[R] multinom function
ronggui
0034058 at fudan.edu.cn
Thu Mar 31 15:02:34 CEST 2005
i think it is right!
i rearrage your data in the following form and carry multinom angain,it get the same result as yours.
> multinom(k~year+age,data=worms)
....
Call:
multinom(formula = k ~ year + age, data = worms)
Coefficients:
(Intercept) year age
sand -106.3405 0.05368317 -0.20612839
rocks -438.4518 0.21899290 0.09911392
Residual Deviance: 1054.121
AIC: 1066.121
> multinom(factor(x4)~X1+X2,weight=X3,data=newdata)
Call:
multinom(formula = factor(x4) ~ X1 + X2, data = newdata, weights = X3)
Coefficients:
(Intercept) X1 X2
2 -106.3407 0.05368328 -0.20612838
3 -438.4522 0.21899311 0.09911394
Residual Deviance: 1054.121
AIC: 1066.121
> newdata
X1 X2 X3 x4
1 2000 1 2 1
2 2000 2 5 1
3 2000 3 0 1
4 2001 1 8 1
5 2001 2 7 1
6 2001 3 7 1
7 2002 1 5 1
8 2002 2 9 1
9 2002 3 14 1
10 2003 1 12 1
11 2003 2 8 1
12 2003 3 7 1
13 2004 1 5 1
14 2004 2 13 1
15 2004 3 11 1
16 2000 1 4 2
21 2000 2 7 2
31 2000 3 13 2
41 2001 1 4 2
51 2001 2 14 2
61 2001 3 13 2
71 2002 1 20 2
81 2002 2 17 2
91 2002 3 15 2
101 2003 1 23 2
111 2003 2 20 2
121 2003 3 9 2
131 2004 1 35 2
141 2004 2 27 2
151 2004 3 18 2
17 2000 1 2 3
22 2000 2 6 3
32 2000 3 7 3
42 2001 1 9 3
52 2001 2 3 3
62 2001 3 2 3
72 2002 1 2 3
82 2002 2 10 3
92 2002 3 5 3
102 2003 1 19 3
112 2003 2 13 3
122 2003 3 17 3
132 2004 1 11 3
142 2004 2 20 3
152 2004 3 29 3
On Thu, 31 Mar 2005 12:44:51 +0100
alexbri <alexbri at netcabo.pt> wrote:
> Dear all:
>
>
>
> I am trying to fit a multinomial log linear model to the following data:
>
>
>
> worms<- data.frame(year= rep(2000:2004, c(3,3,3,3,3)),age=rep(1:3,5), mud=c(2,5,0,8,7,7,5,9,14,12,8,7,5,13,11),sand=c(4,7,13,4,14,13,20,17,15,23,20,9,35,27,18), rocks=c(2,6,7,9,3,2,2,10,5,19,13,17,11,20,29))
>
>
>
> mud, sand and rocks are the 3 factors while age and year are predictors.
>
> Can I fit a model with the multinom function (nnet library) to the data in this form?
>
>
>
> k<- as.matrix(worms[,3:5])
>
> m1<- multinom(k~year+age,data=worms)
>
>
>
> Is this correct, or is there another way?
>
>
>
> Thanks for your help, best wishes
>
>
>
> Alex
>
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