[R] Trying to understand the magic of lm

William Michels wjm1 @end|ng |rom c@@@co|umb|@@edu
Thu May 9 19:01:01 CEST 2019

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:


Best Regards,


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.
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