simData2: Generate simulated data for 'SNPinter' and 'SNPcvinter'

In FunctanSNP: Functional Analysis (with Interactions) for Dense SNP Data

Generate simulated data for SNPinter and SNPcvinter

Description

Generate simulated data for users to apply the method SNPinter and SNPcvinter, including response variable y, scalar variable Z and sequence (genotypes) data X.

Usage

simData2(n, m, seed)

Arguments

n	an interger variable specifying the number of samples to be generated.
m	an interger variable specifying the sequence length of each sample.
seed	an integer variable specifyinging the random seed used for random sequence generation.

Value

An "simData2" object that contains the list of the following items.

• y: a numeric vector representing the response variables.

• z: a matrix representing the scalar covariates, with the number of rows equal to the number of samples.

• location: a numeric vector defining the sampling sites of the sequence (genotypes) data.

• X: a matrix representing the sequence data, with the number of rows equal to the number of samples.

• beta: an "fd" object specifying the genetic effect function.

See Also

See Also as simData1, SNPinter, SNPcvinter.

Examples

library(FunctanSNP)
n <- 300
m <- 30
simdata2 <- simData2(n, m, seed = 123)

FunctanSNP documentation built on Oct. 18, 2022, 5:08 p.m.