Package 'svFast'

Logarithm (Fast Parallel Version)

Description

Fast version of logarithmic and exponential functions (when vector size >= 50000). log_() computes the natural logarithm of x (base e by default), log2_() computes the base 2 logarithm, log10_() computes the base 10. log1p_() computes log(1 + x) accurately even for small x.

exp_() computes the exponential function. expm1_() computes exp(x) - 1 accurately even for small x.

Usage

log10_(x, para = 50000L)

log2_(x, para = 50000L)

log1p_(x, para = 50000L)

exp_(x, para = 50000L)

expm1_(x, para = 50000L)

log_(x, base = 2.71828182845905, para = 50000L)

Arguments

x	vector of numeric values
para	the minimum length of x to use parallel computation (50000 by default)
base	the base of the logarithm (e = exp(1) by default)

Details

They are not generic functions and do not process factor, Date, POSIXt, difftime, complex, or S4 objects (use base R equivalent function instead). Data frames are processed column-wise, providing each column is compatible. All attributes are preserved.

Value

A numeric vector, matrix, or data frame with the transformed values.

See Also

log10(), log2(), log(), log1p(), exp(), expm1()

Examples

log_(1:5)
log_(1:5, base = 2.5)

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Rounding of Numbers (Fast Parallel Version)

Description

Fast version of rounding (when vector size >= 50000). ceiling_() takes a single numeric argument x and returns a numeric vector containing the smallest integers not less than the corresponding elements of x. It is similar to ceiling().

floor_() takes a single numeric argument x and returns a numeric vector containing the largest integers not greater than the corresponding elements of x. It is similar to floor().

trunc_() takes a single numeric argument x and returns a numeric vector containing the integers formed by truncating the values in x toward 0. It is similar to trunc().

round_() rounds the values in its first argument to the specified number of decimal places (default 0). See 'Details' about "round to even" in round() when rounding off a 5.

signif_() rounds the values in its first argument to the specified number of significant digits.

Usage

ceiling_(x, para = 50000L)

floor_(x, para = 50000L)

trunc_(x, para = 50000L)

round_(x, digits = 0L, para = 50000L)

signif_(x, digits = 6L, para = 50000L)

Arguments

x	vector of numeric values
para	the minimum length of x to use parallel computation (50000 by default)
digits	integer indication the number of decimal places (round_()) or significant digits (signif_()) to be used. For round_(), negative values are allowed and indicate rounding to a power of ten (-2 means rounding to the nearest hundred), see round().

Details

They are not generic functions and do not process factor, Date, POSIXt, difftime, complex, or S4 objects (use base R equivalent function instead). Data frames are processed column-wise, providing each column is compatible. All attributes are preserved.

Value

A numeric vector, matrix, or data frame with the transformed values.

See Also

ceiling(), floor(), trunc()

round(), signif()

Examples

floor_(c(1.23, 4.56, -7.89))

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Trigonometric Functions (Fast Parallel Version)

Description

Fast version of trigonometric functions (when vector size >= 50000). They respectively compute the cosine, sine, tangent, arc-cosine, arc-sine, arc-tangent, and the two-argument arc-tangent.

cospi_(x), sinpi_(x), and tanpi_(x), compute cos(pi*x), sin(pi*x), and tan(pi*x).

Usage

cos_(x, para = 50000L)

sin_(x, para = 50000L)

tan_(x, para = 50000L)

acos_(x, para = 50000L)

asin_(x, para = 50000L)

atan_(x, para = 50000L)

cospi_(x, para = 50000L)

sinpi_(x, para = 50000L)

tanpi_(x, para = 50000L)

Arguments

x	vector of numeric values
para	the minimum length of x to use parallel computation (50000 by default)

Details

They are not generic functions and do not process factor, Date, POSIXt, difftime, complex, or S4 objects (use base R equivalent function instead). Data frames are processed column-wise, providing each column is compatible. All attributes are preserved.

Value

A numeric vector, matrix, or data frame with the transformed values.

See Also

cos(), sin(), tan(), acos(), asin(), atan(), atan2()

Examples

cos_(1:5)

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