aggregate_samples: Aggregate samples

In specmine: Metabolomics and Spectral Data Analysis and Mining

Description

Aggregate samples according to an aggregate function like mean, median, etc.

Usage

aggregate_samples(dataset, indexes, aggreg.fn = "mean", 
meta.to.remove = c())

Arguments

dataset	list representing the dataset from a metabolomics experiment.
indexes	index vector with the samples that are going to be aggregated (e.g. c(1,1,2,2), this index vector will aggregate the first two samples and the last two samples).
aggreg.fn	aggregation function (e.g. "mean", "median", etc).
meta.to.remove	metadata's variables to be removed.

Value

Returns the dataset with the samples aggregated.

Examples

  ## Example of aggregating samples
  library(specmine.datasets)
  data(propolis)
  propolis_proc = missingvalues_imputation(propolis)
  dataset = aggregate_samples(propolis_proc, as.integer(propolis$metadata$seasons), "mean") 

specmine documentation built on Sept. 21, 2021, 5:06 p.m.