Hello,
I use qda (package MASS) to obtain an object. If there is any
function to plot density plot of qda object with one dimension？
Thank you,
Shengzhe
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PLEASE do
On Sat, 27 Aug 2005, Shengzhe Wu wrote:
Hello,
I use qda (package MASS) to obtain an object. If there is any
function to plot density plot of qda object with one dimension$B!)(B
That makes no sense. qda objects do not have a density.
Please do study the background material (as you have
Hello,
I use lda (package: MASS) to obtain a lda object, then want to employ
this object to do the prediction for the new data like below:
predict(object, newdata, dimen=1, method=c(plug-in, predictive, debiased))
What is the exact difference among the three methods? What is the
difference of
On Fri, 26 Aug 2005, Shengzhe Wu wrote:
I use lda (package: MASS) to obtain a lda object, then want to employ
this object to do the prediction for the new data like below:
predict(object, newdata, dimen=1, method=c(plug-in, predictive,
debiased))
That is not how you call it: when a
Thanks for your reply. Actually I called function as below.
p1 = predict(object, newdata, dimen=1)
p2 = predict(object, newdata, dimen=1, method=debiased)
p3 = predict(object, newdata, dimen=1, method=predictive)
The MAP classification of prediction results by any method are the
same. I know
On Fri, 26 Aug 2005, Shengzhe Wu wrote:
Thanks for your reply. Actually I called function as below.
p1 = predict(object, newdata, dimen=1)
p2 = predict(object, newdata, dimen=1, method=debiased)
p3 = predict(object, newdata, dimen=1, method=predictive)
So why did you say something
I compared posterior of these three prediction results, they are a
little different.
The book you mentioned should be Modern Applied Statistics with S.
4th edition. But this book has been borrowed out from our univeristy
library by someone else, and I have checked the book Pattern
Recognition and
On Fri, 26 Aug 2005, Shengzhe Wu wrote:
I compared posterior of these three prediction results, they are a
little different.
The book you mentioned should be Modern Applied Statistics with S.
4th edition. But this book has been borrowed out from our univeristy
library by someone else,
So
