Thanks for the tips. I'll give them a try!
On Sat, Jun 18, 2011 at 12:07 PM, Dennis Murphy wrote:
> Much better..nice!
>
> Dennis
>
> On Sat, Jun 18, 2011 at 1:53 AM, Dimitris Rizopoulos
> wrote:
> > maybe another way is by reconstructing the formula using paste(), e.g.,
> >
> > data <- data.fr
Much better..nice!
Dennis
On Sat, Jun 18, 2011 at 1:53 AM, Dimitris Rizopoulos
wrote:
> maybe another way is by reconstructing the formula using paste(), e.g.,
>
> data <- data.frame(y = rnorm(5), x1 = runif(5),
> z = runif(5), age = runif(5))
>
> nameRsp <- "y"
> nams <- names(data)
> namsX
maybe another way is by reconstructing the formula using paste(), e.g.,
data <- data.frame(y = rnorm(5), x1 = runif(5),
z = runif(5), age = runif(5))
nameRsp <- "y"
nams <- names(data)
namsX <- nams[!nams %in% nameRsp]
form <- as.formula(paste(nameRsp, "~" ,
paste("log(", namsX, ")", sep
Yes, it's possible, but if you want to do prediction on future
x-values, you will likely have a problem.
One way to do it would be something like (assuming y is the first column of dat)
reg <- lm(y ~ log(as.matrix(dat[, -1])), dat)
but the output would be pretty ugly (see summary(reg)). Another
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