Análisis de series temporales Modelo ARIMA con el programa R

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=Kk0Umk9B1wA

Video that explains the procedure of analysis of time series using Rcmnr. • 1. Install Rcmndr • to. Http://www.rcommander.com/ •  names.available.packages * - rownames (available.packages ()) •  Rcmdr.related.packages * - names.available.packages [grep ( Rcmdr , names.available.packages)] Rcmdr.related.packages •  install.packages (pkgs = Rcmdr.related.packages) • • http://ipsur.r-forge.r-project.org/rc... •  install.packages ( RcmdrPlugin.IPSUR , repos = http://cran.r-project.org , dep = TRUE) • 2. Install the following packages. • to. Install.package (PerformanceAnalytics) • B. Install.package (quantmod) • C. Install.package (rugarch) • D. Install.package (FinTS) • and. Install.packages ( fGarch ) • 3. We load the packages • to. Library (PerformanceAnalytics) • B. Library (quantmod) • C. Library (rugarch) • D. Library (car) • and. Library (FinTS) • F. Library ( fGarch ) • 4. Load the database. • 5. Brief analysis of the series (graphics, fac and facp) • 6. Identification and modeling of the ARIMA SAR SMA process • 7. Analysis of residues and compliance with stationarity hypotheses • to. (Graphics, fac and facp) • 8. Prediction • to. Prediction graphs • • (There are some * in the first few lines what happens is that yotube does not let put the symbol of lesser so it changes * by less in the console of R)

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