movingAverage: Computes the Moving Average of a Single Time-Series
In nesscoder/TimeCycle: TimeCycle: Topology Inspired MEthod for the Detection of Cycling Transcripts
Description
Usage
Arguments
Value
See Also
View source: R/movingAverage.R
Description
Computes the moving average about a time-series defined by a specified number of points.
Usage
1
movingAverage(x, n = 3, centered = TRUE)
Arguments
x
a vector of numeric time-series expression values.
n
a numeric specifying the number of points to use in the moving average. Default n = 3.
centered
a logical scalar. Should the moving average be centered about the current points? Default TRUE (i.e. average of current point (p) with p - n/2 and p + n/2).
Value
a vector containing the smoothed numeric moving average time-series expression values.
See Also
nesscoder/TimeCycle documentation built on June 29, 2021, 5:16 a.m.
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Description Usage Arguments Value See Also
View source: R/movingAverage.R
Description
Computes the moving average about a time-series defined by a specified number of points.
Usage
1 | movingAverage(x, n = 3, centered = TRUE)
|
Arguments
x |
a |
n |
a |
centered |
a |
Value
a vector containing the smoothed numeric moving average time-series expression values.
See Also
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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