[scilab-Users] new probability and statistics toolbox - CASCI

Ricardo Fabbri rfabbri at gmail.com
Tue Aug 7 23:33:57 CEST 2012


Hi,

I am glad the toolbox got useful. The current functions are not my own
work. The intention was to release the package "as-is", without much
overhead to the original author. Otherwise, it would risk never
getting shared ;-)

See the help file inside help/cascidoc.pdf. I'm sure this could be
converted to help pages in a straightforward (albeit labor-intensive)
manner. Right now I am not able to do it myself, so volunteers are
much appreciated!

Best,

--
Dr Ricardo Fabbri
Professor of Computer Engineering
GNU/Linux registered user #175401
www.lems.brown.edu/~rfabbri
pt.wikipedia.org/wiki/IPRJ
labmacambira.sf.net


On Sun, Aug 5, 2012 at 2:30 PM,  <michael.baudin at contrib.scilab.org> wrote:
> Hi,
>
> This toolbox fills a space which is partly left empty by Scilab,
> so it is very much appreciated.
> It seems to have interesting functions for parameter estimation. The set of
> design of experiments functions is also nice.
>
> From my point of view, the main issue is the lack of help pages and the lack
> of tests. But this toolbox will be surely a source of inspiration for
> others.
>
> Best regards,
>
> Michaël
>
> PS
> For an overview of tools for probabilities and statistics in Scilab, please
> consider:
>
> http://wiki.scilab.org/Documents%20and%20tutorials%20for%20Probabilities%20and%20Statistics%20in%20Scilab
>
> For an analysis of the "ideal" statistics module, please consider the
> on-going work at:
>
> http://wiki.scilab.org/The-Ideal-Statistics-Module
>
>
>
> On Sat, 28 Jul 2012 15:09:36 -0300, Ricardo Fabbri <rfabbri at gmail.com>
> wrote:
>>
>> Hi,
>>
>> I'd like to share with you the new probability and statistics toolbox
>> CASCI that I uploaded with permission from the authors to ATOMS and
>> FORGE:
>>
>> http://atoms.scilab.org/toolboxes/casci
>>
>> The git repository is in Forge.
>>
>> Perhaps that will save some people ongoing work. Please give us
>> feedback on the usefulness of such a toolbox.
>>
>> Here are the function descriptions:
>>
>>
>> intbinomial - binomial confidence interval
>> intexponential - exponential confidence interval
>> intnormalm - normal confidence interval for μ
>> intnormals - normal confidence interval for σ
>> intpoisson - Poisson confidence interval
>> cdfbeta - beta type 1 cdf
>> cdfbeta2 - beta type 2 cdf
>> cdfbinomial - binomial cdf
>> cdfchi2 - χ2 (central and non-central) cdf
>> cdfcv - sample coefficient of variation cdf
>> cdfdphase - discrete Phase-Type cdf
>> cdfexponential - exponential cdf
>> cdffisher - Fisher (central and non-central) cdf
>> cdffoldednormal - folded normal cdf
>> cdfgamma - gamma cdf
>> cdfgev - generalized Extreme Value cdf
>> cdfhypergeometric - hypergeometric cdf
>> cdfjohnson - Johnson’s cdf
>> cdflognormal - lognormal cdf
>> cdfmedian - normal sample median cdf
>> cdfnormal - normal cdf
>> cdfpareto - Pareto cdf
>> cdfpascal - Pascal cdf
>> cdfpoisson - Poisson cdf
>> cdfrnge - normal range cdf
>> cdfstandev - normal sample standard-deviation cdf
>> cdfstudent - Student (central and non-central) cdf
>> cdfweibull - Weibull cdf
>> boxbehnken - Box-Behnken designs
>> boxcoxlinear - Box-Cox linearity transformation
>> centralcomposite - central composite designs
>> coded2natural - coded to natural variables
>> doxpand - design expansion
>> doxptim - design optimisation
>> equiradial - equiradial designs
>> factorial2 - two levels full and fractional factorial designs
>> mulreg - multilinear regression analysis
>> mulregdisp - multilinear regression analysis results display
>> mulregplot - multilinear regression analysis results plot
>> natural2coded - natural to coded variables
>> plackettburman - Plackett-Burman designs
>> simpdex - simplex designs
>> fitbeta - beta type 1 parameters estimation
>> fitgamma - gamma parameters estimation
>> fitgev - generalized Extreme Value parameters estimation
>> fitjohnson - Johnson parameters estimation
>> fitlognormal - lognormal parameters estimation
>> fitweibull - Weibull parameters estimation
>> idfbeta - beta type 1 idf
>> idfbeta2 - beta type 2 idf
>> idfchi2 - χ2 (central and non-central) idf
>> idfcv - sample coefficient of variation idf
>> idfexponential - exponential idf
>> idffisher - Fisher (central and non-central) idf
>> idfgamma - gamma idf
>> idfgev - generalized Extreme Value idf
>> idfjohnson - Johnson’s idf
>> idflognormal - lognormal idf
>> idfmedian - normal sample median idf
>> idfnormal - normal idf
>> idfpareto - Pareto idf
>> idfstandev - normal sample standard-deviation idf
>> idfstudent - Student (central and non-central) idf
>> idfweibull - Weibull idf
>> allcombination - matrix element combinations
>> allpermutation - matrix element permutations
>> arrangement - number Ap of arrangements
>> combination - number Cn of combinations
>> confhyper - confluent hypergeometric function
>> depth - non parametric multivariate depth
>> hausdorff - Hausdorff (median) distance between polylines
>> lowess - LOcally WEighted Scatterplot Smoothing
>> momdphase - first moments of a Discrete Phase-Type distribution
>> nearestneighbors - find the k nearest neighbors
>> neldermead - Nelder Mead’s downhill simplex nonlinear optimization
>> algorithm
>> savitzkygolay - Savitzky-Golay smoothing filter
>> simplex - simplex computation
>> simplexolve - solve a system of non-linear equations
>> torczon - Torczon’s multidirectional nonlinear optimization algorithm
>> vandercorput - Van der Corput’s sequence
>> boxplot - Box plot
>> qplot - quantile plot
>> qqplot - quantile-quantile plot
>> pdfbeta - beta type 1 pdf
>> pdfbeta2 - beta type 2 pdf
>> pdfbinomial - binomial pdf
>> pdfchi2 - χ2 (central and non-central) pdf
>> pdfcp - CP pdf
>> pdfcpk - CP K pdf
>> pdfcpm - CP M pdf
>> pdfcpmk - CP M K pdf
>> pdfcpuv - V ̈nnman’s Cp (u, v) pdf
>> pdfcv - sample coefficient of variation pdf
>> pdfdphase - discrete phase-type pdf
>> pdfexponential - exponential pdf
>> pdffisher - Fisher (central and non-central) pdf
>> pdffoldednormal - folded normal pdf
>> pdfgamma - gamma pdf
>> pdfgev - generalized Extreme Value pdf
>> pdfhypergeometric - hypergeometric pdf
>> pdfkernel - kernel smoothed pdf
>> pdfjohnson - Johnson’s pdf
>> pdflognormal - lognormal pdf
>> pdfmedian - normal sample median pdf
>> pdfmultinormal - multinormal pdf
>> pdfnormal - normal pdf
>> pdfpareto - Pareto pdf
>> pdfpascal - Pascal pdf
>> pdfpoisson - Poisson pdf
>> pdfrnge - normal range pdf
>> pdfstandev - normal sample standard-deviation pdf
>> pdfstudent - Student pdf
>> pdfweibull - Weibull pdf
>> quadhermite - Gauss-Hermite quadrature
>> quadlaguerre - Gauss-Laguerre quadrature
>> quadlegendre - Gauss-Legendre quadrature
>> quadsimpson - Simpson quadrature
>> rndbeta - beta type 1 random number generator
>> rndbeta2 - beta type 2 random number generator
>> rndbinomial - binomial random number generator
>> rndexponential - exponential random number generator
>> rndfoldednormal - folded normal random number generator
>> rndgamma - gamma random number generator
>> rndgev - generalized Extreme Value random number generator
>> rndjohnson - Johnson’s random number generator
>> rndlognormal - lognormal random number generator
>> rndmultinormal - multinormal random number generator
>> rndnormal - normal random number generator
>> rndpareto - Pareto random number generator
>> rndpascal - Pascal random number generator
>> rndpoisson - Poisson random number generator
>> rndstandev - normal sample standard-deviation random number
>> rndweibull - Weibull random number
>> generator
>> autocorrelation - autocorrelation coefficient
>> bootstrap - bootstrap sampling
>> correlation - correlation matrix
>> crosscorrelation - crosscorrelation coefficient
>> kurtosis - kurtosis coefficient
>> quantile - quantile
>> rnge - range
>> skewness - skewness coefficient
>> standev - standard deviation
>> totalmedian - total median coefficients
>> varcovar - variance-covariance matrix
>> arlmean - ARL of the mean control chart
>> arlmeanRR - ARL of the Run Rules mean control chart
>> arlmedian - ARL of the median control chart
>> arlmedianRR - ARL of the Run Rules median control chart
>> arlrnge - ARL of the range control chart
>> arlstandev - ARL of the standard-deviation control chart
>> arlstandevRR - ARL of the Run Rules standard-deviation control chart
>> cp - capability index CP estimation and confidence interval
>> cpk - capability index CP K estimation and confidence interval
>> krnge - range coefficients KR (n)
>> kstandev - standard-deviation coefficients KS (n, r)
>> mcpshahriari - Shahriari’s multivariate capability index CP
>> mcptaam - Taam’s multivariate capability index CP
>> andersondarling - Anderson-Darling’s normality test
>> ansaribradley - Ansari-Bradley’s test
>> bartlett - Bartlett’s test
>> grubbs - Grubbs test
>> kendall - Kendall’s test
>> levene - Levene’s test
>> mardia - Mardia’s test
>> spearman - Spearman’s test
>> tstbinomial1 - binomial one sample p test
>> tstbinomial2 - binomial two samples p test
>> tstexponential - exponential λ test
>> tstnormalm1 - normal one sample μ test
>> tstnormalm2 - normal two samples μ test
>> tstnormals1 - normal one sample σ test
>> tstnormals2 - normal two samples σ test
>> tstsku - normal skewness and kurtosis test
>> waldwolfowitz - Wald-Wolfowitz’s run test
>> wilcoxon1 - Wilcoxon’s one sample (paired) test
>> wilcoxon2 - Wilcoxon’s two samples test
>>
>>
>>
>>
>> --
>> Dr Ricardo Fabbri
>> Professor of Computer Engineering
>> GNU/Linux registered user #175401
>> www.lems.brown.edu/~rfabbri
>> pt.wikipedia.org/wiki/IPRJ
>> labmacambira.sf.net
>>
>> --
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