Logistic Regression Examples

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison... Platforms: Matlab

Leave-one-out cross-validation for PLS regression or discriminant analysispls_cv = plscv(x,y,vl,'da')input:x (samples x descriptors) for cross-validationy (samples x variables) for regression or (samples x classes) for discriminant analysis. Classes numbers must be >0.vl (1 x 1) number of latent... Platforms: Matlab

Examples of classes inheritance, public and private attributes and methods from chapter 5.7 of the new edition of book by Bogumila and Zbigniew Mrozek. Comments are in Polish and English language. Platforms: Matlab

Basic examples of using trapz and quad to evaluate the integral of two simple known functions between defined limits.A for loop is used to loop over the upper limits of integration. The results are compared to show the greater accuracy, efficiency and ease of use of quad for a known function Platforms: Matlab

Examples of using matlab to talk to a National Instruments (NI)DAQ card _without_ the 'data acquisition toolbox'I have mainly used code and examples from Jens Roesner here:http://www.jr-worldwi.de/work/matlab/index.htmlHowever, I had to make a few slight tweaks to get it to work for me. I have... Platforms: Matlab

Kernel regression is a power full tool for smoothing, image and signal processing, etc. However, it is computationally expensive when it is extented for multivariant cases. The efficiency can be improved by only using neighbors within the effective range arond a regression point. To improve the... Platforms: Matlab

Functions for fitting least suqares regression problems under nonnegativity constraints. Optimized version of the Lawson & Hanson approach Platforms: Matlab

Plot data in a figure, and then interactively choose regression area. The result from polyfit is returned.Example:x=1:1:10;y=sin(x);f=figure; plot( x,y );[p,h] = figreg( f, 2 );%fit a second order polynom to selected region in plot Platforms: Matlab

The main advantages of the Hausdorff regression are that one should not specify the direction of the errors (vertical, horizontal, orthogonal ... with the ordinary least squares) and that it is less sensitive with respect to the square of the distance.This is the original idea. Any contribution... Platforms: Matlab

Gaussian kernel regression and local linear Gaussian kernel regression with variable window widthThis is the same as ksr and ksrlin (file File ID: #19195 and #19564), but instead of using the same bandwidth for each point, it uses a variable bandwidth given by the distance of each point to its... Platforms: Matlab

These two examples, which were originally posted in the MATLAB newsgroup comp.soft-sys.matlab, demonstrate how to use the nested function capability of MATLAB 7.0 (R14) and later versions to reduce the number of parameters that need to be passed into and between callbacks inside a GUI M-file.... Platforms: Matlab

The model relies on the theory of strength of least square curve fitting and auto regression techniques. Platforms: Matlab

Powerful but easy-to-use graphing, curve fitting and calculating software. Graphs Cartesian (Y(x) and X(y)), polar and parametric functions, graphs of tables, equations (implicit functions), inequalities and slope fields. Up to 100 graphs in one window. Calculus features: regression analysis,... Platforms: Windows

WINKS (Windows KWIKSTAT) makes statistical data analysis understandable and easy to perform for the researcher, student, or scientist. Top award-winning shareware statistics program with thousands of users in over 65 countries. Basic analyses available in WINKS include Descriptive statistics and... Platforms: Windows

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

vTest is a web automated testing tool for the regression & functional testing of web apps. It incorporates record, verify, playback and reporting capabilities. vTest supports automated testing using both Microsoft Internet Explorer and Mozilla Firefox. All popular Internet technologies such as... Platforms: Windows

JOpt.NET TourPlanner is an automated shipment planning and dispatching .NET component for logistic applications that can solve Travelling Salesman Problems (TSP) and Capacitated Vehicle Routing Problems with Time Windows (CVRP,VRPTW). JOpt.NET offers route and transport optimisation with respect... Platforms: Windows

The Unscrambler® is the complete multivariate analysis and experimental design software, equipped with powerful methods including Principal Component Analysis (PCA), Multivariate Curve Resolution (MCR), Partial Least Squares Regression (PLS-R), 3-Way PLS Regression, K-Means Clustering and SIMCA... Platforms: Windows

Test Script Runner is a software platform designed to provide a script based mechanism for Automatic Regression Testing. The software provides a scripting language which allows the user to expand the capabilities via plug-in testing modules. A number of plug-in modules are provided with... Platforms: Windows

Zeta Test is an integrated test management environment that enables you to perform black-box tests, white-box tests, regression tests or change management tests of software applications. Zeta Test helps you to plan, perform, log, monitor and document the tests, and then to evaluate the test... Platforms: Windows