NMath Stats 3.5.0 Crack Download
Version 1.1.0 of NMath Stats Free Download enables developers to take control of statistical analysis and computation, and manage and apply data sets (also called matrices).
This.NET library includes functions dedicated to statistics, as well as to computer vision, including linear regression, principal component analysis, cluster analysis and biostatistics.
This tool is 100% object-oriented, and it provides both command-line and GUI interface, easy to use for non-programmers.
No other functionnalities are lost when using.NET, so the product can be used in combination with other.NET frameworks, and also with Visual Studio.NET.
This product provides descriptive statistics, hypothesis testing, variance, correlation, linear regression, factors analysis (including principal component and cluster analysis), goodness of fit. It can also be used to perform matrix and vector normalization and linear algebra calculations.
The.NET source code is freely available under the GNU General Public License (GPL) or if a proprietary license is accepted, under a Microsoft Public License (Ms-PL).
//Licensing
The source code is copyrighted, however it's freely available under the GNU General Public License (GPL) or, if a proprietary license is accepted, under the Microsoft Public License (Ms-PL).
//Features
Basic descriptive statistics and hypothesis tests can be performed with simple functions.
A set of functions is provided to manage and apply data sets (also called matrices).
Tests can be performed on vectors, matrices, contingency tables and probability distributions.
The implementation of linear regression, principal component analysis, cluster analysis and goodness of fit are provided.
NMath Stats Tools
The library includes a set of tools to manage and manipulate data sets for analysis purposes, and for vector and matrix normalization, which is essential for statistical analysis.
You can:
- Create data sets using functions from the cls library
- Manipulate matrices, vectors and data sets using the manager class
- Perform descriptive statistics on vectors, matrices and data sets
- Perform hypothesis testing on vectors, matrices and data sets
- Perform Pearson's correlation and linear regression on vectors, matrices and data sets.
Data Sets Representations
The object model for data sets is a custom generic data structure. This object model is generic, and not only it can be used in classical data sets, it can also be used in custom data sets as easily as any other CLR type, for example, a data frame or a matrix
NMath Stats 3.5.0 Crack+ Serial Key Free [Win/Mac]
NMath Stats is a.NET library with functions dedicated to statistical analysis and computation. It can be used to create object-oriented modules to implement into various types of programs. The tool offers support for partial least squares, variance analysis, descriptive and multi-variate statistics, combinatorial functions, hypothesis testing, non-negative matrix factorization, multiple linear regression, and probability distribution. Examples for each feature can be found in the product's manual.
It's fully compatible with Microsoft Common Language Specification (CLS) and its routines can be called from C#, Visual Basic.NET, F#, or any other.NET language. Although this is not mandatory, the developer strongly encourages the use of Microsoft Visual Studio.NET or another.NET environment.
The tool also includes a library for plotting NMath Stats types using Microsoft Chart Controls for.NET (available as a separate download for.NET Framework 3.5 and bundled starting with.NET Framework 4.0). Instructions and examples on how to plot data frames, probability distributions, linear regression, goodness of fit, principal component and cluster analysis are listed in the product's manual.
NMath Stats is a.NET library with functions dedicated to statistical analysis and computation. It can be used to create object-oriented modules to implement into various types of programs. The tool offers support for partial least squares, variance analysis, descriptive and multi-variate statistics, combinatorial functions, hypothesis testing, non-negative matrix factorization, multiple linear regression, and probability distribution. Examples for each feature can be found in the product's manual.
It's fully compatible with Microsoft Common Language Specification (CLS) and its routines can be called from C#, Visual Basic.NET, F#, or any other.NET language. Although this is not mandatory, the developer strongly encourages the use of Microsoft Visual Studio.NET or another.NET environment.
The tool also includes a library for plotting NMath Stats types using Microsoft Chart Controls for.NET (available as a separate download for.NET Framework 3.5 and bundled starting with.NET Framework 4.0). Instructions and examples on how to plot data frames, probability distributions, linear regression, goodness of fit, principal component and cluster analysis are listed in the product's manual.
Features:
Handles numbers from any type.
Handles basic and exponential numbers.
Handles NaN values.
Implements comparison operators.
Implements some mathematical
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