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June 19, 2020 18:13
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Understanding Time Series Analysis with R - Snippet 9
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| #Linear model | |
| model <- lm(formula = DES ~ t, dfOut) | |
| #Predictions | |
| f <- predict(object = model, newdata = data.frame(t=dfOut[, 1])) | |
| dfOut <- data.frame(dfOut, f=f) | |
| #New prediction accounting for seasonality | |
| predictions <- dfOut[, 7]*dfOut[, 5] | |
| dfOut <- data.frame(dfOut, predictions = predictions) |
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