Dear Spencer,
I don't think that the problem of "converting a data frame into a model matrix"
is well-defined, because there isn't a unique mapping from one to the other.
In your example, you build the model matrix for the additive formula ~ a + b
from the data frame matrix containing a and b
Hello, All:
What's the simplest way to convert a data.frame into a model.matrix?
One way is given by the following example, modified from the
examples in help(model.matrix):
dd <- data.frame(a = gl(3,4), b = gl(4,1,12))
ab <- model.matrix(~ a + b, dd)
ab0 <- model.matrix(~., dd
Martin, thanks for that example. It's definitely eye-opening, and
very good to know.
The installation business, however, is still a killer for me. Of
course, it's a trivial step in a simple example like the one you
showed. But consider this scenario: suppose I perform an analysis
that I may pu
On 10/03/2016 01:51 PM, Kynn Jones wrote:
Thank you all for your comments and suggestions.
@Frederik, my reason for mucking with environments is that I want to
minimize the number of names that import adds to my current
environment. For instance, if module foo defines a function bar, I
want my
Kynn,
You appear confused by the meaning of the word "optional".
All the things I listed for packages are additional features you _may_ use,
not onces that are imposed on you so that they _must_ be used.
Lastly, I forgot to mention NAMESPACE support. Which gives pretty much
exactly what you ou
Thank you all for your comments and suggestions.
@Frederik, my reason for mucking with environments is that I want to
minimize the number of names that import adds to my current
environment. For instance, if module foo defines a function bar, I
want my client code to look like this:
import("fo
On 02/10/2016 17:54, Pi wrote:
Hello.
It would be great if the grep function in R had the option to use the -m
parameter as the linux command does.
I guess you mean the non-standard flag of the GNU version of grep
(probably but not necessarily as used by Linux).
That the POSIX standard for
On Mon, Oct 3, 2016 at 10:18 AM, wrote:
> Hi Kynn,
>
> Thanks for expanding.
>
> I wrote a function like yours when I first started using R. It's
> basically the same up to your "new.env()" line, I don't do anything
> with environmentns. I just called my function "mysource" and it's
> essentially
Have a look at the CRAN modules package and the import package.
On Sun, Oct 2, 2016 at 1:29 PM, Kynn Jones wrote:
> I'm looking for a way to approximate the "zero-overhead" model of code
> reuse available in languages like Python, Perl, etc.
>
> I've described this idea in more detail, and the mo
Hi Kynn,
Thanks for expanding.
I wrote a function like yours when I first started using R. It's
basically the same up to your "new.env()" line, I don't do anything
with environmentns. I just called my function "mysource" and it's
essentially a "source with path". That allows me to find code I reu
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