similar to: Rmpi performance

Dear R-Users, I have a model with a latent variable for a spatio-temporal process. I would like to use EM algorithm to estimate the parameters. Does anybody know how to implement the algorithm in R? Thank you very much in advance, Michela

Dear R-users, we are using library(snow) for computation on a linux cluster with RMPI. We have a problem with clusterEvalQ: after launching clusterEvalQ it seems loading the required library on each node but if we type a function belonging to the loaded package R doesn't find it. > library(snow) # making cluster with 3 nodes > cl <- makeCluster(3, type = "MPI") Loading

Dear R-users, I have a little problem that I can't solve by myself. I have a data frame with 2 factors and 8 observations (see the following code): y <- c(1,1,1,2,2,3,3,3) y <- factor(y) levels(y) <- c("a","b","c") x <- c(1,2,3,1,2,1,2,3) x <- factor(x) levels(x) <- c("x","y","z") X <-

Dear R user, I'm trying to find a solution for optimizing my code. I have to run a 50.000 iteration long simulation and it is absolutely necessary to have an optimized code. I have to do this operation *sum_t ( t(X_t) %*% A %*% X_t )* where X_t is a (d*k) matrix which changes in time and A is a constant in time (d*d) matrix. I have put all my X_t in a three dimensional array X of dimension

Hola erreros! Acudo de nuevo a ustedes porque ando enredado con algo que debe ser simple pero que no consigo. Lo que ando buscando hacer es pasar todas las variables de un dataframe a solo una variable (columna) con la info apilada. Lo que tengo es un dataframe así (con 200 variables y 30,000 filas): Var1 Var2 Var3 1 5 9 2 6 10 3 7 11 4 8 12 y lo que necesito es convertirlo a: Var1 1 2 3 4 5 6

---------- Mensaje reenviado ---------- De: Maria Jose Vasquez Silva <mariajose.vasquez.silva@gmail.com> Fecha: 1 de diciembre de 2013 01:16 Asunto: Distribucion log logistica Para: r-help-es@r-project.org Hola, he visto en la web sus ayudas en R project para poder lograr la estimación de los parámetros de la función Log Logística, yo estoy haciendo mi tesis y necesito de su ayuda de forma

Hola, Emilio Muchas gracias por la respuesta. El problema es que la otra persona no sabe nada de R, e instalarle RStudio va a ser casi peor. Además, parece que el origen es que tiene su Mac con configuración USA por un tema de correos y fechas; así que creo que lo que necesitaría es algo que cambie solo la configuración de la sesión de R a UTF-8 o algo parecido. Quizás no es posible ....

Muchas gracias Xabier. He intentaddo trabajar con la sparse matrix pero al pasar tdm a matriz me dice también que "cannot allocate a vector of size 12 gb". He hecho tdm<-as.matrix(tdm) ¿Está bien hecho eso para trabajar con la sparse matrix? Gracias! El Lun, 10 de Febrero de 2020, 16:15, Xavier-Andoni Tibau Alberdi escribió: > La respuesta de Carlos creo que es mucho mas

In our network we found some client with clock differences. Some machine have effectively some troubles, eg have NO 'Windows Time' service defined, probably some glitches happened when moving from our old NT-like domain. Anyway, catching for that, we have found some other strangeness. Windows time service run: C:\Users\gaio>sc query w32time NOME_SERVIZIO: w32time TIPO

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¡Muchas gracias Olivier! Un saludo. El 16 de abril de 2015, 10:44, Olivier Nuñez <onunez en unex.es> escribió: > Mira el paquete survey. > Un saludo. Olivier > > ----- Mensaje original ----- > De: "Víctor Nalda Castellet" <victor.nalda.castellet en gmail.com> > Para: "r-help-es" <r-help-es en r-project.org> > Enviados: Miércoles, 15 de

CRAN (and crantastic) updates this week New packages ------------ * apcluster (1.0.1) Ulrich Bodenhofer http://crantastic.org/packages/apcluster The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. * BioPhysConnectoR (1.6-1) Franziska Hoffgaard

Yes I think so This is my /etc/dhcp/dhcpd.conf ddns-updates on; ddns-update-style interim; #ddns-update-style none; update-static-leases on; option domain-name-servers cd1.home.cu; option domain-name "home.cu"; default-lease-time 600; max-lease-time 7200; authoritative; include "/etc/bind/rndc.key"; #include "/usr/local/samba/private/dns.keytab"; # deny

My name is Michela Marignani and I'm an ecologist trying to solve a problem linked to knight' s tour algorithm. I need a program to create random matrices with presence/absence (i.e. 1,0 values), with defined colums and rows sums, to create null models for statistical comparison of species distribution phenomena. I've seen on the web many solutions of the problem, but none provides

After having compiled samba-4.4.0 and installed bind9 and isc-dhcp-server from Debian repos 8 everything works fine except that no reverse zone updates from DHCP to DNS. I tried the example that comes in https://wiki.archlinux.org/index.php?title=Samba_4_Active_Directory_domain_controller&oldid=427930 This is the error that but I have not managed to solve April 12 16:22:45 cd1 named [848]:

Hi, can you tel me how can I make a Forrest Plot with R? It is possible and easy or are there a more practical free software available? Than you Mic [[alternative HTML version deleted]]

Dear R-Help Members, I am trying to read and analyse a set of 100 csv files. I need work only on some columns in each of those, so I decided to use a for loop, isolate the column in each file to work on, but then an error mesage appear: "undefined columns selected" Here is my code: setwd("F:/Data/") a<-list.files() for (x in a) { ? u<-read.csv(x, header=T,

Dear Simon, Thank you for your quick reply! I used to perform the GAMsetup in the following manner: GAMsetup sintax: x.summer: vector used for construct the spline knots<-14 N<-length(x.summer) x<-array(x.summer,dim=c(1,N)) G<-list(m=1,n=N,nsdf=0,df=knots+1,dim=1,s.type=0,by=0,by.exists=FALSE,p.order=0,x=x,n.knots=knots,fit.method="mgcv") H<-GAMsetup(G) with the

I'm fitting a Poisson gam model, say model<-gam(a65tm~as.factor(day.week )+as.factor(week)+offset(log(pop65))+s(time,k=10,bs="cr",fx=FALSE,by=NA,m=1),sp=c( 0.001),data=dati1,family=poisson) Currently I've difficulties in obtaining right predictions by using gam.predict function with MGCV package in R version 2.2.1 (see below my syntax).

Hi. I have following errors in my log file: Mar 22 05:33:11 xentest libvirtd: 05:33:11.518: error : failed Xen syscall topology cpuset syntax error Mar 22 05:33:21 xentest libvirtd: 05:33:21.418: error : failed Xen syscall topology cpuset syntax error Mar 22 05:33:41 xentest libvirtd: 05:33:41.274: error : failed Xen syscall topology cpuset syntax error Mar 22 05:33:41 xentest libvirtd: