[R] Trying to understand the magic of lm

[William Michels]

Hello John,

Others have commented on the first half of your question, but the
second half of your question looks very much like R's built-in
predict() functions:

>?predict
>?predict.lm

Best Regards,

Bill.

W. Michels, Ph.D.



On Wed, May 8, 2019 at 6:23 PM Sorkin, John <jsorkin using som.umaryland.edu> wrote:
>
> Can someone send me something I can read about passing parameters so I can understand how lm manages to have a dataframe passed to it, and use columns from the dataframe to set up a regression. I have looked at the code for lm and don't understand what I am reading. What I want to do is something like the following,
>
>
> myfunction <- function(y,x,dataframe){
>
>   fit0 <- lm(y~x,data=dataframe)
>   print (summary(fit0))
> }
>
> # Run the function using dep and ind as dependent and independent variables.
> mydata <- data.frame(dep=c(1,2,3,4,5),ind=c(1,2,4,5,7))
> myfunction(dep,ind)
> # Run the function using outcome and predictor as dependent and independent variables.
> newdata <- data.frame(outcome=c(1,2,3,4,5),predictor=c(1,2,4,5,7))
> myfunction(outcome,predictor)
>
>
>
>
>
> John David Sorkin M.D., Ph.D.
> Professor of Medicine
> Chief, Biostatistics and Informatics
> University of Maryland School of Medicine Division of Gerontology and Geriatric Medicine
> Baltimore VA Medical Center
> 10 North Greene Street
> GRECC (BT/18/GR)
> Baltimore, MD 21201-1524
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>
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