ssIntervalCandidate: calculate interesting time intervals
In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing
Description
Usage
Arguments
Value
See Also
Examples
View source: R/fitTimeSeries.R
Description
Calculates time intervals of interest using SS-Anova fitted confidence intervals.
Usage
1
ssIntervalCandidate(fit, standardError, timePoints, positive = TRUE, C = 0)
Arguments
fit
SS-Anova fits.
standardError
SS-Anova se estimates.
timePoints
Time points interpolated over.
positive
Positive region or negative region (difference in abundance is positive/negative).
C
Value for which difference function has to be larger or smaller than (default 0).
Value
Matrix of time point intervals of interest
See Also
cumNorm fitTimeSeries ssFit ssPerm ssPermAnalysis
Examples
1
# Not run
metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/fitTimeSeries.R
Description
Calculates time intervals of interest using SS-Anova fitted confidence intervals.
Usage
1 | ssIntervalCandidate(fit, standardError, timePoints, positive = TRUE, C = 0)
|
Arguments
fit |
SS-Anova fits. |
standardError |
SS-Anova se estimates. |
timePoints |
Time points interpolated over. |
positive |
Positive region or negative region (difference in abundance is positive/negative). |
C |
Value for which difference function has to be larger or smaller than (default 0). |
Value
Matrix of time point intervals of interest
See Also
cumNorm fitTimeSeries ssFit ssPerm ssPermAnalysis
Examples
1 | # Not run
|
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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