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 (
Optional[ndarray] (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:
- Returns:
corr Correlation coefficient