View source: R/mega2famskatrc.R
DOfamSKATRC | R Documentation |
Convert the genotypesraw() allele patterns of 0x10001, 0x10002 (or 0x20001), 0x20002, 0
to the numbers 0, 1, 2, 9 for each marker. (Reverse, the order iff allele "1" has the
minor allele frequency.) Ignore markers that have no variants.
Finally, invoke famSKAT_RC
with the converted genotype matrix.
Save information about the range and the p.value calculated by famSKAT_RC
in envir$famSKATRC_results.
If you want to change the argument values to this function they should be changed instead
when calling the Mega2famSKATRC
function.
DOfamSKATRC(
markers_arg,
range_arg,
envir,
pheno = 3,
id = NULL,
covariates = NULL,
sqrtweights_c = NULL,
sqrtweights_r = NULL,
binomialimpute = TRUE,
acc = 1e-06,
maf = 0.05,
phi = c(0, 0.2, 0.5, 0.9)
)
markers_arg |
a data.frame with the following 5 observations:
|
range_arg |
one row of a ranges_arg. The latter is a data frame of at least three integer columns. The columns indicate a range: a chromosome number, a start base pair value, and an end base pair value. |
envir |
'environment' containing SQLite database and other globals especially the
phenotype_table, |
pheno |
is an index into the phenotypes_table to select the phenotype. Missing phenotypes are represented by NA. |
id |
a vector of individuals to be included in the test, a subset of the family members. If NULL is given, all members will be used. |
covariates |
a matrix of covariates for the phenotype. |
sqrtweights_c |
weight function for common variants, if NULL use weight set in init_famSKAT |
sqrtweights_r |
weight function for rare variants, if NULL use weight set in init_famSKAT. |
binomialimpute |
if TRUE, impute missing genotypes using a binomial distribution. |
acc |
accuracy used in Davies approximation. |
maf |
threshold used to separate rare from common variants. |
phi |
a vector of ratios ratios; each indicates the contribution of rare variants. |
None
This function accumulates output in the data frame, envir$famSKATRC_results. It will print out the lines as they are generated if envir$verbose is TRUE. It does not write the data frame to a file. You must save the data frame. You also must initialize the data frame when necessary.
init_famSKATRC
, Mega2famSKATRC
db = system.file("exdata", "seqsimm.db", package="Mega2R")
ENV = init_famSKATRC(db, verbose = TRUE)
ENV$famSKATRC_results = ENV$famSKATRC_results[0, ]
Mega2famSKATRC(gs=1:1, envir=ENV, pheno=3)
# this sets one of the many arguments for DOfamSKATRC
# but basically prepares the ENV for the direct use of DOfamSKATRC (below).
# donttestcheck: try this below instead if there is time
Mega2famSKATRC(genes=c("CEP104"), envir=ENV, pheno=3 )
# DOfamSKATRC is called within Mega2famSKATRC. init_famSKATRC and Mega2famSKATRC need to be
# called to set up the environment for famSKAT_RC to run. BUT, you should ignore DOfamSKATRC
# and use Mega2famSKATRC instead.
#
applyFnToRanges(DOfamSKATRC, ENV$refRanges[50:60, ], ENV$refIndices, envir=ENV)
# this will use all the default argument values for DOfamSKATRC
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