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Hello to everyone! I have a question for you..I need to predict multivariate time series, for example sales of 2 products related one to the other, having the 2 prices like inputs.. Is there in R a function to do it? I saw dse package but I didn't find what a I'm looking for.. Could anyone help me? Thank you very much Giusy -- View this message in context:

Hello, I have a problem.. I'm trying to make R communicate with MySQL, but I always receive an error.. My code is: library(DBI) library(RMySQL) drv <- dbDriver("MySQL") conn<-dbConnect(drv,username="####",password="####",dbname="prova",host="localhost") and I receive this message: Errore in function (classes, fdef, mtable) :

Hello, my name is Giusy and it's the first time I post in this forum. I'm a beginner with R, I have to use it to analyse time series and I need some help about these problems: 1. In my time series there are some NA values, but functions (arimaId, arima,..) seem not to work in this case...what could I do? 2. I have to manage with time series with more than one seasonality, for example

Hello, I'm starting with data analysis with R, and I'd like to know if there is in any package a function to have price elasticity of an item. For example I have information about sale quantity and price, and I want to know if the series is sensitive to the price. Sale Quantity Price 34 4$ 23 4$ 46 5$ 21

Hello, I have a question about function arima.sim I tried to somulate a AR(1) process, with no innovation, no error term. I used this code: library(forecast) e=rnorm(100,mean=0,sd=0) series=arima.sim(model=list(ar=0.75),n=100,innov=e)+20 Then I tried to applicate ti this series auto.arima function: mod1<-auto.arima(series,stepwise=FALSE,trace=TRUE,ic='aicc') The best model returned