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Equation (40) is used to check the variance of each cluster when the -means algorithm converges.
To check the variance from the effect of RNA-Seq technology on the mutant and wild-type samples, we extracted another set of duplicate samples on Day 12, and the same process was carried out as the previous experiment group.
As a second check, the variance inflation factor (VIF) was used with the final model to verify that multicollinearity was not significantly influencing model coefficients [ 34, 35].
As a second check, the variance inflation factor was used with the final model to verify that multicollinearity was not significantly influencing model coefficients.
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To examine the multi-collinearity of the regression model, we checked the variance inflation factor.
Next, we checked the variance inflation factor (VIF; Zuur et al., 2007).
Interactions between different variables were checked and colinearity diagnostics was done by checking the variance inflation factor.
Testing the Goodness of fit, which included checking the variance between counties, was also conducted on the final and above described random intercept model.
Because the regression coefficients may be compromised by collinearity, we checked the variance inflation factor (VIF) as an indicator for collinearity.
The residuals were used to check the homogeneous variance assumption by plotting the (studentized) residuals against the predicted probability values.
The Residual versus Predicted Plot was used to check the constant variance of residuals; a random scatter was observed with no systematic trends, although a slight fanning of the residuals could be considered.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com