plot_tsres: To compute and plot the residualsa and the ACF of an ARIMA...

In unimi-dse/9768672c: Basic analysis of Tesla data about sales in Europe

Description

This function allows to create three separate plots of the residuals, Partial autocorrelation (PAC) anc the count of an ARIMA model of a time series.

Usage

plot_tsres(ts_arima, n_degfree)

Arguments

ts_arima	A univariate time series with class 'Arima' object.
n_degfree	A number referred to the degrees of freedom for the residuals.

Value

Three plots (Residuals, ACF and count) or a character string referred to an argument error.

Examples

dataset<-data.frame('something'=c(...))
dataset_ts<-ts(dataset, ...)
arima_ts<-autoparam_tsarima(dataset_ts[,1])
plot_tsres(arima_ts, "ARIMA")

unimi-dse/9768672c documentation built on Feb. 16, 2020, 5:45 a.m.