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Parallel Coordinates plots are a common method of visualizing high-dimensional datasets to analyze multivariate data having multiple variables, or attributes. To plot, or visualize, a set of points in n -dimensional space , n parallel lines are drawn over the background representing coordinate axes, typically oriented vertically with equal spacing.
MATLAB (an abbreviation of "MATrix LABoratory" [22]) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks.MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Carpet plots have common applications within areas such as material science for showing elastic modulus in laminates, [1] and within aeronautics. [2] [3] Another plot sometimes referred to as a carpet plot is the temporal raster plot.
The Lineweaver–Burk plot derives from a transformation of the Michaelis–Menten equation, v = V a K m + a {\displaystyle v={\frac {Va}{K_{\mathrm {m} }+a}}} in which the rate v {\displaystyle v} is a function of the substrate concentration a {\displaystyle a} and two parameters V {\displaystyle V} , the limiting rate , and K m {\displaystyle ...
Arrhenius plots are often used to analyze the effect of temperature on the rates of chemical reactions. For a single rate-limited thermally activated process, an Arrhenius plot gives a straight line, from which the activation energy and the pre-exponential factor can both be determined.
Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery". A stated confidence level generally applies only to each test considered individually, but often it is desirable to have a confidence level for the whole family of simultaneous tests. [ 4 ]