LinearModelInteractionTest: LinearModelInteractionTest
In shazanfar/DCARS: Differential Correlation across Ranked Samples
Description
Usage
Arguments
Value
Examples
Description
Fits a linear model with interaction term and tests for significance of the interaction term.
Usage
1
LinearModelInteractionTest(dat, xname, yname, response = NULL)
Arguments
dat
dat is a gene expression matrix (rows genes columns samples)
xname
the name of the first gene
yname
name of the second gene
response
a vector of two class labels, if NULL then split into 50/50. odd number of samples will ignore the middle sample
Value
single value for p-value
Examples
1
2
3
data(STRING)
data(SKCM)
LinearModelInteractionTest(dat = SKCM,xname = "EIF3C",yname = "EIF5B")
shazanfar/DCARS documentation built on Oct. 14, 2020, 11:11 a.m.
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Description Usage Arguments Value Examples
Description
Fits a linear model with interaction term and tests for significance of the interaction term.
Usage
1 | LinearModelInteractionTest(dat, xname, yname, response = NULL)
|
Arguments
dat |
dat is a gene expression matrix (rows genes columns samples) |
xname |
the name of the first gene |
yname |
name of the second gene |
response |
a vector of two class labels, if NULL then split into 50/50. odd number of samples will ignore the middle sample |
Value
single value for p-value
Examples
1 2 3 | data(STRING)
data(SKCM)
LinearModelInteractionTest(dat = SKCM,xname = "EIF3C",yname = "EIF5B")
|
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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