Hi everyone,
I'm trying to include an external regressor in my ARIMA model but am having
some problems with the data format in R. I've named my dependent variable of
interest "count" and the external regressor "abc". The
external regressor is a binary variable. Here are the contents of
"abc" and the model I've attemped (along with its error message):
> abc
[1] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0
[32] 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0
[63] 0 0 1 1 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1
[94] 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0
[125] 1 0 0 0 1 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0
[156] 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 1 1 0 0 0
[187] 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0
[218] 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0
[249] 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0
[280] 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0
[311] 0 1> model <- arima(count, order=c(0,1,2), seasonal=list(order=c(1,0,0),
period=52), include.mean=FALSE, method="ML", xreg=abc)
> model
Series: count
ARIMA(0,1,2)(1,0,0)[52]
Regression variables fitted:
Error in as.vector(x, mode) : cannot coerce to vector
I don't quite get the error message as I thought my external regressor
variable is already stored in a vector. Any thoughts? Thanks in advance!
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