summarizeData: Summarization of data

In scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems

Description

This is a simple function to apply a summarization function to a matrix or data frame.

Usage

summarizeData(data, fun = mean, group.by = NULL, ignore = NULL, ...)

Arguments

data	A matrix or data frame to be summarized.
fun	Function to be used in the summarization. It can be any function that, taking as first argument a numeric vector, otuputs a numeric value. Typical examples are mean, median, min, max or sd.
group.by	A vector of either column names or column indices according to which the data will be grouped to be summarized.
ignore	A vector of either column names or column indices of the columns that have to be removed from the output.
...	Additional parameters to the summarization function (fun). For example, na.rm=TRUE to indicate that the missing values should be ignored.

Value

A data frame where, for each combination of the values in the columns indicated by group.by, each column (except those in ignore) contains the summarization of the values in the original matrix that have that combination of values. #' @seealso filterData, writeTabular and the vignette vignette(topic="Data_loading_and_manipulation", package="scmamp")

Examples

data(data_blum_2015)
# Group by size and radius. Get the mean and variance of only the last two
# columns.
summarizeData (data.blum.2015, group.by=c("Radius","Size"), ignore=3:8, 
               fun=mean, na.rm=TRUE)
summarizeData (data.blum.2015, group.by=c("Radius","Size"), ignore=3:8, 
               fun=sd, na.rm=TRUE)

scmamp documentation built on May 1, 2019, 10:10 p.m.