prior.sigma: Compute the prior of covariance matrix
In TANOVA: Time Course Analysis of Variance for Microarray
Description
Usage
Arguments
Author(s)
See Also
Description
This is an internal function.
Usage
1
2
prior.sigma(Q,f1,f2,tp=0)
prior.SIGMA(data,f1,f2,time.course)
Arguments
Q
internal parameter
data
a data matrix containing expression values. Row and column represent gene (probe set) and array respectively
f1
a vector containing the levels of a factor in each array
f2
a vector containing the levels of a factor in each array
tp
a vector containing the sampling time point of each array
time.course
the number of time points sampled
Author(s)
Baiyu Zhou zhouby98@stanford.edu & Weihong xu weihongx@stanford.edu
See Also
TANOVA documentation built on May 29, 2017, 12:31 p.m.
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Description Usage Arguments Author(s) See Also
Description
This is an internal function.
Usage
1 2 | prior.sigma(Q,f1,f2,tp=0)
prior.SIGMA(data,f1,f2,time.course)
|
Arguments
Q |
internal parameter |
data |
a data matrix containing expression values. Row and column represent gene (probe set) and array respectively |
f1 |
a vector containing the levels of a factor in each array |
f2 |
a vector containing the levels of a factor in each array |
tp |
a vector containing the sampling time point of each array |
time.course |
the number of time points sampled |
Author(s)
Baiyu Zhou zhouby98@stanford.edu & Weihong xu weihongx@stanford.edu
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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