Statistics Software

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  • 1

    Excelsi-R

    Excel's Interface to R

    Excelsi-R is an Excel add-in that allows Excel spreadsheets to harness the power of the R statistical language by connecting to a running R process. R does not need to be installed on the computer running Excel, but it does require access to an R instance running Rserve (which can be on a remote computer). It supports incorporating R plots and graphs in an Excel workbook.
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  • 2
    ExoPlanet

    ExoPlanet

    GUI based toolkit for running common Machine Learning algorithms.

    ExoPlanet provides a graphical interface for the construction, evaluation and application of a Machine Learning model in predictive analysis. With the back-end built using the numpy and scikit-learn libraries, as a toolkit, ExoPlanet couples fast and well tested algorithms, a UI designed over the Qt4 framework, and graphs rendered using Matplotlib to provide the user with a rich interface, rapid analytics and interactive visuals. ExoPlanet is designed to have a minimal learning curve, allowing researchers to focus on the applicative aspect of Machine Learning rather than their implementation details. It provides algorithms for unsupervised and supervised learning, which may be done with continuous or discrete labels. Post analysis, the toolkit further automates building the visual representations for the trained model.
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  • 3
    This project was moved to https://gitlab.com/xds/xds
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  • 4
    F@H League Web App is a simple ASP.Net Web application that allows you to create a League of Folding@Home Teams you are interested in and view a range of league tables, statistics and Graphs.
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  • 5

    FantasticLifeExpectancyCalculator

    Calculate your and your spouse's life expectancy !

    Using statistical modelling against raw data obtained from a USA Annuity mortality table, the Fantastic Life Expectancy Calculator allows users to input a number of parameters to determine their life expectancy. This calculator is provided free and for entertainment purposes only. It does not claim to accurately predict life expectancy for a specific individual or a specific couple.
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  • 6
    FastPval is multiple stage p-value computing software that computes empirical p-values from a large set of permutated/resampled background data.
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  • 7
    Command line fibonacci series calculation program.
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  • 8
    FieldTrip

    FieldTrip

    The MATLAB toolbox for MEG, EEG and iEEG analysis

    FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis, which is released free of charge as open source software under the GNU general public license. FieldTrip is developed by members and collaborators of the Donders Institute for Brain, Cognition, and Behaviour at Radboud University, Nijmegen, the Netherlands. The toolbox offers advanced analysis methods of MEG, EEG, and invasive electrophysiological data, such as time-frequency analysis, source reconstruction using dipoles, distributed sources and beamformers and non-parametric statistical testing. It supports the data formats of all major MEG systems (CTF, Neuromag/Elekta/Megin, BTi/4D, Yokogawa/Ricoh, FieldLine) and of most popular EEG systems, and new formats can be added easily. FieldTrip contains high-level functions that you can use to construct your own analysis protocols in MATLAB. Furthermore, it easily allows methods researchers to incorporate new methods for EEG/MEG analysis.
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  • 9
    FixMyNumbers

    FixMyNumbers

    regression and variance analysis quickly calculate data

    This software is designed to help student's regression and variance analysis quickly calculate data.
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    Streamlined Transaction Processing for Growing Businesses

    Zil Money is an all-in-one payment platform and accounts payable solution designed for SMEs.

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  • 10
    FrancescoMontorsi ScientificResearch

    FrancescoMontorsi ScientificResearch

    Scientific research work of Francesco Montorsi,Univ. of Modena, Italy

    This project hosts the code and the documents which were created by Francesco Montorsi during his PhD at the University of Modena and Reggio Emilia, Italy, about indoor and outdoor localization and navigation techniques. The code (mostly MATLAB code) is publicly available to enable reproducible research.
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  • 11

    FreDec

    Parallelized FREquency DEComposer algorithm

    This is a parallelized algorithm performing a decomposition of the time-series data into a number of sinusoidal components, disentangling them from the white Gaussian noise. The algorithm analyses all suspicious frequencies, including the ones that look like an alias at a glance, but may become preferable later. After selection of the initial frequency candidates, the algorithm passes through all their possible combinations and estimates their multi-frequency statistical significance. In the end, it prints out the set of largest frequency tuples that were still found significant. The GPU computing is implemented through CUDA and brings a significant performance increase. It is still possible to run FreDec solely on CPU, if no suitable GPU device is available in the system. See the details of the underlying theory in Baluev 2013, MNRAS, V. 436, P. 807 The description of the algorithm itself can be found in arXiv:1309.0100. Please go to the project forum to report any bugs.
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  • 12
    Freegressi est un logiciel pour tracer des courbes de tendances à partir de séries de données.
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  • 13

    GADfit

    Global nonlinear optimization with automatic differentiation

    NOTE: Development continued at GitHub! Current version is higher than 1.2.0. GADfit is a Fortran implementation of global nonlinear curve fitting, based on a modified Levenberg-Marquardt algorithm. Global fitting refers to fitting many datasets simultaneously with some parameters shared among the datasets. The fitting procedure is very fast and accurate thanks to the use of automatic differentiation. The model curves (fitting functions) can be of essentially arbitrary complexity. This includes any nonlinear combination of elementary and special functions, single and/or double integrals, and any control flow statement allowed by the programming language. See the latest user guide under Files.
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  • 14
    GIT quick statistics

    GIT quick statistics

    An efficient way to access various statistics in git repository

    git-quick-stats is a simple and efficient way to access various statistics in a git repository. Any git repository may contain tons of information about commits, contributors, and files. Extracting this information is not always trivial, mostly because there are a gadzillion options to a gadzillion git commands. For those who prefer to utilize command-line options, git-quick-stats also has a non-interactive mode supporting both short and long options. You can change to the legacy color scheme by toggling the variable _MENU_THEME between default and legacy. You can set variable _GIT_LIMIT for limited output. It will affect the "changelogs" and "branch tree" options. You can also exclude files from the stats. Note that it works with any alphanumeric, glob, or regex that git respects.
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  • 15

    GPMfit

    Gaussian Process Model Fitting

    Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab.
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  • 16
    GUANO

    GUANO

    GUANO - Graphical User interface for performing ANalysis Of variance

    Free and open source standalone program capable of conducting between, within, and mixed analyses of variance (ANOVA). Provides a simple graphical user interface for specifying analyses and interaction plots (analyses performed by http://code.google.com/p/pyvttbl/). Features: - Capable of high order factorial designs (> 2 factors) - Within and mixed analyses of variance provide corrections for violations of sphericity (Huynh-Feldt, Greenhouse-Geisser, Box) - A variety of data transformations can be applied (log10, reciprocal, arcsine, square-root, and Windsor) - Generalized eta-squared measures of effect size - Post-hoc power analysis (should match G*Power) - Outputs include tables of estimated marginal means - Up to 4-way interaction plots with errorbars (png, svg) - Confidence intervals account for within-subject variability (where applicable; Loftus and Masson, 1994) - Non-proprietary HTML output files - Non-proprietary codebase Gotchas: - Assumes balanced designs
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  • 17
    All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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  • 18
    This project hosts tools used for analysis of Gaussian Mixture Distributions (GMDs) which are used for statistical signal processing. The tools are libraries for implementing GMD operations and programs used to analyze properties of GMDs.
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  • 19
    A small simulator for Mendelian genetics, genetic drift, natural selection and random mutations, built on matplotlib and wxpython. A graph will be generated that traces the distribution of genotypes at successive generations.
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  • 20
    A software directed towards the geomatics engineering community. OpenSSG efficiently implements a collection of components vital to geomatics industry using smooth and flexible interface.
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  • 21

    Geometri Hesaplamaları

    Geometry calculations

    A program for calculate geometry calculations with different types.
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  • 22
    This project examines techniques to model three-dimensional rigid body motion using the geometric algebra of Dual Quaternions and how such models compare to more traditional models when used in underconstrained filtering applications.
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  • 23
    GpaNom is a simple command line GPA calculator, written in C, with the goal of being fast and precise.
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  • 24
    Provide a .NET object model to support computation of minimum, maximum, average of primitive types exported through properties by any object.
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  • 25

    Gradesystem

    Gradesystem

    C programmed text-based software. Inputs : -Name of a course -Number of students -The 100% value of a mark -All the marks Then it estimates the Standard Deviation and grades, then assigns the marks to the grades inside a text.
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