df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-58)*TG))
That will do both calculations and merge the two vectors appropriately. It will
use extra memory, but it should be much faster than a 'for' loop.
Regards,
Jorgen Harmse.
------------------------------
Message: 8
Date: Fri, 3 Nov 2023 11:10:49 +1030
From: "Md. Kamruzzaman" <mkzama...@gmail.com>
To: r-help@r-project.org
Subject: [R] I need to create new variables based on two numeric
variables and one dichotomize conditional category variables.
Message-ID:
<cagbxoegjsxzkq6qijemq-x-5doqnqqs1jjpddrgt6hh5xwq...@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
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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