Math, Ops and Summary group generic methods for
quantities objects (see groupGeneric for a
comprehensive list of available methods).
Usage
# S3 method for quantities
Math(x, ...)
# S3 method for quantities
Ops(e1, e2)
# S3 method for quantities
Summary(..., na.rm = FALSE)Arguments
- x, e1, e2
objects.
- ...
further arguments passed to methods.
- na.rm
logical: should missing values be removed?
Details
See groupGeneric.errors,
Ops.units, Math.units, for further details.
Examples
x <- set_quantities(1:3, m/s, 0.1)
log(x)
#> Units: [(ln(re 1 m.s-1))]
#> Errors: 0.10000000 0.05000000 0.03333333
#> [1] 0.0000000 0.6931472 1.0986123
cumsum(x)
#> Units: [m/s]
#> Errors: 0.1000000 0.1414214 0.1732051
#> [1] 1 3 6
cumprod(x)
#> Warning: Operation cumprod not meaningful for units
#> Errors: 0.1000000 0.2236068 0.7000000
#> [1] 1 2 6
a <- set_quantities(1:3, m/s, 0.1)
b <- set_quantities(1:3, m/s, 0.1)
a + b
#> Units: [m/s]
#> Errors: 0.1414214 0.1414214 0.1414214
#> [1] 2 4 6
a * b
#> Units: [m^2/s^2]
#> Errors: 0.1414214 0.2828427 0.4242641
#> [1] 1 4 9
a / b
#> Units: [1]
#> Errors: 0.14142136 0.07071068 0.04714045
#> [1] 1 1 1
a = set_quantities(1:5, m, 0.1)
a %/% a
#> Units: [1]
#> Errors: 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 4.656613e-10
#> [1] 1 1 1 1 1
a %/% set_quantities(2)
#> Units: [m]
#> Errors: 0.55 0.05 0.55 0.05 0.55
#> [1] 0 1 2 2 2
set_quantities(1:5, m^2, 0.1) %/% set_quantities(2, m, 0.1)
#> Units: [m]
#> Errors: 0.55590170 0.07071068 0.59013878 0.11180340 0.63462912
#> [1] 0 1 2 2 2
a %% a
#> Units: [m]
#> Errors: 0.1414214 0.1414214 0.1414214 0.1414214 0.1414214
#> [1] 0 0 0 0 0
a %% set_quantities(2)
#> Units: [m]
#> Errors: 1.1045361 0.1414214 1.1045361 0.1414214 1.1045361
#> [1] 1 0 -1 0 1
c(min(x), max(x))
#> Units: [m/s]
#> [1] 0.9 3.1
range(x)
#> Units: [m/s]
#> [1] 0.9 3.1
sum(x)
#> 6.0(2) [m/s]