scmorph.pp.corr

scmorph.pp.corr(X, Y=None, method='pearson', M=5)

Compute pairwise correlations

Parameters:

X ndarray

One or two 1-D or 2-D arrays containing multiple variables and observations. When these are 1-D, each represents a vector of observations of a single variable. In the 2-D case, each row is assumed to contain an observation. Both arrays need to have the same length.

Y ndarray | None (default: None)

One or two 1-D or 2-D arrays containing multiple variables and observations. When these are 1-D, each represents a vector of observations of a single variable. In the 2-D case, each row is assumed to contain an observation. Both arrays need to have the same length.

method str (default: 'pearson')

One of “pearson”, “spearman”, or “chatterjee” ([[Lin and Han, 2021]]_)

M int (default: 5)

Number of right nearest neighbors to use for Chatterjee correlation.

Return type:

ndarray

Returns:

corr Correlation coefficient