BMI For Age

04 Nov 2015

I build the R package bmiage to ease the classification of BMI for age and sex. It uses CDC child bmi charts to assign each bmi to the four categories: underweight, healthy weight, overweight and obese.

To install the package:, run these two lines of R codes.

devtools::install_github("epinotes/bmiage")
library(bmiage)

Examples

Looking into the help files for the function bmicat

?bmicat

When no dataset is provided try:

bmicat(data = NULL,sex = "F",age = 18,wt.kg = 70 ,ht.m = 1.75, age.unit="year",bind = F)

##        bmi bmicat
## 1 22.85714      1

Now let's create a dataframe df:

 df <- data.frame(sex = c("F","M", "F"), age = c(18,15,NA), weight = c(70,50, 55), height = c(1.75, 1.60, 1.65))

We can use the new dataframe, df, with the function bmicat:

 df <- bmicat(data = df,sex = sex,age = age,wt.kg = weight ,ht.m = height, age.unit="year",bind = T)

 df

##   sex age weight height      bmi bmicat
## 1   F  18     70   1.75 22.85714      1
## 2   M  15     50   1.60 19.53125      1
## 3   F  NA     55   1.65 20.20202     NA

Now df has two added variables.

Epinotes

BMI For Age