Characterize: Characterize Cumulants
In zrmacc/SimTools: Utilities for Simulation Studies
Description
Usage
Arguments
Value
Examples
Description
Estimates the cumulants of a distribution using a vector of observations.
Usage
1
Characterize(y, sig = 0.05, report = T)
Arguments
y
Observations.
sig
Significance level.
report
Display result?
Value
Data.frame containing the estimated mean, variance, skewness, and kurtosis.
Examples
1
2
3
4
5
6
7
## Not run:
# Normal sample
y = rnorm(n=1e3);
# Characterize
K = Characterize(y=y);
## End(Not run)
zrmacc/SimTools documentation built on May 9, 2019, 8:08 a.m.
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Description Usage Arguments Value Examples
Description
Estimates the cumulants of a distribution using a vector of observations.
Usage
1 | Characterize(y, sig = 0.05, report = T)
|
Arguments
y |
Observations. |
sig |
Significance level. |
report |
Display result? |
Value
Data.frame containing the estimated mean, variance, skewness, and kurtosis.
Examples
1 2 3 4 5 6 7 | ## Not run:
# Normal sample
y = rnorm(n=1e3);
# Characterize
K = Characterize(y=y);
## End(Not run)
|
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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