[R] Problem passing a statistical model as an argument
Frank E Harrell Jr
f.harrell at vanderbilt.edu
Fri Aug 21 01:01:10 CEST 2009
Dear Colleagues:
I would like to write a front end for a modeling function, but run into
trouble when passing a weights argument.
y <- 1:5
x <- c(1,3,2,5,4)
w <- function(formula, ...) lm(formula, ...)
lm(y ~ x, weights=c(1,1,1,2,2))
w(y ~ x)
w(y ~ x, weights=c(1,1,1,2,2))
Error in eval(expr, envir, enclos) :
..1 used in an incorrect context, no ... to look in
w <- function(formula, weights, ...) lm(formula, weights=weights, ...)
w(y ~ x, weights=c(1,1,1,2,2))
Error in model.frame.default(formula = formula, weights = weights,
drop.unused.levels = TRUE) :
invalid type (closure) for variable '(weights)'
Is there a general approach that solves this? Thanks -Frank
> sessionInfo()
R version 2.9.0 (2009-04-17)
x86_64-pc-linux-gnu
locale:
LC_CTYPE=en_US.UTF-8;LC_NUMERIC=C;LC_TIME=en_US.UTF-8;LC_COLLATE=en_US.UTF-8;LC_MONETARY=C;LC_MESSAGES=en_US.UTF-8;LC_PAPER=en_US.UTF-8;LC_NAME=C;LC_ADDRESS=C;LC_TELEPHONE=C;LC_MEASUREMENT=en_US.UTF-8;LC_IDENTIFICATION=C
attached base packages:
[1] splines stats graphics grDevices utils datasets methods
[8] base
other attached packages:
[1] survival_2.35-4
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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