cv: Computes Pearson's coefficient of variation
In SciencePo: Political Behaviour Analysis Tool
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This functions computes the absolute coefficient of variation as
proposed by Pearson: standard deviation divided by the
mean. Essentially, cv reflects a normalized measure of dispersion of a
probability distribution. Distributions with cv < 1 are considered
low-variance, while those with cv > 1 high-variance.
Usage
1
cv(x)
Arguments
x
is a numeric vector.
Details
sd(x)/mean(x) = cv, which is the inverse of signal-to-noise ratio.
Value
Will return the computation of the variation.
Author(s)
Daniel Marcelino
Examples
1
2
SciencePo documentation built on May 2, 2019, 5:53 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This functions computes the absolute coefficient of variation as proposed by Pearson: standard deviation divided by the mean. Essentially, cv reflects a normalized measure of dispersion of a probability distribution. Distributions with cv < 1 are considered low-variance, while those with cv > 1 high-variance.
Usage
1 | cv(x)
|
Arguments
x |
is a numeric vector. |
Details
sd(x)/mean(x) = cv, which is the inverse of signal-to-noise ratio.
Value
Will return the computation of the variation.
Author(s)
Daniel Marcelino
Examples
1 2 |
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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