| snp | R Documentation |
snp creates an snp object
is returns TRUE if x is of class 'snp'
as attempts to coerce its argument into an object of class 'snp'
reorder change the reference genotype
summary gives a summary for an object of class 'snp' including genotype
and allele frequencies and an exact thest of Hardy-Weinberg
equilibrium
plot gives a summary for an object of class 'snp' including genotype
and allele frequencies and an exact thest of Hardy-Weinberg
equilibrium in a plot. Barplot or pie are allowed
[.snp is a copy of [.factor modified to preserve all attributes
snp(x, sep = "/", name.genotypes, reorder="common",
remove.spaces = TRUE, allow.partial.missing = FALSE)
is.snp(x)
as.snp(x, ...)
## S3 method for class 'snp'
additive(o)
x |
either an object of class 'snp' or an object to be converted to class 'snp' |
sep |
character separator used to divide alleles when |
name.genotypes |
the codes for the genotypes. This argument may be useful when genotypes are coded using three different codes (e.g., 0,1,2 or hom1, het, hom2) |
reorder |
how should genotypes within an individual be reordered. Possible values are
'common' or 'minor'. The default is
|
remove.spaces |
logical indicating whether spaces and tabs will be removed from the genotypes before processing |
allow.partial.missing |
logical indicating whether one allele is permitted to be missing. When set to 'FALSE' both alleles are set to 'NA' when either is missing. |
o |
an object of class 'snp' to be coded as a linear covariate: 0,1,2 |
... |
optional arguments |
SNP objects hold information on which gene or marker alleles were observed for different individuals. For each individual, two alleles are recorded.
The snp class considers the stored alleles to be unordered , i.e., "C/T" is equivalent to "T/C". It assumes that the order of the alleles is not important.
When snp is called, x is a character vector, and it is
assumed that each element encodes both alleles. In this case, if
sep is a character string, x is assumed to be coded
as "Allele1<sep>Allele2". If sep is a numeric value, it is
assumed that character locations 1:sep contain allele 1 and
that remaining locations contain allele 2.
additive.snp recodes the SNPs for being analyzed as a linear covariate (codes 0,1,2)
The snp class extends "factor" where the levels is a character vector of possible
genotype values stored coded by paste( allele1, "", allele2, sep="/")
JR Gonzalez, L Armengol, X Sole, E Guino, JM Mercader, X Estivill, V Moreno. SNPassoc: an R package to perform whole genome association studies. Bioinformatics, 2007;23(5):654-5.
association
# some examples of snp data in different formats
dat1 <- c("21", "21", "11", "22", "21",
"22", "22", "11", "11", NA)
ans1 <- snp(dat1,sep="")
ans1
dat2 <- c("A/A","A/G","G/G","A/G","G/G",
"A/A","A/A","G/G",NA)
ans2 <- snp(dat2,sep="/")
ans2
dat3 <- c("C-C","C-T","C-C","T-T","C-C",
"C-C","C-C","C-C","T-T",NA)
ans3 <- snp(dat3,sep="-")
ans3
dat4 <- c("het","het","het","hom1","hom2",
"het","het","hom1","hom1",NA)
ans4 <- snp(dat4,name.genotypes=c("hom1","het","hom2"))
ans4
# summary
summary(ans3)
# plots
plot(ans3)
plot(ans3,type=pie)
plot(ans3,type=pie,label="SNP 10045")
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