kurtCoeff: Adjusted Fisher-Pearson Excess Sample Kurtosis
In Rita: Automated Transformations, Normality Testing, and Reporting
kurtCoeff R Documentation
Adjusted Fisher-Pearson Excess Sample Kurtosis
Description
Adjusted Fisher-Pearson Excess Sample Kurtosis
Usage
kurtCoeff(data, sd)
Arguments
data
The data for which kurtosis is computed (vector)
sd
The population standard deviation, used to compute kurtosis (scalar)
Value
The kurtosis value (scalar)
References
Shreve, Joni N. and Donna Dea Holland . 2018. SAS® Certification Prep
Guide: Statistical Business Analysis Using SAS®9. Cary, NC: SAS Institute Inc.
Examples
values <- rnorm(100)
x <- kurtCoeff(data = values, sd = sd(values))
Rita documentation built on March 18, 2022, 6:36 p.m.
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| kurtCoeff | R Documentation |
Adjusted Fisher-Pearson Excess Sample Kurtosis
Description
Adjusted Fisher-Pearson Excess Sample Kurtosis
Usage
kurtCoeff(data, sd)
Arguments
data |
The data for which kurtosis is computed (vector) |
sd |
The population standard deviation, used to compute kurtosis (scalar) |
Value
The kurtosis value (scalar)
References
Shreve, Joni N. and Donna Dea Holland . 2018. SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9. Cary, NC: SAS Institute Inc.
Examples
values <- rnorm(100) x <- kurtCoeff(data = values, sd = sd(values))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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