Determines what should absolutely be reincluded or definitely excluded
for a given dataset, already run through cleangrowth.
acf_answers(
subjid,
param,
agedays,
sex,
measurement,
orig.exclude,
sd.recenter = NA,
ewma.exp = -1.5,
ref.data.path = "",
quietly = TRUE
)Vector of unique identifiers for each subject in the database.
Vector identifying each measurement, may be 'WEIGHTKG', 'HEIGHTCM', or 'LENGTHCM' 'HEIGHTCM' vs. 'LENGTHCM' only affects z-score calculations between ages 24 to 35 months (730 to 1095 days). All linear measurements below 731 days of life (age 0-23 months) are interpreted as supine length, and all linear measurements above 1095 days of life (age 36+ months) are interpreted as standing height. Note: at the moment, all LENGTHCM will be converted to HEIGHTCM. In the future, the algorithm will be updated to consider this difference.
Numeric vector containing the age in days at each measurement.
Vector identifying the gender of the subject, may be 'M', 'm', or 0 for males, vs. 'F', 'f' or 1 for females.
Numeric vector containing the actual measurement data. Weight must be in kilograms (kg), and linear measurements (height vs. length) in centimeters (cm).
Vector of exclusion assessment results from cleangrowth()
Data frame or table with median SD-scores per day of life
Exponent to use for weighting measurements in the exponentially weighted moving average calculations. Defaults to -1.5. This exponent should be negative in order to weight growth measurements closer to the measurement being evaluated more strongly. Exponents that are further from zero (e.g. -3) will increase the relative influence of measurements close in time to the measurement being evaluated compared to using the default exponent.
Path to reference data. If not supplied, the year 2000 Centers for Disease Control (CDC) reference data will be used.
Determines if function messages are to be displayed and if log files (parallel only) are to be generated. Defaults to TRUE.
A data frame, containing an index "n" of rows, corresponding to the original order of the input vectors, and "acf_answers", containing the answers on whether a height value should be kept or excluded (returns "Definitely Exclude", "Definitely Include", or "Unknown" for height values, NA for weight values).