Thank you, Sarah!

Yes, unlist() looks like it will do just what I need. Thank you.

I took a different tack. I'd changed the function returning A to coerce the
row from the data.frame using as.numeric(). Any reason to prefer your way
or mine?

thanks again,
Nick


On Tue, May 1, 2012 at 2:08 PM, Sarah Goslee <sarah.goslee@gmail.com> wrote:

> Hi Nick,
>
> On Tue, May 1, 2012 at 1:56 PM, Nick Switanek <nswitanek@gmail.com> wrote:
> > Thank you, Steve and Sarah, for your swift replies.
> >
> > I didn't know about dput(). class() returns "matrix" for A, B, and C, but
> > here:
> >
> >> class(A)
> > [1] "matrix"
> >> class(B)
> > [1] "matrix"
> >> dput(A)
> > structure(list(1239814462, 1239814601, 14349, 3, 4, 0, 12, 46601,
> >    17801, 12401, 106001), .Dim = c(1L, 11L), .Dimnames = list(
> >    NULL, c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j",
> >    "k")))
>
> I'm not sure how you created A, but it's a list - see the structure
> given by dput(), and also:
>
> > is.list(A)
> [1] TRUE
> > is.list(B)
> [1] FALSE
>
>
> >> dput(B)
> > structure(c(1239197400, 1239199200, 1239202800, 1239199199, 1239202799,
> > 1239206399, 14342, 14342, 14342, 3, 3, 3, 0, 0, 0, 0, 0, 0, 9,
> > 10, 11, 35999, 39599, 43199, 7199, 10799, 14399, 1799, 5399,
> > 8999, 1799, 5399, 8999), .Dim = c(3L, 11L), .Dimnames = list(
> >    NULL, c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j",
> >    "k")))
>
> Note that the structure for B doesn't say anything about it being a list.
>
> In this particular case, you can fix that with:
> > rbind(unlist(A), B)
>              a          b     c d e f  g     h     i     j      k
> [1,] 1239814462 1239814601 14349 3 4 0 12 46601 17801 12401 106001
> [2,] 1239197400 1239199199 14342 3 0 0  9 35999  7199  1799   1799
> [3,] 1239199200 1239202799 14342 3 0 0 10 39599 10799  5399   5399
> [4,] 1239202800 1239206399 14342 3 0 0 11 43199 14399  8999   8999
>
> But now I'm curious where A came from.
>
> Sarah
>
> >> C <- rbind(A,B)
> >> dput(C)
> > structure(list(1239814462, 1239197400, NULL, NULL, 1239814601,
> >    1239199200, NULL, NULL, 14349, 1239202800, NULL, NULL, 3,
> >    1239199199, NULL, NULL, 4, 1239202799, NULL, NULL, 0, 1239206399,
> >    NULL, NULL, 12, 14342, NULL, NULL, 46601, 14342, NULL, NULL,
> >    17801, 14342, NULL, NULL, 12401, 3, NULL, NULL, 106001, 3,
> >    NULL, NULL), .Dim = c(4L, 11L), .Dimnames = list(NULL, c("a",
> > "b", "c", "d", "e", "f", "g", "h", "i", "j", "k")))
> >
> > But how do I convert A to the appropriate form for rbinding? Not simply
> > with as.matrix(). Witness:
> >> dput(as.matrix(A))
> > structure(list(1239814462, 1239814601, 14349, 3, 4, 0, 12, 46601,
> >    17801, 12401, 106001), .Dim = c(1L, 11L), .Dimnames = list(
> >    NULL, c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j",
> >    "k")))
> >
> > I think we're closer but I still need your help!
> >
> > Nick
> >
> >
> > On Tue, May 1, 2012 at 12:02 PM, Steve Lianoglou <
> > mailinglist.honeypot@gmail.com> wrote:
> >
> >> Hi,
> >>
> >> On Tue, May 1, 2012 at 11:52 AM, Nick Switanek <nswitanek@gmail.com>
> >> wrote:
> >> > Good morning,
> >> >
> >> > I'm running into trouble rbind-ing numeric matrices with differing
> >> numbers
> >> > of rows. In particular, there seem to be issues whenever a one-row
> >> numeric
> >> > matrix is involved.
> >> >
> >> > Assume A is a numeric matrix with 1 row and Y columns and B is a
> numeric
> >> > matrix with X rows and Y columns. Let C be the result of rbinding A
> and
> >> B.
> >> > Then C is a numeric matrix with X + 1 rows and Y columns, only
> instead of
> >> > the rows of B being "stacked" beneath the row of A as expected, the
> >> first Y
> >> > elements of the 1st column of B are placed in the 2nd row of C, the
> >> > remaining values of B are discarded, and NULL values fill out the
> rest of
> >> > the matrix C.
> >> >
> >> > The number of columns of A and B match. The colnames of A and B match.
> >> Both
> >> > are numeric matrices. I've pored over the rbind/cbind documentation
> but
> >> > can't identify why I'm getting this behavior from rbind. I'd be
> extremely
> >> > grateful for your suggestions or thoughts.
> >>
> >> If everything you say is true (and I'm understanding what you're
> >> saying), there must be something else going on with your data.
> >> Consider:
> >>
> >> R> m1 <- matrix(-(1:5), nrow=1)
> >> R> m2 <- matrix(1:20, ncol=5)
> >> R> rbind(m1, m2)
> >>      [,1] [,2] [,3] [,4] [,5]
> >> [1,]   -1   -2   -3   -4   -5
> >> [2,]    1    5    9   13   17
> >> [3,]    2    6   10   14   18
> >> [4,]    3    7   11   15   19
> >> [5,]    4    8   12   16   20
> >>
> >> Can you provide a small example of your data that reproduces the
> >> problem you're seeing?
> >>
> >> Construct these objects in your workspace and copy/paste the output of
> >> dput on your m1 and m2 matrices so we can easily work w/ them.
> >>
> >> Cheers,
> >> -steve
> >>
>
>
> --
> Sarah Goslee
> http://www.functionaldiversity.org
>

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