glmmWrapper: glmmWrapper
In plger/iPSCpoweR: iPSCpoweR: transcriptomics-based evaluation of experimental designs for iPSC disease modeling
Description
Usage
Arguments
Value
Description
Performs one differential expression analysis using mixed models (via 'MASS::glmmPQL') and quasipoisson distribution.
Usage
1
glmmWrapper(e, nested, DEsamples = NULL, mm = NULL, paired = NULL)
Arguments
e
the expression matrix
nested
character vector of size=ncol(e), indicating the blocking variable
DEsamples
the index of the samples in which the differential expression was added. Mandatory if mm=NULL, ignored otherwise.
mm
Ignored; for consistency with alternative functions.
paired
Ignored; for consistency with alternative functions.
Value
A data.frame.
plger/iPSCpoweR documentation built on Feb. 2, 2022, 1:37 a.m.
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Description Usage Arguments Value
Description
Performs one differential expression analysis using mixed models (via 'MASS::glmmPQL') and quasipoisson distribution.
Usage
1 | glmmWrapper(e, nested, DEsamples = NULL, mm = NULL, paired = NULL)
|
Arguments
e |
the expression matrix |
nested |
character vector of size=ncol(e), indicating the blocking variable |
DEsamples |
the index of the samples in which the differential expression was added. Mandatory if mm=NULL, ignored otherwise. |
mm |
Ignored; for consistency with alternative functions. |
paired |
Ignored; for consistency with alternative functions. |
Value
A data.frame.
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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