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The means plot provides an easy way to compare the means scores for different groups.
Longitudinal data from the OSS were log-transformed and analyzed using repeated-measures analysis of variance, followed by Dunn's post-hoc testing for nonparametric data; these data were graphed using a least-squares means plot.
Open image in new window Figure 4 Means plot.
Open image in new window Fig. 12 Means plot and Tukey confidence intervals (CI) for the evaluated algorithms.
Open image in new window Fig. 13 Means plot and Tukey confidence intervals (CI) for the metaheuristic algorithms.
Afterwards, a 4 × 4 full factorial design and the estimated marginal means plot were performed to assess the combined effects of these two compounds.
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Hierarchical clustering, with its graphics (heat maps, dendrograms, means plots), provides a nonparametric method for analyzing factorially-designed survey data, and small samples data.
Which is good, because in the Westeros, "hanging out" basically means plotting to off the ones you hate.
First, we used Bland Altman plots with vitamin D means plotted on the horizontal axis and the differences plotted on the vertical axis for visual inspection of the amount of disagreement between the two measures.
The relationships among breed groups were assessed visually by means of a scatter plot with positions of individuals and group means plotted on axes.
Also it was not clear to me why the BDP curve in Figure 4A differs from the HB theory mean plot in Figure 4C.
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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