similar to: Euclidean Distance Matrix Analysis (EDMA) in R?

tree/branch: https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git master branch HEAD: 9d99040b1bc8dbf385a8aa535e9efcdf94466e19 Add linux-next specific files for 20240529 Error/Warning ids grouped by kconfigs: gcc_recent_errors |-- alpha-allyesconfig | |--

Hello All, I have an issue where I have two SATA cards with 5 drives each in one zfs pool. The issue is one of the devices has been intermittently failing. The problem is that the entire box seems to lock up on occasion when this happens. I currently have the SATA cable to that device disconnected in the hopes that the box will at least stay up for now. This is a new build that I am

tree/branch: https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git master branch HEAD: 3689b0ef08b70e4e03b82ebd37730a03a672853a Add linux-next specific files for 20240523 Unverified Error/Warning (likely false positive, please contact us if interested): drivers/gpu/drm/xe/xe_drm_client.c:272 show_runtime() error: uninitialized symbol 'hwe'.

> BDR> You will need to call it something else: dist is a clone of an S > BDR> function, and dist(X, "manhattan") is well-established usage. > > one could still imagine an extra Y argument such that > dist(X, Y=myY, method="euclidean") > and dist(X, "euclidean", Y=myY) > would work > one could even make it such that > both

a <- c(1:10) b <- c(.5, .6, .9, 10, .4, 3, 4, 9, 0, 11) d <- c(21:30) z <- data.frame(a,b,d) library(fields) results <- c() for(i in 1:(length(rownames(z))-1)){ results[i] <- rdist(z[i,], z[(i+1),]) } results.1 <- data.frame(results) f <- rownames(z) r <- f[-1] rownames(results.1) <- r colnames(results.1) <- f[1] this does what I want it to do - is

Dear R-Help-Team, I would like to cluster my data using the ward-method. In several papers I read (e.g. Bahrenberg) that it is neccesary to use the "squared euclidean distance" with the ward-method. Unfortunatelly I cannot find this term in r as a method for measuring the distance. Does anybody have an idea? Thanks in advance, Carolin [[alternative HTML version deleted]]

Hi, I would like to calculate the RELATIVE euclidean distance. Is there a function in R which does it ? (I calculated the abundance of 94 chemical compounds in secretion of several individuals, and I would like to have the chemical distance between 2 individuals as expressed by the relative euclidean distance. Some compounds are in very low abundance whereas others are in high abundance,

Hi, I have a set of nodes and a dissimilarity matrix for them, as well as a csv file in which the diss matrix has been converted to [node_1, node_2, dissimilarity] format. I would like to visualize this as a graph in Euclidean space (that is, similar nodes clumped together in clusters), rather than the seriation visualization given by dissplot(). I am using Network WorkBench for my

> 3x3 subset used > Locus1 Locus2 Locus3 > Samp1 GG <NA> GG > Samp2 AG CA GA > Samp3 AG CA GG > > The euclidean distance function is defined as: sqrt(sum((x_i - y_i)^2)) My > assumption was that the difference between

Hello all, I've been pouring through the various spatial packages, but haven't come across the right thing yet. Given a set of points in 2-d space X, i'm trying to find the subset of points in Y proximate to each point in X. Furthermore, the proximity threshold of each point in X differs (X$threshold). I've constructed this myself already, but it's horrificly slow with a

Dear Users,I have two matrices A=15*365 and B=1*365. i want to calculate "Euclidean Distance" between these matrices in such a way that i should have euclidean distance of matrix B against all the columns of matrix A. More precisely, first i want euclidean dist. of column 1 of A against B, then column 2 against B, 3rd column of A against B and so on.is there a way in r to do it?your help

?for doesn't return anything help.search("for") doesn't return anything- Is the for loop so prevelant in computer programing that the documentation is implicit or is R paradigm to discourage the use of the for loop. I will post data probably tonight, but here is my problem. I have preformed an MDS on a set of data. I have the scores of the four axes that are the optimal

Hi 1. I have two raster files *.asc (identical size) 2. The data in each contain presence or absence data in each cell represented by a 1 or 0 respectively 3. I would like to take the location of each 1 (presence cell) in raster file 1 and measure the euclidean distance to the nearest 1 (presence cell) in raster file 2. Obviously in some cases there will be overlap so the distance will be zero.

I have a program which needs to compute squared Euclidean distance between two vectors million of times, which the Rprof shows is the bottleneck. I wondered if there is any faster way than my own simple function distance2 = function(x1, x2) { temp = x1-x2 sum(temp*temp) } I have searched the R-help archives and can not find anything except when the arguments are matrices. Thanks for any

Hi, I should preface this problem with a statement that although I am sure this is a really easy function to write, I have tried and failed to get my head around writing functions in R. I can use R where functions exist to do what I want done, but have found myself completely incapable of writing them myself. The problem is that I have a table with several rows of species and several columns of

Hello, I am working with a matrix of multilocus genotypes for ~180 individual snail samples, with substantial missing data. I am trying to calculate the pairwise genetic distance between individuals using the stats package 'dist' function, using euclidean distance. I took a subset of this dataset (3 samples x 3 loci) to test how euclidean distance is calculated: 3x3 subset used

This patch adds support for the Flexible Direct Memory Access (FDMA) core driver. The FDMA is a slim core CPU with a dedicated firmware. It is a general purpose DMA controller capable of supporting 16 independent DMA channels. Data moves maybe from memory to memory or between memory and paced latency critical real time targets and it is found on al STi based chipsets. Signed-off-by: Ludovic Barre

tree/branch: https://git.kernel.org/pub/scm/linux/kernel/git/next/linux-next.git master branch HEAD: 4118d9533ff3a5d16efb476a0d00afceecd92cf5 Add linux-next specific files for 20240411 Error/Warning reports: https://lore.kernel.org/oe-kbuild-all/202404120101.dAQBAzh3-lkp at intel.com Error/Warning: (recently discovered and may have been fixed) huge_memory.c:(.text+0x1778): undefined reference

Hey all, I''m not sure if this is a ZFS bug or a hardware issue I''m having - any pointers would be great! Following contents include: - high-level info about my system - my first thought to debugging this - stack trace - format output - zpool status output - dmesg output High-Level Info About My System --------------------------------------------- - fresh

Hi Vinod, Bjorn, Patrice, This patchset adds support for the Flexible Direct Memory Access (FDMA) core found on STi chipsets from STMicroelectronics. The FDMA is a slim core CPU with a dedicated firmware. It is a general purpose DMA controller supporting 16 independent channels and data can be moved from memory to memory or between memory and paced latency critical real time targets. After quite