group_bmi {microbiome} | R Documentation

## Body-Mass Index (BMI) Classes

### Description

Cut BMI information to standard discrete factors.

### Usage

    group_bmi(x, breaks = "standard", n = 10, labels = NULL,
      include.lowest = TRUE, right = FALSE, dig.lab = 3,
      ordered_result = FALSE)

### Arguments

`x` | Numeric vector (BMI)
`breaks` | Class break points. Either a vector of breakpoints, or one of the predefined options ("standard", "standard_truncated", "even").
`n` | Number of groups for the breaks = "even" option.
`labels` | labels for the levels of the resulting category. By default, labels are constructed using `"(a,b]"` interval notation. If `labels = FALSE`, simple integer codes are returned instead of a factor.
`include.lowest` | logical, indicating if an ‘x[i]’ equal to the lowest (or highest, for `right = FALSE`) ‘breaks’ value should be included.
`right` | logical, indicating if the intervals should be closed on the right (and open on the left) or vice versa.
`dig.lab` | integer which is used when labels are not given. It determines the number of digits used in formatting the break numbers.
`ordered_result` | logical: should the result be an ordered factor?

### Details

Regarding the breaks arguments, the "even" option aims to cut the samples in groups with approximately the same size (by quantiles). The "standard" option corresponds to standard obesity categories defined by the cutoffs <18.5 (underweight); <25 (lean); <30 (obese); <35 (severe obese); <40 (morbid obese); <45 (super obese). The standard_truncated combines the severe, morbid and super obese into a single group.

### Value

Factor of BMI groups.

### Author(s)

Contact: Leo Lahti microbiome-admin@googlegroups.com

### References

See citation('microbiome')

### See Also

base::cut

### Examples

    bmi.numeric <- range(rnorm(100, mean = 25, sd = 3))
    bmi.factor <- group_bmi(bmi.numeric)

[Package microbiome version 1.8.0 Index]