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Hence, the average ambient temperatures of 2 days were used to plot the comparison.
The reduced models were used to plot two-dimensional contour plots.
Nonlinear forms of the models equations were used to plot the data using KyPlot 2.0 software (quasi-Newton algorithm).
Regression models generated using stepwise regression analyses were used to plot response surface curves, to study the tempering behaviour of products.
First-derivative values versus concentrations were used to plot calibration curves of these drugs and were found to similar with the HPLC data.
The main effect plots were used to plot data means when multiple factors are involved in the system/process and also to compare magnitudes of marginal means.
Mean and standard error of the normalized expression data of genes in each cluster at the four time points were used to plot the curves.
Taking the concept of range into account, several available spatial variables of the under study aquifer were used to plot the variogram in different directions.
Sigmoid curves were used to plot the best-fit graphs for β, while a linear fit was found to be most appropriate for H′.
The lowest 4 and 13 activity levels were used to plot the trend line as linear response for detectors A and B, respectively.
Reference points based on the inter-canine and inter-molar distances and the canine and molar depths were used to plot the curve.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com