Overload List
| # | Signature | Description |
|---|---|---|
| 1 | Double HypGeometricCDF(Int32 x, Int32 M, Int32 K, Int32 N) | Hypergeometric cumulative distribution function (CDF). |
| 2 | void HypGeometricCDF(TMtxVecInt X, Int32 M, Int32 K, Int32 N, TDenseMtxVec Res) | Hypergeometric distribution CDF (vectorized). |
Overload 1: Double HypGeometricCDF(Int32 x, Int32 M, Int32 K, Int32 N)
Hypergeometric cumulative distribution function (CDF).
| # | Name | Description |
|---|---|---|
| 1 | x | Distribution domain, integer on the closed interval [0,N]. |
| 2 | M | Total number of elements in the population, M>=0. |
| 3 | K | Number of elements with the desired trait, 0<=K<=M. |
| 4 | N | Number of samples drawn without replacement, 0<=N<=M. |
Returns: Double - the hypergeometric cumulative distribution function (CDF) at x for population M, K success states and N draws. Returns NAN on parameter violations.
Remarks:
Computes the hypergeometric CDF, the probability of drawing up to x of the K success items in N draws without replacement:
CDF(x| M,K,N)=sum_(j=0)^x(dbinomKjdbinomM-KN-j)/dbinomMN
The result is NaN when x<0, .
Overload 2: void HypGeometricCDF(TMtxVecInt X, Int32 M, Int32 K, Int32 N, TDenseMtxVec Res)
Hypergeometric distribution CDF (vectorized).
| # | Name | Description |
|---|---|---|
| 1 | X | Distribution domain, with integer values on closed interval [0,N]. |
| 2 | M | Defines total number of elements, valid values ae integers on closed interval [0,X]. |
| 3 | K | Defines number of elements with certain traits, valid values are integers on closed interval [X,M]. |
| 4 | N | Defines number of samples, valid values are integers on closed interval [X,M]. |
| 5 | Res | After calculation stores the CDF calculated from X, K, M and N. Length and Complex properties of Res are adjusted automatically to match Length and Complex properties of X. |
Result: stored in self (calling object)