Passing confidence level to ACF plot

Question

I have the following time series data:

x <- ts(c(-3151, -873, 135, 825, 1531, -1420, -282, 
    2113, -916, -2222, -4654, -604, -1322, 
   -15457, 13835, 446, 1402, -1230, 1790, 1374, 1463))

By default the autocorrelation function plots lines at 95% confidence:

acf(x)

(see blue dashed lines in the picture below)

Is there a way to pass in 90% confidence levels to this plot instead of the default 95% levels? For instance, this does not work

acf(x, level=90)

Possible duplicate of [Adding Confidence Intervals to plotted ACF in ggplot2](https://stackoverflow.com/questions/42753017/adding-confidence-intervals-to-plotted-acf-in-ggplot2) — jay.sf, Feb 09 '19 at 17:56

score 2 · Accepted Answer · answered Feb 09 '19 at 18:20

2

Yes, there is a way. Looking at ?acf we see that there's ... meaning "further arguments to be passed to plot.acf". Checking ?plot.acf show that the following works:

acf(x, ci = 0.90)

answered Feb 09 '19 at 18:20

Julius Vainora

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Passing confidence level to ACF plot

1 Answers1