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The solid black line indicates fitted curve using exponential function from all subjects' data points.
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The solid lines in Fig. 8a e indicate fits to the observed time-dependent magnetization.
The indices of NFI, NNFI, CFI, IFI, and RFI were all higher than.90, indicating fit of the model.
The ranks for RH, CAE and DVE were added to make the TIMES rank indicating fit of clade heights, and MF, TLL and CLL ranks added to make MODEL rank indicating fit of topology.
The overall Chi-square statistics was 16.48, df =12, p = 0.17 indicating fit to the Rasch model.
Although the chi-square test was significant [chi square (64) = 96.56, p =.005], the other fit indices indicated good fit.
Solid lines indicate the fitted curves.
The smaller the SRMR, the better the model fit (<0.80 indicates good fit).
The normed model chi-square (χnormed) is reported with lower values of the overall model chi-square indicating goodness-of-fit (<3.00 indicates good fit).
Model fit was tested with the comparative fit index (≥0.95 indicates good fit), the root mean square error of approximation (≤0.06 with CI 0.00 0.08 indicates good fit), and the standardized root mean square residual (<0.08 indicates acceptable fit, and 0 indicates perfect fit) (36).
Red lines indicate best fits for ordinary least-squares regressions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com