Fit Curve To Data

ALLFITDIST Fit all valid parametric probability distributions to data.[D PD] = ALLFITDIST(X) fits all valid parametric probability distributions to the data in column vector X, and returns a struct D of fitted distributions and parameters and a struct of objects PD representing the fitted...

Fits a Gaussian curve to data points. You can specify your initial values for amplitude, mean and standard deviation, or it will guess them.

The script allows to easily fit predefined complex analytical laws exploiting the potentiality of Genetic Algorithms.The script receives as input the handle to the analytic laws to be fitted to data. Such law may depend on multiple variables and several parameters. This optimization approach may...


Platforms: Matlab

The LAB Fit is a software for Windows developed for treatment and analysis of experimental data. At LABFit program you are able to: 1) Treat similar data; 2) Treat non-similar data; 3) Determine propagated error; 4) Plot 2D and 3D graph; 5) Execute math calculations (system of equations, roots of...


Platforms: Windows, Windows CE

The method used in this work is based on a tutorial by David Arnold. http://online.redwoods.cc.ca.us/instruct/darnold/diffeq/logistic/logistic.pdfRUN The Logistic.m this will bring up the GUI.1. Give the x values on a text file in column format2. Give the y values on a text file in col format3....


Platforms: Matlab

The fitting of smooth curve through a set of data points and extention to this is the fitting of 'best fit' spline to a large set of data points which show the cerrent trend but which do not all lie above the curve. The method involves cluster analysis, that is, grouping the crude data into...


Platforms: Matlab

This is the fastest (though not most accurate) method of fitting a circlle to data points on a plane (given by their xy-coordinates). It returns the circle center (a,b) and radius R. It was proposed by I. Kasa in article "A curve fitting procedure and its error analysis", IEEE Trans. Inst. Meas.,...


Platforms: Matlab

Template::Plugin::Data::HTMLDumper is a template toolkit plugin interface to Data::HTMLDumper. SYNOPSIS [% USE Data.HTMLDumper %] [% Data.HTMLDumper.dump(myvar) %] A very simple Template Toolkit Plugin Interface to the Data::HTMLDumper module. The Data::HTMLDumper module displays output...


Platforms: *nix

BestCurFit calculates the parameters of 12 curves using the method of Linear Least Squares, fitting each curve to user data. The nonlinear equations are linearized. The obtained parameters are used for following optimization procedure using Simplex and Gauss-Newton algorithm. If it does not...


Platforms: Windows

Toad® Data Modeler helps you create high-quality data models and easily deploy accurate changes to data structures — at a fraction of the cost of many other solutions. With this cross-platform database modeling software, you can: Build high-quality logical and physical data models...


Platforms: Windows

If you have a program that is outputting a data file with headers and blank lines, and if the exact order and location of those headers and blank lines varies from data set to data set, then it might be nice to read in a data file similar to how Excel does it. Each delimitted object, whether an...


Platforms: Matlab

UniDirect .NET Data Provider offers universal access to data of different databases for the Microsoft .NET Framework. It supports most of major database servers, including Microsoft SQL Server, Microsoft Access, Oracle, DB2, MySQL, PostgreSQL, InterBase, and Firebird. Other servers can be...


Platforms: Windows

MS Excel to Outlook utility developed by SysTools facilitates you to manage your huge size of Excel contacts and duplicate contacts or to convert MS Excel spreadsheet data into MS Outlook in an expeditious way at affordable prices instead of paying big amount to data entry operator or manual...


Platforms: Windows

ICP fit points in data to the points in model. Fit with respect to minimize the sum of square errors with the closest model points and data points. Ordinary usage: [R, T] = icp(model,data) INPUT: model - matrix with model points, data - matrix with data points, OUTPUT: R - rotation matrix and T...


Platforms: Matlab

The problem of fitting a straight line to data with uncertainties in both coordinates is solved using a weighted total least-squares algorithm. The parameters are transformed from the usual slope/y-axis intersection pair to slope angle and distance to the origin. The advantages of this are that...


Platforms: Matlab

Spec1d for MATLAB is a set of commands in order to fit and manipulate data from MATLAB's prompt. It requires load routines, fit functions, and routines. A full manual is available (v1, June 2001).


Platforms: Matlab

This program is based on the method published by O'Reilly & Rueda (see program for more details for reference). Confidence level (i.e. alpha value) is chosen,and if the number of AD test stats > critical value exceeds alpha, H0 is rejected.The program requires 3 input files:2 of these files are...


Platforms: Matlab

Functions for Rice/Rician PDF: summary statistics (mean and variance), generating random samples, and simple moment-matching to fit the distribution to data.Similar to e.g. normpdf, normstat, normrnd and normfit from the MATLAB statistics toolbox, but for the Rice distribution, which is useful in...


Platforms: Matlab

POLYFIT_ROOTS Least-squares polynomial fit to data.[R,K] = POLYFIT_ROOTS(X, Y, N, TOL) finds the roots R and constant K so that the polynomial P(s) = K*(s-R(1))*(s-R(2))* ... *(s-R(N)) is the best least-squares fit to the data Y at points X.Argument TOL bounds the accuracy of the fit, and if...


Platforms: Matlab

Plots dose/response data as mean responses to a dose with standard errors. Fits sigmoidal curve to data, calculating EC50 and the Hill Coefficient, then plots the sigmoid along with a label indicating the EC50.


Platforms: Matlab