Handle Uncertainty on a Numeric Vector

Set or retrieve uncertainty to/from numeric vectors.

Usage

errors(x)

errors_max(x)

errors_min(x)

errors(x) <- value

set_errors(x, value = 0)

as.errors(x, value = 0)

Arguments

x

a numeric object, or object of class errors.

value

a numeric vector of length 1 or the same length as x.

Value

errors returns a vector of uncertainty. errors_max

(errors_min) returns the values plus (minus) the uncertainty.

Details

`errors<-` sets the uncertainty values (and converts x into an object of class errors). set_errors is a pipe-friendly version of `errors<-` and returns an object of class errors. as.errors is an alias for set_errors.

See correl on how to handle correlations between pairs of variables.

See also

groupGeneric.errors, mean.errors, Extract.errors, c, rep, cbind.errors, format.errors, print.errors, plot.errors, as.data.frame.errors, as.matrix.errors, t.

Examples

x = 1:3
class(x)
#> [1] "integer"
x
#> [1] 1 2 3
errors(x) <- 0.1
class(x)
#> [1] "errors"
x
#> Errors: 0.1 0.1 0.1
#> [1] 1 2 3

(x <- set_errors(x, seq(0.1, 0.3, 0.1)))
#> Errors: 0.1 0.2 0.3
#> [1] 1 2 3
errors_max(x)
#> [1] 1.1 2.2 3.3
errors_min(x)
#> [1] 0.9 1.8 2.7