simulateDropoutCounts: Generate simulation data from negative binomial (NB)...

Description Usage Arguments Value Author(s) Examples

Description

This function generates simulation data with arbitrary defined experimental condition.

Usage

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simulateDropoutCounts(Ngene = 10000, makeDEG=TRUE, PDEG = 0.02, DEG.assign = c(0.5, 0.5), DEG.thr = c("E1", "E1"), replicates = c(48, 48), Lambda = 1)

Arguments

Ngene

No. of gene (defalult:10000)

makeDEG

Whether make DEG or not (defalult:TRUE)

PDEG

Percentage of DEG (defalult:0.02)

DEG.assign

Ratio of DEG in each cluster (defalult:c(0.5, 0.5))

DEG.thr

Fold change in each cluster (defalult:c("E5", "E5"))

replicates

No of repeated measurement in each cluster (defalult:c(3, 3))

Lambda

(defalult:0.1)

Value

DEG

DEG list

FC

Design matrix specifying fold change

Simcount

Count data.frame generated by this function

Author(s)

Koki Tsuyuzaki, Haruka Ozaki, Mika Yoshimura, Itoshi Nikaido

Maintainer: Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp>

Examples

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res1 <- simulateDropoutCounts()
str(res1)

rikenbit/fuchikoma documentation built on May 27, 2019, 9:09 a.m.