sds | R Documentation |
Calculate SDS values
sds(value, age, sex, item, ref, type = "SDS", male = "male", female = "female")
value |
vector of measurement values |
age |
vector of age values |
sex |
vector of sex |
item |
name of the item e.g. "height" |
ref |
RefGroup object |
type |
"SDS" or "perc" |
male |
coding of sex for male |
female |
coding of sex for female |
The function takes a vector of measurement values, and of age and of sex and a RefGroup object as arguments. It calculates the sds or percentile values.
vector containing SDS or percentile values
Mandy Vogel
anthro <- data.frame(age = c(11.61,12.49,9.5,10.42,8.42,10.75,9.57,10.48), height = c(148.2,154.4,141.6,145.3,146,140.9,145.5,150), sex = sample(c("male","female"), size = 8, replace = TRUE), weight = c(69.5,72.65,47.3,51.6,45.6,48.9,53.5,58.5)) anthro$height_sds <- sds(anthro$height, age = anthro$age, sex = anthro$sex, male = "male", female = "female", ref = kro.ref, item = "height", type = "SDS") anthro$bmi <- anthro$weight/(anthro$height**2) * 10000 anthro$bmi_perc <- sds(anthro$bmi, age = anthro$age, sex = anthro$sex, male = "male", female = "female", ref = kro.ref, item = "bmi", type = "perc") data(who.ref) x <- data.frame(height=c(50,100,60,54), sex=c("m","f","f","m"), age=c(0,2.9,0.6,0.2)) sds(value = x$height, age = x$age, sex = x$sex, male = "m", female = "f", ref = who.ref, item = "height")
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