In many applications it is useful to attach markers to their associated
ped object. In particular for bigger projects with many markers, this makes
it easier to manipulate the dataset as a unit. The function setMarkers()
replaces all existing markers with the supplied ones, while addMarkers()
appends the supplied markers to any existing ones.
setMarkers(
x,
m = NULL,
alleleMatrix = NULL,
locusAttributes = NULL,
missing = 0,
sep = NULL,
checkCons = TRUE
)addMarkers(
x,
m = NULL,
alleleMatrix = NULL,
locusAttributes = NULL,
missing = 0,
sep = NULL,
checkCons = TRUE
)
A ped object
Either a single marker object or a list of marker objects
A matrix with pedsize(x) rows, containing the observed
alleles for one or several markers. The matrix must have either 1 or 2
columns per marker. If the former, then a sep string must be a given, and
will be used to split all entries.
A list of lists, with attributes for each marker. See Details for possible attributes.
A single character (or coercible to one) indicating the symbol for missing alleles.
If this is a single string, each entry of alleleMatrix is
interpreted as a genotype, and will be split by calling strsplit(..., split = sep, fixed = TRUE). If alleleMatrix contains entries with "/",
this will be taken as separator by default. (To override this behaviour,
put sep = FALSE.)
A logical. If TRUE (default), each marker is checked for
consistency with x.
A ped object.
The most general format of locusAttributes a list of lists, one for each
marker, where possible entries in the inner lists are as follows (default
values in parenthesis):
alleles : a character vector with allele labels
afreq : a numeric vector with allele frequencies (rep.int(1/L, L),
where L = length(alleles))
chrom : chromosome number (NA)
posMb : physical location in megabases (NA)
name : marker name (NA)
mutmod : mutation model, or model name (NULL)
rate : mutation model parameter (NULL)
If locusAttributes is just a single list of attributes (not a list of
lists), then it is repeated to match the number of markers. In particular,
the shortcut locusAttributes = "snp-12" sets all markers to be SNPs with
alleles 1 and 2.`
Two alternative format of locusAttributes are allowed: If a data.frame or
matrix is given, an attempt is made to interpret it as a frequency database
in allelic ladder format. Such an interpretation is also attempted if
locusAttributes is a list of named frequency vectors (where the names are
the allele labels).
# NOT RUN {
x = singleton(1)
m1 = marker(x, '1' = 1:2)
m2 = marker(x, '1' = 'a')
x = setMarkers(x, m1)
x = addMarkers(x, m2)
x
# Reversing the order of the markers
x = setMarkers(x, list(m2, m1))
x
# }
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