Hi
I have a data frame, including x1, x2, x3, and y. I use lm() to fit
second-order linear model, like the following:
ft - lm(y ~ x1 + x2 + x3 + I(x1 * x1) + I(x1 * x2) + I(x1 * x3) + I(x2
* x2) + I(x2 * x3) + I(x3 * x3), mydata)
if the independent variable number is large, the formula will be
for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-Oorspronkelijk bericht-
Van: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Jinsong Zhao
Verzonden: zondag 27 juli 2008 9:39
Aan: r-help@r-project.org
Onderwerp: [R] A easy way
PROTECTED] [mailto:[EMAIL PROTECTED]
Namens Jinsong Zhao
Verzonden: zondag 27 juli 2008 9:39
Aan: r-help@r-project.org
Onderwerp: [R] A easy way to write formula
Hi
I have a data frame, including x1, x2, x3, and y. I use lm() to fit
second-order linear model, like the following:
ft - lm(y
On Sun, Jul 27, 2008 at 4:19 AM, Mark Difford [EMAIL PROTECTED] wrote:
Hi Jinsong and Thierry,
(x1 + x2 + x3) ^2 will give you the main effects and the interactions.
Although it wasn't specifically requested it is perhaps important to note
that (...)^2 doesn't expand to give _all_
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