These are group generic methods for the class "imlist"
of lists of images. These methods
allows the usual mathematical functions and operators to be applied
directly to lists of images. See Details for a list of implemented functions.
## S3 methods for group generics have prototypes:
Math(x, ...)
Ops(e1, e2)
Complex(z)
Summary(..., na.rm = TRUE)
The result of "Math", "Ops" and "Complex" group
operations is another list of images.
The result of "Summary" group operations is a numeric vector of
length 1 or 2.
Lists of pixel images (objects of class "imlist").
further arguments passed to methods.
logical: should missing values be removed?
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
An object of class "imlist" represents a list of pixel images.
It is a list, whose entries are pixel images
(objects of class "im").
The following mathematical functions and operators are defined for lists of images.
Not all functions will make sense for all
types of images. For example, none of the functions in the "Math" group
make sense for character-valued images. Note that the "Ops"
group methods are implemented using eval.im, which tries
to harmonise images via harmonise.im if they aren't
compatible to begin with.
Group "Math":
abs, sign, sqrt,
floor, ceiling, trunc,
round, signif
exp, log, expm1, log1p,
cos, sin, tan,
cospi, sinpi, tanpi,
acos, asin, atan
cosh, sinh, tanh,
acosh, asinh, atanh
lgamma, gamma, digamma, trigamma
cumsum, cumprod, cummax, cummin
Group "Ops":
"+", "-", "*", "/",
"^", "%%", "%/%"
"&", "|", "!"
"==", "!=",
"<", "<=", ">=", ">"
Group "Summary":
all, any
sum, prod
min, max
range
Group "Complex":
Arg, Conj, Im, Mod, Re
For the binary operations in "Ops",
either
e1 and e2 are lists of pixel images,
and contain the same number of images.
one of e1,e2 is a list of pixel images,
and the other is a single atomic value.
Math.im or eval.im
for evaluating expressions involving images.
solapply for a wrapper for lapply.
a <- solist(A=setcov(square(1)), B=setcov(square(2)))
log(a)/2 - sqrt(a)
range(a)
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