addWGSR: Add the WHO Growth Reference z-scores to a data frame of...
In zscorer: Child Anthropometry z-Score Calculator

Description Usage Arguments Value Examples

Add the WHO Growth Reference z-scores to a data frame of anthropometric data for weight, height or length, MUAC, head circumference, sub-scapular skinfold and triceps skinfold.

1 2	addWGSR(data, sex, firstPart, secondPart, thirdPart = NA, index = NA, standing = NULL, output = paste(index, "z", sep = ""), digits = 2)

`data`	A survey dataset as a data.frame object
`sex`	Name of variable specifying the sex of the subject. This must be coded as `1 = male` and `2 = female`. Give a quoted variable name as in (e.g.) `"sex"`.
`firstPart`	Name of variable specifying: Weight (kg) for BMI/A, W/A, W/H, or W/L Head circumference (cm) for HC/A Height (cm) for BMI/A for H/A Length (cm) for L/A MUAC (cm) for MUAC/A Sub-scapular skinfold (mm) for SSF/A Triceps skinfold (mm) for TSF/A Give a quoted variable name as in (e.g.) `"weight"`. Be careful with units (weight in kg; height, length, head circumference, and MUAC in cm, skinfolds in mm).
`secondPart`	Name of variable specifying: Age (days) for H/A, HC/A, L/A, MUAC/A, SSF/A, or TSF/A Height (cm) BMI/A or W/H Length (cm) for W/L Give a quoted variable name as in (e.g.) `"age"`. Be careful with units (age in days; height and length in cm).
`thirdPart`	Name of variable specifying age (in days) for BMI/A. Give a quoted variable name as in (e.g.) `"age"`. Be careful with units (age in days).
`index`	The index to be calculated and added to `data`. One of: `bfa` BMI for age `hca` Head circumference for age `hfa` Height for age `lfa` Length for age `mfa` MUAC for age `ssa` Sub-scapular skinfold for age `tsa` Triceps skinfold for age `wfa` Weight for age `wfh` Weight for height `wfl` Weight for length Give a quoted index name as in (e.g.) `"wfh"`.
`standing`	Variable specifying how stature was measured. If NULL then age (for `"hfa"` or `"lfa"`) or height rules (for `"wfh"` or `"wfl"`) will be applied. This must be coded as `1 = Standing`; `2 = Supine`; `3 = Unknown`. All other values will be recoded to `3 = Unknown`. Give a quoted variable name as in (e.g.) `"measured"` or a single value (e.g.`"measured = 1"`). If no value (or NULL) is specified then height and age rules will be applied.
`output`	The name of the column containing the specified index to be added to the dataset. This is an optional parameter. If you do not specify a value for output then the added column will take the name of the specified index with a `"z"` appended.
`digits`	The number of decimal places for `output`. Defaults to 2 d.p.

A data.frame of the survey dataset with the calculated z-scores added.

# Calculate weight-for-height (wfh) for the anthro3 dataset
addWGSR(data = anthro3,
        sex = "sex",
        firstPart = "weight",
        secondPart = "height",
        index = "wfh")

# Calculate weight-for-age (wfa) for the anthro3 dataset
addWGSR(data = anthro3,
        sex = "sex",
        firstPart = "weight",
        secondPart = "age",
        index = "wfa")

# Calculate height-for-age (hfa) for the anthro3 dataset
addWGSR(data = anthro3,
        sex = "sex",
        firstPart = "height",
        secondPart = "age",
        index = "hfa")

# Calculate MUAC-for-age (mfa) for the anthro4 dataset

## Convert age in anthro4 from months to days
testData <- anthro4
testData$age <- testData$agemons * (365.25 / 12)

addWGSR(data = testData,
        sex = "sex",
        firstPart = "muac",
        secondPart = "age",
        index = "mfa")