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Stixbox

Statistics toolbox
(186 downloads for this version - 67031 downloads for all versions)
Details
Version
2.9.1
Authors
Anders Holtsberg
Paris Sud University
Maurice Goursat
Jean-Philippe Chancelier
Serge Steer
Allan Cornet
Michael Baudin
Owner Organization
INRIA,DIGITEO, Universite Paris Sud, and Dassault Systèmes
Maintainers
Allan CORNET
Michael BAUDIN
Adeline CARNIS
License
Dependencies
Creation Date
October 25, 2024
Source created on
Scilab 2025.0.x
Binaries available on
Scilab 2023.0.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Scilab 2024.0.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Scilab 2025.0.x:
Windows 64-bit Windows 32-bit Linux 64-bit Linux 32-bit macOS
Install command
--> atomsInstall("stixbox")
Description
            Purpose
-------

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

Features
--------

 * Datasets
   * getdata : Famous 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
   * plotmatrix : Plot an X vx Y scatter plot matrix
   * plotsym : Plot with symbols
   * qqnorm : Normal probability paper
   * 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 
   * cov : Covariance matrix 
   * 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.
 * Random Numbers
   * rexpweib : Random numbers from the exponential or weibull distributions 
 * Regression
   * cmpmod : Compare linear submodel versus larger one
   * lsfit : Fit a multiple regression normal model
   * lsselect : Select a predictor subset for regression
   * regres : Multiple linear regression
   * regresprint : 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
            
Files (4)
[782.23 kB]
OS-independent binary for Scilab 2024.0.x

[766.92 kB]
OS-independent binary for Scilab 2025.0.x

[1.01 MB]
Source code archive

[779.71 kB]
OS-independent binary for Scilab 2023.0.x

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