predict: Get the predicted values of a model and visualize it
In BETS: Brazilian Economic Time Series

Description Usage Arguments Value Author(s)

This function is built upon forecast. Besides the model predictions, it returns an accuracy measure table (calculated by the accuracy function) and a graph showing the original series, the predicted values and the actual values.

1 2	predict(..., actual = NULL, main = "", ylab = "", xlim = NULL, style = "dygraphs", unnorm = NULL, legend.pos = "topright", knit = F)

`...`	arguments passed on to forecast. If the model is a neural network, these arguments will be passed on to grnn.test.
`actual`	A `numeric vector`. The actual values (to be compared with predicted values).
`main`	A `character`. The name of the prediction plot.
`ylab`	A `character`. The Y axis label.
`xlim`	A `numeric vector`. The limits of the X axis.
`style`	A `character`. Can be either 'dygraphs' (the dygraph function will be use to make the plot, which is going to be HTML based) or 'normal' (standard R functions will be used to make the plot)
`unnorm`	A `numeric vector`. If predictions must be unnormalized, set the first element of this vector to the mean and the second, to the standard deviation.
`legend.pos`	A `character`. The position of the legend. Possible values are standard R plot values, i.e., "topright', "bottomleft', etc.
`knit`	A `boolean`. Set this parameter to `TRUE` if

Besides the prediction plot, this function returns an object whose fields are:

accuracy: An object returned by accuracy. It is a table containing several accuracy measures
predictions: A numeric vector containing the predicted values.

Talitha Speranza talitha.speranza@fgv.br

BETS documentation built on May 1, 2019, 7:48 p.m.