cut_interval makes n groups with equal range, cut_number
makes n groups with (approximately) equal numbers of observations;
cut_width makes groups of width width.
Usage
cut_interval(x, n = NULL, length = NULL, ...)
cut_number(x, n = NULL, ...)
cut_width(
x,
width,
center = NULL,
boundary = NULL,
closed = c("right", "left")
)Arguments
- x
numeric vector
- n
number of intervals to create, OR
- length
length of each interval
- ...
other arguments passed on to
cut- width
The bin width.
- center, boundary
Specify either the position of edge or the center of a bin. Since all bins are aligned, specifying the position of a single bin (which doesn't need to be in the range of the data) affects the location of all bins. If not specified, uses the "tile layers algorithm", and sets the boundary to half of the binwidth.
To center on integers,
width = 1andcenter = 0.boundary = 0.5.- closed
One of
"right"or"left"indicating whether right or left edges of bins are included in the bin.
Examples
table(cut_interval(1:100, 10))
#>
#> [1,10.9] (10.9,20.8] (20.8,30.7] (30.7,40.6] (40.6,50.5] (50.5,60.4]
#> 10 10 10 10 10 10
#> (60.4,70.3] (70.3,80.2] (80.2,90.1] (90.1,100]
#> 10 10 10 10
table(cut_interval(1:100, 11))
#>
#> [1,10] (10,19] (19,28] (28,37] (37,46] (46,55] (55,64] (64,73]
#> 10 9 9 9 9 9 9 9
#> (73,82] (82,91] (91,100]
#> 9 9 9
table(cut_number(runif(1000), 10))
#>
#> [0.000382,0.0947] (0.0947,0.181] (0.181,0.302] (0.302,0.407]
#> 100 100 100 100
#> (0.407,0.498] (0.498,0.604] (0.604,0.728] (0.728,0.814]
#> 100 100 100 100
#> (0.814,0.9] (0.9,1]
#> 100 100
table(cut_width(runif(1000), 0.1))
#>
#> [-0.05,0.05] (0.05,0.15] (0.15,0.25] (0.25,0.35] (0.35,0.45] (0.45,0.55]
#> 48 110 98 96 110 99
#> (0.55,0.65] (0.65,0.75] (0.75,0.85] (0.85,0.95] (0.95,1.05]
#> 100 90 111 93 45
table(cut_width(runif(1000), 0.1, boundary = 0))
#>
#> [0,0.1] (0.1,0.2] (0.2,0.3] (0.3,0.4] (0.4,0.5] (0.5,0.6] (0.6,0.7] (0.7,0.8]
#> 89 110 102 92 103 97 101 112
#> (0.8,0.9] (0.9,1]
#> 88 106
table(cut_width(runif(1000), 0.1, center = 0))
#>
#> [-0.05,0.05] (0.05,0.15] (0.15,0.25] (0.25,0.35] (0.35,0.45] (0.45,0.55]
#> 48 95 113 117 92 90
#> (0.55,0.65] (0.65,0.75] (0.75,0.85] (0.85,0.95] (0.95,1.05]
#> 97 108 107 83 50