Nothing
### =========================================================================
### MaskCollection objects
### -------------------------------------------------------------------------
setClass("MaskCollection",
contains="IntegerRangesList",
representation(
nir_list="list", # a list of NormalIRanges objects
width="integer",
active="logical",
NAMES="character", # R doesn't like @names !!
desc="character"
),
prototype(
nir_list=list(),
width=0L,
active=logical(0),
NAMES=as.character(NA),
desc=as.character(NA)
)
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The "length" and accessor methods.
###
setGeneric("nir_list", function(x) standardGeneric("nir_list"))
setMethod("nir_list", "MaskCollection", function(x) x@nir_list)
setMethod("length", "MaskCollection", function(x) length(nir_list(x)))
setMethod("width", "MaskCollection", function(x) x@width)
setMethod("active", "MaskCollection",
function(x)
{
ans <- x@active
names(ans) <- names(x)
ans
}
)
setReplaceMethod("active", "MaskCollection",
function(x, value)
{
if (!is.logical(value) || S4Vectors:::anyMissing(value))
stop("'value' must be a logical vector with no NAs")
x@active[] <- value
x
}
)
setMethod("names", "MaskCollection",
function(x) if (length(x@NAMES) == 1 && is.na(x@NAMES)) NULL else x@NAMES
)
setReplaceMethod("names", "MaskCollection",
function(x, value)
{
if (is.null(value)) {
x@NAMES <- NA_character_
return(x)
}
value <- as.character(value)
ii <- is.na(value)
if (any(ii))
value[ii] <- ""
if (length(value) > length(x))
stop("too many names")
if (length(value) < length(x))
value <- c(value, character(length(x) - length(value)))
x@NAMES <- value
x
}
)
setGeneric("desc", function(x) standardGeneric("desc"))
setMethod("desc", "MaskCollection",
function(x) if (length(x@desc) == 1 && is.na(x@desc)) NULL else x@desc
)
setGeneric("desc<-", signature="x",
function(x, value) standardGeneric("desc<-")
)
setReplaceMethod("desc", "MaskCollection",
function(x, value)
{
if (is.null(value)) {
x@desc <- as.character(NA)
return(x)
}
if (!is.character(value))
stop("'value' must be NULL or a character vector")
ii <- is.na(value)
if (any(ii))
value[ii] <- ""
if (length(value) > length(x))
stop("too many names")
if (length(value) < length(x))
value <- c(value, character(length(x) - length(value)))
x@desc <- value
x
}
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Validity.
###
.valid.MaskCollection.width <- function(x)
{
if (!isSingleInteger(width(x)) || width(x) < 0)
return("the width of the collection must be a single non-negative integer")
NULL
}
.valid.MaskCollection.nir_list <- function(x)
{
if (!is.list(nir_list(x))
|| !all(sapply(nir_list(x), function(nir) is(nir, "NormalIRanges"))))
return("the 'nir_list' slot must contain a list of NormalIRanges objects")
if (!all(1 <= min(x)) || !all(max(x) <= width(x)))
return("the min and max of the masks must be >= 1 and <= width of the collection")
NULL
}
.valid.MaskCollection.active <- function(x)
{
if (!is.logical(active(x)) || S4Vectors:::anyMissing(active(x)))
return("the 'active' slot must be a logical vector with no NAs")
if (length(active(x)) != length(x))
return("the length of the 'active' slot differs from the length of the object")
NULL
}
.valid.MaskCollection.names <- function(x)
{
if (S4Vectors:::anyMissing(names(x)))
return("the names must be non-NA strings")
NULL
}
.valid.MaskCollection.desc <- function(x)
{
if (!is.character(x@desc))
return("the 'desc' slot must contain a character vector")
if (is.null(desc(x)))
return(NULL)
if (S4Vectors:::anyMissing(desc(x)))
return("the descriptions must be non-NA strings")
if (length(desc(x)) != length(x))
return("number of descriptions and number of elements differ")
NULL
}
.valid.MaskCollection <- function(x)
{
## The 'width' slot needs to be checked separately and we must return
## if it's invalid. This is because .valid.MaskCollection.nir_list()
## won't work properly if 'x@width' is NA.
problems <- .valid.MaskCollection.width(x)
if (!is.null(problems))
return(problems)
c(.valid.MaskCollection.nir_list(x),
.valid.MaskCollection.active(x),
.valid.MaskCollection.names(x),
.valid.MaskCollection.desc(x))
}
setValidity2("MaskCollection", .valid.MaskCollection)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The safe and user-friendly "Mask" constructor.
###
Mask <- function(mask.width, start=NULL, end=NULL, width=NULL)
{
nir <- asNormalIRanges(IRanges(start=start, end=end, width=width), force=FALSE)
new2("MaskCollection", nir_list=list(nir),
width=S4Vectors:::numeric2integer(mask.width),
active=TRUE, check=FALSE)
}
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The "max" and "min" methods.
###
setMethod("max", "MaskCollection",
function(x, ..., na.rm)
{
if (length(x) == 0)
return(integer(0))
sapply(nir_list(x), max)
}
)
setMethod("min", "MaskCollection",
function(x, ..., na.rm)
{
if (length(x) == 0)
return(integer(0))
sapply(nir_list(x), min)
}
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The "maskedwidth" and "maskedratio" generics and methods.
###
setGeneric("maskedwidth", function(x) standardGeneric("maskedwidth"))
setMethod("maskedwidth", "MaskCollection",
function(x)
{
nir_list <- nir_list(x)
if (length(nir_list) == 0)
integer(0)
else
sapply(nir_list, function(nir) sum(width(nir)))
}
)
setGeneric("maskedratio", function(x) standardGeneric("maskedratio"))
setMethod("maskedratio", "MaskCollection", function(x) maskedwidth(x) / width(x))
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Subsetting.
###
setMethod("getListElement", "MaskCollection",
function(x, i, exact=TRUE)
{
i <- normalizeDoubleBracketSubscript(i, x, exact=exact)
nir_list(x)[[i]]
}
)
### Always behaves like an endomorphism (i.e. ignores the 'drop' argument and
### behaves like if it was actually set to FALSE).
setMethod("extractROWS", "MaskCollection",
function(x, i)
{
i <- normalizeSingleBracketSubscript(i, x, as.NSBS=TRUE)
if (anyDuplicated(i))
stop("subscript would generate duplicated elements")
slot(x, "nir_list", check=FALSE) <- extractROWS(nir_list(x), i)
slot(x, "active", check=FALSE) <- extractROWS(active(x), i)
if (!is.null(names(x)))
slot(x, "NAMES", check=FALSE) <- extractROWS(names(x), i)
if (!is.null(desc(x)))
slot(x, "desc", check=FALSE) <- extractROWS(desc(x), i)
mcols(x) <- extractROWS(mcols(x, use.names=FALSE), i)
x
}
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The "append" method.
###
### TODO: Be more consistent with "[" which doesn't allow subscripts with
### duplicated positive values in order to make it harder for the user to
### produce a MaskCollection object with duplicated names.
### The "append" method below makes this too easy (with append(x, x)).
###
.append.names.or.desc <- function(nm1, l1, nm2, l2, after)
{
if (is.null(nm1) && is.null(nm2))
return(as.character(NA))
if (is.null(nm1))
nm1 <- rep.int("", l1)
if (is.null(nm2))
nm2 <- rep.int("", l2)
append(nm1, nm2, after=after)
}
setMethod("append", c("MaskCollection", "MaskCollection"),
function(x, values, after=length(x))
{
if (width(values) != width(x))
stop("'x' and 'values' must have the same width")
if (!isSingleNumber(after))
stop("'after' must be a single number")
if (length(values) == 0)
return(x)
ans_nir_list <- append(nir_list(x), nir_list(values), after=after)
ans_active <- append(active(x), active(values), after=after)
l1 <- length(x)
l2 <- length(values)
ans_NAMES <- .append.names.or.desc(names(x), l1, names(values), l2, after)
ans_desc <- .append.names.or.desc(desc(x), l1, desc(values), l2, after)
## This transformation must be atomic.
x@nir_list <- ans_nir_list
x@active <- ans_active
x@NAMES <- ans_NAMES
x@desc <- ans_desc
x
}
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### collapse()
###
setGeneric("collapse", function(x) standardGeneric("collapse"))
### Always return a MaskCollection object of length 1 where the mask is active.
setMethod("collapse", "MaskCollection",
function(x)
{
keep_it <- active(x)
if (!all(keep_it))
x <- x[keep_it]
if (length(x) == 1)
return(x)
nir_list <- nir_list(x)
if (length(nir_list) == 0) {
nir1 <- new("NormalIRanges")
} else {
start1 <- unlist(lapply(nir_list, start))
width1 <- unlist(lapply(nir_list, width))
ranges <- new2("IRanges", start=start1, width=width1, check=FALSE)
nir1 <- asNormalIRanges(ranges, force=TRUE)
}
## This transformation must be atomic.
x@nir_list <- list(nir1)
x@active <- TRUE
x@NAMES <- as.character(NA)
x@desc <- as.character(NA)
x
}
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### Coercion.
###
### From a MaskCollection object to a NormalIRanges object.
setAs("MaskCollection", "NormalIRanges",
function(from) collapse(from)[[1L]]
)
### - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
### The "show" method.
###
MaskCollection.show_frame <- function(x)
{
lx <- length(x)
cat("masks:")
if (lx == 0) {
cat(" NONE\n")
} else {
cat("\n")
## Explictely specify 'row.names=NULL' otherwise data.frame() will
## try to use the names of the first component that has suitable
## names, which could be 'active(x)' (3rd component) if 'x' has names.
frame <- data.frame(maskedwidth=maskedwidth(x),
maskedratio=maskedratio(x),
active=active(x),
row.names=NULL,
check.names=FALSE)
frame$names <- names(x)
frame$desc <- desc(x)
show(frame)
if (lx >= 2) {
margin <- format("", width=nchar(as.character(lx)))
cat("all masks together:\n")
mask0 <- collapse(`active<-`(x, TRUE))
frame <- data.frame(maskedwidth=maskedwidth(mask0),
maskedratio=maskedratio(mask0),
check.names=FALSE)
row.names(frame) <- margin
show(frame)
if (sum(active(x)) < lx) {
cat("all active masks together:\n")
mask1 <- collapse(x)
frame <- data.frame(maskedwidth=maskedwidth(mask1),
maskedratio=maskedratio(mask1),
check.names=FALSE)
row.names(frame) <- margin
show(frame)
}
}
}
}
setMethod("show", "MaskCollection",
function(object)
{
lo <- length(object)
cat(class(object), " of length ", lo,
" and width ", width(object), "\n", sep="")
MaskCollection.show_frame(object)
}
)
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.