Summary statistics — summary_statistics • notame

Computes summary statistics for each feature, possibly grouped by a factor. The statistics include mean, standard deviation (sd), median, median absolute deviation (mad), minimum (min), maximum (max) as well as 25

Usage

summary_statistics(object, grouping_cols = NULL, assay.type = NULL)

Arguments

object: a SummarizedExperiment or MetaboSet object
grouping_cols: character vector, the columns by which grouping should be done. Use NA to compute statistics without grouping.
assay.type: character, assay to be used in case of multiple assays

Value

A data frame with the summary statistics.

Examples

data(example_set)
# Group by "Group"
sum_stats <- summary_statistics(example_set, grouping_cols = "Group")
# Group by Group and Time
sum_stats <- summary_statistics(example_set, 
  grouping_cols = c("Group", "Time"))
# No Grouping
sum_stats <- summary_statistics(example_set)