weight_for_age {pedbp}

Weight for Age - Pediatric Growth Standard

Description

Weight for age quantile, distribution, and zscore function based on LMS data from the CDC and WHO.

Usage

p_weight_for_age(
  q,
  male,
  age,
  source = getOption("pedbp_pgs_source", "CDC"),
  ...
)

q_weight_for_age(
  p,
  male,
  age,
  source = getOption("pedbp_pgs_source", "CDC"),
  ...
)

z_weight_for_age(
  q,
  male,
  age,
  source = getOption("pedbp_pgs_source", "CDC"),
  ...
)

Arguments

q

a vector of quantiles

male

integer value, 1 = male, 0 = female

age

numeric age, in months

source

a character string denoting the data source providing the parameters needed for the estimate. Valid values are "CDC" and "WHO". This can be set explicitly, or by using the pedbp_pgs_source option.

...

pass through

p

a vector of probabilities

Value

p_ method return values from the estimated distribution function.

q_ methods return values from the estimated quantile function.

z_ methods return standard scores.

Notes

CDC Recommends using WHO growth charts for infants and children ages 0 to 2 years of age in the U.S. and CDC growth charts to monitor growth for children age 2 years and older in the U.S.

References

https://www.cdc.gov/growthcharts/percentile_data_files.htm, https://www.who.int/tools/child-growth-standards/standards

See Also

• Distribution functions:

  • bmi_for_age

  • head_circumference_for_age

  • height_for_age

  • length_for_age

  • weight_for_age

  • weight_for_length

  • weight_for_height

• Plotting functions:

  • gs_chart

  • gs_cdf

• Vignette:

  • vignette(topic = "growth-standards", package = "pedbp")

Examples

# find the 80th quantile for 56 month old females;
# note - slight difference between CDC and WHO.
q_weight_for_age(p = 0.80, age = 56, male = 0, source = c("CDC", "WHO"))

# the percentiles for 42 kg 13 year old males:
p_weight_for_age(q = 42, age = 13 * 12, male = 0, source = "CDC")
p_weight_for_age(q = 42, age = 13 * 12, male = 0, source = "WHO")

z_weight_for_age(q = 42, age = 13 * 12, male = 0, source = "CDC")
z_weight_for_age(q = 42, age = 13 * 12, male = 0, source = "WHO")