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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 failed for '/dev/sdb' Apr 22

>> 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

Hi (Eric?), A couple of questions while using the 'virsh blockpull' Summary: 1] Created snapshots this way: base<-snap1<-snap2<-snap3 (online, external snapshot --disk-only) 2] I did a 'virsh blockpull' from snap2 into snap3 3] Next, did another 'virsh blockpull' from snap1 into snap3 - Here, 'qemu-img info /path/to/snap3' shows its backing file

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

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

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

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

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

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,

Hello and thanks for helping. #some data L3 <- LETTERS[1:3] dat1 <- data.frame(cbind(x=1, y=rep(1:3,2), fac=sample(L3, 6, replace=TRUE))) #When x==1 and y==1 I want to replace the 1 values with NA #I can select the rows I want: dat2<-subset(dat1,x==1 & y==1) #replace the 1 with NA dat2$x<-rep(NA,nrow(dat2) dat2$y<-rep(NA,nrow(dat2) #select the other rows and rbind

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

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

Dear R-helpers, First of all, a happy new year to everyone! I succesfully used the daisy function (from package cluster) to find which two rows from a dataframe differ by only one value, and I now want to come up with a simpler way to find _which_ value makes the difference between any such pair of two rows. Consider a very small example (the actual data counts thousands of rows): input

Hi, I'm trying to apply the function daisy() to a data.frame 10000x10 but I have not enough space (error message: cannot allocate vector of length 1476173280). I didn't imagine I was not able to work with a matrix of just 10000 observations... I have setted in Rgui --max-mem-size=2G (I'm not able to set more space..) How can I solve this issue? Separating observations depending on

Hi, I have two groups, and I want to find the dissimiarity between the members of the two groups. Since I have mixed level variables on the members, I opt for the daisy function in the cluster package. Let's pretend that the following represent my groups: x <- data.frame(sex=factor(c(1,0,0,1,0,1), levels=0:1, labels=c('Male','Female'), ordered=FALSE),

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 =

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")

Dear Rhelp,   I did a daisy on 5 lifestyle variables, 3 of which were nominal and 2 were ordinal and assigned types “nominal” and “ordinal” for the variables, respectively.  I got an output indicating their types as “I” for interval(?). Doing it on the Rdata example “flower” gave the same types in the output as the types they were assigned to.  Why is this so? Below are the codes and outputs.