Showing 6 open source projects for "moodle-4"

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  • 1
    NumeRe

    NumeRe

    Framework for numerical computations, data analysis and visualisation

    Curve fitting | Data analysis | Plotting | Matrix operations | FFT | Extensible framework | Multiple file formats | Programmable | Open source | Free for everyone NumeRe: Framework for Numerical Computation is a numerical framework written for Microsoft Windows(R) and released under the GNU GPL v3 for solving and visualizing mathematical and physical problems numerically. Keep simple things simple: You want to plot a sine function? Just enter 'plot sin(x)'. You want to load some...
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    Downloads: 116 This Week
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  • 2
    mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
    Downloads: 2 This Week
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  • 3

    Hyperspectral data analysis in R

    Handling and basic analysis of hyperspectral data in R

    The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
    Downloads: 0 This Week
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  • 4

    SPRITE

    Parallel SNP detection pipeline

    SPRITE is an open-source software package providing a parallel implementation of the Single Nucleotide Polymorphisms (SNP) detection genomic data analysis workflow. It consists of three tools: PRUNE for read alignment, SAMPA for intermediate file processing, and PARSNIP for parallel SNP calling.
    Downloads: 0 This Week
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  • 5
    This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
    Downloads: 1 This Week
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  • 6
    A More Accurate Fourier Transform

    A More Accurate Fourier Transform

    Computes Accurate Fourier Transform via Explicit Integration not FFT

    Fourier transform methods are used to analyze functions and data sets to provide frequencies, amplitudes, and phases of underlying oscillatory components. Fast Fourier transform (FFT) methods offer speed advantages over evaluation of explicit integrals (EI) that define Fourier transforms. It has been shown recently that EI methods can be more accurate than FFT methods (Courtney and Courtney, A More Accurate Fourier Transform) for scientific data analysis and that EI methods can be...
    Downloads: 0 This Week
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