search for: danielepippo

Hi everyone, I'm building a matrix in R with a cycle for like this: pp_ris2=matrix(NA,6,6) for(i in 0:6){ for(j in 0:6){ if(i>j){ pp_ris2[i,j]=myfunction} else if(i==j){ print(c(i,j)) pp_ris2[i,j]=myfunction} }} but the result is: [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.062 NaN NaN NaN NaN NaN [2,] 0.083 0.022 NaN NaN NaN NaN [3,]

Hi R users. I've got a problem in producing the pdf file from Latex with R code. When I run the code Sweave("example.Rtex") in R it seems working, but when I run the Latex file it doesn't. The code error shown to me is below: *Runaway argument? {echo=FALSE} data<- read.csv("C:\\Users\\Daniele\\Desktop\\dati\\dati_england ! File ended while scanning use of \FV at

Hi everybody. I'm trying to use R with Sweave but I have a problem perhaps with the directory path of sweave in R. The windows path is this: C:\Program Files (x86)\R\R-2.9.2\share\texmf\Sweave When I run the latex file with R, the program works well, without any errors, but when I create the pdf file, the Scode doesn't work. I think the problem is about the path. Can anybody suggest to

Hi, I have two vector with the marginal distribution like this: > a [1] -0.419 -0.364 -0.159 -0.046 -0.010 -0.002 0.000 0.000 0.000 > b [1] 0.125 0.260 0.270 0.187 0.097 0.041 0.014 0.004 0.001 How can I calculate the joint distribution with R? Thank you to all Dan -- View this message in context: http://r.789695.n4.nabble.com/Joiny-probability-with-R-tp3314059p3314059.html Sent

Hi R-users, I'm trying to built a plot of two series of data, but thees series result "superimposed". The R-code is like this: goal <- c(125, 143, 81, 26, 2, 3) numgoal <- 0:5 lambda <- sum(goal*numgoal)/sum(goal) plot(numgoal, goal, type="h") x <- 0:5 y<-dpois(x, lambda) att<-y*380 lines(x,att, type="h", col="red")

Dear R-users, I have to plot a exponential distribution like the plot in the pdf attached. I've write this code but I don't know how to draw the two lines.. Can anyone help me please? Thank you very much Pippo http://r.789695.n4.nabble.com/file/n3394476/exponential_smoothing.pdf exponential_smoothing.pdf -- View this message in context: