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Box-and-whisker plot of test samples retained within the AD for different k values during k-optimization.
The scatter plot of test vs control samples indicated the validity of the experiment.
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Fig. 6 Statistics (box plots) of test results: a mean brightness, b entropy, c gradient, d contrast.
In this paper, first we classify the log-log plots of test pressure into four types and analyze the characteristics of each type.
The first column shows the prediction maps of MCH, the second column shows the scatter plots of test samples, and the third column shows residual maps when comparing to the measured MCH.
The scatter plots of test data (lower panels in Figs. 2, 3) show a vast majority of predictions around 25 m, thus having a flattened oval shape along the X-axis.
The adequacy of the distribution of p-values was evaluated using quantile-quantile (Q-Q) plots of test statistics.
Box plots of test BA for multivariate GMDR and GMDR from those two analyses are given in Figure 5.
To evaluate diagnostic test quality and performance we plotted receiver operating characteristic (ROC) curves, defined as plots of test sensitivity on the y axis vs. 1-specificity on the × axis.
Box plots and density plots of test BA for GMDR and multivariate GMDR of HPs are given in Figure 4. Similar to the results of dichotomized SBPB and DBPB, the test BA for multivariate GMDR had a smaller deviation in the both one-and two-locus models.
Figure 7 is a plot of the test power results when the shift value of first stage is (1.2sigma_{1.2sigma_{
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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