corrgram {BETS}  R Documentation 
Plot the ACF or the PACF of a time series
Description
Plot correlograms using plot.ly and several other options that differ theses plots from forecasts ACF and PACF.
Usage
corrgram(ts, lag.max = 12, type = "correlation", mode = "simple",
ci = 0.95, style = "plotly", knit = F)
Arguments
ts 
An object of type ts or xts . The time series for which the plot must be constructed.

lag.max 
A numeric value. The number of lags to be shown in the plot.

type 
A character . Can be either 'correlation' (for the ACF) or 'partial' (for the PACF).

mode 
A character . Set this parameter to 'bartlett' if you want the variance to be calculated according to Bartlett's formula. Otherwise, it is going to be simply equal to 1/sqrt(N) .

ci 
A numeric value. The confidence interval to be shown in the plot.

style 
A character . Set this parameter to 'normal' if you want it made with ggplot2 or to 'plotly' if you want to be a plotly object.

knit 
A boolean . If you're using this function to exhibit correlograms on a R dynamic report, set this parameter to true.

Value
A plot and a vector
containing the correlations.
Author(s)
Talitha Speranza talitha.speranza@fgv.br
[Package
BETS version 0.4.9
Index]