thetas: Draw matrix of thetas to test

In pRoloc: A unifying bioinformatics framework for spatial proteomics

Description

The possible weights to be considered is a sequence from 0 (favour auxiliary data) to 1 (favour primary data). Each possible combination of weights for nclass classes must be tested. The thetas function produces a weight matrix for nclass columns (one for each class) with all possible weight combinations (number of rows).

Usage

thetas(nclass, by = 0.5, length.out, verbose = TRUE)

Arguments

nclass	Number of marker classes
by	The increment of the weights. One of 1, 0.5, 0.25, 2, 0.1 or 0.05.
length.out	The desired length of the weight sequence.
verbose	A logical indicating if the weight sequences should be printed out. Default is TRUE.

Value

A matrix with all possible theta weight combinations.

Author(s)

Lisa Breckels

Examples

dim(thetas(4, by = 0.5))
dim(thetas(4, by = 0.2))
dim(thetas(5, by = 0.2))
dim(thetas(5, length.out = 5))
dim(thetas(6, by = 0.2))

pRoloc documentation built on Nov. 8, 2020, 6:26 p.m.