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These empirical cluster values were compared to a distribution of surrogate clusters.
These empirical cluster values were compared to a distribution of surrogate clusters to correct for multiple comparisons.
The resulting cluster values were ordered and the first ranking number was considered as the most likely value for the next trial.
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This led to the construction of an abundance matrix at various clustering values as explained above where each column was a given sample and each line a cluster, values being either the number of occurrences of the tag in the sample, or simply 1 or 0 to indicate presence or absence of sequences belonging to that cluster.
Reactions with times more than 2 standard deviations beyond the mean cluster value were considered failures and repeated.
For both AEP and PEP, the footprint clustering values were smaller for faster flies, suggesting that animals have more spatially restricted steps as they increase their speed.
A cluster value was derived in stage 2, for each cluster surviving stage 1, by summing all of the t-values of all data points (voxels) within the cluster.
In stage 2, time frequency bins that survived the threshold were clustered with temporally and/or spectrally neighboring bins that were also above the (P < 0.05) threshold, and a cluster value was derived by summing all of the t-values of all data points in the cluster.
Not least, cooperation beyond institutional borders works well and individual clustering values are low: persons are not always connected to the same clusters.
We also found that AEP clustering values are generally smaller than PEP clustering values, suggesting a tighter motor control at touchdown (AEP) compared to stance offset (PEP).
The footprint clustering value is calculated as the vector sum of the two STD values (orange arrow).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com