67 lines
1.2 KiB
Markdown
67 lines
1.2 KiB
Markdown
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---
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sidebar_position: 4
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title: Sample Set Distribution
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---
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### make
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```
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SampleSet.make: (distribution) => sampleSet
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SampleSet.make: (() => number) => sampleSet
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SampleSet.make: (list<number>) => sampleSet
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```
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### kde
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```
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SampleSet.kde: (sampleSet) => pointSetDist
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```
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### toEmpiricalPdf
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```
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SampleSet.toEmpiricalPdf: (sampleSet) => pointSetDist
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```
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### map
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```
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SampleSet.map: (sampleSet, (number => number)) => sampleSet
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```
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### map2
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```
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SampleSet.map2: (sampleSet, sampleSet, ((number, number) => number)) => sampleSet
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```
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### map3
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```
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SampleSet.map3: (sampleSet, sampleSet, sampleSet, ((number, number, number) => number)) => sampleSet
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```
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### correlation
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```
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SampleSet.correlation: (sampleSet, sampleSet) => number
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```
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### toInternalSampleArray
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```
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SampleSet.toInternalSampleArray: (sampleSet) => list<number>
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```
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Gets the internal samples of a sampleSet distribution. This is separate from the sampleN() function, which would shuffle the samples. toInternalSampleArray() maintains order and length.Gets the internal samples of a sampleSet distribution. This is separate from the sampleN() function, which would shuffle the samples. toInternalSampleArray() maintains order and length.
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**Examples**
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```
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toInternalSampleArray(toSampleSet(normal(5,2)))
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```
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