SimBCarray: SimBCarray.R Simulate Array Data

In dpgaile/Schmidt525: Functions and Shiny Apps for STA 525: Statistics for Bioinformatics

Description

The functions simulates array data under a block diagonal covariance matrix and a simple linear model for the sample specific means.

Usage

SimBCarray(SimBCdes)

Arguments

SimBCdes

A SimBCdes class object which contains: N: number of samples Pblock: number of feature blocks BlockCovDF: Pblock length DF p - number of features in block rho - correlation scale - scaling factor for covariance matrix DesignMat: N x Q design matrix [Non-Full Rank for convenience] N samples and Q covariate design columns BlockBetaMat: Q x Pblock matrix of model coefficients valid per block. DesignDF: design dataframe with Q rows and columns: name - variable name type - factor of numeric SampleNames: N length character vector for the sample names FeatNames: P length character vector for the feature names

Details

add some details here

Value

A list containing:

• X: P x N data matrix

• PhenoDF: N x Qunq data frame, where Qunq is the number
  of unique variable names in DesignDF

dpgaile/Schmidt525 documentation built on May 15, 2019, 1:46 p.m.