Dear Paul,
Is it possible that you're overthinking this? That is, to you really need an
R model formula or just want to evaluate an arithmetic expression using the
columns of X?
If the latter, the following approach may work for you:
> evalFormula <- function(X, expr){
+ if (is.null(colnames(X))) colnames(X) <- paste0("x", 1:ncol(X))
+ with(as.data.frame(X), eval(parse(text=expr)))
+ }
> X <- matrix(1:20, 5, 4)
> X
[,1] [,2] [,3] [,4]
[1,] 1 6 11 16
[2,] 2 7 12 17
[3,] 3 8 13 18
[4,] 4 9 14 19
[5,] 5 10 15 20
> evalFormula(X, '2 + 3*x1 + 4*x2 + 5*x3 + 6*x1*x2')
[1] 120 180 252 336 432
I hope that this helps,
John
-----------------------------------------------------------------
John Fox
Professor Emeritus
McMaster University
Hamilton, Ontario, Canada
Web: https://socialsciences.mcmaster.ca/jfox/
> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Paul
> Johnson
> Sent: Tuesday, August 21, 2018 6:46 PM
> To: R-help <r-help at r-project.org>
> Subject: [R] looking for formula parser that allows coefficients
>
> Can you point me at any packages that allow users to write a formula with
> coefficients?
>
> I want to write a data simulator that has a matrix X with lots of columns,
and
> then users can generate predictive models by entering a formula that uses
> some of the variables, allowing interactions, like
>
> y ~ 2 + 1.1 * x1 + 3 * x3 + 0.1 * x1:x3 + 0.2 * x2:x2
>
> Currently, in the rockchalk package, I have a function simulates data
> (genCorrelatedData2), but my interface to enter the beta coefficients is
poor.
> I assumed user would always enter 0's as place holder for the unused
> coefficients, and the intercept is always first. The unnamed vector is too
> confusing. I have them specify:
>
> c(2, 1.1, 0, 3, 0, 0, 0.2, ...)
>
> I the documentation I say (ridiculously) it is easy to figure out from the
> examples, but it really isnt.
> It function prints out the equation it thinks you intended, thats minimum
> protection against user error, but still not very good:
>
> dat <- genCorrelatedData2(N = 10, rho = 0.0,
> beta = c(1, 2, 1, 1, 0, 0.2, 0, 0, 0),
> means = c(0,0,0), sds = c(1,1,1), stde = 0) [1] "The
equation that was
> calculated was"
> y = 1 + 2*x1 + 1*x2 + 1*x3
> + 0*x1*x1 + 0.2*x2*x1 + 0*x3*x1
> + 0*x1*x2 + 0*x2*x2 + 0*x3*x2
> + 0*x1*x3 + 0*x2*x3 + 0*x3*x3
> + N(0,0) random error
>
> But still, it is not very good.
>
> As I look at this now, I realize expect just the vech, not the whole vector
of all
> interaction terms, so it is even more difficult than I thought to get the
correct
> input.Hence, I'd like to let the user write a formula.
>
> The alternative for the user interface is to have named coefficients.
> I can more or less easily allow a named vector for beta
>
> beta = c("(Intercept)" = 1, "x1" = 2, "x2" =
1, "x3" = 1, "x2:x1" = 0.1)
>
> I could build a formula from that. That's not too bad. But I still
think it would
> be cool to allow formula input.
>
> Have you ever seen it done?
> pj
> --
> Paul E. Johnson http://pj.freefaculty.org
> Director, Center for Research Methods and Data Analysis http://crmda.ku.edu
>
> To write to me directly, please address me at pauljohn at ku.edu.
>
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