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33 lines
1.6 KiB
Text
33 lines
1.6 KiB
Text
QtiPlot is a program for two- and three-dimensional graphical
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presentation of data sets and for data analysis. Plots can be produced
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from data sets stored in tables or from analytical functions. QtiPlot
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offers a complete alternative solution to software like Origin,
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SigmaPlot, SPSS, Regressi or Igor Pro. QtiPlot is used for teaching as
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well as for complex data analysis and visualisation in companies, high
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schools, universities and reseach institutes all over the world.
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Features:
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- Fully Python scriptable
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- OpenGL based 3D plotting
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- Publication quality plots and easy export to various image formats
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(EMF, EPS, PS, PDF, SVG, BMP, JPG, PNG, TIFF, etc ...)
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- Easy integration with LaTeX typesetting system
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- Powerful and versatile spreadsheets with column-logic calculations
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and easy import/export of multiple files
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- One-click access to extensive built-in data analysis routines
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- Advanced statistical analysis: Student's t-Test, ANOVA, chi-square
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test for variance, normality test (Shapiro-Wilk)
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- Linear and nonlinear curve fitting with weighting and estimation of
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statistical errors of the fit-parameters
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- Multi-peak fitting
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- Image analysis tools
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- Templates support: all settings for plots, tables and matrices can
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be saved and restored later on for a fast editing process
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- Project files based on folders, a powerful project explorer with
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built-in drag and drop and searching facilities
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This requires gsl, muParser, qt-assistant-compat, tamu_anova and
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(optionally) liborigin. All of these are available at SlackBuilds.org.
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In addition, QtiPlot comes with QTeXEngine built in and its own,
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slightly modified versions of qwt and qwtplot3d.
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