hanaml.WhiteNoiseTest {hana.ml.r} | R Documentation |
hanaml.WhiteNoiseTest is a R wrapper for PAL white noise test.
hanaml.WhiteNoiseTest(conn.context, data, key = NULL, endog = NULL, lag = NULL, probability = NULL, thread.ratio = NULL)
conn.context |
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data |
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key |
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endog |
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lag |
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probability |
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thread.ratio |
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hanaml.WhiteNoiseTest is used to identify whether a time series is a white noise series. If white noise exists in the raw time series, the algorithm returns the value of 1. If not, the value of 0 will be returned.
Returns a DataFrame:
DataFrame
Result of the forecast accuracy measurement, structured as follows:
STAT_NAME
: name of the accuracy measures.
STAT_VALUE
: values of the accuracy measures.
- WN: 1 for white noise, 0 for not white noise.
- Q: Q statistics defined as above.
- chi^2: chi-square distribution.
## Not run: Input data: > data$Collect() TIMESTAMP Y 1 0 1474 2 1 1356 3 2 826 4 3 1586 5 4 1010 6 5 1337 7 6 1415 8 7 1514 invoke the function: > wn <- hanaml.WhiteNoiseTest(conn, data, key = "TIMESTAMP", endog = "Y", lag = 3, probability = 0.9, thread.ratio = 0.2) Output: > wn$Collect() STAT_NAME STAT_VALUE 1 WN 1.000000 2 Q 2.469041 3 chi^2 6.251389 ## End(Not run)