calcEffectSize: Compute effect size for different variables from prediction...
In zwdzwd/sesame: SEnsible Step-wise Analysis of DNA MEthylation BeadChips
calcEffectSize R Documentation
Compute effect size for different variables from prediction matrix
Description
The effect size is defined by the maximum variation of a variable with all
the other variables controled constant.
Usage
calcEffectSize(pred)
Arguments
pred
predictions
Value
a data.frame of effect sizes. Columns are different variables.
Rows are different probes.
Examples
data <- sesameDataGet('HM450.76.TCGA.matched')
res <- DMLpredict(data$betas[1:10,], ~type, meta=data$sampleInfo)
head(calcEffectSize(res))
zwdzwd/sesame documentation built on June 24, 2024, 6:34 p.m.
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| calcEffectSize | R Documentation |
Compute effect size for different variables from prediction matrix
Description
The effect size is defined by the maximum variation of a variable with all the other variables controled constant.
Usage
calcEffectSize(pred)
Arguments
pred |
predictions |
Value
a data.frame of effect sizes. Columns are different variables. Rows are different probes.
Examples
data <- sesameDataGet('HM450.76.TCGA.matched')
res <- DMLpredict(data$betas[1:10,], ~type, meta=data$sampleInfo)
head(calcEffectSize(res))
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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