Open Source Mac Statistics Software - Page 4
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Statistics Software for Mac
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JMEScriptGUI
Pequeño IDE para el lenguaje JMEScript.
Con este IDE podrá probar cualquier script escrito en JMEScript con toda la funcionalidad del lenguaje, incluidos gráficos 2D y conexión MySQL. La versión para Android, en este momento, tiene menos funcionalidad y ejecuta la versión 0.1 de JMEScript. Parser JME y lenguaje JMEScript en https://sourceforge.net/projects/jme/ Documentación en https://morenobarrientos-jme.site44.com/ Código fuente y UDL para Notepad++ en pestaña 'FILES' -
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JStats
JStats is a Java application/applet for statistical testing.
JStats is a small but powerful Java application/applet for conducting statistical tests. The following tests are supported: * Parametric tests: T-test, ANOVA, Repeated Measures ANOVA * Non-parametric tests: Wilcoxon Rank-Sum, Wilcoxon Signed-Ranks, Kruskal-Wallis, Friedman * Check if datasets are normally distributed: Jarque-Bera, Shapiro-Wilk * Check if datasets have equal variances: F-test, Bartlett's test, John, Nagao and Sugiura's test * Correlation: Correlation coefficient, Spearman Rank correlation, linear regression * Confidence intervals test * Outliers: Generalized Extreme Studentized (ESD) test, outliers in ANOVA The latest version is available as applet on http://aiguy.org/Statistics.html -
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Kontinuum Calculator
Calculate various aspects of the Kontinuum RPG system.
Kontinuum is a calculator program that enables the user to calculate all probabilistic aspects of the Kontinuum RPG system, especially the dice rules. -
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An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.
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LQFB-analyser
A lqfb delegation analyser. A 3d directed weighted multi graph.
A rich client to analyse data from a liquid-feedback (http://liquidfeedback.org/) instance, for now it's a 3d graph explorer to inspect the delegations. It's an application based on the eclipse platform (indigo). To be precise its a directed weighted multi graph browser in 3d. Find out more in the wiki https://sourceforge.net/p/lqfbanalyser/wiki/Home/ . Generated reports https://sourceforge.net/p/lqfbanalyser/wiki/generated%20lqfb%20reports/ . -
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MCPerm: Monte Carlo SNP permutation
Monte Carlo permutation method for SNP multiple test correlation
MCPerm: A Monte Carlo permutation method for multiple test correlation in case-control association study Traditional permutation (TradPerm) test is an important non-parametric analysis method which can be treated as the gold standard for multiple testing corrections in case-control association study. However, it relies on the original single nucleotide polymorphism (SNP) genotypes and phenotypes data to perform a large number of random shuffles, and thus it is computationally intensive, especially for genome-wide association study (GWAS). To improve the calculation speed without changing the size of the TradPerm p-value, we developed a Monte Carlo permutation (MCPerm) method as an efficient alternative to TradPerm. Methods: MCPerm does not need to shuffle the original genotypes and phenotypes data. It uses Monte Carlo method, employs two-step hypergeometric distribution to generate the random number of genotypes (AA, Aa and aa) in cases and controls. -
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MCPower
MCPower — simple Monte Carlo power analysis for complex models
MCPower-GUI is a desktop application that provides a graphical interface for the MCPower Monte Carlo power analysis library. It guides users through the full workflow across three tabs: Model setup (formula input with live parsing, CSV data upload with auto-detected variable types, effect size sliders, and correlation editing), Analysis configuration (find power for a given sample size or find the minimum sample size for a target power, with multiple testing correction and scenario analysis), and Results (interactive charts, exportable tables, and auto-generated Python replication scripts). Supports both standard linear models and mixed-effects models. Additional features include analysis history, configurable scenarios, and built-in documentation. -
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide controllable adjustment range, which thereby makes it possible to provide optional modes of recommendation aiming different kinds of users. -
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Math Simulator
A simulation software for numerical techniques.
Math Simulator is a java-based application which simulates various mathematical techniques.It is extremely useful for the Engineering students and for professionals. Most importantly, unlike most others Math Simulator is an Application rather than a java - library. So, user is not required to have any computer background. A Unique feature of Math Simulator is that it allows you to save queries for later reference. Hence you can save the problems along with their results. -
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Math.NET aims to provide a self contained clean framework for symbolic mathematical (Computer Algebra System) and numerical/scientific computations, including a parser and support for linear algebra, complex differential analysis, system solving and more
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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This software computes likelihoods for infinitely-many-sites sequence data under multiple merger coalescents. The likelihood can be computed exactly or approximated via importance sampling.
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The new version of MinimPy (MinimPy2) is available for download at: https://osdn.net/dl/minimpy2/MinimPy2.zip Please send your feedback about this new version to mahmood.saghaei@gmail.com (include MinimPy2 in the subject) ============================================================ MinimPy is a desktop application program for sequential allocation of subjects to treatment groups in clinical trials by using the method of minimization. Comprehensive reference help is available at http://minimpy.sourceforge.net MinimPy has been fully described in the following article: Saghaei, M. and Saghaei, S. (2011) Implementation of an open-source customizable minimization program for allocation of patients to parallel groups in clinical trials. Journal of Biomedical Science and Engineering, 4, 734-739. doi: 10.4236/jbise.2011.411090. Available at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=8518
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ModularBipolynom
Modular Polynom manipulation in Java
XY modular Polynom manipulation in Java for calculating elliptic curves point order -
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MooGraph is an utility to produce interactive dynamical graphs from statistical data. Deliberately inspired to GapMinder, it represents the evolution of multivariate data in time by means of coloured bubbles of variable sizes on an (x,y) plot.
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Multidimensional Array (MDA)
Multidimensional array implementation
Multidimensional Array (MDA) is a class for creating and using multi-dimensional arrays. Storage for the array is based on a templated C++ STL vector class. The beauty of the STL vector class is that it automagically resizes itself when constructing or copying. Caveat Emptor. The multidimensional arrays are indexed using unsigned integers. The types that may stored may be any that provide a copy and assignment operator. -
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Myrtle
A simple programmable spreadsheet for learning statistics.
Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots and graphical summaries of their analyses. Myrtle offers a unique bookmarking facility which allows students to create and reuse named references to their favorite cell ranges. This can help students focus attention on the important relationships among particular rows or columns of data. Myrtle's graphics and reporting features allow students to report back to their instructors their mastery of course content. -
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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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The Java class library, that contains classes for calculation of different mathematical relations between object and number sequences and sets: Kendall distance, Spearman distance, similarity measure, L1 distance and others.
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Noisy Channel Simulator
Demonstrate errors in transmission of a file over a noisy channel.
This program was written to dimonstrate errors in transmission for a presentation on Claude Shannon's Noisy Channel Coding Theorem. It takes an input file, the probability of a bit being flipped, and, if specified, the size of the header of the file. The program was intended to take monochrome bitmap files as input, so that each bit refers to a pixel in the image and thus, it would be easy to see errors in the output file, as some of the pixels would be flipped; however, it will work on any input file. -
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A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables. It could be replaced to the data file of your choice. The code is open source but you are requested to give credits if used. Additionally, it also has some useful functions for exporting and generating publication quality figures for different kind of figures in MATLAB
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PMM-Lab
Predictive Microbial Modeling plug-in for KNIME
PMM-Lab is an open-source extension to the Konstanz Information Miner (KNIME). It consists of three components: • a library of KNIME nodes (called PMM-Lab), • a library of “standard” workflows • an HSQL database.to store experimental data and microbial models. Altogether these components are designed to ease and standardize the statistical analysis of experimental microbial data and the development of predictive microbial models (PMM). Users can apply PMM-Lab to proprietary or public data and create bacterial growth / survival / inactivation models. The framework can easily be extended to other model types, e.g. growth/no-growth boundary models. PMM-Lab has been initiated and provided by the Federal Institute for Risk Assessment - BfR (Berlin, Germany). The software is in Beta status. Before using the software you have to read and accept the license and disclaimer (https://sourceforge.net/p/pmmlab/wiki/Disclaimer/). If you do not agree, do not use this software. -
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ProbAbilistic CALculator - a package for computing with probability distributions
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PGAF provides a framework tuned, user-specific genetic algorithms by handling I/O, UI, and parallelism. It is designed for optimizing functions that take a "very long time" to evaluate.
