Stixbox

Stixbox

Purpose

Stixbox is a statistics toolbox which provides distribution functions, datasets, statistical tests and plotting facilities.

Features

  • Box-Cox
    • boxcox : Box-Cox transformation
    • boxcoxestimate : Search optimal lambda
    • boxcoxinverse : Inverse Box-Cox transformation
    • boxcoxloglikelihood : Box-Cox log-likelihood
    • boxcoxplot : Box-Cox plot
  • Datasets
    • getdata : Famous datasets
    • getdatanumber : Number of available datasets
  • Graphics
    • Tutorial : Demos of the graphics.
    • boxplot : Draw a box plot
    • bubblechart : Plot a bubble chart
    • bubblematrix : Plot a bubble chart
    • filledbounds : Fill the area between two curves
    • histo : Plot a histogram
    • identify : Identify points on a plot with mouse clicks
    • normplot : Normal probability paper
    • plotmatrix : Plot an X vx Y scatter plot matrix
    • plotsym : Plot with symbols
    • qqplot : Create a QQ-plot
    • stairs : Stairstep graph
  • Logistic Regression
    • lodds : Log odds function
    • loddsinv : inverse of log odd
    • logitfit : Fit a logistic regression model
  • Miscellaneous
    • betaln : Logarithm of beta function
    • histocvimse : Cross-validation IMSE of an histogram.
    • histocvsearch : Search optimal CV number of bins in a histogram.
    • ksdensity : Kernel smoothing density estimate
    • ksdensity_kernelcdf : Evaluate kernel for CDF
    • ksdensity_kernelpdf : Evaluate kernel for PDF
    • quantile : Empirical quantile (percentile).
    • regres : Multiple linear regression
    • regresprint : Print linear regression
    • stixbox_getpath : Returns the path to the current module.
  • Polynomials
    • polyfit : Polynomial curve fitting
    • polyval : Polynomial evaluation
  • Regression
    • cmpmod : Compare linear submodel versus larger one
    • lsfit : Fit a multiple regression normal model
    • lsselect : Select a predictor subset for regression
    • regress : Multiple linear regression
    • regressprint : Print linear regression
  • Resampling
    • T and extra arguments : How to use extra-arguments in T.
    • ciboot : Bootstrap confidence intervals
    • covboot : Bootstrap estimate of the variance of a parameter estimate.
    • covjack : Jackknife estimate of the variance of a parameter estimate.
    • rboot : Simulate a bootstrap resample
    • stdboot : Bootstrap estimate of the parameter standard deviation.
    • stdjack : Jackknife estimate of the standard deviation of a parameter estimate.
  • Tests, confidence intervals and model estimation
    • ciquant : Nonparametric confidence interval for quantile
    • kstwo : Kolmogorov-Smirnov statistic from two samples
    • test1b : Bootstrap test that mean equals zero
    • test1n : Test that mean equals zero (Normal)
    • test1r : Test for median equals 0 using rank test
    • test2n : Tests two normal samples with equal variance
    • test2r : Test location equality of two samples using rank test

Dependencies

  • This module depends on Scilab (v>=5.4).
  • This module depends on the "apifun" module.
  • This module depends on the "helptbx" module.
  • This module depends on the "distfun" module (v>=0.8).
  • This module depends on the "linalg" module (v>=0.3.1).
  • This module depends on the "makematrix" module (v>=0.4)

ATOMS

http://atoms.scilab.org/toolboxes/stixbox

Bibliography

  • http://www.maths.lth.se/matstat/stixbox/
  • http://www.math.u-psud.fr/~agreg/AgregSoft/WEB/logiciels.html

Authors

The Scilab toolbox stixbox is derived from the matlab stixbox 1.1 version

  • Copyright (C) 2012-2016 - Michael Baudin
  • Copyright (C) 2010-2011 - DIGITEO - Michael Baudin
  • Copyright (C) 2008 - INRIA - Allan CORNET
  • Copyright (C) 2006 - INRIA - Serge Steer
  • Copyright (C) 2001 - ENPC - Jean-Philippe Chancelier
  • Copyright (C) Paris Sud University.
  • Copyright (C) INRIA - Maurice Goursat
  • Copyright (C) 2000 - Anders Holtsberg

Licence

This toolbox is released under the CeCILL_V2 licence :

http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt

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