similar to: Question on getting a data from dataframe

Hola, Lo hice de la forma en que propones y no me sale, no sé si algo esté mal con R, porque no me respeta ni el ?key.space?, me lo sigue poniendo en la parte izquierda del gráfico Saludos El 06/05/2014, a las 02:21, Olivier Nuñez <onunez en unex.es> escribió: > El segundo argumento en spplot ha de definir el número/nombre del intervalo al que > pertenece el area a pintar. >

Hi Ivan, Thank you for your message. Does that mean that I should send a new message? Or is it okay for this time? Best, Aristide On Fri, Nov 1, 2024, 22:29 Ivan Krylov <ikrylov at disroot.org> wrote: > Hi Aristide and welcome to R-help! > > Your message was a bit mangled [*]. It's best to compose messages to > this mailing list in plain text. Otherwise (when composed in

Hi Aristide and welcome to R-help! Your message was a bit mangled [*]. It's best to compose messages to this mailing list in plain text. Otherwise (when composed in HTML), the mailing list eats the HTML part and we're left with the plain text part automatically generated by your mailer, which isn't always readable. ? Wed, 30 Oct 2024 17:45:29 +0100 Elys?e Aristide <ariel92and at

Hola, El problema con la propuesta de Olivier es que los intervalos son diferentes para cada variable. La forma sencilla y rápida es: spplot(zm["part88"], col.regions=plotclr, at=class$brks) Pero para que quede más elegante hay que dar algunos pasos más: ## Intervalos en forma character op <- options(digits=4) tab <- print(class) options(op) intChar <- names(tab) ## Indice

Hi everyone, I am using the gmm function from the gmm package and encountered an unexpected error. No model can be estimated if I load formula.tools?I need to restart R each time. Here is a simple reproducible example: *library(gmm)data(Finance)r <- Finance[1:300, 1:10]rm <- Finance[1:300, "rm"]rf <- Finance[1:300, "rf"]z <- as.matrix(r-rf)zm

Hola, no me funciona: Te contesto lo mismo que le contesté a otro compañero de la lista, espero ser más claro. Les comparto la carpeta con la capa y los datos que estoy usando. https://www.dropbox.com/s/umy0evt3qm1wr4d/dissolve.zip Esto es lo que estoy haciendo: library(rgdal) library(maptools) library(sp) library(classInt) library(RColorBrewer) zm <- readOGR(?.?, ?zmdis?) data <-

I started to check what I thought I knew with autocovariance and it doesn’t jive with the the calculations given by ‘R’. I was wondering if there is some scaling or something that I am not aware of. Take the example Ø d <- 1:10 Ø (a <- acf(d, type="covariance", demean=FALSE, plot=FALSE)) Autocovariances of series ‘d’, by lag 0 1 2 3 4 5 6

Hola, Intento representar en un mapa participaciones porcentuales de los sectores económicos y no logro hacerlo con spplot. He intentado con spplot(zm, c(?part88?, ?part93?), cuts=4, col.regions=brewer.pal(4, ?Set3?)) Lo pude hacer utilizando el base graphics de R, definiendo: > plotvar88 <- zm$part88 > nclr <- 8 > plotclr <- brewer.pal(nclr, "PuOr") > plotclr

I am simulating an ANOVA model and get a strange behavior from the summary function. To be more specific: please run the following code and see for yourself: the summary()[["r.squared"]] values of two identical models are quite different!! ## 3 x 3 ANOVA of two factors x and z on outcome y s.size <- 300 # the sample size p.z <- c(0.25, 0.5, 0.25) # the probabilities of factor z ##

Hello expeRts, I need generate symbolize the autocovariances matrix of a Gaussian ARMA(1,1), for derivate it and evaluate. I try this codes, but whitout sucess vacv<-NULL vacv[1]<-1-2*phi*theta-theta^2 vacv[2]<-(1-phi*theta)*(phi-theta) vacv[3:n]<-acv[2]*(phi^(1:(n-2))) facv<-list() for(i in 1:2)

Inthe code below I was trying to to obtain the GMM estimates for CAPM (REGRESSION) for 36 stocks each have 180 observations,however it only gives me one output rather than 36. In SAS i would just put in a *By statement*. I have a variable TICKER that categorize them into 36 groups. *How can I obtain all 36 output instead of just one.* **

Hi, I would like to restart the conversation regarding adding SVE support to LLVM. This time I am framing things from the code generation point of view because our immediate priority is llvm-mc support rather than auto-vectorisation. Can you please review the following text outlining MVT changes we would like to make so SVE instructions can be added to the AArch64 Target. My overriding

This is yet another problem with the Nabble interface to the list. On Wed, Feb 29, 2012 at 6:21 PM, Richard M. Heiberger <rmh at temple.edu> wrote: > This line > > ?TT <- *Temp*+273.15 > makes it unexecutable. ?that is not the error you mentioned. On nabble, that variable is in bold. When it's reformatted for the plain-text email list, the formatting is converted to **

I am having problems with trying to run R from a crontab job. I have a c-shell file that calls the R script. I get an error concerning the X11 display (see below). I have included the c-shell file and the output from the crontab job. It appears that my DISPLAY environmental variable is not set. Is that necessary, even when the output of the plot command is to a png file? Can someone tell me how to

I just noticed that my Dual core mobile AMD ZM-82 is only showing one processor in /proc/cpuinfo and not two. Is there a reason? I am running centos 5.2 x86_64. uname -a Linux demobox.msgnet.com 2.6.18-92.el5 #1 SMP Tue Jun 10 18:51:06 EDT 2008 x86_64 x86_64 x86_64 GNU/Linux Jerry -------------- more /proc/cpuinfo processor : 0 vendor_id : AuthenticAMD cpu family : 17 model

Hi, I have coding question on mixed model in R. I am using R2.11.0 in windows. I have an experiment with 2 fixed effect factors - A and B. The levels of B are within the levels of A factor. The model is very similar to a split plot design except the nesting relationship between the 2 fixed effect factors. For example: there are 2 levels for A - GM and ZM. There are 7 levels of B in total

Hola, Estoy tratando de sobreponer un mapa sobre otro, uno que sirva de ?background? y otro con datos. Mi primer intento lo hice usando el paquete PBSmapping. Aquí lo que hice: library(PBSmapping) estados <- importShapefile(?Entidades_2013.shp") #Aquí cargamos las entidades federativas (32 entidades) zonas <- importShapefile(?zm.shp?) #Aquí cargamos las zonas metropolitanas del país

Nav?tivte na?e webov? str?nky infotigra a objevte, jak JEDNA jedin? mal? modr? pilulka m??e do?ivotn? zm?nit VA?I sexu?ln? v?konnost! ? V??en? z?kazn?k! V?deck? testy prok?zaly, ?e TIGRA funguje l?pe ne? jak?koli jin? pilulka. Test na 800 mu??ch ve v?ku 21 a? 80 let prok?zal ohromuj?c? v?sledky: ? 1. A? o 71 % siln?j?? touha

Hi, I have a question on generating random variables based on zipf-mandelbrot distribution. So when I execute the following lines: ZM = lnre ("zm", alpha = 2/3, B=0.1) zmsample = rlnre (ZM, n =100) zmsample It generates 100 random values based on a zipf-mandelbrot distribution as below. But how do I make sure the generated random number is within the range of 1 - 6000 only? Can I

This is significant because it's a plugin which was from the last stable release containing undefined symbols (in the internal plugins). $ ldd -r tests/old-plugins/x86_64/Linux/v1.18.2/nbdkit-file-plugin.so linux-vdso.so.1 (0x00007ffe86cdd000) libgcc_s.so.1 => /lib64/libgcc_s.so.1 (0x00007f551b3e5000) libc.so.6 => /lib64/libc.so.6 (0x00007f551b21b000) /lib64/ld-linux-x86-64.so.2