MatCount: Build Databases for Sexual Maturity Modeling by Logistic...
In LifeHist: Life History Models of Individuals
Description
Usage
Arguments
Details
Value
Author(s)
References
Examples
Description
From a data.frame of one continuous predictor (length, age, etc), and keys for
ordinal precictor sex, month, and maturity stage, this function will builds a list
of variable ready to be used in a 2- or 3-parameter logistic model
Usage
1
MatCount(matdat, fem.key, mal.key, stage.key, season.key)
Arguments
matdat
A data.frame where each row is an individual fish, and the columns are a
continuous predictor, and ordinal keys for sex, month, and maturity stage
fem.key
Integer, the ordinal key identifying females
mal.key
Integer, the ordinal key identifying males
stage.key
Integer, the ordinal key identifying the last maturity stage of juveniles. This
key will split the individual into immature (all having stage <= stage.key) and
mature.
season.key
Integer vector with two components, the first and last month of the reproductive
season
Details
The year is divided into two seasons, the reproductive season and the
non-reproductive season
Value
mal.nrep
A data.frame with the continuous predictor duplicated and sorted,
a binary for mature individuals, a binary for juveniles, and the
count of males in the non reproductive season
mal.rep
A data.frame with the continuous predictor duplicated and sorted,
a binary for mature individuals, a binary for juveniles, and the
count of males in the reproductive season
fem.nrep
A data.frame with the continuous predictor duplicated and sorted,
a binary for mature individuals, a binary for juveniles, and the
count of females in the non reproductive season
fem.rep
A data.frame with the continuous predictor duplicated and sorted,
a binary for mature individuals, a binary for juveniles, and the
count of females in the reproductive season
Author(s)
Ruben H. Roa-Ureta
References
R. Roa, B. Ernst, F. Tapia. 1999. Estimation of size at sexual maturity: evaluation
of analytical and resampling procedures. Fishery Bulletin (US) 97:570-580.
Examples
1
2
3
data(BlackAngler.lenmatdat)
MatCount(matdat=BlackAngler.lenmatdat, fem.key=2, mal.key=1, stage.key=2,
season.key=c(5,7))
Example output
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2
Attaching package: 'Hmisc'
The following objects are masked from 'package:base':
format.pval, round.POSIXt, trunc.POSIXt, units
$mal.nrep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 2 0 0 0 1 0 0 0 1 0 0 0 11 0 0 0 21 0 0 0 17
[26] 0 0 0 12 0 0 0 5 0 0 0 4 1 0 0 4 1 0 0 6 4 0 0 6 8
[51] 0 0 5 9 0 0 4 21 0 0 8 10 0 0 3 26 0 0 3 26 0 0 2 23 0
[76] 0 5 22 0 0 0 19 0 0 0 9 0 0 0 7 0 0 1 10 0 0 0 2 0 0
[101] 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0
[126] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$mal.rep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 5 0 0 0 10 0 0 0 10
[26] 0 0 0 9 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1
[51] 0 0 1 2 0 0 0 3 0 0 2 4 0 0 0 6 0 0 2 12 0 0 1 12 0
[76] 0 2 8 0 0 1 7 0 0 1 4 0 0 0 4 0 0 0 2 0 0 0 1 0 0
[101] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0
[126] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$fem.nrep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 1 0 0 0 0 0 0 0 5 0 0 0 3 0 0 0 11 0 0 0 12 0 0 0 11
[26] 0 0 0 6 0 0 0 3 0 0 0 5 0 0 0 11 0 0 0 8 0 0 0 5 0
[51] 0 0 12 1 0 0 20 0 0 0 19 0 0 0 22 0 0 0 25 0 0 0 16 0 0
[76] 0 20 0 0 0 27 1 0 0 24 1 0 0 38 2 0 0 27 5 0 0 23 5 0 0
[101] 17 4 0 0 30 6 0 0 24 4 0 0 26 8 0 0 24 10 0 0 19 7 0 0 15
[126] 7 0 0 10 4 0 0 11 1 0 0 2 0 0 0 1 3 0 0 2 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$fem.rep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 15 0 0 0 20 0 0 0 13
[26] 0 0 0 3 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 5 1 0 0 3 1
[51] 0 0 0 0 0 0 3 0 0 0 3 0 0 0 1 0 0 0 7 0 0 0 10 4 0
[76] 0 6 4 0 0 4 5 0 0 5 5 0 0 6 6 0 0 5 9 0 0 4 9 0 0
[101] 4 17 0 0 9 16 0 0 8 19 0 0 4 16 0 0 4 9 0 0 5 15 0 0 2
[126] 11 0 0 1 4 0 0 1 4 0 0 0 3 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
LifeHist documentation built on May 2, 2019, 5:42 a.m.
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Description Usage Arguments Details Value Author(s) References Examples
Description
From a data.frame of one continuous predictor (length, age, etc), and keys for ordinal precictor sex, month, and maturity stage, this function will builds a list of variable ready to be used in a 2- or 3-parameter logistic model
Usage
1 | MatCount(matdat, fem.key, mal.key, stage.key, season.key)
|
Arguments
matdat |
A data.frame where each row is an individual fish, and the columns are a continuous predictor, and ordinal keys for sex, month, and maturity stage |
fem.key |
Integer, the ordinal key identifying females |
mal.key |
Integer, the ordinal key identifying males |
stage.key |
Integer, the ordinal key identifying the last maturity stage of juveniles. This key will split the individual into immature (all having stage <= stage.key) and mature. |
season.key |
Integer vector with two components, the first and last month of the reproductive season |
Details
The year is divided into two seasons, the reproductive season and the non-reproductive season
Value
mal.nrep |
A data.frame with the continuous predictor duplicated and sorted, a binary for mature individuals, a binary for juveniles, and the count of males in the non reproductive season |
mal.rep |
A data.frame with the continuous predictor duplicated and sorted, a binary for mature individuals, a binary for juveniles, and the count of males in the reproductive season |
fem.nrep |
A data.frame with the continuous predictor duplicated and sorted, a binary for mature individuals, a binary for juveniles, and the count of females in the non reproductive season |
fem.rep |
A data.frame with the continuous predictor duplicated and sorted, a binary for mature individuals, a binary for juveniles, and the count of females in the reproductive season |
Author(s)
Ruben H. Roa-Ureta
References
R. Roa, B. Ernst, F. Tapia. 1999. Estimation of size at sexual maturity: evaluation of analytical and resampling procedures. Fishery Bulletin (US) 97:570-580.
Examples
1 2 3 | data(BlackAngler.lenmatdat)
MatCount(matdat=BlackAngler.lenmatdat, fem.key=2, mal.key=1, stage.key=2,
season.key=c(5,7))
|
Example output
Loading required package: Hmisc
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2
Attaching package: 'Hmisc'
The following objects are masked from 'package:base':
format.pval, round.POSIXt, trunc.POSIXt, units
$mal.nrep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 2 0 0 0 1 0 0 0 1 0 0 0 11 0 0 0 21 0 0 0 17
[26] 0 0 0 12 0 0 0 5 0 0 0 4 1 0 0 4 1 0 0 6 4 0 0 6 8
[51] 0 0 5 9 0 0 4 21 0 0 8 10 0 0 3 26 0 0 3 26 0 0 2 23 0
[76] 0 5 22 0 0 0 19 0 0 0 9 0 0 0 7 0 0 1 10 0 0 0 2 0 0
[101] 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0
[126] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$mal.rep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 0 0 0 0 0 0 0 0 8 0 0 0 5 0 0 0 10 0 0 0 10
[26] 0 0 0 9 0 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1
[51] 0 0 1 2 0 0 0 3 0 0 2 4 0 0 0 6 0 0 2 12 0 0 1 12 0
[76] 0 2 8 0 0 1 7 0 0 1 4 0 0 0 4 0 0 0 2 0 0 0 1 0 0
[101] 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0
[126] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$fem.nrep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 1 0 0 0 0 0 0 0 5 0 0 0 3 0 0 0 11 0 0 0 12 0 0 0 11
[26] 0 0 0 6 0 0 0 3 0 0 0 5 0 0 0 11 0 0 0 8 0 0 0 5 0
[51] 0 0 12 1 0 0 20 0 0 0 19 0 0 0 22 0 0 0 25 0 0 0 16 0 0
[76] 0 20 0 0 0 27 1 0 0 24 1 0 0 38 2 0 0 27 5 0 0 23 5 0 0
[101] 17 4 0 0 30 6 0 0 24 4 0 0 26 8 0 0 24 10 0 0 19 7 0 0 15
[126] 7 0 0 10 4 0 0 11 1 0 0 2 0 0 0 1 3 0 0 2 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
$fem.rep
$pred
[1] 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26
[26] 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38
[51] 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51
[76] 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63
[101] 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76
[126] 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86
$mat
[1] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[38] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[75] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[112] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
$juv
[1] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[38] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
[75] 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1
[112] 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0
$count
[1] 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 15 0 0 0 20 0 0 0 13
[26] 0 0 0 3 0 0 0 1 0 0 0 1 1 0 0 1 0 0 0 5 1 0 0 3 1
[51] 0 0 0 0 0 0 3 0 0 0 3 0 0 0 1 0 0 0 7 0 0 0 10 4 0
[76] 0 6 4 0 0 4 5 0 0 5 5 0 0 6 6 0 0 5 9 0 0 4 9 0 0
[101] 4 17 0 0 9 16 0 0 8 19 0 0 4 16 0 0 4 9 0 0 5 15 0 0 2
[126] 11 0 0 1 4 0 0 1 4 0 0 0 3 0 0 0 0 0 0 0 0
attr(,"row.names")
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
[19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
[37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
[55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
[73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
[91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
[109] 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144
[145] 145 146
attr(,"class")
[1] "MatData"
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