Stixbox - A statistics toolbox

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

Licence

This toolbox is released under the CeCILL_V2 licence :

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