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rggplot2forecast

acf function and ggAcf function giving a different outcome

I was using the following code for analyzing a time series

require(tidyverse)
require(forecast)
frame <- scan("http://robjhyndman.com/tsdldata/data/fancy.dat") %>%
  ts(frequency = 12, start = c(1987, 12))
frame_auto_differentiated <- diff(diff(frame, lag = 12))
ggAcf(frame_auto_differentiated, type = 'correlation')
acf(frame_auto_differentiated)

and I receive the following outcome: enter image description here

enter image description here

Is there any argument that I should change? I do believe the acf function is giving the correct outcome.

Solution

  • stats.stackexchange.com/a/57574/90705 Here's the answer to it. It wasn't actually a problem with the functions :), just a different specification on the functions