simDat: Simulated Data From 2-component Mixture Models

In SIBER: Systematic Identification of Bimodally Expressed Genes Using RNAseq Data

Description

Data from 2-component mixture models (NB, GP and LN) is simulated with the true parameters given for testing and illustration purpose.

Usage

data(simDat)

Format

The data frame contains the following data objects:

parList

A list of true parameters. There are three named elements (NB, GP and LN) corresponding to the parameters used to simulate gene expression data from NB, GP and LN mixture models. Each element is a 6 by 5 matrix giving the true parameters generating the simulated data.

dataList

A list of matrices for simulated gene expression data. There are three named elements (NB, GP and LN) corresponding to the simulate gene expression data from NB, GP and LN mixture models. Each element is a 6 by 200 matrix. That is, 6 genes (rows) are simulated with 200 samples (columns). The first 3 genes in each matrix are from 2-component mixture model while the last 3 genes are from 0-inflated models.

Author(s)

Pan Tong ([e-mail]), Kevin R Coombes ([e-mail])

See Also

SIBER fitNB fitGP fitLN fitNL

Examples

library(SIBER)
data(simDat)
sapply(parList, dim)
sapply(dataList, dim)

SIBER documentation built on May 2, 2019, 5:20 p.m.