MakeComDimLoadingsTable: MakeComDimLoadingsTable

In f-puig/R.ComDim: ComDim analysis under R environment

MakeComDimLoadingsTable

Description

Creates a long dataframe with the global and local scores (Q.scores and T.scores) suitable for ggplot.

Usage

MakeComDimLoadingsTable(model, blocks = NULL, dim = NULL, dim.ort = NULL)

Arguments

model	The output from a ComDim analysis.
blocks	The blocks from which the data will be extracted. It can be a vector of integers or a vector with the block names. Facultative.
dim	The dimensions from which the data will be extracted. It can be a vector of integers. Facultative.
dim.ort	The orthogonal dimensions from which the data will be extracted. It can be a vector of integers. If NULL, all orthogonal components are extracted. If 0, none of the orthogonal components are extracted. Facultative.

Value

A table with the selected information

Examples

b1 = matrix(rnorm(500),10,50) # 10 rows and 50 columns
b2 = matrix(rnorm(800),10,80) # 10 rows and 80 columns
b3 = matrix(rnorm(700),10,70) # 10 rows and 70 columns
b4 = matrix(rnorm(500),10,50) # 10 rows and 50 columns
# Build multi-block by adding one data block at a time:
mb <- BuildMultiBlock(b1, newSamples = paste0('sample_',1:10))
mb <- BuildMultiBlock(b2, growingMB = mb)
mb2 <- BuildMultiBlock(b3, newSamples = paste0('sample_',1:10))
mb2 <- BuildMultiBlock(b4, growingMB = mb2)
# Combine the two multi-blocks:
mb3 <- CombineMultiBlock(newMB = mb1, growingMB = mb2)

f-puig/R.ComDim documentation built on Feb. 20, 2024, 6:49 a.m.