similar to: troubleshooting help

Hello, I''m interested in using the mem_event API (or it''s LibVMI wrapper), but I''m interested in capturing write events anywhere in a domU guest''s memory, _and_ not just once for each page write, but every time a page is being written to. To this end, I''ve looked at the xen-access.c example, where at first all the pages are being monitored:

Add the new MEM_EVENT_REASON_MSR event type. Works similarly to the other register events, except event.gla always contains the MSR address (in addition to event.gfn, which holds the value). MEM_EVENT_REASON_MSR does not honour the HVMPME_onchangeonly bit, as doing so would complicate the hvm_msr_write_intercept() switch-based handling of writes for different MSR addresses, with little added

Hi, Many apologies for sending this twice. I accidentally hit the send button before I finished writing my mail. I am new to R and I hope someone can help me with my problem. I am trying to draw a side by side barplot. There is a main experiment and there are many sub experiments within the main experiment. I would like to draw a bar plot showing the number and type of sub_experiments done for

Add the new MEM_EVENT_REASON_MSR event type. Works similarly to the other register events, except event.gla always contains the MSR type (in addition to event.gfn, which holds the value). Signed-off-by: Razvan Cojocaru <rzvncj@gmail.com> Acked-by: Tim Deegan <tim@xen.org> diff -r b04de677de31 -r e33d3d37dfbf xen/arch/x86/hvm/hvm.c --- a/xen/arch/x86/hvm/hvm.c Tue Dec 18 18:16:52 2012

Hello, I am trying to fit my Elisa results (absorbance readings) to a standard curve. To create the standard curve model, I performed a 4-parameter logistic fit using the 'drc' package (ExpectedConc~Absorbance). This gave me the following: > FourP A 'drc' model. Call: drm(formula = Response ~ Expected, data = SC, fct = LL.4()) Coefficients: b:(Intercept) c:(Intercept)

Hello!. How can i use @releaseDomain from dom0 to subscribe for domain destruction? I''m try to add watch for @releaseDomain path with token equal of needed domain id. But when another domain dies, i get domain that i provide via token to xs_watch. Is that possible to get id of domain what released from xenstore? -- Vasiliy Tolstov, Clodo.ru e-mail: v.tolstov@selfip.ru jabber:

Dear R users,[IF THE FORMAT OF MY EMAIL IS NOT CLEAR, I HAVE ATTACHED A TEXT FILE FOR A CLEAR VIEW] I would like to use the R output file in Fortran. my file Is exactly in the following format. ELISA/BOTTO wATER INN FROM 1900 11 1 TO 1996 12 31 1901.11. 1 447.000 1901.11. 2 445.000 1901.11. 3 445.000 1924.11. 4 445.000 1924.11. 5 449.000 1924.11. 6 442.000 1924.11. 7

HI Elisa, You could use ?cut() vec1<-c(33,18,13,47,30,10,6,21,39,25,40,29,14,16,44,1,41,4,15,20,46,32,38,5,31,12,48,27,36,24,34,2,35,11,42,9,8,7,26,22,43,17,19,28,23,3,49,37,50,45) label1<-unlist(lapply(mapply(c,lapply(seq(0,45,5),function(x) x),lapply(seq(5,50,5),function(x) x),SIMPLIFY=FALSE),function(i) paste(i[1],"<x<=",i[2],sep="")))

Hello, I''m interested in establishing a communication channel between the Xen hypervisor and a dom0 userspace application. Ideally this would be a 2-way channel, with the hypervisor asynchronously notifying this application, and then (for certain types of messages) wait for a reply from the userspace consumer. To this end, I''ve been reading xen-devel posts [1], read the

Hi, Try this: el<- read.csv("el.csv",header=TRUE,sep="\t",stringsAsFactors=FALSE) ?elsplit<- split(el,el$st) ? datetrial<-data.frame(date1=seq.Date(as.Date("1930.1.1",format="%Y.%m.%d"),as.Date("2010.12.31",format="%Y.%m.%d"),by="day")) elsplit1<- lapply(elsplit,function(x)

Dear all, I am trying to estimate a system of equations with a Seemingly Unrelated Regression. However because of the characteristics of the data I'd like to do it with a negative binomial estimation. Would anybody know how to implement a Seemingly Unrelated Negative Binomial (SUNB) estimation in R? Thank you in advance for your help. Best regards, Elisa Lanzi -- Elisa Lanzi PhD student in

Hi everybody, I am quite new to data imputation, but I would like to use the R package ' Amelia II: A Program for Missing Data '. However, its unclear to me how the input for amelia should look like: I have a data frame consisting of numerous coulmns, which represent different experimental conditions, whereby each column has 3 replicates. I want amelia to perform an imputation across

I'm using cocorresp package with predictive co-correspondence analysis model. i would need to visulize inside the graphic (plot function) the sample site numbers (is it possible to consider this a "label"?). is there any function to do this? thanks for your help. Elisa Dr. Elisa Santi Dipartimento di Scienze Ambientali "G. Sarfatti" Unità di Ricerca Biodiversità

Dear R users,Sorry for such a basic question. I really need to know that how can i pick the indices of 5 lowest values from each row of a matrix with dimensions 12*12??Thank you very much in advance Elisa [[alternative HTML version deleted]]

dear useRs, i have a list containing 16 matrices. i want to calculate the column mean of each of them. i tried >sr <- lapply(s,function(x) colMeans(x, na.rm=TRUE)) but i am getting the following error >Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric can it be done in any other way? and why i am getting this error?? thanks in advance.. elisa [[alternative

Dear Elisa, Try this: vec1<-c(33,18,13,47,30,10,6,21,39,25,40,29,14,16,44,1,41,4,15,20,46,32,38,5,31,12,48,27,36,24,34,2,35,11,42,9,8,7,26,22,43,17,19,28,23,3,49,37,50,45) vec2<-vec1[1:26] names(vec2)<-LETTERS[1:26] label1<-unlist(lapply(mapply(c,lapply(seq(0,45,5),function(x) x),lapply(seq(5,50,5),function(x) x),SIMPLIFY=FALSE),function(i)

Dear Elisa, Try this: el<- matrix(1:100,ncol=20) ?set.seed(25) ?el1<- matrix(sample(1:100,20,replace=TRUE),ncol=1) In the example you showed, there were no column names.? ?list(el[,sort(el1)[1:3]],sort(el1,index.return=TRUE)$ix[1:3]) #[[1]] ?# ?? [,1] [,2] [,3] #[1,]?? 31?? 61?? 71 #[2,]?? 32?? 62?? 72 #[3,]?? 33?? 63?? 73 #[4,]?? 34?? 64?? 74 #[5,]?? 35?? 65?? 75 # #[[2]] #[1] 9 5 3 A.K.

Hello R guru's I am a newbie to R, In my research work I usually generate a lot of ELISA data in form of absorbance values. I ususally use Excel to calculate the concentrations of unknown, but it is too tedious and manual especially when I have 100's of files to process. I would appreciate some help in creating a R script to do this with minimal manual input. s A1-G1 and A2-G2 are

Dear useRs, I have a matrix in the following form [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] 1 1 3 2 3 1 1 2 3 3 2 and following is my desired output (combining the column headers, having same values). a<-1,2,6,7 b<-3,5,9,10 c<-4,8,11 Thanks in advance Elisa [[alternative HTML

Dear useRs, i want to split a matrix having 1116rows and 12 columns. i want to split that matrix into 36 small matrices each having 12 columns and 31 rows. The big matrix should be splitted row wise. which means that the first small matrix should copy values which are in first 31 rows and 12 columns of the big matrix. similarly 2nd small matrix should contain values from 32nd to 63rd row of the