Hello:
I have some trouble making a prediction from an AR(p) model. After I have the
AR(p) model fitted , I want to use a new data set to make predictions.
But I get the error: Error in newdata - object$x.mean : non-numeric argument
to binary operator.
A small version of my original data looks like:
X1
X2
X3
X4
40813.65
1
10
41.86755
40813.65
1
8
41.86755
40813.66
1
8
41.86755
40813.66
1
8
41.86755
40813.66
1
8
41.86755
40813.67
1
8
41.86755
40813.67
1
6
41.86755
40813.67
1
6
41.86755
40813.68
1
6
41.86755
40813.68
1
6
41.86755
40813.73
1
4
41.86755
Sh<-read.table("C:\\ Desktop\\Sh.txt",sep=",",header=TRUE)
model <- ar.yw(Sh[,3])
My new data looks like:
X3
10
8
8
8
8
8
6
6
6
6
4
4
4
4
4
4
4
4
4
4
5
5
me<-read.table("C:\\Users\\351240\\Desktop\\me.txt",sep=",",header=TRUE)
predict(model,me,n.ahead = 1)
Then I get the error: Error in newdata - object$x.mean : non-numeric argument
to binary operator.
Can someone help me please.
Thanks,
Ana Lucia
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