geva.summarize {geva} | R Documentation |
Performs the summarization step by calculating the central points and variation estimates of logFC values from the input data.
geva.summarize( ginput, summary.method = options.summary, variation.method = options.variation, ... ) options.summary # c("mean", "median") options.variation # c("sd", "var", "mad")
ginput |
a |
summary.method |
single |
variation.method |
single |
... |
additional arguments. Accepts |
The options.summary
refer to the available operations to calculate central logFC values (mean
or median
), whereas options.variation
presents three functions to calculate logFC variation (sd
: Standard Deviation; var
: Variance; and mad
: Median Absolute Deviation).
Moreover, all those operations include a weighted counterpart applied using the weights
table from the GEVAInput
object.
A GEVASummary
object
stats::var()
, stats::sd()
, stats::mad()
## Summarization of a randomly generated input ginput <- geva.ideal.example() # Generates a random input example gsummary <- geva.summarize(ginput) # Summarizes with the default parameters plot(gsummary) # Plots the summarized data