age-
> From: r-devel-boun...@r-project.org [mailto:r-devel-bounces@r-
> project.org] On Behalf Of Paul Johnson
> Sent: Wednesday, April 27, 2011 10:20 AM
> To: Duncan Murdoch
> Cc: R Devel List
> Subject: Re: [Rd] Wish R Core had a standard format (or generic
> functio
Among many solutions, I generally use the following code, which avoids the
ideal average individual, by considering the mean across of the predicted
values:
averagingpredict <- function(model, varname, varseq, type, subset=NULL)
{
if(is.null(subset))
mydata <- model$data
else
On Tue, Apr 26, 2011 at 7:39 PM, Duncan Murdoch
wrote:
> If you don't like the way this was done in my three lines above, or by Frank
> Harrell, or the Zelig group, or John Fox, why don't you do it yourself, and
> get it right this time? It's pretty rude to complain about things that
> others ha
On Wed, Apr 27, 2011 at 3:55 AM, peter dalgaard wrote:
>
> On Apr 27, 2011, at 02:39 , Duncan Murdoch wrote:
>
>> On 26/04/2011 11:13 AM, Paul Johnson wrote:
>>> Is anybody working on a way to standardize the creation of "newdata"
>>> objects for predict methods?
>
> [snip]
>
>>> I think it is tim
On Apr 27, 2011, at 02:39 , Duncan Murdoch wrote:
> On 26/04/2011 11:13 AM, Paul Johnson wrote:
>> Is anybody working on a way to standardize the creation of "newdata"
>> objects for predict methods?
[snip]
>> I think it is time the R Core Team would look at this tell "us" what
>> is the right
On 26/04/2011 11:13 AM, Paul Johnson wrote:
Is anybody working on a way to standardize the creation of "newdata"
objects for predict methods?
They're generally just dataframes. Use the data.frame() function.
When using predict, I find it difficult/tedious to create newdata data
frames when t
Is anybody working on a way to standardize the creation of "newdata"
objects for predict methods?
When using predict, I find it difficult/tedious to create newdata data
frames when there are many variables. It is necessary to set all
variables at the mean/mode/median, and then for some variables o
