Perhaps I am looking at the wrong functionality for what I need.
I have a array of doubles, in which I am looking for outliers, given a
significance of, say, 0.95.
On 9/14/11 11:28 AM, Mck wrote:
Looking at the documentation for ANOVA, I see this sample code:
double[] classA = {93.0, 103.0, 95.0, 101.0, 91.0, 105.0, 96.0, 94.0,
101.0 };
double[] classB = {99.0, 92.0, 102.0, 100.0, 102.0, 89.0 };
double[] classC = {110.0, 115.0, 111.0, 117.0, 128.0, 117.0 };
List classes = new ArrayList();
classes.add(classA);
classes.add(classB);
classes.add(classC);
and then
TestUtils.oneWayAnovaPValue(classes);
Works fine. However, if I add only classA, I get a
IllegalArgumentException: ANOVA: two or more categories required
I do not understand why this was implemented this way. In my own code,
I have one array of double. It appears that I will have to
artificially split it into 2 parts to work with this. I could be
wrong, of course. Can someone please explain?
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