view-summarization-methods | R Documentation |
viewApply
applies a function on each view of a Views or
ViewsList object.
viewMins
, viewMaxs
, viewSums
, viewMeans
calculate respectively the minima, maxima, sums, and means of the views
in a Views or ViewsList object.
viewApply(X, FUN, ..., simplify = TRUE)
viewMins(x, na.rm=FALSE)
## S4 method for signature 'Views'
min(x, ..., na.rm = FALSE)
viewMaxs(x, na.rm=FALSE)
## S4 method for signature 'Views'
max(x, ..., na.rm = FALSE)
viewSums(x, na.rm=FALSE)
## S4 method for signature 'Views'
sum(x, ..., na.rm = FALSE)
viewMeans(x, na.rm=FALSE)
## S4 method for signature 'Views'
mean(x, ...)
viewWhichMins(x, na.rm=FALSE)
## S4 method for signature 'Views'
which.min(x)
viewWhichMaxs(x, na.rm=FALSE)
## S4 method for signature 'Views'
which.max(x)
viewRangeMins(x, na.rm=FALSE)
viewRangeMaxs(x, na.rm=FALSE)
X |
A Views object. |
FUN |
The function to be applied to each view in |
... |
Additional arguments to be passed on. |
simplify |
A logical value specifying whether or not the result should be simplified to a vector or matrix if possible. |
x |
An RleViews or RleViewsList object. |
na.rm |
Logical indicating whether or not to include missing values in the results. |
The viewMins
, viewMaxs
, viewSums
, and viewMeans
functions provide efficient methods for calculating the specified numeric
summary by performing the looping in compiled code.
The viewWhichMins
, viewWhichMaxs
, viewRangeMins
, and
viewRangeMaxs
functions provide efficient methods for finding the
locations of the minima and maxima.
For all the functions in this man page (except viewRangeMins
and
viewRangeMaxs
): A numeric vector of the length of x
if x
is an RleViews object, or a List object of
the length of x
if it's an RleViewsList object.
For viewRangeMins
and viewRangeMaxs
: An IRanges
object if x
is an RleViews object, or an IRangesList
object if it's an RleViewsList object.
For convenience, methods for min
, max
, sum
,
mean
, which.min
and which.max
are provided as
wrappers around the corresponding view*
functions (which might
be deprecated at some point).
P. Aboyoun
The slice
function for slicing an Rle or
RleList object.
view-summarization-methods in the XVector package for more view summarization methods.
The RleViews and RleViewsList classes.
The which.min
and colSums
functions.
## Views derived from coverage
x <- IRanges(start=c(1L, 9L, 4L, 1L, 5L, 10L),
width=c(5L, 6L, 3L, 4L, 3L, 3L))
cvg <- coverage(x)
cvg_views <- slice(cvg, lower=2)
viewApply(cvg_views, diff)
viewMins(cvg_views)
viewMaxs(cvg_views)
viewSums(cvg_views)
viewMeans(cvg_views)
viewWhichMins(cvg_views)
viewWhichMaxs(cvg_views)
viewRangeMins(cvg_views)
viewRangeMaxs(cvg_views)
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