sdsold {childsds} R Documentation

## Calculate SDS Values

### Description

Calculate SDS values - old version for comparison

### Usage

```sdsold(
value,
age,
sex,
item,
ref,
type = "SDS",
male = "male",
female = "female"
)
```

### Arguments

 `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

### Details

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.

### Value

vector containing SDS or percentile values

Mandy Vogel

### Examples

```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")
```

[Package childsds version 0.7.6 Index]