View source: R/sparse3Darray.R
| Math.sparse3Darray | R Documentation |
Group generic methods which make it possible to
apply the familiar mathematical operators and functions
to sparse three-dimensional arrays (objects of class
"sparse3Darray").
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=FALSE)
x, z, e1, e2 |
Sparse three-dimensional arrays (objects of class
|
... |
further arguments passed to methods. |
na.rm |
Logical value specifying whether missing values should be removed. |
These group generics make it possible to perform element-wise arithmetic and logical operations with sparse three-dimensional arrays, or apply mathematical functions element-wise, or compute standard summaries such as the mean and maximum.
Below is a list of mathematical functions and operators which are defined for sparse 3D arrays.
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
The result of group "Math" functions is another
three-dimensional array of the same dimensions as x,
which is sparse if the function maps 0 to 0, and otherwise is a
full three-dimensional array.
The result of group "Ops" operators is
another three-dimensional array of the same dimensions as
e1 and e2, which is sparse if both e1 and
e2 are sparse.
The result of group "Complex" functions is
another sparse three-dimensional array of the same dimensions as
z.
The result of group "Summary" functions is
a logical value or a numeric value or a numeric vector of length 2.
.
sparse3Darray,
tensorSparse
M <- sparse3Darray(i=1:4, j=sample(1:4, replace=TRUE),
k=c(1,2,1,2), x=1:4, dims=c(5,5,2))
negM <- -M
twoM <- M + M
Mplus <- M + 1 ## not sparse!
posM <- (M > 0)
range(M)
sinM <- sin(M)
cosM <- cos(M) ## not sparse!
expM1 <- expm1(M)
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