alias | Alias structure of a fractional design. |
cdr | Complete Defining Relation |
cempdistr | Computes and plots the conditional empirical CDF |
cl2cnr | Column Label to Column Number |
cnr2cl | Column Number to Column Label. |
comnsize | Check if all input arguments are either scalar or of common size. |
Contents | Module WSTATS in WAFO Toolbox. |
cplot | Cubic plot of responses |
dist2dcdf | Joint 2D CDF computed as int F(X1 |
dist2dcdfplot | Plot conditional empirical CDF of X1 given X2=x2 |
dist2dfit | Parameter estimates for DIST2D data. |
dist2dfun | is an internal function to dist2dcdf dist2dprb. |
dist2dparamplot | Plot parameters of the conditional distribution |
dist2dpdf | Joint 2D PDF computed as f(x1|X2=x2)*f(x2) |
dist2dpdf2 | Joint 2D PDF computed as f(x1|X2=x2)*f(x2) |
dist2dprb | returns the probability for rectangular regions. |
dist2drnd | Random points from a bivariate DIST2D distribution |
dist2dsmfun | Smooths the conditional DIST2D distribution parameters. |
dist2dsmfun2 | Smooths the conditional DIST2D distribution parameters. |
dist2dstat | Mean and variance for the DIST2D distribution |
dist2dstatplot | Computes and plots the conditional mean and standard deviation |
distplot | Displays a 1D distribution probability plot. |
empdistr | Computes and plots the empirical CDF |
ffd | Two-level Fractional Factorial Design |
fitmodel | Fits response by polynomial |
getmodel | Return the model parameters |
identify | Identify points on a plot by clicking with the mouse. |
iqr | Computes the Inter Quartile Range |
kdeplot | Computes and plots a kernel density estimate of PDF |
loglike | Log-likelihood function. |
mdist2dcdf | Joint 2D CDF due to Plackett |
mdist2dcdfplot | Plot conditional empirical CDF of X1 given X2=x2 |
mdist2dcinv | Inverse of the conditional cdf of X2 given X1. |
mdist2dfit | Parameter estimates for MDIST2D data. |
mdist2dlike | MDIST log-likelihood function. |
mdist2dpdf | Joint 2D PDF due to Plackett given as f{x1}*f{x2}*G(x1,x2;Psi). |
mdist2dpdf2 | Joint 2D PDF due to Plackett given as f{x1}*f{x2}*G(x1,x2;Psi). |
mdist2drnd | Random points from a bivariate MDIST2D distribution |
mdist2dstat | Mean and variance for the MDIST2D distribution. |
mdist2dstatplot | Computes and plots the conditional mean and standard deviation. |
mvnormpdf | Multivariate Normal probability density function. |
nplot | Normal probability plot of effects |
pairs | Pairwise scatter plots. |
range | Calculates the difference between the maximum and minimum values. |
Readme | Readme file for module WSTATS in WAFO Toolbox. |
ryates | Reverse Yates' algorithm to give estimated responses |
sudg | Some Useful Design Generators |
var | Variance |
walpharnd | Random matrices from a symmetric alpha-stable distribution |
wbetacdf | Beta cumulative distribution function |
wbetafit | Parameter estimates for Beta data. |
wbetainv | Inverse of the Beta distribution function |
wbetapdf | Beta probability density function |
wbetarnd | Random matrices from a Beta distribution |
wbetastat | Mean and variance for the Beta distribution. |
wchi2cdf | Chi squared cumulative distribution function |
wchi2fit | Parameter estimates for Chi squared data. |
wchi2inv | Inverse of the Chi squared distribution function |
wchi2pdf | Chi squared probability density function |
wchi2rnd | Random matrices from a Chi squared distribution. |
wchi2stat | Mean and variance for the Chi squared distribution. |
weib2dcdf | Joint 2D Weibull cumulative distribution function |
weib2dcdfplot | Plot conditional empirical CDF of X1 given X2=x2 |
weib2dcinv | Inverse of the conditional 2D weibull cdf of X2 given X1. |
weib2dfit | Parameter estimates for 2D Weibull data. |
weib2dlike | 2D Weibull log-likelihood function. |
weib2dpdf | 2D Weibull probability density function (pdf). |
weib2dpdf2 | Joint 2D Weibull probability density function |
weib2dprb | returns the probability for rectangular regions. |
weib2drnd | Random numbers from the 2D Weibull distribution. |
weib2dstat | Mean and variance for the 2D Weibull distribution |
weib2dstatplot | Computes and plots the conditional mean and standard deviation |
wexpcdf | Exponential cumulative distribution function |
wexpfit | Parameter estimates for Exponential data. |
wexpinv | Inverse of the Exponential distribution function |
wexppdf | Exponential probability density function |
wexpplot | Plots data on a Exponential distribution paper |
wexprnd | Random matrices from an Exponential distribution |
wexpstat | Mean and variance for the Exponential distribution. |
wfcdf | Snedecor's F cumulative distribution function |
wfinv | Inverse of the Snedecor's F distribution function |
wfpdf | Snedecor's F probability density function |
wfrechcdf | Frechet cumulative distribution function |
wfrechinv | Inverse of the Frechet distribution function |
wfrechpdf | Frechet probability density function |
wfrechstat | Mean and variance for the Frechet distribution. |
wfrnd | Random matrices from the Snedecor's F distribution |
wfstat | Mean and variance for the Snedecor's F distribution. |
wgamafit | Is an internal routine for wgamfit |
wgamcdf | Gamma cumulative distribution function |
wgamfit | Parameter estimates for Gamma data. |
wgaminv | Inverse of the Gamma distribution function |
wgampdf | Gamma probability density function |
wgamrnd | Random matrices from a Gamma distribution. |
wgamstat | Mean and variance for the Gamma distribution. |
wgevcdf | Generalized Extreme Value cumulative distribution function |
wgevfit | Parameter estimates for GEV data |
wgevinv | Inverse of the Generalized Extreme Value distribution function |
wgevlike | Is an internal routine for wgevfit |
wgevpdf | Generalized Extreme Value probability density function |
wgevrnd | Random matrices from a Generalized Extreme Value distribution |
wgevstat | Mean and variance for the GEV distribution. |
wggambfit | Is an internal routine for wggamfit |
wggamcdf | Generalized Gamma cumulative distribution function |
wggamfit | Parameter estimates for Generalized Gamma data. |
wggaminv | Inverse of the Generalized Gamma distribution function |
wggampdf | Generalized Gamma probability density function |
wggamrnd | Random matrices from a Generalized Gamma distribution. |
wggamstat | Mean and variance for the Generalized Gamma distribution. |
wgpdcdf | Generalized Pareto cumulative distribution function |
wgpdfit | Parameter estimates for Generalized Pareto data |
wgpdfit_ml | Internal routine for wgpdfit (ML estimates for GPD data) |
wgpdinv | Inverse of the Generalized Pareto distribution function |
wgpdpdf | Generalized Pareto probability density function |
wgpdrnd | Random matrices from a Generalized Pareto Distribution |
wgpdstat | Mean and variance for the Generalized Pareto distribution. |
wgumbafit | Is an internal routine for wgumbfit |
wgumbcdf | Gumbel cumulative distribution function. |
wgumbfit | Parameter estimates for Gumbel data. |
wgumbinv | Inverse of the Gumbel distribution function. |
wgumbpdf | Gumbel probability density function. |
wgumbplot | Plots data on a Gumbel distribution paper. |
wgumbrnd | Random matrices from a Gumbel distribution. |
wgumbstat | Mean and variance for the Gumbel distribution. |
wgumbtest | Tests whether the shape parameter in a GEV is equal to zero |
whisto | Plots a histogram |
winvgcdf | Inverse Gaussian cumulative distribution function |
winvgfit | Parameter estimates for Inverse Gaussian data. |
winvginv | Inverse of the Inverse Gaussian distribution function |
winvgpdf | Inverse Gaussian probability density function |
winvgrnd | Random matrices from a Inverse Gaussian distribution. |
winvgstat | Mean and variance for the Inverse Gaussian distribution. |
wkurtosis | Computes sample kurtosis |
wlogncdf | Lognormal cumulative distribution function |
wlognfit | Parameter estimates for Lognormal data. |
wlogninv | Inverse of the Lognormal distribution function |
wlognpdf | Lognormal probability density function |
wlognrnd | Random matrices from a Lognormal distribution. |
wlognstat | Mean and variance for the Lognormal distribution. |
wmnormrnd | Random vectors from a multivariate Normal distribution |
wnormcdf | Normal cumulative distribution function |
wnormfit | Parameter estimates for Normal data. |
wnorminv | Inverse of the Normal distribution function |
wnormndpdf | N-Dimensional Normal probability density function. |
wnormpdf | Normal probability density function |
wnormplot | Plots data on a Normal distribution paper |
wnormrnd | Random matrices from a Normal distribution. |
wnormstat | Mean and variance for the Normal distribution. |
wqqplot | Plot empirical quantile of X vs empirical quantile of Y |
wquantile | Empirical quantile (percentile). |
wraylcdf | Rayleigh cumulative distribution function |
wraylfit | Parameter estimates for Rayleigh data. |
wraylinv | Inverse of the Rayleigh distribution function |
wraylpdf | Rayleigh probability density function |
wraylplot | Plots data on a Rayleigh distribution paper |
wraylrnd | Random matrices from a Rayleigh distribution |
wraylstat | Mean and variance for the Rayleigh distribution. |
wskewness | Computes sample skewness |
wtcdf | Student's T cumulative distribution function |
wtfit | Parameter estimates for Student's T data. |
wtinv | Inverse of the Student's T distribution function |
wtpdf | Student's T probability density function |
wtraylcdf | Truncated Rayleigh cumulative distribution function |
wtraylfit | Parameter estimates for Truncated Rayleigh data. |
wtraylpdf | Truncated Rayleigh probability density function |
wtrnd | Random matrices from a Student's T distribution |
wtstat | Mean and variance for the Student's T distribution. |
wtweibcdf | Truncated Weibull cumulative distribution function |
wtweibfit | Parameter estimates for truncated Weibull data. |
wtweibfun | Is an internal routine for wtweibfit |
wtweibpdf | Truncated Weibull probability density function |
wweibcdf | Weibull cumulative distribution function |
wweibcfit | Is an internal routine for wweibfit |
wweibfit | Parameter estimates for Weibull data. |
wweibinv | Inverse of the Weibull distribution function |
wweibpdf | Weibull probability density function |
wweibplot | Plots data on a Weibull distribution paper |
wweibrnd | Random matrices a the Weibull distribution. |
wweibstat | Mean and variance for the Weibull distribution. |
yates | Calculates main and interaction effects using Yates' algorithm. |