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SOLR-12913: Add recip and expand percentile docs
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@ -130,8 +130,8 @@ When this expression is sent to the `/stream` handler it responds with:
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The following scalar math functions are available in the math expressions library:
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`abs`, `add`, `div`, `mult`, `sub`, `log`,
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`abs`, `add`, `div`, `mult`, `sub`, `log`, `log10`,
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`pow`, `mod`, `ceil`, `floor`, `sin`, `asin`,
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`sinh`, `cos`, `acos`, `cosh`, `tan`, `atan`,
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`tanh`, `round`, `precision`, `sqrt`, `cbrt`
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`tanh`, `round`, `precision`, `recip`, `sqrt`, `cbrt`
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@ -321,6 +321,41 @@ When this expression is sent to the `/stream` handler it responds with:
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}
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----
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The `percentile` function also operates on an array of percentile values.
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The example below is computing the 20th, 40th, 60th and 80th percentiles for a random sample
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of the *response_d* field:
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[source,text]
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----
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let(a=random(collection2, q="*:*", rows="15000", fl="response_d"),
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b=col(a, response_d),
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c=percentile(b, array(20,40,60,80)))
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----
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When this expression is sent to the `/stream` handler it responds with:
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[source,json]
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----
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{
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"result-set": {
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"docs": [
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{
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"c": [
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818.0835543394625,
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843.5590348165282,
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866.1789509894824,
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892.5033386599067
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]
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},
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{
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"EOF": true,
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"RESPONSE_TIME": 291
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}
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]
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}
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}
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----
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== Covariance and Correlation
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Covariance and Correlation measure how random variables move
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@ -543,6 +578,8 @@ array.
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* `cbrt`: Returns a numeric array with the cube root of each element of the original array.
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* `recip`: Returns a numeric array with the reciprocal of each element of the original array.
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Below is an example of a ttest performed on log transformed data sets:
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[source,text]
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@ -661,6 +698,47 @@ When this expression is sent to the `/stream` handler it responds with:
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}
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----
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Vectors that have been transformed with the `recip` function can be back-transformed by taking the reciprocal
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of the reciprocal.
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The example below shows an example of the back-transformation of the `recip` function.
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[source,text]
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----
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let(echo="b,c",
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a=array(100, 200, 300),
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b=recip(a),
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c=recip(b))
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----
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When this expression is sent to the `/stream` handler it responds with:
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[source,json]
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----
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{
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"result-set": {
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"docs": [
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{
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"b": [
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0.01,
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0.005,
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0.0033333333333333335
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],
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"c": [
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100,
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200,
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300
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]
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},
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{
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"EOF": true,
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"RESPONSE_TIME": 0
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}
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]
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}
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}
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----
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== Z-scores
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The `zscores` function converts a numeric array to an array of z-scores. The z-score
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@ -696,5 +774,4 @@ When this expression is sent to the `/stream` handler it responds with:
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]
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}
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}
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----
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----
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