On Nov 20, 2011, at 7:26 PM, 屠鞠传礼 wrote:
Thank you very much :)
I search on net and find sometimes response value in logistic model
can have more than 2 values, and the way of this kinds of regression
is called "Ordinal Logistic Regression". and even we can caculate it
by the same way I m
Thank you very much :)
I search on net and find sometimes response value in logistic model can have
more than 2 values, and the way of this kinds of regression is called "Ordinal
Logistic Regression". and even we can caculate it by the same way I mean glm in
R.
here are some references:
1. http:
Thank you Ligges :)
one more question:
my response value "diagnostic" have 4 levels (0, 1, 2 and 3), so I use it like
this:
"as.factor(diagnostic) ~ as.factor(7161521) +as.factor(2281517) "
Is it all right?
ÔÚ 2011-11-20 23:45:23£¬"Uwe Ligges" дµÀ£º
>
>
>On 20.11.2011 12:46, tujchl wrote:
>
I worried it too, Do you have idear that what tools I can use?
ÔÚ 2011-11-21 00:13:26£¬"Uwe Ligges" дµÀ£º
>
>
>On 20.11.2011 16:58, ÍÀ¾Ï´«Àñ wrote:
>> Thank you Ligges :)
>> one more question:
>> my response value "diagnostic" have 4 levels (0, 1, 2 and 3), so I use it
>> like this:
>> "as.
On 20.11.2011 17:27, 屠鞠传礼 wrote:
I worried it too, Do you have idear that what tools I can use?
Depends on your aims - what you want to do with the fitted model.
A multinomial model, some kind of discriminant analysis (lda, qda), tree
based methods, svm and so son come to mind. You probably
On 20.11.2011 16:58, 屠鞠传礼 wrote:
Thank you Ligges :)
one more question:
my response value "diagnostic" have 4 levels (0, 1, 2 and 3), so I use it like
this:
"as.factor(diagnostic) ~ as.factor(7161521) +as.factor(2281517)"
Is it all right?
Uhh. 4 levels? Than I doubt logistic regression is t
On 20.11.2011 12:46, tujchl wrote:
HI
I use glm in R to do logistic regression. and treat both response and
predictor as factor
In my first try:
***
Call:
glm(formula = as.factor(diagnostic) ~ as.factor(7161521) +
as.
HI
I use glm in R to do logistic regression. and treat both response and
predictor as factor
In my first try:
***
Call:
glm(formula = as.factor(diagnostic) ~ as.factor(7161521) +
as.factor(2281517), family = binomial())
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