Try this:
apply(foo, 2, mean) or
apply(foo, 2, median)
Thanks,
Deb
>>> Noah Silverman 22/09/2009 12:34 pm >>>
Hi,
I've been testing some models with the MCMCpack library.
I can run the process and get a nice model "object". I can easily see
the summary and even plot it.
I can't seem
Try this:
First of all:
> predict(foo)
Error in UseMethod("predict") : no applicable method for "predict"
Therefore, an alternative approach may be taken:
As per: bar <- apply(foo,2,mean)
bar[1] is the intercept
bar[2] is the coefficient for x1
bar[2] is the coefficient for x2
Th
Deb,
That's great!!!
But, then how to I convert those values to a "model" so I can use a
"predict" function.
I can see:
bar <- apply(foo,2,mean)
That creates an object, "bar", with the coefficients.
But, I can't call predict on bar...
-N
On 9/21/09 7:58 PM, Debabrata Midya wrote:
> Try t
Hi,
I've been testing some models with the MCMCpack library.
I can run the process and get a nice model "object". I can easily see
the summary and even plot it.
I can't seem to figure out how to:
1) Access the final coefficients in the model
2) Turn the coefficients into a model so I can the
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