Showing 5 open source projects for "program files"

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  • 1
    NZMATH

    NZMATH

    Python Calculator on Number Theory, three-birds-one learning material

    ...It is possible only by running and reading the programs. You can get the notebook here: https://sourceforge.net/projects/nzmath/files/nzmath-enttakagi/ Visit our home page in detail: https://nzmath.sourceforge.io/
    Downloads: 5 This Week
    Last Update:
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  • 2
    SUM Calculator

    SUM Calculator

    Portable bundle for Windows

    ...The application is incomparably small.) Unzip, run sumcalc.exe. That's it! You can put the folder wherever you want, except system folders with permissions (e.g. Program Files), and create a shortcut if needed. Cross-platform source and info: https://github.com/qandak/sumcalc Changelog: https://github.com/qandak/sumcalc/blob/master/CHANGELOG.md
    Downloads: 3 This Week
    Last Update:
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  • 3
    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
    Downloads: 0 This Week
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  • 4

    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.
    Downloads: 0 This Week
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  • 5
    Python program for fitting rate constants to primarily kinetic data as 1st or 2nd order kinetics or autocatalysis. It also allows specific noise cancelling, data smoothing by fourrier transform, box averaging and flowing mean. For Python 2.6 or earlier.
    Downloads: 0 This Week
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