# Function quantileSeq Compute the prob order quantile of a matrix or a list with values. The sequence is sorted and the middle value is returned. Supported types of sequence values are: Number, BigNumber, Unit Supported types of probability are: Number, BigNumber In case of a (multi dimensional) array or matrix, the prob order quantile of all elements will be calculated. ## Syntax ```js math.quantileSeq(A, prob[, sorted]) math.quantileSeq(A, [prob1, prob2, ...][, sorted]) math.quantileSeq(A, N[, sorted]) ``` ### Parameters Parameter | Type | Description --------- | ---- | ----------- `data` | Array, Matrix | A single matrix or Array `probOrN` | Number, BigNumber, Array | prob is the order of the quantile, while N is the amount of evenly distributed steps of probabilities; only one of these options can be provided `sorted` | Boolean | =false is data sorted in ascending order ### Returns Type | Description ---- | ----------- Number, BigNumber, Unit, Array | Quantile(s) ## Examples ```js math.quantileSeq([3, -1, 5, 7], 0.5) // returns 4 math.quantileSeq([3, -1, 5, 7], [1/3, 2/3]) // returns [3, 5] math.quantileSeq([3, -1, 5, 7], 2) // returns [3, 5] math.quantileSeq([-1, 3, 5, 7], 0.5, true) // returns 4 ``` ## See also [median](median.md), [mean](mean.md), [min](min.md), [max](max.md), [sum](sum.md), [prod](prod.md), [std](std.md), [variance](variance.md)