Sentence examples for variable plots from inspiring English sources

Reduced variable plots deduced of the i-t transients were compared with theoretical models, allowing us to propose a three dimensional progressive nucleation growth with diffusion control as a possible mechanism.

Added variable plots of partial residuals of the tibia lead model (Table 3, panel 2) suggested different tibia lead level ranges by genotype.

We also allow Copasi configuration information, such as variable plots, saved in a Copasi file to be used for successive patched systems.

Models including interaction terms and excluding high leverage observations were fitted and residual analysis including residuals plots, Q-Q plots, and added variable plots were examined for violations of regression model assumptions.

We evaluated models for linear regression assumptions and the presence of outlying points using added variable plots (Weisberg 1985), which are graphical summaries of the relation between Y and a particular X (referred to as X a below), adjusted for all of the other covariates.

As in previous analyses (Weaver et al. 2003a), we evaluated models for linear regression assumptions and the presence of outlying points using added variable plots (Weisberg 1985), which are graphical summaries of the relation between y and a particular x adjusted for the other covariates.

In contrast, the amount of carbon storing and biogenic volatile organic compound emission decreased over time, because of a reduction in the number of large trees and of isoprene-emitting individuals, but the results were very variable plot by plot.

Visual inspection of each PCNM variable plotted against time allowed us to roughly define their period.

A standard diagnostic technique to estimate non-linear relationships between Y and X is to use a smoothing estimate on the added variable plot (Fig. 1B).

Comparing the subject plot and the variable plot, the score plot reveals that the control and TM-dominating groups are separated according to the first component whereas the second component is mainly responsible for the intra-group variation.

A visual predictive check typically displays percentiles of a dependent variable plotted against an independent variable both for observations and simulations, overlap of fitted data and simulated data is the goal.