microarray.t.test: T-Tests on a Matrix of Values
In definitelysean/sgaphd: Sean Gets A PhD: Research Convenience Functions
Description
This function is a wrapper for multtest::mt.teststat, which is usually used to perform t-tests
on every row of a gene expression matrix (which is stored as [genes, samples]). It returns a dataframe
with the t-statistic, p-value, and FDR adjusted p-value for each gene.
Usage
1
microarray.t.test(class.labels, dataset, test.type = "t.equalvar")
Arguments
class.labels
numeric vector of 0's and 1's identifying which sample (column in matrix) belongs to which of the two groups to be tested
definitelysean/sgaphd documentation built on May 15, 2019, 3:20 a.m.
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Description
This function is a wrapper for multtest::mt.teststat, which is usually used to perform t-tests on every row of a gene expression matrix (which is stored as [genes, samples]). It returns a dataframe with the t-statistic, p-value, and FDR adjusted p-value for each gene.
Usage
1 | microarray.t.test(class.labels, dataset, test.type = "t.equalvar")
|
Arguments
class.labels |
numeric vector of 0's and 1's identifying which sample (column in matrix) belongs to which of the two groups to be tested |
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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