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Statsar Statistics Library
v1.0.1 for .NET
Product Guide
Overview
Feature list
User guide
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Contents
Statsar User Guide - Contents
1. Getting Started
1.1 Product overview
1.2 Product features
1.2.1 Library design
1.2.2 Data analysis
1.2.3 Descriptive statistics
1.2.4 Random number generators
1.2.5 Probability distributions
1.2.6 Discrete distributions
1.2.7 Continuous distributions
1.2.8 Linear regression
1.2.9 Hypothesis tests
1.2.10 Analysis of variance
1.3 Requirements
1.3.1 Platform requirements
1.3.2 Operating system requirements
1.4 Namespaces (overview)
1.5 Licensing
1.5.1 License types
1.5.2 How to use a license key
1.6 QuickStart application
1.6.1 Step by step guide for C#
1.6.2 Step by step guide for VB.NET
2. Importing and Exporting Data
2.1 Loading Excel CSV files
2.2 Working with columns
2.3 Working with rows
2.4 Importing arrays
2.5 CSV and tab delimited files
2.6 Database connectivity
2.7 Reflection
3. Processing Data
3.1 Overview
3.2 Filtering rows
3.2.1 The DataSheet filter method
3.2.2 The SheetFilter class
3.2.3 Transforming data
3.2.4 Grouping data
3.3 Filtering columns
3.3.1 The column filter method
3.3.2 The column FilterIndices method
3.4 Splitting data
3.5 Sorting data
3.5.1 Sorting rows
3.5.2 Sorting column values
4. Descriptive Statistics
4.1 Working with calculator functions
4.2 Summary statistics
4.2.1 The count function
4.2.2 The sum function
4.2.3 The mean function
4.2.4 The trim mean function
4.2.5 The geometric mean function
4.2.6 The harmonic mean function
4.2.7 The mode function
4.2.8 The max function
4.2.9 The max abs function
4.2.10 The min function
4.2.11 The min abs function
4.2.12 The midrange function
4.2.13 The range function
4.2.14 The median function
4.3 Spread and deviation
4.3.1 The coefficient of variation function
4.3.2 The mean deviation function
4.3.3 The median deviation function
4.3.4 The root mean square function
4.3.5 The variance function
4.3.6 The standard deviation function
4.3.7 The standard error function
4.3.8 The sum square deviation function
4.4 Percentiles and ranks
4.4.1 The interquartile range function
4.4.2 The decile function
4.4.3 The percentile function
4.4.4 The percent rank function
4.4.5 The quartile function
4.4.6 The weighted percentile function
4.4.7 The rank function
4.4.8 The ranks function
4.5 Central moments
4.5.1 The central moment function
4.5.2 The standard moment function
4.5.3 The kurtosis function
4.5.4 The skew function
5. Random Number Generators
5.1 Pseudorandom algorithms
5.2 Linear congruential generators
5.3 Additive congruential generators
5.4 Inverse congruential generators
5.5 Mersenne twister generators
5.6 Lagged fibonacci generators
5.7 Shuffle generators
6. Special Functions
6.1 Factorial functions
6.2 Binomial functions
6.3 Gamma functions
6.4 Beta functions
6.5 Error function
7. Probability Distributions
7.1 Working with distributions
7.1.1 Calculating distribution functions
7.1.2 Distribution central moments
7.1.3 Random deviates
7.2 Discrete distributions
7.2.1 The Bernoulli distribution
7.2.2 The binomial distribution
7.2.3 The discrete uniform distribution
7.2.4 The geometric distribution
7.2.5 The hypergeometric distribution
7.2.6 The negative binomial distribution
7.2.7 The Poisson distribution
7.3 Continuous distributions
7.3.1 The beta distribution
7.3.2 The Cauchy distribution
7.3.3 The chi-squared distribution
7.3.4 The continuous uniform distribution
7.3.5 The Erlang distribution
7.3.6 The exponential distribution
7.3.7 The F distribution
7.3.8 The gamma distribution
7.3.9 The Gumbel distribution
7.3.10 The Laplace distribution
7.3.11 The logistic distribution
7.3.12 The log normal distribution
7.3.13 The normal distribution
7.3.14 The Pareto distribution
7.3.15 The Rayleigh distribution
7.3.16 The student's T distribution
7.3.17 The triangular distribution
7.3.18 The Weibull distribution
8. Vectors, Matrices and Linear Regression
8.1 The LinearAlgebra namespace
8.2 Vector data
8.2.1 Initiating a new vector
8.2.2 Vector elements
8.2.3 Copying vectors
8.2.4 Modifying vectors
8.3 Vector operations
8.3.1 Vector arithmetic
8.3.2 Vector products
8.3.3 Unit vectors
8.4 Matrix data
8.4.1 Initiating a new matrix
8.4.2 Matrix elements
8.4.3 Copying matrices
8.4.4 Modifying matrices
8.5 Matrix operations
8.5.1 Matrix arithmetic
8.5.2 Matrix norms and linear systems
8.6 Linear regression
8.6.1 Simple linear regression
8.6.2 Multiple linear regression
8.6.3 Polynomial regression
9. Hypothesis Tests
9.1 Hypothesis tests classes
9.2 The one sample Z-test
9.3 The one sample T-test
9.4 The two sample paired T-test
9.5 The two sample unpaired T-test
9.6 The two sample F-test
9.7 The one sample chi-square test
9.8 The one sample Kolmogorov-Smirnov test
9.9 The two sample Kolmogorov-Smirnov test
9.10 The Anderson-Darling test
9.11 Bartlett's Test
9.12 Levene's Test
10. Analysis of Variance
10.1 Analysis of variance classes
10.2 One way ANOVA
10.3 One way repeated ANOVA
10.4 Two way ANOVA
10.5 Two way repeated ANOVA
10.6 Both factor two way repeated ANOVA
Appendix A - Exceptions and Error Codes
1. Use of HRESULTs explained
2. Exception classes
3. ErrorCodes table
Appendix B – Expression Syntax
1. Overview
1.1 Expression constituents
1.2 Literals
1.3 Operators
1.4 Text matching
1.5 Constants
2. Functions
2.1 Trigonometric functions
2.2 Hyperbolic functions
2.3 Exponential and logarithm functions
2.4 Numeric functions
2.5 String functions
2.6 Date and time functions
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