smooth.average: Calculates a sensible moving average based on smoothing...
In MartinKies/USLR: Reinforcement Learning with R
View source: R/HelpfullFunctions.R
Description
Calculates a sensible moving average based on smoothing parameter
Usage
1
smooth.average(input, smooth = 5, show = "value")
Arguments
smooth
How much should be smoothed. This is the total value of used data points, so (smooth-1)/2 is smoothed in either direction.
show
Either 'value' for the actual value or 'sd' for a running of the averaged Standarddeviation within the smoothing range
MartinKies/USLR documentation built on Nov. 10, 2019, 5:24 a.m.
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View source: R/HelpfullFunctions.R
Description
Calculates a sensible moving average based on smoothing parameter
Usage
1 | smooth.average(input, smooth = 5, show = "value")
|
Arguments
smooth |
How much should be smoothed. This is the total value of used data points, so (smooth-1)/2 is smoothed in either direction. |
show |
Either 'value' for the actual value or 'sd' for a running of the averaged Standarddeviation within the smoothing range |
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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