similar to: Failing on reading a "slightly big" dataset

In order to get around the problems of my posting a few minutes ago, I thought: $ awk -F\| '(NR > 2) {print $2}' cmie_firm_data.text > col2 $ awk -F\| '(NR > 2) {print $4}' cmie_firm_data.text > col4 $ paste col2 col4 | head -2 -510.45 -510.27 60700 101900 $ paste col2 col4 | tail -2 28648.12 31617.02 491014.77 494308.52 $ wc -l col2 col4 89323 col2

Dear all, I want to draw ticks on the 3rd and 4th row of a lattice. How do I do this ? In my search of the help, I discovered a parameter alternating,which kind of says where the ticks will be but does not suffice for me. I am running this command : - barchart(X03/1000~time|Company, data=df1[which(df1$time!=1),], horiz=F,

Dear R-collegues, I'm getting an error message (Error in round) when summarising a glm.nb model, and when using anova.negbin (in R 1.3.1 for windows): > m.nb <- glm.nb(tax ~ areal) > m.bn Call: glm.nb(formula = tax ~ areal, init.theta = 5.08829537115498, link = log) Coefficients: (Intercept) areal 3.03146 0.03182 Degrees of Freedom: 283 Total (i.e. Null); 282

The KVM introspection subsystem provides a facility for applications running on the host or in a separate VM, to control the execution of other VM-s (pause, resume, shutdown), query the state of the vCPUs (GPRs, MSRs etc.), alter the page access bits in the shadow page tables (only for the hardware backed ones, eg. Intel's EPT) and receive notifications when events of interest have taken place

The KVM introspection subsystem provides a facility for applications running on the host or in a separate VM, to control the execution of other VM-s (pause, resume, shutdown), query the state of the vCPUs (GPRs, MSRs etc.), alter the page access bits in the shadow page tables (only for the hardware backed ones, eg. Intel's EPT) and receive notifications when events of interest have taken place

The KVM introspection subsystem provides a facility for applications running on the host or in a separate VM, to control the execution of other VMs (pause, resume, shutdown), query the state of the vCPUs (GPRs, MSRs etc.), alter the page access bits in the shadow page tables (only for the hardware backed ones, eg. Intel's EPT) and receive notifications when events of interest have taken place

Hi R-users I'm a beginner with R and statistics, so I need some help to start my data analysis. I've been reading some docs and tutorials on R and cluster analysis. I've got a large dataset (102000 points) with values of longitude, latitude and temperature and want to see if I can find groups (clusters). Following some tutorials I can look for principal components but get an error

The KVM introspection subsystem provides a facility for applications running on the host or in a separate VM, to control the execution of other VMs (pause, resume, shutdown), query the state of the vCPUs (GPRs, MSRs etc.), alter the page access bits in the shadow page tables (only for the hardware backed ones, eg. Intel's EPT) and receive notifications when events of interest have taken place

hi, How can I get corresponding shadowed page number of a virtual address in vm? -- Best Regards, Mohamad Rezaei

On 09/08/19 18:00, Adalbert Laz?r wrote: > If the EPT violation was caused by an execute restriction imposed by the > introspection tool, gpa_available will point to the instruction pointer, > not the to the read/write location that has to be used to emulate the > current instruction. > > This optimization should be disabled only when the VM is introspected, > not just

Hola, quiero hacer un estudio de no inferioridad para ver si tres tratamientos quirúrgicos son equivalentes en el tratamiento de una patología. Me gustaría saber qué librerías se pueden utilizar y ver algún ejemplo. Gracias J Martín

Hi, Thanks for showing me how to use RODBC and odbcConnect. Now works nicely. The question I've got now is: noms <- list.files(pattern=".DBF") # removing extension names: noms <- sapply(noms, function(x) as.character(strsplit(x,".DBF")) , USE.NAMES=F) for (i in 1:length(noms)) { s <- sqlFetch(bdades, noms[i]) # etc. } But it seems that sqlFetch()

I don't quite understand the difference between the two methods for performing a chi-squared test on contingency tables: summary(table()) and chisq.test() They may different results. E.g.: aa <- gl(2, 10) bb <- as.factor(c(1,2,2,2,1,2,1,2,2,2,1,2,2,2,1,1,1,2,1,1)) aa <- c(aa, aa) bb <- c(bb, bb) table(aa, bb) summary(table(aa, bb)) chisq.test(aa, bb) Could somebody give me

Hola a todos! Espero que alguien me pueda echar algo de luz al problema que tengo. Estoy intentando instalar algunos paquetes antiguos en R (3.3.0), como ?devtools? en su penúltima versión, y me está resultando imposible. Instalé Rtools y R me dice que funciona, pero no consigo hacer que se instale el paquete. He probado bajando el paquete en formato .tar.gz y luego con las instrucciones:

Dear R users, I have a very basic query, but was unable to find a proper anwser. I have the following data.frame x y 2 0.12 3 0.25 4 0.11 6 0.16 7 0.20 and, due to further calculations, I need the data to be stored as x y 1 0 2 0.12 3 0.25 4 0.11 5 0 6 0.16 7 0.20 8 0 How do

http://bugzilla.mindrot.org/show_bug.cgi?id=1017 Summary: socklen_t test in configure fails/configure stops Product: Portable OpenSSH Version: 4.0p1 Platform: All OS/Version: AIX Status: NEW Keywords: low-hanging-fruit Severity: normal Priority: P2 Component: Build system AssignedTo:

Hola a todos, y gracias por leer mi mensaje: Llevo utilizando unos meses R, vengo de SPSS, y estoy muy sorprendido con su capacidad. Mi problema, es que estoy intentando hacer una comparación entre tres sistemas de predicción: una regresión logística, un árbol de clasificación y una red neuronal. De momento, he podido hacer las comparaciones con los dos primeros sistemas, pero mi problema es la

Hi, This is my first set of patches that works as I would expect, and the third revision I sent to mailing lists. Following up with my previous discussions about kernel rootkit mitigation via placing R/O protection on critical data structure, static data, privileged registers with static content. These patches present the first part where it is only possible to place these protections on memory

Hi, This is my first set of patches that works as I would expect, and the third revision I sent to mailing lists. Following up with my previous discussions about kernel rootkit mitigation via placing R/O protection on critical data structure, static data, privileged registers with static content. These patches present the first part where it is only possible to place these protections on memory

Dear R-users, I'm sure it must be a specific function or a better way to convert matrix to x,y,z coordinates (and viceversa), than my function below (it works). Any help? m2coord <- function(m) { k <- nrow(m)*ncol(m) aa <- data.frame(r=1:k, c=1:k, v=1:k) k <- 0 for (i in 1:nrow(m)) for (j in 1:ncol(m)) { k <- k+1 aa$f[k]=i; aa$c[k]=j; aa$v[k]=m[i,j] } aa } Juli