# Generate Body Mass Index z-scores for age and percentiles for children/adolescents given their age, sex, and bmi values. Generates Body Mass Index (BMI) for age z-scores and percentiles based on LMS method for children and adolescents aged 0 to 19 years. ```r bmizs( Datafm, age_range = "0-24", digits.zscore = 2, digits.perc = 2, Notes = FALSE ) ``` ## Arguments - `Datafm`: A DataFrame with variables age (in months), sex (1, 2 or "Male", "Female"), bmi (numeric: in kilograms per meter squared (kg/m^2)). - `age_range`: age range in months. Input has to be characters. It allows "0-24" by default. Other inputs allowed are "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. ## Returns A DataFrame with BMI z scores for age and percentiles. ## Examples ```r ## Example 1: for younger age range = "0-24" months ## No need to specify age_range ## creating a hypothetical dataset dat1 <- data.frame(age = c(5, 6, 12, 12, 18, 18, 23, 23), sex = c(1, 2, 1, 2, 1, 2, 1, 2), bmi = c(17.3, 18.6, 18.2, 12.7, 20.8, 20.8, 13.6, 18.4)) ans1 <- bmizs(Datafm = dat1) ans1 <- bmizs(Datafm = dat1, Notes = TRUE) # Will also print notes # ans1 ## Example 2: specify age range = "24-60" months ## creating a hypothetical dataset dat2 <- data.frame(age = c(25, 36, 48, 60), sex = 2, bmi = c(15.7, 16.8, 20.6, 12.7)) ans2 <- bmizs(Datafm = dat2, age_range = "24-60") # ans2 ## Example 3: specify age range = "61-228" months ## creating a hypothetical dataset dat3 <- data.frame(age = c(61, 73, 181, 217), sex = 1, bmi = c(12.1, 14.1, 27.1, 35.4)) ans3 <- bmizs(Datafm = dat3, age_range = "61-228") # ans3 ``` ## References ## See Also `indivmuaczs`, `muaczs`, `muacz.bmiz`, `plotmuac` and `plotbmi`.

bmizs function