Naresh,
I appreciate your reply.
In my original posting, I neglected to mention that I want to propensity score
match the two groups. I don't think you suggestion will help me propensity
score match my data. Am I missing something?
Thank you,
John
John David Sorkin M.D., Ph.D.
Professor of Medicine, University of Maryland School of Medicine;
Associate Director for Biostatistics and Informatics, Baltimore VA Medical
Center Geriatrics Research, Education, and Clinical Center;
PI Biostatistics and Informatics Core, University of Maryland School of
Medicine Claude D. Pepper Older Americans Independence Center;
Senior Statistician University of Maryland Center for Vascular Research;
Division of Gerontology and Paliative Care,
10 North Greene Street
GRECC (BT/18/GR)
Baltimore, MD 21201-1524
Cell phone 443-418-5382
________________________________________
From: R-help <r-help-boun...@r-project.org> on behalf of Naresh Gurbuxani
<naresh_gurbux...@hotmail.com>
Sent: Thursday, September 18, 2025 10:10 AM
To: r-help@r-project.org <r-help@r-project.org>
Subject: [R] Fwd: Matching when each subject has multiple records
> mydf <- data.frame(date = as.Date("2010-01-01") + sample(500, size = 20),
> subject = sample(c("A", "B", "C"), 20, replace = TRUE), first = FALSE)
> mydf <- mydf[order(mydf$date),]
> df_split <- split(mydf, f = mydf$subject)
> df_split <- lapply(df_split, function(df) {df[1, "first"] <- TRUE; df})
> mydf <- do.call(rbind, df_split)
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______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
