Sentence examples for axis of the data from inspiring English sources

Eigenvectors are called the principal components "axis" of the processed data and are used to form an orthogonal basis, G i is the the ith principal axis of the data.

While slopes and intercepts differed from 1 and zero respectively, indicating similar fixed and proportional bias to the main study, the least product regression lines followed the major axis of the data ellipsoid.

The y-scale is different for each plot, and the dispersion on the y-axis of the data related to the source is due to the different attenuation of the light during the acquisition (different thickness of chicken breast, see Fig. 3).

Fig. 5 Comparison of the Euclidean distance (x axis) of the original data and the normalized Hamming distance of the embedded data (y axis).

That's how the team ended up turning to Unity, which allowed them to map out not just the x and y axis of the radar data they pull in, but the z axis, too.

We confirmed the presence of aerenchyma by cross section of the main axis of the root (data not shown).

Going beyond the abundances of individual microbial taxa, SitePainter also allows the user to view similarities and differences at the whole-community level by loading the PCoA axis of the microbial data to reveal patterns that are not obvious in the PCoA plot but are immediately obvious when displayed in the context of the site itself (Fig. 1C: compare left panel to the right two panels.

The span, which determines the bandwidth as a fraction of the range of the x-axis values of the data, was 0.5.

The range of tilt of the crystal plane ΔX that can capture intensity will vary depending on the angle of the tilt axis to the data-collection point, 2θ − Ω (Fig. 10 ▶).

So, for our purposes here, we'll just take the sum of the areas under the Lorenz curve by multiplying the mean height (on the Y axis) of each data point by the width taken up on the X axis.

In each case least product regression slopes were greater than least squares regression estimates (range 0.45-0.65) and the least product regression lines followed closely the major axis of the ellipse of data points, unlike the least squares regression (figure).