similar to: slow performance on company production server I need help

>> Hello Everyone, >> >> Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am >> getting horrible system performance.? /var/log/messages is full of >> HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like >> this: >> >> Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped >> Apr 22 08:55:04

> Hello Everyone, > > Since rebooting my Centos 6.10 Openvz server "daisy" yesterday, I am > getting horrible system performance.? /var/log/messages is full of > HDIO_GET_IDENTITY failed for /dev/sdb.? The latest entries look like this: > > Apr 22 08:51:32 daisy kernel: [141224.655699] CT: 1005: stopped > Apr 22 08:55:04 daisy ata_id[21513]: HDIO_GET_IDENTITY

Correct, 3ware 9670SE SATA-II Raid PCIe [root at daisy dev]# lspci 00:00.0 Memory controller: NVIDIA Corporation CK804 Memory Controller (rev a3) 00:01.0 ISA bridge: NVIDIA Corporation CK804 ISA Bridge (rev a3) 00:01.1 SMBus: NVIDIA Corporation CK804 SMBus (rev a2) 00:02.0 USB controller: NVIDIA Corporation CK804 USB Controller (rev a2) 00:02.1 USB controller: NVIDIA Corporation CK804 USB

On 4/22/20 8:53 AM, Christopher Wensink wrote: > I had an 8 TB External USB disk plugged into the system, that I had been > using for additional space for backups, I was under the impression that > sda, sdb, sdc, and sdd were the four disks on the raid controller card, Not exactly.? If you have a RAID5 array, then you have one volume spread across the physical disks.? You can then

http://bugs.freedesktop.org/show_bug.cgi?id=10933 Summary: nouveau defaults to first graphics card in system even when xorg instructed differently Product: xorg Version: 7.2 Platform: Other OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau

I am having difficulty getting the dynamic tree cut package to work. Given the data table "myddtable" LengthPlaceColorAge5HRed224ABlue205WGreen243GRed222GBlue236WGreen255ARed194H Blue23 I created a similarity matrix using DAISY and Gower metric and specified Place and Color columns as characters (since they are categorical variables) > dd.daisy<-daisy(myddtable, metric =

Hi! I am trying to calculate a dissimilarity matrix using daisy. The matrix vectver is binary as i test with: > levels(as.factor(vectver)) [1] "0" "1" But the call to daisy gives me the following error message.: > dfl1 <- daisy(vectver, type = list(asymm = c(1:length(vectver[,1])))) Error in daisy(vectver, type = list(asymm = c(1:length(vectver[, 1])))) : at least

Hi All - I am using the daisy function from the cluster library to create a dissimilarity matrix. I'm going to use that matrix to run a cluster analysis. My participants are identified with the variable, hhid. However, when I try to keep hhid in the dataset that I use to create the dissimilarity matrix, daisy uses it to create the matrix rather than ignoring it as an ID variable. I need to

I have a data which contain some NA value in their elements. What I want to do is to **perform clustering without removing rows** where the NA is present. I understand that `gower` distance measure in `daisy` allow such situation. But why my code below doesn't work? __BEGIN__ # plot heat map with dendogram together. library("gplots") library("cluster")

Hi, I'm using the cluster library to examine multivariate data. The data come from a connection to a postgres database, and I did a short R script to do the analisys. With the cluster version included in R1.8.0, daisy worked well for my data, but now, when I call daisy, I obtain the following messages: --------- Error in if (any(sx == 0)) { : missing value where TRUE/FALSE needed In

Hello, I am a bit over my head on this issue. My colleagues and I are running R off of our server. We all have admin rights and prior to yesterday we all had our own libraries. Our main system administrator advised us that we should have a shared library. So, I am trying to do this. I have downloaded the latest version of R and installed it on the main drive of our server in the "Program

Hi, I'm a PhD student and I want to use the function 'daisy' from the package 'cluster' to compute dissimilarities. My variables are of mixed types so I use the argument 'stand' in daisy to define the type of my variables. I have the following error message : Warning message: binary variable(s) 13, 16, 17, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,

Hi, According to daisy function from cluster documentation, it can compute dissimilarity when NA (missing) value(s) is present. http://stat.ethz.ch/R-manual/R-devel/library/cluster/html/daisy.html But why when I tried this code library(cluster) x <- c(1.115,NA,NA,0.971,NA) y <- c(NA,1.006,NA,NA,0.645) df <- as.data.frame(rbind(x,y)) daisy(df,metric="gower") It gave this

Hi, I'm trying to create a distance matrix. And it works out somewhat ok. However, I suspect that there are some efficiency issues with my efforts. Plz have a look at this: donor <- matrix(c(3,1,2,3,3,1,4,3,5,1,3,2), ncol=4) receiver <- matrix(c(1,4,3,2,4,3,1,5,1,3,2,1,4,5,3,5,1,3,2,4,5,1,2,3,1,4,5,5,1,2,1,3,4,3,2,5,5,1,4,2,5,4,3,2), ncol=4) The above creates my two matrices. I have

Hello help, I have changed around some graphing code and made it into a function. Previously they y label of the axis was inserted as text in its own layout box. text(1,1, expression(~degree~C),cex=1) This worked great and resulted in the symbol for degree. In the function, I have changed it so: text(1,1,paste(b_unit),cex=1) and b_unit<-expression(~degree~C) This now inserts ~degree~C

Hello, I am trying to use R to download a bunch of .csv files such as: http://biocache.ala.org.au/ws/occurrences/download?q=Banksia+ericifolia I have tried the following and neither work: a<- getURL(" http://biocache.ala.org.au/ws/occurrences/download?q=Banksia+ericifolia") Error in curlPerform(curl = curl, .opts = opts, .encoding = .encoding) : embedded nul in string: and

Hi, I'm trying to use a similarity matrix (triangular) as input for pam() or fanny() clustering algorithms. The problem is that this algorithms can only accept a dissimilarity matrix, normally generated by daisy(). However, daisy only accept 'data matrix or dataframe. Dissimilarities will be computed between the rows of x'. Is there any way to say to that your data are already a

Hello, I would like to use my own dissimilarity matrix in a PAM clustering with method "pam" (cluster package) instead of a dissimilarity matrix created by daisy. I read data from a file containing the dissimilarity values using "read.csv". This creates a matrix (alternatively: an array or vector) which is not accepted by "pam": A call

Hello, I am running DAISY in R and using the GOWER metric since I am working with mixed variables. I am wondering if there is a way to weight the different variables. I see that there is a weight value for Gower but do not know if this is how to weight the diffrent variables with different weighting values. Please advise if there is a way to weight the different variables. Thank you. -- View

Hello, I want to make a fuzzy classification from a dissimilarity matrix (calculated with daisy from package 'cluster'). I have tried to use fanny (package cluster) but I have the same problems than described in a previous message (http://tolstoy.newcastle.edu.au/R/help/05/05/4546.html) i.e. it always gives me two clusters in the results (even if k is different from 2) with the same