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Ferdi
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I've been trying to create an ARIMA model however, I'm not sure how to determine if the data is stationary or not. I preformed a KPSS test in R using kpss.test from package tseries and these are the results:

KPSS Level = 1.966, Truncation lag parameter = 5, p-value = 0.01

Warning message: In kpss.test(coke[,5], null = "Level") : p-value smaller than printed p-value

KPSS Level = 1.966, Truncation lag parameter = 5, p-value = 0.01

Warning message:
In kpss.test(coke[,5], null = "Level") : p-value smaller than printed p-value

Will anyone that is more knowledgeable about the subject please help me interpret this?

I've been trying to create an ARIMA model however, I'm not sure how to determine if the data is stationary or not. I preformed a KPSS test in R and these are the results:

KPSS Level = 1.966, Truncation lag parameter = 5, p-value = 0.01

Warning message: In kpss.test(coke[,5], null = "Level") : p-value smaller than printed p-value

Will anyone that is more knowledgeable about the subject please help me interpret this?

I've been trying to create an ARIMA model however, I'm not sure how to determine if the data is stationary or not. I preformed a KPSS test in R using kpss.test from package tseries and these are the results:

KPSS Level = 1.966, Truncation lag parameter = 5, p-value = 0.01

Warning message:
In kpss.test(coke[,5], null = "Level") : p-value smaller than printed p-value

Will anyone that is more knowledgeable about the subject please help me interpret this?

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jlang
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Interpreting results of KPSS test in R

I've been trying to create an ARIMA model however, I'm not sure how to determine if the data is stationary or not. I preformed a KPSS test in R and these are the results:

KPSS Level = 1.966, Truncation lag parameter = 5, p-value = 0.01

Warning message: In kpss.test(coke[,5], null = "Level") : p-value smaller than printed p-value

Will anyone that is more knowledgeable about the subject please help me interpret this?