rMVP (version 1.0.8)

MVP.Data.PC: Principal component analysis

Description

Principal component analysis

Usage

MVP.Data.PC(
  filePC = TRUE,
  mvp_prefix = "mvp",
  K = NULL,
  out = NULL,
  pcs.keep = 5,
  priority = "speed",
  sep = "\t",
  cpus = 1,
  verbose = TRUE
)

Value

Output file: <out>.pc.bin <out>.pc.desc

Arguments

filePC

Principal components, n*npc, n is sample size, npc is number of top columns of principal components

mvp_prefix

Prefix for mvp format files

K

Kinship matrix

out

prefix of output file name

pcs.keep

how many PCs to keep

priority

speed or memory

sep

seperator for PC file.

cpus

the number of cpu

verbose

whether to print detail.

Examples

# \donttest{
geno <- file.path(system.file("extdata", "06_mvp-impute", package = "rMVP"), "mvp.imp")

MVP.Data.PC(TRUE, mvp_prefix=geno, out=tempfile("outfile"), cpus=1)
# }