Quantiles Transformation

make.quantiles is a wrapper for quantile replacing the input with calculated values. Unmatched quantiles will return NA in order to match the length of the input vector.

make.quantiles(x, ..., as.factor = FALSE)

Arguments

x

The input vector

...

(dots_list): Additional arguments sent to quantile. Defaults are as follows:

• probs = seq(0, 1, 0.25)

• na.rm = FALSE

• names = TRUE

• type = 7

• digits = 7

• ...

as.factor

(logical) Should the output be returned as a factor?

Value

A quantile representation of the input

Note

Any indeterminate probabilities relative to the input will return NA

Examples

sample(900, 20) |> (\(x) data.frame(x = x, q = book.of.features::make.quantiles(x, seq(0, 1, .1), as.factor = TRUE)))()
#>      x    q
#> 1   83  20%
#> 2  252  40%
#> 3  686  90%
#> 4  142  40%
#> 5  796 100%
#> 6  596  80%
#> 7  661  90%
#> 8  838 100%
#> 9  127  30%
#> 10   7  10%
#> 11 135  30%
#> 12 506  70%
#> 13   6   0%
#> 14 389  50%
#> 15 524  70%
#> 16 264  50%
#> 17 395  60%
#> 18  32  20%
#> 19 400  60%
#> 20 587  80%
sample(900, 20) |> (\(x) data.frame(x = x, q = book.of.features::make.quantiles(x, seq(0, 1, .1), as.factor = FALSE)))()
#>      x     q
#> 1  866 873.0
#> 2  458 462.8
#> 3  139 179.9
#> 4    8   8.0
#> 5  722 736.4
#> 6  470 531.5
#> 7  374 413.5
#> 8  453 462.8
#> 9   79 130.6
#> 10 197 273.4
#> 11 668 693.8
#> 12 140 179.9
#> 13 473 531.5
#> 14 285 413.5
#> 15 687 693.8
#> 16  28  73.9
#> 17 721 736.4
#> 18  97 130.6
#> 19 873 873.0
#> 20 256 273.4