[R] Plot function: hourly data and x-axis
Hi all, I have a little problem with plot function.. I have an hourly dataset and I would like plot a variable with x-axis based on daily or monthly frequency, just to have a better visualization and avoid on x-axis all hours of the dataset. Do you know what is the solution? Thanks Edo [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] Lag function
I have an hourly database and I defined a variable as follows: time<-ts(data$variable, frequency=24) If i need to create the variables with one day lag, the corresponding command is lag(time,24)? Thank you [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] New post for Rhelp
I have a database based on hourly data and I need to forecast next 24h of a single variable. I was thinking about applying an ARIMA model with some exogenous variables but I don't succeed to configure the hourly frequency, estimate ARIMA parameters, pdq ( exists some tests to check which parameters are better for the model?) and the structure of the model in its easy form because I would also like to introduce some seasonality form by analyzing some variables I highlighted some daily and weekly behaviours similar. I recognize that it could be quite difficult the problem but if you have also some useful links or some codes that can help me, please send me. [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
