dot-addLagsToTimeSeries: Add differences to the time-course data.
In TimeSeriesExperiment: 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.
TimeSeriesExperiment documentation built on Nov. 8, 2020, 11:09 p.m.
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.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.