The G01 type exposes the following members.
Methods
Name | Description | |
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g01aa | g01aa calculates the mean, standard deviation, coefficients of skewness and kurtosis, and the maximum and minimum values for a set of ungrouped data. Weighting may be used.
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g01ad | g01ad calculates the mean, standard deviation and coefficients of skewness and kurtosis for data grouped in a frequency distribution.
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g01ae | g01ae constructs a frequency distribution of a variable, according to either user-supplied, or method-calculated class boundary values.
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g01af | g01af performs the analysis of a two-way contingency table or classification. If , and the total number of objects classified is or fewer, then the probabilities for Fisher's exact test are computed. Otherwise, a test statistic is computed (with Yates' correction when ), which under the assumption of no association between the classifications has approximately a chi-square distribution with degrees of freedom.
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g01al | g01al calculates a five-point summary for a single sample.
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g01am | g01am finds specified quantiles from a vector of unsorted data.
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g01bj | g01bj returns the lower tail, upper tail and point probabilities associated with a binomial distribution.
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g01bk | g01bk returns the lower tail, upper tail and point probabilities associated with a Poisson distribution.
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g01bl | g01bl returns the lower tail, upper tail and point probabilities associated with a hypergeometric distribution.
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g01da | g01da computes a set of Normal scores, i.e., the expected values of an ordered set of independent observations from a Normal distribution with mean and standard deviation .
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g01db | g01db calculates an approximation to the set of Normal Scores, i.e., the expected values of an ordered set of independent observations from a Normal distribution with mean and standard deviation .
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g01dc | g01dc computes an approximation to the variance-covariance matrix of an ordered set of independent observations from a Normal distribution with mean and standard deviation .
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g01dd | g01dd calculates Shapiro and Wilk's statistic and its significance level for testing Normality.
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g01dh | g01dh computes the ranks, Normal scores, an approximation to the Normal scores or the exponential scores as requested by you.
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g01ea | g01ea returns a one or two tail probability for the standard Normal distribution.
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g01eb | g01eb returns the lower tail, upper tail or two tail probability for the Student's -distribution with real degrees of freedom.
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g01ec | g01ec returns the lower or upper tail probability for the -distribution with real degrees of freedom.
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g01ed | g01ed returns the probability for the lower or upper tail of the or variance-ratio distribution with real degrees of freedom.
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g01ee | g01ee computes the upper and lower tail probabilities and the probability density function of the beta distribution with parameters and .
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g01ef | g01ef returns the lower or upper tail probability of the gamma distribution, with parameters and .
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g01em | g01em returns the probability associated with the lower tail of the distribution of the Studentized range statistic.
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g01ep | g01ep calculates upper and lower bounds for the significance of a Durbin–Watson statistic.
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g01er | g01er returns the probability associated with the lower tail of the von Mises distribution between and through the function name.
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g01et | g01et returns the value of the Landau distribution function .
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g01eu | ||
g01ey | g01ey returns the upper tail probability associated with the one sample Kolmogorov–Smirnov distribution.
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g01ez | g01ez returns the probability associated with the upper tail of the Kolmogorov–Smirnov two sample distribution.
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g01fa | g01fa returns the deviate associated with the given probability of the standard Normal distribution.
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g01fb | g01fb returns the deviate associated with the given tail probability of Student's -distribution with real degrees of freedom.
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g01fc | g01fc returns the deviate associated with the given lower tail probability of the -distribution with real degrees of freedom.
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g01fd | g01fd returns the deviate associated with the given lower tail probability of the or variance-ratio distribution with real degrees of freedom.
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g01fe | g01fe returns the deviate associated with the given lower tail probability of the beta distribution.
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g01ff | g01ff returns the deviate associated with the given lower tail probability of the gamma distribution.
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g01fm | g01fm returns the deviate associated with the lower tail probability of the distribution of the Studentized range statistic.
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g01ft | g01ft returns the value of the inverse of the Landau distribution function.
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g01gb | g01gb returns the lower tail probability for the noncentral Student's -distribution.
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g01gc | g01gc returns the probability associated with the lower tail of the noncentral -distribution
.
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g01gd | g01gd returns the probability associated with the lower tail of the noncentral or variance-ratio distribution.
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g01ge | g01ge returns the probability associated with the lower tail of the noncentral beta distribution.
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g01ha | g01ha returns the lower tail probability for the bivariate Normal distribution.
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g01hb | g01hb returns the upper tail, lower tail or central probability associated with a multivariate Normal distribution of up to ten dimensions.
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g01jc | g01jc returns the lower tail probability of a distribution of a positive linear combination of random variables.
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g01jd | g01jd calculates the lower tail probability for a linear combination of (central) variables.
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g01mb | g01mb returns the reciprocal of Mills' Ratio.
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g01mt | g01mt returns the value of the Landau density function .
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g01mu | ||
g01na | g01na computes the cumulants and moments of quadratic forms in Normal variates.
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g01nb | g01nb computes the moments of ratios of quadratic forms in Normal variables and related statistics.
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g01pt | g01pt returns the value of the first moment of the Landau density function.
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g01qt | g01qt returns the value of the second moment of the Landau density function.
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g01rt | g01rt returns the value of the derivative of the Landau density function.
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g01zu |