[Experimental]

Constructs a numeric vector that can be formatted with predefined significant digits, or with a maximum or fixed number of digits after the decimal point. Scaling is supported, as well as forcing a decimal, scientific or engineering notation. If a label is given, it is shown in the header of a column.

The formatting is applied when the vector is printed or formatted, and also in a tibble column. The formatting annotation and the class survives most arithmetic transformations, the most notable exceptions are var() and sd().

set_num_opts() adds formatting options to an arbitrary numeric vector, useful for composing with other types.

num(
  x,
  ...,
  sigfig = NULL,
  digits = NULL,
  label = NULL,
  scale = NULL,
  notation = c("fit", "dec", "sci", "eng", "si"),
  fixed_exponent = NULL
)

set_num_opts(
  x,
  ...,
  sigfig = NULL,
  digits = NULL,
  label = NULL,
  scale = NULL,
  notation = c("fit", "dec", "sci", "eng", "si"),
  fixed_exponent = NULL
)

Arguments

x

A numeric vector.

...

These dots are for future extensions and must be empty.

sigfig

Define the number of significant digits to show. Must be one or greater. The "pillar.sigfig" option is not consulted. Can't be combined with digits.

digits

Number of digits after the decimal points to show. Positive numbers specify the exact number of digits to show. Negative numbers specify (after negation) the maximum number of digits to show. With digits = 2, the numbers 1.2 and 1.234 are printed as 1.20 and 1.23, with digits = -2 as 1.2 and 1.23, respectively. Can't be combined with sigfig.

label

A label to show instead of the type description.

scale

Multiplier to apply to the data before showing. Useful for displaying e.g. percentages. Must be combined with label.

notation

One of "fit", "dec", "sci", "eng", or "si".

  • "fit": Use decimal notation if it fits and if it consumes 13 digits or less, otherwise use scientific notation. (The default for numeric pillars.)

  • "dec": Use decimal notation, regardless of width.

  • "sci": Use scientific notation.

  • "eng": Use engineering notation, i.e. scientific notation using exponents that are a multiple of three.

  • "si": Use SI notation, prefixes between 1e-24 and 1e24 are supported.

fixed_exponent

Use the same fixed_exponent for all numbers in scientific, engineering or SI notation. -Inf uses the smallest, +Inf the largest fixed_exponent present in the data. The default is to use varying fixed_exponents.

See also

Other vector classes: char()

Examples

# Display as a vector num(9:11 * 100 + 0.5)
#> <pillar_num[3]> #> [1] 900. 1000. 1100.
# Significant figures tibble::tibble( x3 = num(9:11 * 100 + 0.5, sigfig = 3), x4 = num(9:11 * 100 + 0.5, sigfig = 4), x5 = num(9:11 * 100 + 0.5, sigfig = 5), )
#> # A tibble: 3 x 3 #> x3 x4 x5 #> <num:3> <num:4> <num:5> #> 1 900. 900.5 900.5 #> 2 1000. 1000. 1000.5 #> 3 1100. 1100. 1100.5
# Maximum digits after the decimal points tibble::tibble( x0 = num(9:11 * 100 + 0.5, digits = 0), x1 = num(9:11 * 100 + 0.5, digits = -1), x2 = num(9:11 * 100 + 0.5, digits = -2), )
#> # A tibble: 3 x 3 #> x0 x1 x2 #> <num:.0> <num:.1> <num:.2> #> 1 900. 900.5 900.5 #> 2 1000. 1000.5 1000.5 #> 3 1100. 1100.5 1100.5
# Use fixed digits and a currency label tibble::tibble( usd = num(9:11 * 100 + 0.5, digits = 2, label = "USD"), gbp = num(9:11 * 100 + 0.5, digits = 2, label = "£"), chf = num(9:11 * 100 + 0.5, digits = 2, label = "SFr") )
#> # A tibble: 3 x 3 #> usd gbp chf #> USD £ SFr #> 1 900.50 900.50 900.50 #> 2 1000.50 1000.50 1000.50 #> 3 1100.50 1100.50 1100.50
# Scale tibble::tibble( small = num(9:11 / 1000 + 0.00005, label = "%", scale = 100), medium = num(9:11 / 100 + 0.0005 , label = "%", scale = 100), large = num(9:11 / 10 + 0.005 , label = "%", scale = 100) )
#> # A tibble: 3 x 3 #> small medium large #> % % % #> 1 0.905 9.05 90.5 #> 2 1.00 10.0 100. #> 3 1.10 11.0 110.
# Notation tibble::tibble( sci = num(10^(-13:6), notation = "sci"), eng = num(10^(-13:6), notation = "eng"), si = num(10^(-13:6), notation = "si"), dec = num(10^(-13:6), notation = "dec") )
#> # A tibble: 20 x 4 #> sci eng si dec #> <sci> <eng> <si> <dec> #> 1 1e-13 100e-15 100f 0.0000000000001 #> 2 1e-12 1e-12 1p 0.000000000001 #> 3 1e-11 10e-12 10p 0.00000000001 #> 4 1e-10 100e-12 100p 0.0000000001 #> 5 1e- 9 1e- 9 1n 0.000000001 #> 6 1e- 8 10e- 9 10n 0.00000001 #> 7 1e- 7 100e- 9 100n 0.0000001 #> 8 1e- 6 1e- 6 1µ 0.000001 #> 9 1e- 5 10e- 6 10µ 0.00001 #> 10 1e- 4 100e- 6 100µ 0.0001 #> 11 1e- 3 1e- 3 1m 0.001 #> 12 1e- 2 10e- 3 10m 0.01 #> 13 1e- 1 100e- 3 100m 0.1 #> 14 1e+ 0 1e+ 0 1 1 #> 15 1e+ 1 10e+ 0 10 10 #> 16 1e+ 2 100e+ 0 100 100 #> 17 1e+ 3 1e+ 3 1k 1000 #> 18 1e+ 4 10e+ 3 10k 10000 #> 19 1e+ 5 100e+ 3 100k 100000 #> 20 1e+ 6 1e+ 6 1M 1000000
# Fixed exponent tibble::tibble( scimin = num(10^(-7:6) * 123, notation = "sci", fixed_exponent = -Inf), engmin = num(10^(-7:6) * 123, notation = "eng", fixed_exponent = -Inf), simin = num(10^(-7:6) * 123, notation = "si", fixed_exponent = -Inf) )
#> # A tibble: 14 x 3 #> scimin engmin simin #> <sci> <eng> <si> #> 1 1.23e-5 12.3e-6 12.3µ #> 2 12.3 e-5 123 e-6 123 µ #> 3 123 e-5 1230 e-6 1230 µ #> 4 1230 e-5 12300 e-6 12300 µ #> 5 12300 e-5 123000 e-6 123000 µ #> 6 123000 e-5 1230000 e-6 1230000 µ #> 7 1230000 e-5 12300000 e-6 12300000 µ #> 8 12300000 e-5 123000000 e-6 123000000 µ #> 9 123000000 e-5 1230000000 e-6 1230000000 µ #> 10 1230000000 e-5 12300000000 e-6 12300000000 µ #> 11 12300000000 e-5 123000000000 e-6 123000000000 µ #> 12 123000000000 e-5 1230000000000 e-6 1230000000000 µ #> 13 1230000000000 e-5 12300000000000 e-6 12300000000000 µ #> 14 12300000000000 e-5 123000000000000 e-6 123000000000000 µ
tibble::tibble( scismall = num(10^(-7:6) * 123, notation = "sci", fixed_exponent = -3), scilarge = num(10^(-7:6) * 123, notation = "sci", fixed_exponent = 3), scimax = num(10^(-7:6) * 123, notation = "sci", fixed_exponent = Inf) )
#> # A tibble: 14 x 3 #> scismall scilarge scimax #> <sci> <sci> <sci> #> 1 0.0123e-3 0.0000000123e3 0.000000000000123e8 #> 2 0.123 e-3 0.000000123 e3 0.00000000000123 e8 #> 3 1.23 e-3 0.00000123 e3 0.0000000000123 e8 #> 4 12.3 e-3 0.0000123 e3 0.000000000123 e8 #> 5 123 e-3 0.000123 e3 0.00000000123 e8 #> 6 1230 e-3 0.00123 e3 0.0000000123 e8 #> 7 12300 e-3 0.0123 e3 0.000000123 e8 #> 8 123000 e-3 0.123 e3 0.00000123 e8 #> 9 1230000 e-3 1.23 e3 0.0000123 e8 #> 10 12300000 e-3 12.3 e3 0.000123 e8 #> 11 123000000 e-3 123 e3 0.00123 e8 #> 12 1230000000 e-3 1230 e3 0.0123 e8 #> 13 12300000000 e-3 12300 e3 0.123 e8 #> 14 123000000000 e-3 123000 e3 1.23 e8