[R] I need to create new variables based on two numeric variables and one dichotomize conditional category variables.

[Bert Gunter]

Well, something like:

LAP <- ifelse(gender =='male', (WC-65)*TG, (WC-58)*TG)

The exact code depends on whether your variables are in a data frame or
list or whatever, which you failed to specify. If so, ?with  may be useful.

Cheers,
Bert



On Fri, Nov 3, 2023 at 3:43 AM Md. Kamruzzaman <mkzaman.m using gmail.com> wrote:

> Hello Everyone,
> I have three variables: Waist circumference (WC), serum triglyceride (TG)
> level and gender. Waist circumference and serum triglyceride is numeric and
> gender (male and female) is categorical. From these three variables, I want
> to calculate the "Lipid Accumulation Product (LAP) Index". The equation to
> calculate LAP is different for male and females. I am giving both equations
> below.
>
> LAP for male = (WC-65)*TG
> LAP for female = (WC-58)*TG
>
> My question is 'how can I calculate the LAP and create a single new column?
>
> Your cooperation will be highly appreciated.
>
> Thanks in advance.
>
> With Regards
>
> *--------------------------------*
>
> *Md Kamruzzaman*
>
> *PhD **Research Fellow (**Medicine**)*
> Discipline of Medicine and Centre of Research Excellence in Translating
> Nutritional Science to Good Health
> Adelaide Medical School | Faculty of Health and Medical Sciences
> The University of Adelaide
> Adelaide SA 5005
>
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>
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