[R] Trying to understand the magic of lm

[Sorkin, John]

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
(Phone) 410-605-7119
(Fax) 410-605-7913 (Please call phone number above prior to faxing)


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