Models
Animal model
DATAFILE
data.test
TRAITS
3
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5
EFFECT
1 cross alpha
EFFECT
2 cross alpha
RANDOM
animal
FILE
test.ped
FILE_POS
1 2 3 0 0
PED_DEPTH
5
(CO)VARIANCES
1
Multiple trait animal model
DATAFILE
data.test
TRAITS
3 4
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5 2
2 4
EFFECT
1 1 cross alpha
EFFECT
2 2 cross alpha
RANDOM
animal
FILE
test.ped
FILE_POS
1 2 3 0 0
PED_DEPTH
5
(CO)VARIANCES
2 1
1 2
Animal model with UPG
DATAFILE
data.test
TRAITS
3
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5
EFFECT
1 cross alpha
EFFECT
2 cross alpha
RANDOM
animal
FILE
test.ped
FILE_POS
1 2 3 0 4
PED_DEPTH
5
GEN_INT
1 3 10
UPG_TYPE
yob
1990 1995 2000 2005
(CO)VARIANCES
1
Repeatability model 1
DATAFILE
data.test
TRAITS
3 4
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5 2
2 4
EFFECT
1 1 cross alpha
EFFECT
2 2 cross alpha
RANDOM
animal
FILE
test.ped
FILE_POS
1 2 3 0 0
PED_DEPTH
5
(CO)VARIANCES
2 1
1 2
EFFECT
2 2 cross alpha
RANDOM
diagonal
(CO)VARIANCES_PE
2 1
1 2
Repeatability model 2
DATAFILE
data.test
TRAITS
3 4
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5 2
2 4
EFFECT
1 1 cross alpha
EFFECT
2 2 cross alpha
RANDOM
animal
OPTIONAL
pe
FILE
test.ped
FILE_POS
1 2 3 0 0
PED_DEPTH
5
(CO)VARIANCES
2 1
1 2
(CO)VARIANCES_PE
2 1
1 2
Random regression model 1
DATAFILE
rrm.dat
TRAITS
9
FIELDS_PASSED TO OUTPUT
WEIGHT(S)
RESIDUAL_VARIANCE
1
EFFECT
7 cross alpha
EFFECT
2 cov
EFFECT
3 cov
EFFECT
4 cov
EFFECT
5 cov
EFFECT
6 cross alpha
RANDOM
animal
OPTIONAL
pe
FILE
rrm.ped
RANDOM_REGRESSION
data
RR_POSITION
2 3 4 5
rrm.dat
1 -1.00000 1.00000 -1.00000 1.00000 1 1 1 11
2 -0.77778 0.40741 -0.00960 -0.29249 2 1 1 12
3 -0.55556 -0.03704 0.40466 -0.36565 3 1 1 13
4 -0.33333 -0.33333 0.40741 0.01235 4 2 1 13
5 -0.11111 -0.48148 0.16324 0.32937 5 2 1 12
6 0.11111 -0.48148 -0.16324 0.32937 6 2 1 11
7 0.33333 -0.33333 -0.40741 0.01235 7 3 1 12
8 0.55556 -0.03704 -0.40466 -0.36565 8 3 1 13
9 0.77778 0.40741 0.00960 -0.29249 9 3 1 14
10 1.00000 1.00000 1.00000 1.00000 10 3 1 15
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rrm.ped
1 0 0
2 0 0
3 0 0
4 0 0
5 1 0
6 1 4
7 2 0
8 2 4
9 2 0
10 3 5
renf90.par
DATAFILE
renf90.dat
NUMBER_OF_TRAITS
1
NUMBER_OF_EFFECTS
13
OBSERVATION(S)
1
WEIGHT(S)
EFFECTS: POSITIONS_IN_DATAFILE NUMBER_OF_LEVELS TYPE_OF_EFFECT[EFFECT NESTED]
6 3 cross
7 1 cov
8 1 cov
9 1 cov
10 1 cov
2 10 cov 11
3 10 cov 11
4 10 cov 11
5 10 cov 11
2 10 cov 11
3 10 cov 11
4 10 cov 11
5 10 cov 11
RANDOM_RESIDUAL VALUES
1.0000000
RANDOM_GROUP
6 7 8 9
RANDOM_TYPE
add_animal
FILE
renadd06.ped
(CO)VARIANCES
1.0000000 0.1000000 0.1000000 0.1000000
0.1000000 1.0000000 0.1000000 0.1000000
0.1000000 0.1000000 1.0000000 0.1000000
0.1000000 0.1000000 0.1000000 1.0000000
RANDOM_GROUP
10 11 12 13
RANDOM_TYPE
diagonal
FILE
(CO)VARIANCES
1.0000000 0.1000000 0.1000000 0.1000000
0.1000000 1.0000000 0.1000000 0.1000000
0.1000000 0.1000000 1.0000000 0.1000000
0.1000000 0.1000000 0.1000000 1.0000000
Maternal effect model
DATAFILE
data.test
TRAITS
3 4
FIELDS_PASSED TO OUTPUT
5 6
WEIGHT(S)
RESIDUAL VARIANCE
5 2
2 4
EFFECT
1 1 cross alpha
EFFECT
2 2 cross alpha
RANDOM
animal
OPTIONAL
mat
FILE
test.ped
FILE_POS
1 2 3 0 0
PED_DEPTH
5
(CO)VARIANCES
2 1 1 1
1 2 1 1
1 1 2 1
1 1 1 2