[R] iterative regressions, adding a new line of data each time

[Rolf Turner]

On 2/02/2010, at 8:38 AM, Steve Lianoglou wrote:

> On Mon, Feb 1, 2010 at 2:16 PM, Rolf Turner <r.turner at auckland.ac.nz> wrote:
>> 
>> On 31/01/2010, at 12:14 PM, ace834 wrote:
>> 
>>> 
>>> Hi, I am pretty new to R. I'm trying run a regression repeatedly, adding a
>>> new data point each time, and then storing the predicted Y values. For
>>> example, let's say I have 500 data points and I run the regression. I would
>>> then like to store the Y value, run the regression again using 501 data
>>> points, store the new Y, run the regression with 502 data points, store the
>>> Y, and so on. What I would like is a new object that has all of the
>>> predicted Y values.  I'm using time series data, and I'm running a
>>> multivariable regression.  Any help would be greatly appreciated.  Thanks.
>> 
>> 
>> This would seem to be very easy to do using a for loop and a list.
> 
> And what sounds like a perfect opportunity for the OP to learn how to
> use `lapply` to make this happen ...

It's not at all clear to me that lapply() is the appropriate tool here.
I.e. I can see a very simple syntax for a for loop construction, but not
for a lapply() construction.

I stand to be corrected, but.

	cheers,

		Rolf Turner
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