Hi, I'm new at R programming and I need help to solve this problem.
The objective is to predict the change of the value of the Close variable: D(t) =Close(t) – Close(t-1) for a given day t, using the known data until t-1 to generate the prediction model. We can use univariate and multivariate models of temporal series as well as machine Learning/data mining. All the data are available in the cotton2.csv (future prices of cotton) . Date – day of the values Open – value at market opening High – highest value from that day Low – lowest value from that day Close – value at market closing time Volume – total number of exchanges made (sale/trade) of cotton during that day Prices are in indian rupees (INR) for every cotton bale. The many numerical variables can be assumed to be daily temporal series. Cotton2.csv <https://drive.google.com/file/d/1kksxDVqraLxMkJ4PcvHsZUfUx0imDne4/view?usp=sharing> [[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.
