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Showing results 1 to 10 of 1,127.


Function cor.JGR [CADStat v3.0.8]
keywords
univar
title
Dialog box for computing a correlation matrix
description
Computes a correlation matrix and confidence intervals for the chosen variables. Possible computational methods are Pearson's r, Kendall's tau, and Spearman's rho.
Function kurtosis [timeDate v3043.102]
keywords
univar
title
Kurtosis
description
Functions to compute kurtosis.
Function skewness [timeDate v3043.102]
keywords
univar
title
Skewness
description
Functions to compute skewness.
Function SpecifyCoefficient [cmm v0.12]
keywords
univar
title
SpecifyCoefficient
description
Gives the generalized exp-log specification for various coefficients
Function MarginalModelFit [cmm v0.12]
keywords
univar
title
MarginalModelFit
description
Fits marginal models, by default using maximum likelihood.
Function error.margins [mipfp v3.2.1]
keywords
univar
title
Extracts the deviation between every target and generated margin
description
This method returns the maximum deviation between each generated and desired margins of the input argument. It corresponds to the absolute maximum deviation between each target margin used to generate the estimates in the mipfp object and the generated one.
Function CompareMaxDev [mipfp v3.2.1]
keywords
univar
title
Comparing deviations of mipfp objects
description
This function compares either the margins errors from different mipfp objects or the absolute maximum deviation between a given table and the estimates in the mipfp objects.
Function circ.mean [CircStats v0.2-6]
keywords
univar
title
Mean Direction
description
Returns the mean direction of a vector of circular data.
Function circ.cor [CircStats v0.2-6]
keywords
univar
title
Correlation Coefficient for Angular Variables
description
Computes a circular version of the Pearson's product moment correlation, and performs a significance test if requested.
Function circ.disp [CircStats v0.2-6]
keywords
univar
title
Circular Dispersion
description
Computes measures of dispersion for a directional data set.