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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 ...
UpSet plots became popular as they became available as an R-library based on ggplot2, [3] and were subsequently re-implemented in various programming languages, such as Python, and others. [4] As of January 2024, UpSetR has been downloaded from CRAN more than 1.5 million times, although it was last updated 5 years ago. [ 5 ]
Ligand-based virtual screening software that searches for 2D and 3D similarities between a reference compound and a database of target compounds. MagicPlot: GUI: Proprietary: No 2008: January 18, 2021 / 3.0: Any : Nonlinear fitting, batch processing Maple: GUI, command line: Proprietary: No 1982 May 25, 2017 / 2017: Linux, Mac OS X, Windows ...
The major axis of this ellipse falls on the orthogonal regression line for the three vertices. [7] The quantification of a biological cell's intrinsic cellular noise can be quantified upon applying Deming regression to the observed behavior of a two reporter synthetic biological circuit .
An Andrews curve for the Iris data set. In data visualization, an Andrews plot or Andrews curve is a way to visualize structure in high-dimensional data. It is basically a rolled-down, non-integer version of the Kent–Kiviat radar m chart, or a smoothed version of a parallel coordinate plot.
In statistics, kernel regression is a non-parametric technique to estimate the conditional expectation of a random variable.The objective is to find a non-linear relation between a pair of random variables X and Y.
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
An illustration of the three idealized types of curve (logarithmic scale) A survivorship curve is a graph showing the number or proportion of individuals surviving to each age for a given species or group (e.g. males or females).