msSmoothMean: Fit a Smooth Curve Using Moving Average
In zeehio/msProcess: Protein Mass Spectra Processing
Description
Usage
Arguments
Value
See Also
Description
Fits a smooth curve to a vector using moving average and
returns a vector of fitted smooth curve values evaluated
at the original locations.
Usage
1
msSmoothMean(y, half.span=250, process="msSmoothMean")
Arguments
y
A numeric vector.
half.span
A numeric value denoting half of the window width when performing average.
Default: 250.
process
A character string denoting the name of the
process to register with the (embedded) event history object of the input
after processing the input data.
Default: "msSmoothMean".
Value
A vector of fitted smooth curve values evaluated at the original locations.
See Also
msSmoothApprox, msSmoothKsmooth, msSmoothLoess, msSmoothMonotone, msSmoothSpline, msSmoothSupsmu.
zeehio/msProcess documentation built on May 4, 2019, 10:15 p.m.
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Description Usage Arguments Value See Also
Description
Fits a smooth curve to a vector using moving average and returns a vector of fitted smooth curve values evaluated at the original locations.
Usage
1 | msSmoothMean(y, half.span=250, process="msSmoothMean")
|
Arguments
y |
A numeric vector. |
half.span |
A numeric value denoting half of the window width when performing average. Default: 250. |
process |
A character string denoting the name of the
process to register with the (embedded) event history object of the input
after processing the input data.
Default: |
Value
A vector of fitted smooth curve values evaluated at the original locations.
See Also
msSmoothApprox, msSmoothKsmooth, msSmoothLoess, msSmoothMonotone, msSmoothSpline, msSmoothSupsmu.
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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