it looks like as. polynomial merely stores the coefficients of the  
polynomial.
	"Internally, polynomials are simply numeric coefficient vectors of  
class "polynomial". "
If you really want to print it in the form you want try this.

m <- matrix(rnorm(3000),1000,3)
apply(m, 1, function(x){print(as.polynomial(x))}) # Not sure why you  
are using 2 i.e. applying the formula column wise instead of 1, row  
wise.


Nikhil Kaza
Asst. Professor,
City and Regional Planning
University of North Carolina

nikhil.list@gmail.com

On Oct 4, 2010, at 9:10 PM, Raznahan, Armin (NIH/NIMH) [E] wrote:

> Hello All
>
> First - a warning. I'm not very R or programming savvy.
>
> I am trying to do something without much luck, and have scoured help- 
> pages, but nothing has come up. Here it is:
>
> I have a matrix (m) of approx 40,000 rows and 3 columns, filled with  
> numbers.
>
> I would like to convert the contents of this matrix into another  
> matrix (m_p), where the numbers of (m) have been coerced into a  
> polynomial - using a function called "as.polynomial()" from the  
> package (polynom). Each row of (m) contains 3 terms to be made into  
> a polynomial in the equivalent row of (m_p).
>
> I have tried a coupe of things:
>
> ------------------------------
> 1. Using apply()
>
> m_p<-apply(m, 2, as.polynomial)
>
> Here is what happens..
>
>> dim(m)
> [1] 40962     3
>> m_p<-apply(m, 2, as.polynomial)
>> m_p[1:5,]
>            dM_I    dM_a.c dM_a.c.sq
> [1,] -0.00593058 -0.000688  3.65e-05
> [2,] -0.01913294  0.000103  1.41e-04
> [3,] -0.01317958 -0.001190  1.49e-04
> [4,] -0.02651112 -0.001550  2.37e-04
> [5,] -0.01680289 -0.003520  2.86e-04
>
> So - looks like the coercion hasn't worked. BUT, if I do things  
> piecemeal - it looks ok..
>
>> m_p1<-as.polynomial(m[1,])
>> m_p1
> -0.00593058 - 0.000688*x + 3.65e-05*x^2
> --------------------------------
> -------------------------------
> 2. This made me think I was making some wrong assumptions using  
> apply(). So I wrote a function "test()", to take each row of (m) ,  
> use as.polynomial() on it,  and stick the results into a new matrix,  
> which it would then return..
>
> test<-function(x){
> a<-nrow(x)
> b<-ncol(x)
> c<-matrix(0, a, b)
> for (i in 1:a) {
> c[i,]<-as.polynomial(x[i,]) }
> return (c)
> }
>
>> m_p<-test(m)
>> dim(m_p)
> [1] 40962     3
>> m_p[1:5,]
>            [,1]      [,2]     [,3]
> [1,] -0.00593058 -0.000688 3.65e-05
> [2,] -0.01913294  0.000103 1.41e-04
> [3,] -0.01317958 -0.001190 1.49e-04
> [4,] -0.02651112 -0.001550 2.37e-04
> [5,] -0.01680289 -0.003520 2.86e-04
>
> -------------------
>
> I don't know why I can do what I want when taking each line at a  
> time, but not when trying to run through the whole matrix.
>
> Sorry if missing something obvious.  Any help/pointers would be very  
> gratefully received
>
> Thanks v much
>
> Armin
>
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