init_famSKATRC: load Mega2 SQLite database and perform initialization for...

In Mega2R: Accessing and Processing a 'Mega2' Genetic Database

Description

This populates the R data frames with the specified Mega2 SQLite database. It initializes the fam(ily) table and makes sure the person entries are unique. Finally, it generates a kinship matrix from the family data. It also stores a weighting for the common and rare variant that may be used later if NULL is specified as a weight in Mega2famSKATRC. The common weighting is the function dbeta(maf, 1, 25). The rare weighting is the function dbeta(maf, 0.5, 0.5).

Usage

init_famSKATRC(db = NULL, verbose = FALSE, ALPHA = FALSE, ...)

Arguments

db	specifies the path of a Mega2 SQLite database containing study data.
verbose	TRUE indicates that diagnostic printouts should be enabled. This value is saved in the returned environment.
ALPHA	TRUE indicates that two runs of famSKAT_RC should be enabled. One with ALPHA numeric ID's and one with numeric IDs ... this is temporary. The default is FALSE.
...	fed to dbmega2_import(); should be bpPosMap= to select from the maps of base pairs, if the default is not desired.

Value

"environment" containing data frames from an SQLite database and some computed values.

Note

init_famSKATRC creates a new data frame, envir$phe, containing phenotype observations. In addition, it initializes a matrix to aid in translating a genotype allele matrix to a genotype count matrix.

It also initializes the data frame envir$famSKATRC_results to zero rows.

See Also

Mega2famSKATRC

Examples

db = system.file("exdata", "seqsimm.db", package="Mega2R")
ENV = init_famSKATRC(db, verbose = FALSE)
ls(ENV)

Mega2R documentation built on Dec. 11, 2021, 9:12 a.m.