grofit: Fitting Biological Growth Curves withR
نویسندگان
چکیده
منابع مشابه
grofit: Fitting Biological Growth Curves with R
The following description of the package grofit was also published as Kahm et al. (2010). The grofit package was developed to fit many growth curves obtained under different conditions in order to derive a conclusive dose-response curve, for instance for a compound that potentially affects growth. grofit fits data to different parametric models and in addition provides a model free spline metho...
متن کاملRobust Fitting of Parametric Curves
We consider the problem of fitting a parametric curve to a given point cloud (e.g., measurement data). Least-squares approximation, i.e., minimization of the l2 norm of residuals (the Euclidean distances to the data points), is the most common approach. This is due to its computational simplicity [1]. However, in the case of data that is affected by noise or contains outliers, this is not alway...
متن کاملLeast Squares Fitting of Piecewise Algebraic Curves
A piecewise algebraic curve is defined as the zero contour of a bivariate spline. In this paper, we present a new method for fitting C1 piecewise algebraic curves of degree 2 over type-2 triangulation to the given scattered data. By simultaneously approximating points, associated normals and tangents, and points constraints, the energy term is also considered in the method. Moreover, some examp...
متن کاملFitting Galaxy Rotation Curves Without Dark Matter
The notion is presented that fitting galaxy rotation curves is possible without the invocation of dark matter. Equations of motion similar to those used to describe the internal motions of terrestrial weather systems are applied to the rotation curves of galaxies. However, due to the four-dimensional nature of the equations, additional terms arise. One of these additional terms is particularly ...
متن کاملGeometric Fitting of Parametric Curves and Surfaces
This paper deals with the geometric fitting algorithms for parametric curves and surfaces in 2-D/3-D space, which estimate the curve/surface parameters by minimizing the square sum of the shortest distances between the curve/surface and the given points. We identify three algorithmic approaches for solving the nonlinear problem of geometric fitting. As their general implementation we describe a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2010
ISSN: 1548-7660
DOI: 10.18637/jss.v033.i07