nullResampling: Generates a 'data.frame' of Resampled Time-Series for...
In nesscoder/TimeCycle: TimeCycle: Topology Inspired MEthod for the Detection of Cycling Transcripts
Description
Usage
Arguments
Value
See Also
View source: R/nullResampling.R
Description
Generates a data.frame null resampling time-series as defined by the difference between consecutive points across all time-series.
For additional information about the null distribution used by TimeCycle, see TimeCycle's vignette:
vignette("TimeCycle").
Usage
1
nullResampling(data, numExperiments = 10000)
Arguments
data
a data.frame of numeric gene expression over time (row = genes x col = ZT times).
numExperiments
a numeric specifying the number of resampling to use in the null-distribution. Default is 10000.
Value
a data.frame of numeric resampled time-series (row = numExperiments x col = ZT times).
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/nullResampling.R
Description
Generates a data.frame null resampling time-series as defined by the difference between consecutive points across all time-series.
For additional information about the null distribution used by TimeCycle, see TimeCycle's vignette:
vignette("TimeCycle").
Usage
1 | nullResampling(data, numExperiments = 10000)
|
Arguments
data |
a |
numExperiments |
a |
Value
a data.frame of numeric resampled time-series (row = numExperiments x col = ZT times).
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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