Description Usage Arguments Value References See Also Examples
Generates both MUAC and BMI z-scores for age z-scores and percentiles based on LMS method for children and adolescents aged 3 months to 19 years olds.
1 2 3 4 5 6 7 8 | muacz.bmiz(
Datafm,
age_range.muac = "60-228",
age_range.bmi = "61-228",
digits.zscore = 2,
digits.perc = 2,
Notes = FALSE
)
|
Datafm |
A DataFrame with variables including, age (in months), sex (1, 2 or "Male", "Female"), muac (numeric: in cm). |
age_range.muac |
MUAC age range in months: This can be "3-60" or "60-228". |
age_range.bmi |
BMI age range in months: This can be "0-24", "24-60" or "61-228". |
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 and BMI z-scores and their 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/bmi_for_age/en/>
<https://www.who.int/growthref/who2007_bmi_for_age/en/>
<https://www.who.int/childgrowth/standards/Technical_report.pdf>
<https://www.who.int/childgrowth/standards/ac_for_age/en/>
indivmuaczs
, muaczs
, bmizs
, plotmuac
and plotbmi
.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Example 1
## creating a hypothetical dataset
dat1 <- data.frame(age = c(61, 73, 181, 217), sex = 1,
muac = c(13.0, 15.7, 34.1, 43.9),
bmi = c(12.1, 14.1, 27.1, 35.4))
ans1 <- muacz.bmiz(Datafm = dat1, age_range.muac = "60-228",
age_range.bmi = "61-228")
# ans1
## Example 1
## creating a hypothetical dataset
dat2 <- data.frame(age = c(25, 36, 48, 60),
sex = 2,
muac = c(15, 17, 21.3, 14),
bmi = c(15.7, 16.8, 20.6, 12.7))
ans2 <- muacz.bmiz(Datafm = dat2, age_range.muac = "3-60",
age_range.bmi = "24-60")
# ans2
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.