search for: amap

...the same code, sometimes the error happens and other times it doesn’t. It all started while still using the old R version; therefore I looked for the updates and its keep on happening with the new version too. The packages that I am using while experiencing this continues error are the following: amap anacor ca Please help! Ana [[alternative HTML version deleted]]

Dear R users, Thanks to a new contributor, Luigi Cerulo, amap provides 2 more metrics, and another agglomeration linkage for distance computation, and hierarchical clustering. The new centroid linkage method implemented in the cluster3 software tool (http://bonsai.hgc.jp/~mdehoon/software/cluster/software.htm). In this method the pseudoitem of a cluster is...

A new major version of Amap package is available on CRAN. For this major release, all clustering code has been rewritten in C++. Amap implements several tools in the field of clustering and robust statistics. New features are: * clustering possible in float precision (less memory needs) * new rank-based metric: Kenda...

Dear all, I have come across a very confusing matter regarding dist() supplied by the amap package: --- m is just a test matrix > library(amap) Loading required package: mva Warning message: package 'mva' has been merged into 'stats' > m a b c aa 0.1 0.2 0.3 bb 2.0 3.0 4.0 cc 2.0 4.0 6.0 dd 0.3 0.2 0.1 > ds<-dist(m,method="pearson"...

Dear R users, Version 0.7-1 of the amap package has been uploaded to CRAN. Amap package includes standard hierarchical clustering and k-means. We optimize implementation (with a parallelized hierarchical clustering) and allow the possibility of using different distances like Eulidean or Spearman (rank-based metric). W...

...quot;, method="kmeans") While this works: cclust(x, centers=x[2:3,], dist="euclidean", method="kmeans") I'm posting this here because I am not sure if it is a bug. I've been searching for a manhattan kmeans method and I found a solution by using the package amap: require(amap) Kmeans(x, x[2:3,], method="manhattan") This works for me, so I don't need the cclust package anymore. Anyway, I wanted to report the cclust behaviour. R version 2.2.1, 2005-12-20, i386-pc-mingw32 Cheers, Timo -- Timo Becker Phonetics Austrian Academy of Sciences A...

...= (hdr.loadflags & LOAD_HIGH) ? (addr_t)-1 : 0x8ffff; prot_mode_size = kernel_size - real_mode_size; - cmdline_offset = calc_cmdline_offset(&hdr, cmdline_size, real_mode_base, + /* Get the memory map */ + mmap = syslinux_memory_map(); /* Memory map for shuffle_boot */ + amap = syslinux_dup_memmap(mmap); /* Keep track of available memory */ + if (!mmap || !amap) { + errno = ENOMEM; + goto bail; + } + + cmdline_offset = calc_cmdline_offset(mmap, &hdr, cmdline_size, + real_mode_base, real_mode_base + real_mode_size); dprintf("cmdline_off...

Hi, I'm trying to understand the complete linkage method in hclust. Can anyone provide a breakdown of the formula (p9 of the pdf documentation) or tell me what the "sup" operator does/means? thanks in advance Tom [[alternative HTML version deleted]]

"H. Peter Anvin" <hpa at zytor.com> on Tue, 2013/12/03 20:26: > On 10/24/2013 01:09 AM, Christian Hesse wrote: > >>> > >>> version 6.02-pre5 works, 6.02-pre6 does not. > >> > >> Struggled with git bisect, but finally succeeded: > >> > >> 8f470e7bfe75f6401f6c5432988c620b863ad274 is the first bad commit > >>

...644 --- a/com32/lib/syslinux/load_linux.c +++ b/com32/lib/syslinux/load_linux.c @@ -324,7 +324,8 @@ int syslinux_boot_linux(void *kernel_buf, size_t kernel_size, /* Place the kernel in memory */ /* First, find a suitable place for the protected-mode code */ - if (syslinux_memmap_type(amap, prot_mode_base, prot_mode_size) + if (prot_mode_size && + syslinux_memmap_type(amap, prot_mode_base, prot_mode_size) != SMT_FREE) { const struct syslinux_memmap *mp; if (!hdr.relocatable_kernel) @@ -423,12 +424,15 @@ int syslinux_boot_linux(void *kernel_buf, size_t kernel_size,...

Hello: I have radio buttons like this: <% fields_for :goalhist do |g| %> <table> <tr> <td align=left><%= radio_button_tag (''duedate'', 0, checked = false, options = {:onclick => ""}) %> &nbsp;&nbsp;Start now </td> </tr> <tr id="detailed" style="display: none"><td colspan=2>

On 10 July 2011 19:47, Talin <viridia at gmail.com> wrote: > However, I would imagine other uses for this facility. What this effectively > is "metadata for types", although unlike metadata nodes this data would be > immutable. Hi Talin, The new type system allows you to name types and, if I got it rght, that's unique and immutable. You could use that fact, plus

...C++ or JNI interfaces (e.g. rgdal and EBImage) as the libraries and JVM were compiled under gcc's conventions (even though a Sun JVMi is used). About half the packages using rJava segfault, which seems to a JNI issue. Some packages use gcc-specific compiler flags: LogConcDEAD Matching amap geometry memisc taskPR but the vast majority of the errors reported are C++ errors. One class that may not be immediately obvious is the use of C headers in C++: you are supposed to write e.g. #includd <cmath> NOT #include <math.h> Symptoms of this can be seen for packages B...

I'd like to figure out a clean way to annotate LLVM types with additional information. This is related to the garbage collection discussion - I'd like to figure out a good way to do this, so I can add it to the proposal. Basically what I want is to be able to take a Constant and associate it with a type, such that (1) any backend pass that has a reference to the type can quickly and

Hi, Seeking suggestions to compute uncentered (pearson correlation) correlation efficiently. corr from stats library works on x and y columns. dist from amap library works on x and y rows. My data layout is slightly different such that row(i) of matrix x is compared to row(i) of matrix y. Thanks [[alternative HTML version deleted]]

Hello. Is it possible to choose the distance in the kmeans algorithm? I have m vectors of n components and I want to cluster them using kmeans algorithm but I want to use the Mahalanobis distance or another distance. How can I do it in R? If I use kmeans, I have no option to choose the distance. Thanks in advance, Arnau.

...found the function rcorr.cens (outx=true) of the Hmisc package which should do it. What I don't understand is how to define the input vectors x, y with my vegetation dataset. The other thing how I can use the output of rcorr.cens for a distance measure in the cluster analysis (e.g. in vegan or amap). Any help would be greatly appreciated, Thank you very much, Kim --

...gt;e_entry >= ph64->p_vaddr + && eh64->e_entry < ph64->p_vaddr + msize) + regs.eip = eh64->e_entry + (ph64->p_paddr - ph64->p_vaddr); + + dprintf("Segment at 0x%08x data 0x%08x len 0x%08x\n", + addr, dsize, msize); + + if (syslinux_memmap_type(amap, addr, msize) != SMT_FREE) { + printf + ("Memory segment at 0x%08x (len 0x%08x) is unavailable\n", + addr, msize); + return NULL; /* Memory region unavailable */ + } + + /* Mark this region as allocated in the available map */ + if (syslinux_add_memmap(&amap, addr, m...

Hi all, once more about the old subj :-) My data has too much various distribution families and for every particular experiment I need just to decide whether the data is "quite homogeneous" or it has two or more clusters. I've revisited the following libraries: amap, clust, cclust, mclust, multiv, normix, survey. And I didn't find any ready-to-use general purpose criterion for answering the question whether the data is "quite homogeneous" or has two or more clusters. Even for one dimension data. However, in "cclust" a "...

...not null-terminated. > + * For boolean arguments, the returned pointer is valid but meaningless. > */ > static const char *find_argument(const char *cmdline, const char *argument) > { > @@ -166,6 +169,7 @@ int bios_boot_linux(void *kernel_buf, si > struct syslinux_memmap *amap = NULL; > uint32_t memlimit = 0; > uint16_t video_mode = 0; > + uint8_t bootflags = 0; > const char *arg; > > cmdline_size = strlen(cmdline) + 1; > @@ -200,6 +204,14 @@ int bios_boot_linux(void *kernel_buf, si > } > } > > + if...