perm_test¶
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hyppo.tools.perm_test(calc_stat, x, y, reps=1000, workers=1, is_distsim=True, perm_blocks=None, random_state=None)¶
- Permutation test for the p-value of a nonparametric test. - This process is completed by first randomly permuting \(y\) to estimate the null distribution and then calculating the probability of observing a test statistic, under the null, at least as extreme as the observed test statistic. - Parameters
- calc_stat ( - callable) -- The method used to calculate the test statistic (must use hyppo API).
- x,y ( - ndarray) -- Input data matrices.- xand- ymust have the same number of samples. That is, the shapes must be- (n, p)and- (n, q)where n is the number of samples and p and q are the number of dimensions. Alternatively,- xand- ycan be distance or similarity matrices, where the shapes must both be- (n, n).
- reps ( - int, default:- 1000) -- The number of replications used to estimate the null distribution when using the permutation test used to calculate the p-value.
- workers ( - int, default:- 1) -- The number of cores to parallelize the p-value computation over. Supply- -1to use all cores available to the Process.
- is_distsim ( - bool, default:- True) -- Whether or not- xand- yare distance or similarity matrices.
- perm_blocks ( - ndarray, default:- None) -- Defines blocks of exchangeable samples during the permutation test. If- None, all samples can be permuted with one another. Requires n rows. Constructs a tree graph with all samples initially at the root node. Each column partitions samples from the same leaf with shared column label into a child of that leaf. During the permutation test, samples within the same final leaf node are exchangeable and blocks of samples with a common parent node are exchangeable. If a column value is negative, the resulting block is unexchangeable.
 
- Returns
 
 
 
