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ggplot2 is an open-source data visualization package for the statistical programming language R.Created by Hadley Wickham in 2005, ggplot2 is an implementation of Leland Wilkinson's Grammar of Graphics—a general scheme for data visualization which breaks up graphs into semantic components such as scales and layers. ggplot2 can serve as a replacement for the base graphics in R and contains a ...
On a semi-log plot the spacing of the scale on the y-axis (or x-axis) is proportional to the logarithm of the number, not the number itself. It is equivalent to converting the y values (or x values) to their log, and plotting the data on linear scales. A log–log plot uses the logarithmic scale for both axes, and hence is not a semi-log plot.
The general Legendre equation reads ″ ′ + [(+)] =, where the numbers λ and μ may be complex, and are called the degree and order of the relevant function, respectively. . The polynomial solutions when λ is an integer (denoted n), and μ = 0 are the Legendre polynomials P n; and when λ is an integer (denoted n), and μ = m is also an integer with | m | < n are the associated Legendre ...
The vertical axis represents the value of the Hinge loss (in blue) and zero-one loss (in green) for fixed t = 1, while the horizontal axis represents the value of the prediction y. The plot shows that the Hinge loss penalizes predictions y < 1, corresponding to the notion of a margin in a support vector machine.
To disable the AutoComplete feature using Google Chrome: 1. Open Google Chrome. 2. Click the menu tab in the upper-right corner and select Settings. 3. At the bottom of the page, click Show advanced settings… 4. In the Passwords and forms section, remove the check box next to Enable Autofill to fill out web forms in a single click. 5.
The Gauss-Legendre methods are implicit, so in general they cannot be applied exactly. Instead one makes an educated guess of , and then uses Newton's method to converge arbitrarily close to the true solution.
The superformula is a generalization of the superellipse and was proposed by Johan Gielis in 2003. [1] Gielis suggested that the formula can be used to describe many complex shapes and curves that are found in nature.
For instance, the small strip of allowed values along the lower-left edge of the plot are a continuation of the large, extended-chain region at upper left. A Ramachandran plot generated from human PCNA, a trimeric DNA clamp protein that contains both β-sheet and α-helix (PDB ID 1AXC). The red, brown, and yellow regions represent the favored ...