SAM (FSharp.Stats)

SAM Module

Type/Module	Description
Permutations
S0
SAMHelper
SAM<'id>	Type that contains all info regarding SAM for each sample
SAMResult<'id>	SAM Result containing all information

Function or value	Description
`getObservedStats s0 dataA dataB` Full Usage: `getObservedStats s0 dataA dataB` Parameters: s0 : `float` dataA : `('id * float[])[]` dataB : `('id * float[])[]` Returns: `SAM<'id> array`	t-test statistic for observed statistics, used as default. s0 : `float` dataA : `('id * float[])[]` dataB : `('id * float[])[]` Returns: `SAM<'id> array`
`medianCentering data` Full Usage: `medianCentering data` Parameters: data : `('a * float[]) array` Returns: `float[][]`	median centering of the data data : `('a * float[]) array` Returns: `float[][]`
`twoClassUnpaired iterations fdr data1 data2 rnd` Full Usage: `twoClassUnpaired iterations fdr data1 data2 rnd` Parameters: iterations : `int` fdr : `float` data1 : `('a * float[])[]` data2 : `('a * float[])[]` rnd : `Random` Returns: `SAMResult<'a>`	default version of SAM. Two class unpaired calculation. Rnd can be either System.Random() or System.Random(seed). iterations : `int` fdr : `float` data1 : `('a * float[])[]` data2 : `('a * float[])[]` rnd : `Random` Returns: `SAMResult<'a>`