Ngene crashes when reducing number of sets
Posted: Wed May 22, 2019 7:49 pm
Hi,
Ngene crashes when the number of alternatives is increased and correspondingly the number of sets reduced even though there are still sufficient degrees of freedom. A similar question was raised in Nov 2018 but there is no update on the forum as to a solution or workaround. Please see example below.
Any help would be much appreciated.
Thank you in advance.
Ngene crashes when the number of alternatives is increased and correspondingly the number of sets reduced even though there are still sufficient degrees of freedom. A similar question was raised in Nov 2018 but there is no update on the forum as to a solution or workaround. Please see example below.
Any help would be much appreciated.
Thank you in advance.
- Code: Select all
Design
;alts = A,B
;rows = 16
;eff=(mnl,d)
;model:
U(A) = b1.dummy[0|0|0]*P[1, 2, 3, 4] + b2.dummy[0|0]*C[1, 2, 3] +
i1[0]*P.dummy[1]*C.dummy[1] +
i2[0]*P.dummy[1]*C.dummy[2] +
i3[0]*P.dummy[2]*C.dummy[1] +
i4[0]*P.dummy[2]*C.dummy[2] +
i5[0]*P.dummy[3]*C.dummy[1] +
i6[0]*P.dummy[3]*C.dummy[2] /
U(B) = b1.dummy[0|0|0]*P[1, 2, 3, 4] + b2.dummy[0|0]*C[1, 2, 3] +
i1[0]*P.dummy[1]*C.dummy[1] +
i2[0]*P.dummy[1]*C.dummy[2] +
i3[0]*P.dummy[2]*C.dummy[1] +
i4[0]*P.dummy[2]*C.dummy[2] +
i5[0]*P.dummy[3]*C.dummy[1] +
i6[0]*P.dummy[3]*C.dummy[2] $
Design
;alts = A,B,C
;rows = 8
;eff=(mnl,d)
;model:
U(A) = b1.dummy[0|0|0]*P[1, 2, 3, 4] + b2.dummy[0|0]*C[1, 2, 3] +
i1[0]*P.dummy[1]*C.dummy[1] +
i2[0]*P.dummy[1]*C.dummy[2] +
i3[0]*P.dummy[2]*C.dummy[1] +
i4[0]*P.dummy[2]*C.dummy[2] +
i5[0]*P.dummy[3]*C.dummy[1] +
i6[0]*P.dummy[3]*C.dummy[2] /
U(B) = b1.dummy[0|0|0]*P[1, 2, 3, 4] + b2.dummy[0|0]*C[1, 2, 3] +
i1[0]*P.dummy[1]*C.dummy[1] +
i2[0]*P.dummy[1]*C.dummy[2] +
i3[0]*P.dummy[2]*C.dummy[1] +
i4[0]*P.dummy[2]*C.dummy[2] +
i5[0]*P.dummy[3]*C.dummy[1] +
i6[0]*P.dummy[3]*C.dummy[2] /
U(C) = b1.dummy[0|0|0]*P[1, 2, 3, 4] + b2.dummy[0|0]*C[1, 2, 3] +
i1[0]*P.dummy[1]*C.dummy[1] +
i2[0]*P.dummy[1]*C.dummy[2] +
i3[0]*P.dummy[2]*C.dummy[1] +
i4[0]*P.dummy[2]*C.dummy[2] +
i5[0]*P.dummy[3]*C.dummy[1] +
i6[0]*P.dummy[3]*C.dummy[2] $