Description Usage Arguments Value References See Also Examples
Generates MUAC z-Scores and percentiles for individual subjects by entering their age (in months), sex and muac (in cm) directly. This is useful for children and adolescents aged 3 months to 19 years and to assess their nutritional and health status, and define risk of adverse health events.
1 2 3 4 5 6 7 8 9 | indivmuaczs(
age = 60,
sex = 1,
muac = 10,
age_range = "3-60",
digits.zscore = 2,
digits.perc = 2,
Notes = FALSE
)
|
age |
a numeric value (in months) between 3 and 228 depending on the age_range. |
sex |
preferably numeric (1 = Male, 2 = Female). Strings can also be used. |
muac |
a numeric mid upper arm circumference value in cm. |
age_range |
age range in months. Input has to be characters. Options allowed are: "3-60" the default, or "60-228". |
digits.zscore |
The number of digits for z-score variable |
digits.perc |
The number of digits for percentile variable |
Notes |
Is FALSE by default. If set to TRUE, 'notes' will be printed on the console about the nature, range of variables allowed and number of records processed. |
A DataFrame with MUAC z-scores and percentiles.
Mramba L., Ngari M., Mwangome M., Muchai L., Bauni E., Walker A.S., Gibb D.M., Fegan G. and Berkley J.A. (2017) A growth reference for mid upper arm circumference for age among school age children and adolescents, and validation for mortality: growth curve construction and longitudinal cohort study BMJ 2017;358:j3423 <doi:10.1136/bmj.j3423>
<https://www.bmj.com/content/358/bmj.j3423>
<https://www.bmj.com/content/358/bmj.j3423/related#datasupp>
<https://www.who.int/childgrowth/standards/Technical_report.pdf>
<https://www.who.int/childgrowth/standards/ac_for_age/en/>
muaczs
, bmizs
, muacz.bmiz
, plotmuac
and plotbmi
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | test0 <- indivmuaczs(age = 70, sex = "Female", muac = 15.8,
age_range = "60-228")
# test0
test1 <- indivmuaczs(age = c(4, 40, 60), sex = "Male",
muac = c(17.2, 17.2, 19.8), age_range = "3-60")
# test1
test2 <- indivmuaczs(age = c(4, 40, 60), sex = 2,
muac = c(14.9, 17.7, 19))
# test2
res2 <- indivmuaczs(age = 70, sex = c(1, 1, 2, 2, 2, 1),
muac = c(23.1, 15.2, 18.4, 13.9, 19.5, 14.6),
age_range = "60-228")
# res2
|
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