similar to: R strange behaviour when working with fifos

Hi, I'm trying to use pipes in R. By now, I could launch the linux command "wc" (to count words from a text), but I don't know how to capture the results, say in a vector of chars... Here is the R code I'm trying: :> f <- pipe("wc", open="w") :> writeLines(c("uno dos tres", "cuatro cinco", "seis"), f) :> close(f)

Hola: Si codificas "col1" como un factor, lo puedes cambiar todo de una vez renombrando los niveles correspondientes: > df$col1<-as.factor(df$col1) > df$col1  [1] uno   dos   3     4     cinco 6     siete 8     9     diez Levels: 3 4 6 8 9 cinco diez dos siete uno > levels(df$col1)[1:5] <-

Hola a todos, me ha gustado mucho la solución de Carlos, muy eficiente y muy ingeniosa al utilizar la funcion col() que o no la conocia o no me acordaba de ella. La parte mas "lenta" sigue siendo el apply que en el fondo no es mas que un ciclo for a traves de las filas, asi que inspirado por el metodo de Carlos pense que podria ser mas rapido si iteramos a traves de las columnas por lo

Hi all... I built a matrix binding vectors with rbind, and have something like this: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] CLS 3.877328 4.087636 4.72089 4.038361 3.402942 2.786285 2.671222 3.276419 ORD NaN NaN NaN NaN 5.770780 5.901113 11.888054 7.934823 FAM NaN NaN NaN NaN NaN 3.699455 4.551196 2.885390 GEN

Por último, utilizando la indexación lineal de matriz que propusó luisfo en su momento: > t <- Sys.time() > M=as.matrix(dat) > index <- which(!is.na(M)) - 1 > meses<-colnames(M) > M2<- data.table(columna=index %/% nrow(M) +1L, jugador=index %% nrow(M) +1L , valor=M[index+1L]) > setkey(M2,jugador,columna) >

Otra solución algo más rapida: > t <- Sys.time() > dat[,jugador:=1:.N] > dat2=melt(dat,id.vars="jugador") > setkey(dat2,jugador) > dat2[,index:=min(which(!is.na(value))),by=jugador] > dat2[,.(First_month=variable[index[1]],Value_First_month=value[index[1]]),by=jugador] jugador First_month Value_First_month 1: 1 Uno 0.93520715 2:

Imaginemos que tenemos una matriz con datos temporales por sujetos. Pongamos que numero de veces que ha jugado una carta en un juego online. Y que quiero saber cuantas veces jugo la carta el primer mes que estuvo en el juego. Pero claro mi matriz guarda los datos temporalmente de tal manera que: # data.table( Enero = c( 1, 4, NA , NA , NA) , Febrero = c( 2, 6, 1, NA, NA ) , Marzo = c( 8,6,7,3,

¡Buenas tardes! (en el continente americano): Tengo los resultados de cuatro muestreos de campo (cuatro cruceros oceanográficos) y quiero calcular la "d"de Cohen para todas las combinaciones posibles de los cuatro cruceros. Los paquetes de R que he encontrado solo permiten hacer el cálculo para un par de grupos. ¿Hay algo que pueda hacer para hacer el cálculo de las seis combinaciones

Creo que el problema se podría simplificar y aún obtener un resultado aceptable si simplemente haces un ajuste lineal en un entorno del punto. Como ya tienes los valores de los puntos de cada curva como dices Carlos, creo que con esa información podrías identificar un entorno adecuado en el cual ajustar linealmente. Cuéntanos como te va, Saludos !! Eric. On 24-08-20 12:52, Carlos Ortega

I am having a bit of a problem getting AMD to work on a new server. On my regular office server it works like a charm. I am running Asterisk 1.4.13, Zaptel 1.4.5.1 on both machines. Both servers run CentOS 5 and I am using a SIP trunk to send out calls (the same one on both servers). Here is the output of a call on my office server: -- Attempting call on Local/0445540881644 at CC2 for

If i use AMD() or the code below, now the problem is the fax machine/modem detection and answer machine detection get detected as the same. If i need to seperate the two how do i do that? For example, if i use AMD() to detect an answer machine by saying any greeting exceeding 2.5 seconds is a machine, how do i distinguish between a fax/modem and a long greeting? ---- dave cantera

We have an Asterisk server with a small outgoing call center. We use AMD and it usually works very well on Zap channels (E1 PRI). We added a couple of SIP trunks to reduce long distance costs but now AMD gets stuck when the call goes out through the SIP channels. Here is an example call using a SIP line: -- Executing [016566275538 at CC2:1] Set("Local/016566275538 at CC2-dad7,2",

Hallo all, I have the following glm model: f1 <- as.formula(paste("factor(y.fondi)~", "flgsess + segmeta2 + udm + zona.geo + ultimo.prod.", "+flg.a2 + flg.d.na2 + flg.v2 + flg.cc2", " +(flg.a1 + flg.d.na1 + flg.v1 + flg.cc1)^2", " + flg.a2:flg.d.na2 + flg.a2:flg.v2 +

Calling from PSTN let extension 601 ring twice, hang up and starts over again to ring twice, ... If I pickup I do not hear on extension 601, and on the PSTN it is still signaling to ring. Can anybody enlighten me, please? extension.conf [incoming_88097074] exten => s,1,Wait(1) ;wait to get caller ID in. exten => s,2,Dial(SIP/102,20) exten => s,3,Voicemail(u102) exten =>

Dear R community, I want to estimate coefficients in a (non-linear) system of equations using 'mle2' from the "bbmle" package. Right now the whole data is read in as just one long time series, when it's actually 9 cross sections with 30 observations each. I would like to be able to test and correct for autocorrelation but haven't found a way to do this in this package.

In the following code, the only difference between the two plots is the order the variables are plotted. In this case, the plot of "cdata.den" in plot #1 is different from its plot in #2. Specifically, "cdata.den" spans the x-axis from -5 to 30 in plot #1 and from 0 to 20 in plot #2. Does anyone understand why these two plots do not yield the same result? #Make density

Hello, while playing around with multiple fifo contexts I got fifo hangs when opening glxgears nr.3. The reason is that in drm/linux_core/nouveau_fifo.c l.342 engine->graph.create_context() returns -ENOMEM (I dont know why but I think this problems also appears with other errors). But the real problem is that then nouveau_fifo alloc() returns without reenabling fifo execution, so all fifos

http://bugzilla.mindrot.org/show_bug.cgi?id=856 Summary: scp hangs on FIFOs rather than erroring Product: Portable OpenSSH Version: 3.8p1 Platform: Other URL: http://bugs.debian.org/246774 OS/Version: Linux Status: NEW Severity: normal Priority: P2 Component: scp AssignedTo:

>Submitter-Id: current-users >Originator: Joao Carlos Mendes Luis >Organization: >Confidential: no >Synopsis: FreeBSD mknod refuses to create pipes and fifos >Severity: non-critical >Priority: low >Category: kern >Class: change-request >Release: FreeBSD 4.9-RC i386 >Environment: System: FreeBSD zeus.faperj.br 4.9-RC FreeBSD 4.9-RC #3: Sat Oct 25 17:54:52 BRST

https://bugzilla.mindrot.org/show_bug.cgi?id=1869 Summary: ssh-add can no longer read from FIFOs as of 5.7p1 Product: Portable OpenSSH Version: 5.8p1 Platform: All OS/Version: All Status: NEW Severity: normal Priority: P2 Component: ssh-add AssignedTo: unassigned-bugs at mindrot.org