Thanks a lot, David !
Thats what I wanted. it is greatly helpful.
GP
University of Guelph
Guelph, ON
On Tue, Nov 11, 2014 at 7:02 PM, David Winsemius
wrote:
>
> On Nov 11, 2014, at 2:53 PM, Gyanendra Pokharel wrote:
>
> > Thanks David, what do you mean by organized data in regular manner?
>
On Nov 11, 2014, at 2:53 PM, Gyanendra Pokharel wrote:
> Thanks David, what do you mean by organized data in regular manner?
This is what I meant by a regular manner:
> matrix( c( rep( seq(0,1, by=.1), 11), rep( seq(0,1, by=.1),each=11) ,
> runif(121) ), 121,3)
[,1] [,2][,3]
Thanks David, what do you mean by organized data in regular manner?
Gyanendra Pokharel
University of Guelph
Guelph, ON
On Tue, Nov 11, 2014 at 3:53 PM, David Winsemius
wrote:
>
> On Nov 11, 2014, at 11:17 AM, Gyanendra Pokharel wrote:
>
> > Hi R users,
> > I am trying to plot two dimensional po
... as would the loess predict() method do from a loess() fit in the
base package.
I have used loess() for this purpose primarily to take advantage of
its "robustness" capabilities. I hasten to add that the algorithm is
not infallible in this regard, as it may not recover from a
sufficiently bad s
On 11/11/2014, 2:17 PM, Gyanendra Pokharel wrote:
> Hi R users,
> I am trying to plot two dimensional posterior likelihood surface. I have a
> data like
>
> para1 para2 likehood
> ... ...
> ... ...
>
>
>
> I looked at contour
On Nov 11, 2014, at 11:17 AM, Gyanendra Pokharel wrote:
> Hi R users,
> I am trying to plot two dimensional posterior likelihood surface. I have a
> data like
>
> para1 para2 likehood
> ... ...
> ... ...
>
>
>
> I looked at
Hi R users,
I am trying to plot two dimensional posterior likelihood surface. I have a
data like
para1 para2 likehood
... ...
... ...
I looked at contour plot but it needs a shorted values of parameters and a
matrix of likeli
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