5. Stat

The sub-module FUSS.stat contains functions I use for statistical analysis.

Co-variance Matrix

The following 2 functions may later be removed as I now know of numpy.cov, which evaluates the co-variance matrix given data and weights.

cov_el():

Provides the value of one element of the co-variance matrix (so either a variance or the covariance depending on the indices specified).

Parameters

• j (int): Column number
• k (int): Row number
• q (1D Array): First data set.
• q_r (1D Array): Error on the first data set
• u (1D Array): Second data set.
• u_r (1D Array): Error on the second data set

/!\ q, q_r, u, u_r must all have the same dimension.

Returns

• Element C(j,k) of the Covariance matrix C