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Out of 45 data points there were no more than 6 data points deviating from the correlation.
For example, the number of data points that deviated from the expectation was 2,375 (0.7%).
A line passing through the first and third quartiles revealed points that deviated from a normal distribution (i.e. deviated from the quartile line).
More stringent threshold values for missing rates per SNP reduced the number of data points that deviated from expectation.
There were few data points that deviated from expectation with the threshold of 0.001 (Fig. 4 and Table V).
The abdominal cavity shows the greatest scatter of points deviating from the line.
Some experimental points slightly deviate from the trend, which might be caused by the experimental artifact.
If the data is asymmetric (i.e., far from normal), the points will deviate from the line.
In the α U ∗ MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacH8akY=wiFfYdH8Gipec8Eeeu0xXdbba9frFj0=OqFfea0dXdd9vqai=hGuQ8kuc9pgc9s8qqaq=dirpe0xb9q8qiLsFr0=vr0=vr0dc8meaabaqaciaacaGaaeqabaqabeGadaaakeaaiiGacqWFXoqydaqhaaWcbaGaemyvaufabaGaey4fIOcaaaaa@30A1@ - K plot, two datasets, SRBC and MLL, produce points which deviate from the rest.
In other words, the surfaces containing the midline points can deviate from the true plane of symmetry.
All secondary end points deviated from a normal distribution (P <0.05) in the RMANCOVA even after transformations (Table 6).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com