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:
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
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