pld {polysat} | R Documentation |
Accessor, Replacement, and Manipulation Functions for "ploidysuper"
Objects
Description
pld
accesses and replaces the pld
slot of objects of
"ploidysuper"
subclasses. plCollapse
tests
whether an object of one of these classes can be converted to an object
of a simpler one of these classes, and optionally returns the converted
object. These are generic functions with methods for the subclasses of
"ploidysuper"
. These functions are primarily for internal use.
Usage
pld(object, samples, loci)
pld(object) <- value
plCollapse(object, na.rm, returnvalue)
Arguments
object |
A |
samples |
An optional character or numeric vector indexing the samples for which to return ploidy values. |
loci |
An optional character or numeric vector indexing the loci for which to return ploidy values. |
value |
A numeric vector or matrix that can be coerced to integers. These
represent the ploidies to store in the |
na.rm |
Boolean. If |
returnvalue |
Boolean. If |
Value
pld
returns the vector or matrix containing the ploidy values.
This is the contents of object@pld
.
plCollapse
either returns a Boolean value indicating whether the
ploidy can be changed to a simpler format, or a new "ploidysuper"
object with all of the ploidy data of object
put into a simpler
format. If object
is a "ploidymatrix"
object, a
"ploidysample"
, "ploidylocus"
, or "ploidyone"
object can be returned depending on how many unique ploidy values there
are and how they are distributed. If object
is a
"ploidysample"
or "ploidylocus"
object, a
"ploidyone"
object can be returned.
Author(s)
Lindsay V. Clark
See Also
Examples
test <- new("ploidymatrix", samples=c("a","b","c"),
loci=c("l1","l2","l3"))
pld(test) # view the ploidies
pld(test) <- 2 # make it diploid at all samples and loci
pld(test)["a",] <- c(2,4,4) # change the ploidies for sample a
pld(test, samples=c("a","b")) # view ploidies at a subset of samples
# test to see if the ploidies can be simplified
p <- plCollapse(test, na.rm=FALSE, returnvalue=TRUE)
p
# now change a ploidy and repeat the test
pld(test)["a","l1"] <- 4
p <- plCollapse(test, na.rm=FALSE, returnvalue=TRUE)
p
# change something else and collapse it further
pld(p)["a"] <- 2
p2 <- plCollapse(p, na.rm=FALSE, returnvalue=TRUE)
p2
# if na.rm=FALSE, NA values are not ignored:
pld(test)["a","l1"] <- NA
pld(test)
plCollapse(test, na.rm=FALSE, returnvalue=TRUE)
# NA values are ignored with na.rm=TRUE
plCollapse(test, na.rm=TRUE, returnvalue=TRUE)