dot-addLagsToTimeSeries: Add differences to the time-course data.
In nlhuong/vistimeseq: Analysis for short time-series data
Description
Usage
Arguments
Value
Description
This function add lag difference features
to the time-course data.
Usage
1
.addLagsToTimeSeries(timeseries, lambda)
Arguments
timeseries
a data matrix or data.frame where each
column corresponds to consecutive time point.
lambda
Weights for each lag difference, for time-course data.
Length of lambda specifies number of lags to include. By default
lag of order one and two are included with coefficients 0.5 and 0.25
respectively.
Value
a data matrix with added difference lags.
nlhuong/vistimeseq documentation built on Sept. 4, 2021, 2:41 a.m.
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Description Usage Arguments Value
Description
This function add lag difference features to the time-course data.
Usage
1 | .addLagsToTimeSeries(timeseries, lambda)
|
Arguments
timeseries |
a data matrix or data.frame where each column corresponds to consecutive time point. |
lambda |
Weights for each lag difference, for time-course data.
Length of |
Value
a data matrix with added difference lags.
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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