separate numeric x into bins

Usage

hist_bins(x, bins = 10, lim = c(min(x), max(x)), breaks = NULL, sort = FALSE)

Arguments

x: numeric vector
bins: bins number, defaults to 10
lim: the min and max limits of bins, default as c(min(x), max(x))
breaks: assign breaks directly and will ignore bins and lim
sort: sort the result tibble

Value

tibble

Examples


x <- dplyr::pull(mini_diamond, price, id)

hist_bins(x, bins = 20)
#> # A tibble: 100 × 5
#>    id    value  start    end   bin
#>    <chr> <int>  <dbl>  <dbl> <int>
#>  1 id-1   3027  2218.  3097.     3
#>  2 id-2  11746 11000. 11879.    13
#>  3 id-3   2029  1340.  2218.     2
#>  4 id-4   9452  9244  10122.    11
#>  5 id-5   2498  2218.  3097.     3
#>  6 id-6  14080 13635  14513.    16
#>  7 id-7    752   462   1340.     1
#>  8 id-8   1029   462   1340.     1
#>  9 id-9   5590  4853   5731.     6
#> 10 id-10  1691  1340.  2218.     2
#> # ℹ 90 more rows