GENEAskew: Skewness, a measure of centredness
In GENEAclassify: Segmentation and Classification of Accelerometer Data
GENEAskew R Documentation
Skewness, a measure of centredness
Description
Many datasets do not have the highest density
of measurements in the middle of the distribution of the data.
Skewness is a measure of the asymmetry of a probability distribution.
Usage
GENEAskew(x, na.rm = TRUE, ...)
Arguments
x
numeric vector
na.rm
single logical should missing values be removed
...
other arguments to be swallowed
Value
single numeric
Examples
GENEAskew(1:10)
GENEAskew((1:10)^2)
GENEAskew((1:10)^0.5)
GENEAclassify documentation built on June 22, 2024, 11:47 a.m.
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| GENEAskew | R Documentation |
Skewness, a measure of centredness
Description
Many datasets do not have the highest density of measurements in the middle of the distribution of the data. Skewness is a measure of the asymmetry of a probability distribution.
Usage
GENEAskew(x, na.rm = TRUE, ...)
Arguments
x |
numeric vector |
na.rm |
single logical should missing values be removed |
... |
other arguments to be swallowed |
Value
single numeric
Examples
GENEAskew(1:10)
GENEAskew((1:10)^2)
GENEAskew((1:10)^0.5)
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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