search for: lmlm

...files, I have come to understand how the function works, but this is not an efficient way to learn best practices that should be used when writing a system function. > > Perhaps there is a document that does what I would like to see done, but I do not know of one. > > John > > lmlm > function (formula, data, subset, weights, na.action, method = "qr", > model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, > contrasts = NULL, offset, ...) > { > ret.x <- x > ret.y <- y > cl <- match.call() > m...

...elp files, I have come to understand how the function works, but this is not an efficient way to learn best practices that should be used when writing a system function. > > Perhaps there is a document that does what I would like to see done, but I do not know of one. > > John > > lmlm > function (formula, data, subset, weights, na.action, method = "qr", > model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, > contrasts = NULL, offset, ...) > { > ret.x <- x > ret.y <- y > cl <- match.call() > m...

...and with the help of R help files, I have come to understand how the function works, but this is not an efficient way to learn best practices that should be used when writing a system function. Perhaps there is a document that does what I would like to see done, but I do not know of one. John lmlm function (formula, data, subset, weights, na.action, method = "qr", model = TRUE, x = FALSE, y = FALSE, qr = TRUE, singular.ok = TRUE, contrasts = NULL, offset, ...) { ret.x <- x ret.y <- y cl <- match.call() mf <- match.call(expand.dots = FALSE) m...

Interesting discussion. A few things occurred to me. Apologies to Iris Simmons: I mixed up his answer with Bert's question. Bert raises questions about promises, and I think they are related to John Sorkin's question. A big difference between R and most other languages is that function arguments are computed lazily. match.call & substitute tell us what expressions will be evaluated