MatrixGenotypeReader | R Documentation |
The MatrixGenotypeReader class stores a matrix of genotypes as well as SNP and scan IDs, chromosome, and position.
MatrixGenotypeReader(genotype=genotype, snpID=snpID, chromosome=chromosome, position=position, scanID=scanID)
:
genotype
must be a matrix with dimensions ('snp','scan') containing the number of A alleles : 2=AA, 1=AB, 0=BB.
snp
must be a unique integer vector of SNP ids.
chromosome
must be an integer vector of chromosomes.
Default values for chromosome codes are 1-22=autosome, 23=X, 24=XY, 25=Y,
26=M. The defaults may be changed with the arguments autosomeCode
,
XchromCode
, XYchromCode
, YchromCode
, and
MchromCode
.
position
must be an integer vector of base positions
scanID
must be a unique integer vector of scan ids .
The MatrixGenotypeReader
constructor creates and returns a
MatrixGenotypeReader instance.
In the code snippets below, object
is a MatrixGenotypeReader object.
nsnp(object)
: The number of SNPs.
nscan(object)
: The number of scans.
getSnpID(object, index)
: A unique integer vector of snp
IDs. The optional index
is a logical or
integer vector specifying elements to extract.
getChromosome(object, index, char=FALSE)
: A vector of
chromosomes. The optional index
is a logical or
integer vector specifying elements to extract.
If char=FALSE
(default), returns an integer vector.
If char=TRUE
, returns a character vector with elements in
(1:22,X,XY,Y,M,U). "U" stands for "Unknown" and is the value
given to any chromosome code not falling in the other categories.
getPosition(object, index)
: An integer vector of base pair
positions. The optional index
is a logical or
integer vector specifying elements to extract.
getScanID(object, index)
: A unique integer vector of scan
IDs. The optional index
is a logical or
integer vector specifying elements to extract.
getGenotype(object, snp=c(1,-1), scan=c(1,-1), drop=TRUE, use.names=FALSE)
:
Extracts genotype values (number of A alleles).
snp
and scan
indicate which elements to return along the snp and
scan dimensions. They must be integer vectors of the form (start,
count), where start is the index of the first data element to read
and count is the number of elements to read. A value of '-1' for
count indicates that the entire dimension should be read.
If drop=TRUE
, the result is coerced to the lowest possible dimension.
If use.names=TRUE
, names of the resulting vector or matrix are set to the SNP and scan IDs.
Missing values are represented as NA
.
getGenotypeSelection(object, snp=NULL, scan=NULL, snpID=NULL, scanID=NULL,
drop=TRUE, use.names=TRUE)
:
Extracts genotype values (number of A alleles).
snp
and scan
may be integer or logical vectors indicating which elements
to return along the snp and scan dimensions.
snpID
and scanID
allow section by values of snpID and scanID.
Unlike getGenotype
, the values requested need not be in contiguous blocks.
If order=="file"
, genotypes are returned in the order they are stored in the object. If order="selection"
, the order of SNPs and scans will match the index selection provided in snp
and scan
respectively.
Other arguments are identical to getGenotype
.
autosomeCode(object)
: Returns the integer codes for the
autosomes.
XchromCode(object)
: Returns the integer code for the X
chromosome.
XYchromCode(object)
: Returns the integer code for the
pseudoautosomal region.
YchromCode(object)
: Returns the integer code for the Y
chromosome.
MchromCode(object)
: Returns the integer code for
mitochondrial SNPs.
Stephanie Gogarten
NcdfGenotypeReader
,
GenotypeData
snpID <- 1:100
chrom <- rep(1:20, each=5)
pos <- 1001:1100
scanID <- 1:20
geno <- matrix(sample(c(0,1,2,NA), 2000, replace=TRUE), nrow=100, ncol=20)
mgr <- MatrixGenotypeReader(genotype=geno, snpID=snpID,
chromosome=chrom, position=pos, scanID=scanID)
# dimensions
nsnp(mgr)
nscan(mgr)
# get snpID and chromosome
snpID <- getSnpID(mgr)
chrom <- getChromosome(mgr)
# get positions only for chromosome 10
pos10 <- getPosition(mgr, index=(chrom == 10))
# get all snps for first scan
geno <- getGenotype(mgr, snp=c(1,-1), scan=c(1,1))
# starting at snp 50, get 10 snps for the first 5 scans
geno <- getGenotype(mgr, snp=c(50,10), scan=c(1,5))
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