NormLFC: Standard LFC effect size estimator
In erhard-lab/lfc: Log Fold Change Distribution Tools for Working with Ratios of Counts
NormLFC R Documentation
Standard LFC effect size estimator
Description
Computes the standard, normalized log2 fold change with given pseudocounts
Usage
NormLFC(A, B, pseudo = c(1, 1), normalizeFun = CenterMedian)
Arguments
A
Vector of counts from condition A
B
Vector of counts from condition B
pseudo
Vector of length 2 of the pseudo counts
normalizeFun
Function to normalize the obtained effect sizes
Value
The vector containing the estimates
Examples
NormLFC(rnorm(1000,200),rnorm(1000,100))
erhard-lab/lfc documentation built on April 25, 2023, 6:59 a.m.
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| NormLFC | R Documentation |
Standard LFC effect size estimator
Description
Computes the standard, normalized log2 fold change with given pseudocounts
Usage
NormLFC(A, B, pseudo = c(1, 1), normalizeFun = CenterMedian)
Arguments
A |
Vector of counts from condition A |
B |
Vector of counts from condition B |
pseudo |
Vector of length 2 of the pseudo counts |
normalizeFun |
Function to normalize the obtained effect sizes |
Value
The vector containing the estimates
Examples
NormLFC(rnorm(1000,200),rnorm(1000,100))
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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