similar to: nested anova<-R chrashing

Dear R-helpers, I'm not a speciallist in writing complex functions, and the function still very rusty (any kind of suggestions are very welcome). I want to implement Gale-Shapley algorithm for R Language. It is based on http://www.jstor.org/stable/10.2307/2312726 Gale and Shapley (1962) , and it has evolved to

Hey list! It looks simple, though it's not possible for me to plot the following properly: (some made-up data) GrSe Clone1 Clone2 Clone3 Clone4 Clone... G1999 2 3 6 5 G2000 2 5 7 4 G2001 5 3 7 3 G2002 4 5 8 3 G... GrSe=Growing Season. I've read the file as "x" and then tried: plot(x$GrSe,x$Clone1) The output is 4 horizontal bars. Even if I write

Dear R experts, I am trying to arrange multiple plots, creating one graph for each size1 factor variable in my data frame, and each plot has the median price on the y-axis and the size2 on the x-axis grouped by clarity: library(ggplot2) df <- data.frame(price=matrix(sample(1:1000, 100, replace = TRUE), ncol = 1)) df$size1 = 1:nrow(df) df$size1 = cut(df$size1, breaks=11)

Hello, I had some difficulties compiling the current git ( http://git.xiph.org/?p=flac.git;a=commit;h=a7e3705d051bafd1cae90f6605287cc1d9f2a18d ) using the Ubuntu 12.04 supplied MinGW32 cross compiler: I configured the FLAC build with --host=i586-mingw32msvc --target=i586-mingw32msvc --build=i586-linux but ran into several linker problems. Are these options somehow wrong? It worked fine when

Dear R-community, my data set looks like 'mat' below. Plant<-c(NA,1,1,1,NA,NA,NA,NA,NA,1); Value1<-rnorm(1:10); Value2<-rnorm(1:10); mat<-cbind(Plant,Value1,Value2); I receive data from two different sites. One site is identified by an interger number, the other site has no data in column Plant=NA. My pb: I'm trying to assign labels "A" or "B" to

Hello together, this is ma first post, so please aplogize me if post this in the wrong section. I have problem concerning ma two matrizes. After a regressione and so on, I got two matrizes Matrixres contains the results of ma calculation. Matrixr contains my detiene, which where Aldo used for the regression. Please ser the following code: #Datei einlesen residual =

Hi there, I have a rather large data set and perform the following cox model: test1 <- list(tstart,tstop,death1,chemo1,radio1,horm1) out1<-coxph( Surv(tstart,tstop, death1) ~ chemo1+chemo1:log(tstop+1)+horm1+horm1:log(tstop+1)+age1+grade1+grade1:log(tstop+1)+positive1+positive1:log(tstop+1)+size1+size1:log(tstop+1), test1) out1 Up to here everything works fine (with each covariate

--- include/share/alloc.h | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/include/share/alloc.h b/include/share/alloc.h index 914de9ba..63878db0 100644 --- a/include/share/alloc.h +++ b/include/share/alloc.h @@ -168,7 +168,7 @@ static inline void *safe_realloc_add_2op_(void *ptr, size_t size1, size_t size2) free(ptr); return 0; } - return realloc(ptr, size2); + return

Dear all, I have the positions of N points spread through some sequence of length L (L>N), and I would like to know how can do the following: 1- Permute the positions of the N points along the whole sequence. Assuming a uniform distribution I did: position1 <- runif(N, 1, L) 2- Apply a kernel convolution method to the resulting permuted points profile. For this I applied the

Hi, I would like to get from a plot the size of the symbols plotted. Imagine I have the following plot function : plot(1:2,1:2, pch=15, cex=4) I would like the get the values SIZE1 and SIZE2 so that if I plot the following rectangle : rect(1.5,1.5, 1.5+SIZE1, 1.5+SIZE2) then the size of this square is exactely the same as the one of the symbols that have been plotted. Thanks for any idea. --

Hi John & Ron, I read through the proposal and had a couple of quick observations. 1. The proposed encoding assumes that the epilogue instructions always come at the end of the function -- or rather, just before the next function. If there is a stack protector __stack_chk_fail sequence, or there is NOP padding between functions, then the epilogue cannot be expressed. The proposed encoding

Dear All, Are there R packages that can estimate survival model with long-term survivors? This is sometimes known as "cure" model or "split-population" model. Thanks. Shige [[alternative HTML version deleted]]

John and Ron, I developed the original compact unwind implementation for macOS 10.6 back in 2009. I tried to leave space in the design to support finer grain exception handling such as for asynchronous or for the shrink wrap optimization. The idea I had at the time was instead of having just one 32-bit compact unwind info per function, there could be an array of them each covering a different

I'm trying to implement a virtualization API. I was testing migration with libvirt I got some problems. When I use the following command : *virsh migrate --live --persistent --copy-storage-all vm-clone1 qemu+ssh://server_ip/system* the migration works fine but in the destination host the migrated vm is paused and I can't unpause it and I need to reboot the vm to be able use it in the

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and

Hi Nick, It is a pleasure to be in contact with the creator of the compact unwind approach! I can see how an array of 32-bit unwind blocks could be used to describe each distinct point within a function (within a prolog in particular). But then you end up with six or seven or more such blocks for a large percentage of functions, don't you? Seems like a lot of additional space for something

fb_do_apertures_overlap is returning wrong value when one aperture is completely whithin the other. Add generic ranges_overlap macro (probably kernel.h candidate) and use it here. Signed-off-by: Marcin Slusarz <marcin.slusarz at gmail.com> Cc: Dave Airlie <airlied at redhat.com> Cc: Peter Jones <pjones at redhat.com> Cc: Andrew Morton <akpm at linux-foundation.org> ---

Here is our proposal to extend/enhance the x86-64 compact unwind descriptors to fully describe the prologue/epilogue for asynchronous unwinding.  I believe there are missing/lacking CFI directives as well, but I'll save that for another thread. Asynchronous Compact Unwind Descriptors Ron Brender, VMS Software, Inc. Revised January 25, 2018 1  Introduction This document proposes means to

Thanks , your suggestion was welcome and CloneLoop works without passing the LPPassManager. However, I reached another problem. When the loop to be cloned has some subloops, the subloops are not properly cloned. Some clones of the clones are created and the CFG between the cloned basic blocks of the subloops is not correctly built. There are clones like for.body.clone,

I keep getting "Windows cannot copy file \\ssp1\profiles ... to C:\Documents And Settings\..." when trying to log into a Samba PDC using a Windows 2000 SP2 client. Does anybody have any ideas on how to fix this? I am including my smb.conf file, below: # Global parameters [global] workgroup = DC1 netbios name = SSP1 server string = Samba Server encrypt passwords = Yes update