lmszscore: Calculate z scores

In florihalbeisen/lmszscore: Calculating z scores using LMS values

Description

Calculate z scores using LMS values

Usage

lmszscore(mydf, sexcat = 0, sex = "sex", age = "age", var = "bmi",
  lmsref)

Arguments

mydf	data frame. The data frame needs to have data on age, sex and BMI or height
sexcat	coding of sex for male
sex	column name of sex column e.g. "sex"
age	column name of age column e.g. "age"
var	column name of item e.g. "bmi"
lmsref	LMS reference data. Needed column "age", "L", "M", "S", data needs to be sex specific

Details

´lmszscore´ calculates growth and BMI z scores using LMS reference values

Value

The function returns a vector containing z scores

Author(s)

Florian Halbeisen

Examples

mydf <- data.frame(  age = c(10.2,11.4,9.7,2.3,14.2,18.2,19.4,13.0),
                     sex = sample(c("male","female"), size = 8, replace = TRUE),
                     bmi = c(20.1,27.3,15.0,18.2,17.4,23.9,21.2,17.9))

lmsref <- data.frame(age = seq(1,20,0.5),
                        L = seq(0.1,-2,length.out = 39),
                        M = seq(13,22,length.out = 39),
                        S = seq(0.09,0.2,length.out = 39))

lmszscore(mydf = mydf, sexcat = "female", sex = "sex", age = "age", var = "bmi" , lmsref = lmsref)

florihalbeisen/lmszscore documentation built on Feb. 1, 2020, 2:07 a.m.