMv5E). A possible side effect of loop unroll is that i don't check for odd length here. - Add NEON version of FIR filter and autocorr - Add a section in autoconf in order to

I have a system with 3 video cards; 2 dual-DVI and one single DVI. I'd like to get nouveau running on this system. selene:/var/log# lspci | grep VGA 01:07.0 VGA compatible controller: nVidia Corporation NV34GL [Quadro NVS 280 PCI] (rev a1) 02:00.0 VGA compatible controller: nVidia Corporation NV44 [Quadro NVS 285] (rev a1) 07:00.0 VGA compatible controller: nVidia Corporation NV44 [Quadro

[to R-devel, for everyone's information; thanks a lot, Peter!] >>>>> "PD" =3D=3D Peter Dalgaard BSA <p.dalgaard@biostat.ku.dk> writes: PD> Hmmm. You may need a call to PD> #include <locale.h> PD> setlocale(LC_ALL,"") PD> (or LC_CTYPE?) before your environment variables take effect. Yes, this was `it'.

Dear R family I have a question as to how to get an answer I want to derive with the outcome from R-package, "wmtsa". My concern is that I want to decide equivalent degrees of freedom (EDOF) based on the following outcome. library(wmtsa) W <- wavMODWT(X, wavelet="s8") z1 <- wavEDOF(W) print(z1) #Intentionally, I do not assign n.levels and specify SDF. The following is

I am new to R and have a problem that I haven't been able to find the answer to in the guides or online. I have multiple datasets, D1, D2, D3, D4, D5, D6, D7 and D8, and I would like to produce two plots side by side using mfrow.  The first plot should contain data from D1-D4, the second should contain D5-D8. I can plot these separately using the code, par(mfrow=c(1,1))

Hi Berend, I see you are one of the contributors to the rbecnhmark package. I am sorry that I am bothering you again. I have tried to run your code (slightly tweaked) involving the benchmark function, and I am getting the following error message. What am I doing wrong? Error in benchmark(d1 <- s1(df), d2 <- s2(df), d3 <- s3(df), d4 <- s4(df), : could not find function

Hi R Users, How to use the function polygon() together with the package scatterplot3d? I am trying to color below of the curves defined for the function density(). I tried to use the site: R GRAPH GALLERY as tutorial. I tried to adapt the example of this page: [figure]: http://addictedtor.free.fr/graphiques/RGraphGallery.php?graph=30 [code]:

tag 334917 = patch thanks Hi, I?ve fixed the m68k syscall of klibc and made it able to use six-argument syscalls like mmap2. However, I could not yet fully test it (only mostly; opendir() specifically fails) due to: http://gcc.gnu.org/bugzilla/show_bug.cgi?id=47533 @m68k porters: Please have a look at the gcc bug as well. @klibc: Please apply the patch, it?s better than what we have, and

Your question has been received. You should expect a response from us by the next business day. You may also update this question by replying to this message. Because your reply will be automatically processed, you MUST enter your reply in the space below. Text entered into any other part of this message will be discarded. [=3D=3D=3D> Please enter your reply below this line <=3D=3D=3D]

I've found a problem, and I think it is in syslinux (specifically when it tries to load ldlinux.e64 under hyper-V). I have a physical computer with a Gigabyte GA-P85-D3 motherboard that successfully pxeboots using the EFI images, and I hold that up as exhibit 1 that my deployment environment works. It also implies that the syslinux.efi image works in some cases, but not in all. My Hyper-V

Hie, I can't connect to my samba 3.022 pdc (I can join the domain and access share) and no error messages. I find in the log : the dump_data message musn't be clearest (domain,netboisname...) ? An idea ? [2008/04/30 15:26:50, 5] lib/util.c:show_msg(464) size=627 smb_com=0x2e smb_rcls=0 smb_reh=0 smb_err=0 smb_flg=136 smb_flg2=51201 smb_tid=1 smb_pid=65279

The xentrace_format script doesn''t work on x86/64. Python pads the input structure because the first field is 32 bits and the next is 64 bits, whereas x86-32 doesn''t pad. The quick fix is to read the cpu id separately as a 32bit value, then read the rest of the trace record. Here is a little patch that does that. Tested on x86/32 SMP and x86/64. Signed-off-by: Rob Gardner

I am working with amino acid sequences changing each letter to numbers.I have a data from acf transformation called Zm as shown below. I would like to get Indices D1 to D10 and then create F1 to F10 as indicated below. Is there anyway I can do that in R without typing each of them one by one. For example to get D1 to D3, I have to type D1<-c(Zm[[1]])[1][[1]], D2<-c(Zm[[2]])[1][[1]], and

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. ------_=_NextPart_000_01C3738F.63DE3390 Content-Type: text/plain; charset="iso-8859-1" #I want to be able to create a new S4 class and read data into it using C code # Here is a very simple S4 object inheriting from "array", but with 5

My goal is to store the DWT coefficients from a number of time series in such a way to be able to extract subsets satisfying giben conditions. I have defined the following 11 matrices whose x-axis represent time intervals and y-axis represent the number of time series: MS <- 11 d1.mat <- matrix (data=list(), nrow=TotNumCycles, ncol=2^(MS-1)) d2.mat <- matrix (data=list(),