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**sn**: The Skew-Normal and Skew-t Distributions**sd**: Standard deviation

# Standard deviation

### Description

The `sd`

function from the stats is replaced by a new `method`

in order to introduce a separate method to deal with objects of class
`SECdistrUv`

. The function `sd.default`

is an alias of the original
function `sd`

.

### Usage

1 2 3 |

### Arguments

`x` |
a numeric vector, matrix or data frame. |

`na.rm` |
logical. Should missing values be removed? |

`...` |
further arguments passed to or from other methods. |

### See Also

`sd`

, `SECdistrUv`

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- affineTransSECdistr: Affine transformations and marginals of a skew-elliptical...
- affineTransSECdistr: Affine transformations and marginals of a skew-elliptical...
- ais: Australian Institute of Sport data
- ais: Australian Institute of Sport data
- barolo: Price of Barolo wine
- barolo: Price of Barolo wine
- coef.selm: Coefficients of objects created by 'selm'
- coef.selm: Coefficients of objects created by 'selm'
- conditionalSECdistr: Skew-normal conditional distribution
- conditionalSECdistr: Skew-normal conditional distribution
- confint.selm: Confidence intervals for parameters of a selm-class object
- confint.selm: Confidence intervals for parameters of a selm-class object
- dmsn: Multivariate skew-normal distribution
- dmsn: Multivariate skew-normal distribution
- dmst: Multivariate skew-t distribution and skew-Cauchy distribution
- dmst: Multivariate skew-t distribution and skew-Cauchy distribution
- dp2cp: Conversion between parametrizations of a skew-elliptical...
- dp2cp: Conversion between parametrizations of a skew-elliptical...
- dsc: Skew-Cauchy Distribution
- dsc: Skew-Cauchy Distribution
- dsn: Skew-Normal Distribution
- dsn: Skew-Normal Distribution
- dst: Skew-t Distribution
- dst: Skew-t Distribution
- extractSECdistr: Extract the SEC error term from an object created by 'selm'
- extractSECdistr: Extract the SEC error term from an object created by 'selm'
- frontier: Simulated sample from a skew-normal distribution
- frontier: Simulated sample from a skew-normal distribution
- makeSECdistr: Build a skew-elliptically contoured distribution
- makeSECdistr: Build a skew-elliptically contoured distribution
- matrix-op: vech and other matrix operators
- matrix-op: vech and other matrix operators
- modeSECdistr: The mode of a skew-elliptically contoured (SEC) distribution
- modeSECdistr: The mode of a skew-elliptically contoured (SEC) distribution
- plot.SECdistr: Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
- plot.SECdistr: Plotting methods for classes 'SECdistrUv' and 'SECdistrMv'
- plot.selm: Diagnostic plots for 'selm' fits
- plot.selm: Diagnostic plots for 'selm' fits
- predict.selm: Predict method for selm-class objects
- predict.selm: Predict method for selm-class objects
- profile.selm: Profile log-likelihood function of selm-class objects
- profile.selm: Profile log-likelihood function of selm-class objects
- Qpenalty: Penalty function for log-likelihood of 'selm' models
- Qpenalty: Penalty function for log-likelihood of 'selm' models
- residuals.selm: Residuals and fitted values from 'selm' fits
- residuals.selm: Residuals and fitted values from 'selm' fits
- sd: Standard deviation
- sd: Standard deviation
- SECdistrMv-class: Class '"SECdistrMv"'
- SECdistrMv-class: Class '"SECdistrMv"'
- SECdistrUv-class: Class '"SECdistrUv"'
- SECdistrUv-class: Class '"SECdistrUv"'
- selm: Fitting linear models with skew-elliptical error term
- selm: Fitting linear models with skew-elliptical error term
- selm-class: Classes 'selm' and 'mselm' of objects created by function...
- selm-class: Classes 'selm' and 'mselm' of objects created by function...
- selm.fit: Fitting functions for 'selm' models
- selm.fit: Fitting functions for 'selm' models
- sn-package: Package 'sn': overview
- sn-package: Package 'sn': overview
- sn-st.cumulants: Cumulants of univariate skew-normal and skew-t distributions
- sn-st.cumulants: Cumulants of univariate skew-normal and skew-t distributions
- sn-st.info: Expected and observed Fisher information for SN and ST...
- sn-st.info: Expected and observed Fisher information for SN and ST...
- summary.SECdistr: Summary of a SEC distribution object
- summary.SECdistr: Summary of a SEC distribution object
- summary.SECdistr-class: Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'
- summary.SECdistr-class: Classes 'summary.SECdistrMv' and 'summary.SECdistrUv'
- summary.selm: Summarizing 'selm' fits
- summary.selm: Summarizing 'selm' fits
- T.Owen: Owen's function
- T.Owen: Owen's function
- wines: Piedmont wines data
- wines: Piedmont wines data
- zeta: Function log(2*Phi(x)) and its derivatives
- zeta: Function log(2*Phi(x)) and its derivatives