NMath Stats 4.2

NMath Stats is a .NET statistics library designed to facilitate data manipulation, statistical computation, and data modeling. Compatible with all .NET languages, including C#, Visual Basic, and F#, it offers a wide range of features to meet the needs of researchers and data analysts. The library requires NMath to operate.

One of the main features of NMath Stats is its data frame class, which is designed to hold data of different types, such as numeric, string, boolean, datetime, and generic data. This class comes with methods for appending, inserting, removing, sorting, and permuting rows and columns, making data manipulation a breeze.

Another key feature of NMath Stats is its extensive collection of functions for computing descriptive statistics, such as mean, variance, standard deviation, percentile, median, quartiles, geometric mean, harmonic mean, RMS, kurtosis, skewness, and many more. Additionally, the library provides several special functions, including factorial, log factorial, binomial coefficient, log binomial, log gamma, incomplete gamma, beta, and incomplete beta, to help researchers analyze their data more comprehensively.

The library also includes probability density function (PDF), cumulative distribution function (CDF), inverse CDF, and random variable moments for various probability distributions, such as beta, binomial, chi-square, exponential, F, gamma, geometric, logistic, log-normal, negative binomial, normal (Gaussian), Poisson, Student’s t, triangular, and Weibull distributions. This functionality is helpful for analyzing data with known distributions or for modeling data using probability distributions.

NMath Stats also supports multiple linear regression, basic hypothesis tests such as z test, t-test, and F-test, and one-way and two-way analysis of variance (ANOVA) and analysis of variance with repeated measures (RANOVA). Additionally, the library provides non-parametric tests, such as the Kolmogorov-Smirnov test and Kruskal-Wallis rank sum test. Researchers can use this functionality to determine whether there are significant differences between groups of data or to identify relationships between variables.

For those who need to perform more advanced analyses, NMath Stats provides multivariate statistical analyses, including principal component analysis, factor analysis, hierarchical cluster analysis, and k-means cluster analysis. The library also supports nonnegative matrix factorization (NMF) and data clustering using NMF, which can help researchers identify patterns in their data that might not be immediately obvious.

Finally, NMath Stats offers data filtering, including a moving average filter and a Savitzky-Golay smoothing filter. Researchers can use this functionality to eliminate noise in their data or to identify trends in their data over time. The library also includes plotting capabilities using the Microsoft Chart Controls for .NET, which researchers can use to visualize their data in different ways.

Overall, NMath Stats is a comprehensive statistics library that offers a wide range of features to meet the needs of researchers and data analysts. With its extensive collection of functions, it can help users analyze and model their data with ease.