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...ut the trade-offs are more complicated if WC is floating point. Regards, Jorgen Harmse. From: avi.e.gross at gmail.com <avi.e.gross at gmail.com> Date: Friday, November 3, 2023 at 16:12 To: Jorgen Harmse <JHarmse at roku.com>, r-help at r-project.org <r-help at r-project.org>, mkzaman.m at gmail.com <mkzaman.m at gmail.com> Subject: [EXTERNAL] RE: [R] I need to create new variables based on two numeric variables and one dichotomize conditional category variables. Just a minor point in the suggested solution: df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-...

...onal, would this be a slight improvement? df$LAP <- with(df, TG*(WC - ifelse(G=='male', 65, 58))) -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of Jorgen Harmse via R-help Sent: Friday, November 3, 2023 11:56 AM To: r-help at r-project.org; mkzaman.m at gmail.com Subject: Re: [R] I need to create new variables based on two numeric variables and one dichotomize conditional category variables. df$LAP <- with(df, ifelse(G=='male', (WC-65)*TG, (WC-58)*TG)) That will do both calculations and merge the two vectors appropriately. It wil...

...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" <mkzaman.m at gmail.com> To: r-help at 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-5doqnQQS1jjPDDrGT6hH5xWqOKQ at mail.gmail.com> Content-Type: text/...

I might have factored the gender. I'm not sure it would in any way be quicker. But might be to some extent easier to develop variations of. And is sort of what factors should be doing... # make dummy data gender <- c("Male", "Female", "Male", "Female") WC <- c(70,60,75,65) TG <- c(0.9, 1.1, 1.2, 1.0) myDf <- data.frame( gender, WC, TG ) #

...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 ca...

...t; -- > John Fox, Professor Emeritus > McMaster University > Hamilton, Ontario, Canada > web: https://www.john-fox.ca/ <https://www.john-fox.ca/> > > On 2024-01-16 10:21 p.m., Md. Kamruzzaman wrote: > > [You don't often get email from mkzaman.m at gmail.com > <mailto:mkzaman.m at gmail.com>. Learn why this is important at > https://aka.ms/LearnAboutSenderIdentification > <https://aka.ms/LearnAboutSenderIdentification> ] > > > > Caution: External email. > > > >...

...independent, and from that the confidence interval for their difference. I hope this helps, John -- John Fox, Professor Emeritus McMaster University Hamilton, Ontario, Canada web: https://www.john-fox.ca/ On 2024-01-16 10:21 p.m., Md. Kamruzzaman wrote: > [You don't often get email from mkzaman.m at gmail.com. Learn why this is important at https://aka.ms/LearnAboutSenderIdentification ] > > Caution: External email. > > > Hello Everyone, > I was analysing big survey data using survey packages on RStudio. Survey > package allows survey data analysis with the design...

...graph unless you create a factor with the order you wish to have used and avoid it making one invisibly. From: CALUM POLWART <polc1410 at gmail.com> Sent: Saturday, November 4, 2023 7:14 PM To: avi.e.gross at gmail.com Cc: Jorgen Harmse <JHarmse at roku.com>; r-help at r-project.org; mkzaman.m at gmail.com Subject: Re: [R] I need to create new variables based on two numeric variables and one dichotomize conditional category variables. I might have factored the gender. I'm not sure it would in any way be quicker. But might be to some extent easier to develop variations of. And...

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

Hello Everyone, I was analysing big survey data using survey packages on RStudio. Survey package allows survey data analysis with the design effect.The survey package included functions for all other statistical analysis except two-proportion z tests. I was trying to calculate the difference in prevalence of Diabetes and Prediabetes between the year 2011 and 2017 (with 95%CI). I was able to