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Time series and forecasting in R - maths …

time series and forecasting in R 1 time series and forecasting in R 2. Outline time series and forecasting 1 time series objects in R 2 Basic time series functionality 3 The forecast package Rob J Hyndman 4 Exponential smoothing 29 June 2008. 5 ARIMA modelling 6 More from the forecast package 7 time series packages on CRAN. time series and forecasting in R time series objects 4 time series and forecasting in R time series objects 5. Australian GDP Australian GDP. ausgdp <- ts(scan(" "),frequency=4, 7500. start=1971+2/4) > plot(ausgdp). Class: ts 7000. Print and plotting methods available. > ausgdp 6500. Qtr1 Qtr2 Qtr3 Qtr4. ausgdp 6000. 1971 4612 4651. 1972 4645 4615 4645 4722. 5500. 1973 4780 4830 4887 4933. 1974 4921 4875 4867 4905. 5000. 1975 4938 4934 4942 4979. 4500. 1976 5028 5079 5112 5127. 1975 1980 1985 1990 1995. 1977 5130 5101 5072 5069. time 1978 5100 5166 5244 5312. 1979 5349 5370 5388 5396. 1980 5388 5403 5442 5482.

Time series and forecasting in R 1 Time series and forecasting in R Rob J Hyndman 29 June 2008 Time series and forecasting in R 2 Outline 1 Time series objects 2 ...

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