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Each point in the plot, for a given dataset, represents a particular region of interest (ROI) so that the plot represents the variability of ICC across the considered ROIs.
Each point in the plot, for a given dataset, represents a particular region of interest (ROI) so that the plot represents the variability of PTRT or WSCV across the considered ROIs.
Each point in the plot, for a given dataset, represents a particular region of interest (ROI) so that the plot represents the variability of RC across the considered ROIs.
Figure 1 depicts the empirical cumulative distribution plot for a given feature (note the significant difference to the standard normal distribution).
Since the model is fit to the individual trials, we emphasize that the psychometric, chronometric and reverse correlations plot for a given model are not generated using a curve-fitting procedure for each panel.
This algorithm generates a free energy dot plot for a given sequence and recursively searches it for helices or sets of helices that fully match helical walk constraints from NMR.
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Thus, the most efficient plots for a given amount of time were compact plots.
This figure is plotted for a given reference SINR value of the PSO with FFB and FBH.
Because PCA was conducted jointly for lab digestion protocols (1A) and for centrally digested samples (1B) in Study 1 and the yeast (3A) and the spiked yeast sample (3B) in Study 5, comparing placements between plots for a given site is possible.
We then scatter plotted the two distributions against one another, i.e. each point on the scatter plot is for a given delay and has an x-value equal to the normalized RIP frequency for that delay, and the y-value is the Surveyor frequency for the same delay.
The objective should be to adopt the plot design that for a given stratum is most suitable for AGB measurements while taking into account the above-mentioned points.
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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