Matvec Users’ Guide

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114 INDEX F, 96 gamma, 98 geometric, 105 lognormal, 101 negative binomial, 107 non-central beta, 100 non-central Chi square, 93 non-central F, 96 non-central t, 95 normal, 90 Poisson, 104 t, 95 uniform, 92 eigen, 22 eigenvalues, 22 eigenvectors, 22 else, 35 Elston, 87 EM REML, 66 EPSILON, 9 escape sequence, 11 estimation, 64, 71 Exception, 109 !, 16 !=, 17 exponential distribution, 99 cdf, 100 inv, 100 mean, 100 mgf, 100 parameter, 100 pdf, 99 sample, 100 variance, 100 F distribution, 96 cdf, 97 inv, 97 mean, 97 mgf, 97 parameter, 97 pdf, 97 sample, 97 variance, 97 Fernando, 87 fliplr, 22 flipud, 23 for, 36 gamma distribution, 98 cdf, 98 inv, 98 mean, 98 mgf, 98 parameter, 98 pdf, 98 sample, 98 variance, 98 gammainc, 19 gammaln, 19 genotype probability, 87 geometric distribution, 105 cdf, 106 inv, 106 mean, 106 mgf, 106 parameter, 106 pdf, 106 sample, 106 variance, 106 ginv, 23 glim, 71 GLMM, 69 AI REML, 79 contrast, 72 estimation, 71 glim, 71 GLM, 69 growth curves, 77 hypothesis test, 72 linked variance functions, 84 Model Specification, 70 survival, 74 threshold model, 73 variance components estimation, 79 gmtime, 42 Growth curves Richards family, 77 hadamard, 56 hankel, 55 Heuch, 87 hilb, 55 hypothesis test, 64, 72 identity, 24 if, 35 input, 24 INPUT LINE WIDTH, 9 inv, 24 invhilb, 55 iterative algorithm, 87 Janss, 87 kron, 24 Kronecker, 24
INDEX 115 leapyear, 43 least-squares means, 65 Li, 87 Linear Model, 59 BLUE, 59 BLUP, 59 contrast, 64 covmat, 64 estimate, 64 estimation, 64 hypothesis test, 64 label, 64 least-squares means, 65 multi-trait, 63 regression, 59 variance components estimation, 66 localtime, 41 logdet, 24 lognormal distribution, 101 cdf, 102 inv, 102 mean, 102 mgf, 102 parameter, 102 pdf, 102 sample, 102 variance, 102 loops, 87 Matrix, 15 *, 16 *=, 16 +, 16 ++, 16 +=, 16 -, 16 –, 16 -=, 16 .*, 16 .*=, 16 .+, 16 .+=, 16 .-, 16 .-=, 16 ./, 16 ./=, 16 .ˆ, 16 /, 16 /=, 16 =, 16 !, 16 ’, 16 @, 16 ˆ, 16 all, 19 any, 20 chol, 20 cond, 20 corrcoef, 20 covariance, 21 det, 21 diag, 21 eigen, 22 Exponentials, 22 fliplr, 22 flipud, 23 ginv, 23 hadamard, 56 hankel, 55 hilb, 55 identity, 24 input, 24 inv, 24 invhilb, 55 kron, 24 logdet, 24 max, 25 mean, 25 min, 25 mod, 26 norm, 26 ones, 26 pascal, 56 pow, 26 product, 26 rank, 26 reshape, 27 resize, 27 rot90, 27 sample, 27 save, 28 select, 28 solve, 28 sort, 29 special matrix, 32 splines, 28 std, 29 sum, 29 sumsq, 29 svd, 29 sweep, 30 t, 30 toeplitz, 56 trace, 30 tril, 30 triu, 31 vander, 56
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Matvec Users’ Guide Version 1.03
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iv CONTENTS 3.3.1 Accessing element
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vi CONTENTS 10.7 Variance Component
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Chapter 1 A Tour of Matvec 1.1 Runn
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1.5. GETTING ONLINE HELP 3 Example
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1.8. VARIABLES, EXPRESSIONS, AND ST
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1.9. INBREEDING COEFFICIENT COMPUTA
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Chapter 2 Working on Objects Matvec
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2.4. MATRIX OBJECT 11 Another metho
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2.7. DATA OBJECT 13 2.6.3 inbcoef P
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Chapter 3 Matrix Object Matrix comp
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3.3. MANIPULATION 17 3.2.2 Relation
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3.4. COMPUTATION 19 3.3.3 Selecting
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3.4. COMPUTATION 21 This member fun
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3.4. COMPUTATION 23 > A.fliplr() fl
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3.4. COMPUTATION 25 max A.max() ret
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3.4. COMPUTATION 27 reshape A.resha
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3.4. COMPUTATION 29 sort If A is a
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3.4. COMPUTATION 31 Col 1 Col 2 Col
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3.5. SPECIAL MATRICES 33 Row 3 0 0
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Chapter 4 Program Flow Control The
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4.3. WHILE STATEMENT 37 that all th
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Chapter 5 File Stream Control Matve
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Chapter 6 Time Control Though I do
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6.2. WESTERN CALENDAR 43 6.2 Wester
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Chapter 7 User-Defined Function 7.1
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Chapter 8 2D/3D Object-Oriented Plo
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8.3. EXAMPLES 49 Figure 8.1: The cu
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Chapter 9 Macro Packages A macro pa
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9.1. DEMO PACKAGE 53 10: 2.20765 2.
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9.3. SPECIAL MATRIX PACKAGE 55 i =
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9.4. LINEAR PROGRAMMING PACKAGE 57
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Chapter 10 Linear Model Analyses 10
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10.3. BEST LINEAR UNBIASED PREDICTI
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Page 79 and 80: 11.1. GENERALIZED LINEAR MODEL 71 T
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Page 83 and 84: 11.1. GENERALIZED LINEAR MODEL 75 T
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Page 87 and 88: 11.2. PENALIZED QUASI-LIKELIHOOD 79
Page 95 and 96: Chapter 12 Segregation and Linkage
Page 97 and 98: Chapter 13 Statistical Distribution
Page 99 and 100: 13.2. CONTINUOUS DISTRIBUTION 91 4.
Page 101 and 102: 13.2. CONTINUOUS DISTRIBUTION 93 Ex
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Page 105 and 106: 13.2. CONTINUOUS DISTRIBUTION 97 Pr
Page 107 and 108: 13.2. CONTINUOUS DISTRIBUTION 99 Ex
Page 109 and 110: 13.2. CONTINUOUS DISTRIBUTION 101 M
Page 111 and 112: 13.3. DISCRETE DISTRIBUTION 103 Fig
Page 113 and 114: 13.3. DISCRETE DISTRIBUTION 105 Mat
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Page 117 and 118: Chapter 14 Exception Exceptions in
Page 119 and 120: Chapter 15 Matvec C++ API 15.1 An O
Page 121: Index *, 16 *=, 16 +, 16 ++, 16 +=,
Page 125: INDEX 117 t distribution, 95 cdf, 9
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