functions | R Documentation |
This is a list of functions (mostly from base R) that are currently implemented to transform greta arrays. Also see operators and transforms.
TensorFlow only enables rounding to integers, so round()
will
error if digits
is set to anything other than 0
.
Any additional arguments to chol()
, chol2inv
, solve()
, and log()
will be ignored, see the TensorFlow documentation for details of these
routines.
sweep()
only works on two-dimensional greta arrays (so MARGIN
can only be either 1 or 2), and only for subtraction, addition, division
and multiplication.
tapply()
works on column vectors (2D greta arrays with one column),
and INDEX
cannot be a greta array. Currently five functions are
available, and arguments passed to ... are ignored.
cospi()
, sinpi()
, and tanpi()
do not use the
computationally more stable routines to compute cos(x * pi)
etc.
that are available in R under some operating systems. Similarly
trigamma()
uses TensorFlow's polygamma function, resulting in lower
precision than R's equivalent.
# logarithms and exponentials log(x) exp(x) log1p(x) expm1(x) # miscellaneous mathematics abs(x) mean(x) sqrt(x) sign(x) # rounding of numbers ceiling(x) floor(x) round(x, digits = 0) # trigonometry cos(x) sin(x) tan(x) acos(x) asin(x) atan(x) cosh(x) sinh(x) tanh(x) acosh(x) asinh(x) atanh(x) cospi(x) sinpi(x) tanpi(x) # special mathematical functions lgamma(x) digamma(x) trigamma(x) choose(n, k) lchoose(n, k) # matrix operations t(x) chol(x, ...) chol2inv(x, ...) cov2cor(V) solve(a, b, ...) kronecker(X, Y, FUN = c('*', '/', '+', '-')) # reducing operations sum(..., na.rm = TRUE) prod(..., na.rm = TRUE) min(..., na.rm = TRUE) max(..., na.rm = TRUE) # cumulative operations cumsum(x) cumprod(x) cummax(x) cummin(x) # solve an upper or lower triangular system backsolve(r, x, k = ncol(r), upper.tri = TRUE, transpose = FALSE) forwardsolve(l, x, k = ncol(l), upper.tri = FALSE, transpose = FALSE) # miscellaneous operations aperm(x, perm) apply(x, MARGIN, FUN = c("sum", "max", "mean", "min", "prod", "cumsum", "cumprod")) sweep(x, MARGIN, STATS, FUN = c('-', '+', '/', '*')) tapply(X, INDEX, FUN = c("sum", "max", "mean", "min", "prod"), ...)
## Not run:
x <- as_data(matrix(1:9, nrow = 3, ncol = 3))
a <- log(exp(x))
b <- log1p(expm1(x))
c <- sign(x - 5)
d <- abs(x - 5)
z <- t(a)
y <- sweep(x, 1, e, "-")
## End(Not run)
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