R help - Nov 2023 - I need to create new variables based on two numeric variables and one dichotomize conditional category variables.

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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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 at 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
>
>         [[alternative HTML version deleted]]
>
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> and provide commented, minimal, self-contained, reproducible code.
>
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