nimare.stats.one_way

one_way(data, n)[source]

One-way chi-square test of independence.

Takes a 1D array as input and compares activation at each voxel to proportion expected under a uniform distribution throughout the array. Note that if you’re testing activation with this, make sure that only valid voxels (e.g., in-mask gray matter voxels) are included in the array, or results won’t make any sense!

Parameters:

  • data (1D array_like) – Counts across voxels.

  • n (int) – Maximum possible count (aka total number of units) for all cells in data. If data is n_voxels long, then n is the number of studies in the analysis.

Returns:

chi2 – Chi-square values

Return type:

numpy.ndarray

Notes

Taken from Neurosynth.