Purpose
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Stixbox is a statistics toolbox which provides distribution functions, datasets,
statistical tests and plotting facilities.
Features
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* Cumulated Distribution Functions
* pks : Kolmogorov Smirnov distribution function
* Datasets
* getdata : Returns a dataset.
* Graphics
* stixbox_graphics : Demos of the graphics.
* bubblechart : Plot a bubble chart
* bubblematrix : Plot a bubble chart matrix
* 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
* betainc : Incomplete beta function
* betaln : Logarithm of beta function
* corrcoef : Correlation coefficient
* cov : Covariance matrix
* ksdensity : Kernel smoothing density estimate
* quantile : Empirical quantile
* Polynomials
* polyfit : Polynomial curve fitting
* polyval : Polynomial evaluation
* 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 Techniques
* stixbox_resamplingT : 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
* 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