NormalQQPlot: Normal Quantile Quantile Plot
In Dowd: Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's Book Measuring Market Risk
Description
Usage
Arguments
Author(s)
References
Examples
Description
Produces an emperical QQ-Plot of the quantiles of the data set 'Ra' versus
the quantiles of a normal distribution. The purpose of the quantile-quantile plot is to determine whether the sample in 'Ra' is drawn from a normal (i.e., Gaussian) distribution.
Usage
1
NormalQQPlot(Ra)
Arguments
Ra
Vector data set
Author(s)
Dinesh Acharya
References
Dowd, K. Measuring Market Risk, Wiley, 2007.
Examples
1
2
3
# Normal QQ Plot for randomly generated standard normal data
Ra <- rnorm(100)
NormalQQPlot(Ra)
Example output
Loading required package: bootstrap
Loading required package: MASS
Loading required package: forecast
Dowd documentation built on May 2, 2019, 6:15 p.m.
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Description Usage Arguments Author(s) References Examples
Description
Produces an emperical QQ-Plot of the quantiles of the data set 'Ra' versus the quantiles of a normal distribution. The purpose of the quantile-quantile plot is to determine whether the sample in 'Ra' is drawn from a normal (i.e., Gaussian) distribution.
Usage
1 | NormalQQPlot(Ra)
|
Arguments
Ra |
Vector data set |
Author(s)
Dinesh Acharya
References
Dowd, K. Measuring Market Risk, Wiley, 2007.
Examples
1 2 3 | # Normal QQ Plot for randomly generated standard normal data
Ra <- rnorm(100)
NormalQQPlot(Ra)
|
Example output
Loading required package: bootstrap
Loading required package: MASS
Loading required package: forecast
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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