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8 Command file: Multivariate analysis 146convergence6 GFW Variate 0 0 4.100 7.478 11.207 YLD 0 0 60.30 75.11 88.608 FDIAM Variate 0 0 15.90 22.29 30.609 Trait 210 Trait.YEAR 6 9 Trait : 2 5 YEAR : 311 Trait.TEAM 70 9 Trait : 2 4 TEAM : 3512 Trait.TAG 1042 9 Trait : 2 1 TAG : 5211485 identity2 UnStructure 0.2000 0.2000 0.40002970 records assumed sorted 2 within 14852 UnStructure 0.4000 0.3000 1.300035 identityStructure for Trait.TEAM has 70 levels defined2 UnStructure 0.2000 0.2000 2.0000521 identityStructure for Trait.TAG has 1042 levels definedForming 1120 equations: 8 dense.Initial updates will be shrunk by factor 0.316Notice: Algebraic ANOVA Denominator DF calculation is not availableEmpirical derivatives will be used.NOTICE: 2 singularities detected in design matrix.1 LogL=-886.521 S2= 1.0000 2964 df2 LogL=-818.508 S2= 1.0000 2964 df3 LogL=-755.911 S2= 1.0000 2964 df4 LogL=-725.374 S2= 1.0000 2964 df5 LogL=-723.475 S2= 1.0000 2964 df6 LogL=-723.462 S2= 1.0000 2964 df7 LogL=-723.462 S2= 1.0000 2964 df8 LogL=-723.462 S2= 1.0000 2964 dffinalcomponentsSource Model terms Gamma Component Comp/SE % CResidual UnStru 1 1 0.198351 0.198351 21.94 0 UResidual UnStru 2 1 0.128890 0.128890 12.40 0 UResidual UnStru 2 2 0.440601 0.440601 21.93 0 UTrait.TEAM UnStru 1 1 0.374493 0.374493 3.89 0 UTrait.TEAM UnStru 2 1 0.388740 0.388740 2.60 0 UTrait.TEAM UnStru 2 2 1.36533 1.36533 3.74 0 UTrait.TAG UnStru 1 1 0.257159 0.257159 12.09 0 UTrait.TAG UnStru 2 1 0.219557 0.219557 5.55 0 UTrait.TAG UnStru 2 2 1.92082 1.92082 14.35 0 U
8 Command file: Multivariate analysis 147Residual0.4360 is thecorrelationTrait.TEAMTrait.TAGCovariance/Variance/Correlation Matrix UnStructured0.1984 0.43600.1289 0.4406Covariance/Variance/Correlation Matrix UnStructured0.3745 0.54360.3887 1.365Covariance/Variance/Correlation Matrix UnStructured0.2572 0.31240.2196 1.921Analysis of Variance NumDF DenDF F_inc Prob9 Trait 2 33.0 5761.58
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ASRemlUser GuideRelease 2.0A R Gilm
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Published by:E-mail:Website:VSN Int
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PrefaceiiASReml is one of several u
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ContentsPrefaceiList of TablesxviiL
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Contentsvi3.3 The ASReml data file
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ContentsviiiCombining rows from sep
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Contentsx7.6 Variance structure qua
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Contentsxii12.2 The command line .
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Contentsxiv15 Examples 24115.1 Intr
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List of Tablesxvi7.3 Details of the
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List of Figuresxix15.8 Rice bloodwo
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1 Introduction 21.1 What ASReml can
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1 Introduction 41.4 How to use this
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2 Some theoryThe linear mixed model
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2 Some theory 8laid out in a rectan
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2 Some theory 10product of matrices
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2 Some theory 12where H = R + ZGZ
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2 Some theory 14where y i is the
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2 Some theory 162.4 Combining varia
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2 Some theory 18balanced one-way cl
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2 Some theory 20L, r × p, and l, r
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2 Some theory 22the terms A, B, C,
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2 Some theory 24Kenward and Roger A
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3 A guided tourIntroductionNebraska
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3 A guided tour 28column rectangula
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3 A guided tour 30(see Chapter 2) t
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3 A guided tour 32els. Similarly fo
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3 A guided tour 34mand to run nin89
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3 A guided tour 36* SYNTAX change:
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3 A guided tour 38repl 3 -0.8713 1.
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3 A guided tour 40title linenin all
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4 Data file preparation 424.1 Intro
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4 Data file preparation 44Fixed for
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5 Command file: Reading the data 46
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6 Command file: Specifying theterms
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6 Command file: Specifying the term
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Page 118 and 119: 6 Command file: Specifying the term
Page 128 and 129: 7 Command file: Specifying variance
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Page 178 and 179: 10 Tabulation of the data andpredic
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Page 192 and 193: 11 Functions of variancecomponentsI
Page 194 and 195: 11 Functions of variance components
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Page 198 and 199: 12 Command file: Running the jobInt
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Page 210 and 211: 13 Description of output filesIntro
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13 Description of output files 196.
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13 Description of output files 198o
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13 Description of output files 200E
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13 Description of output files 202t
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13 Description of output files 204|
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NIN alliance trial 1989 9a 1Residua
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13 Description of output files 208w
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13 Description of output files 210T
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14 Error messagesIntroductionCommon
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14 Error messages 214filename!last
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14 Error messages 216variety !AQUAL
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14 Error messages 2188. misspelt va
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14 Error messages 220Missing/faulty
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14 Error messages 222Last line read
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14 Error messages 224Model specific
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14 Error messages 226:11 column 11
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14 Error messages 22814.5 Informati
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14 Error messages 230List of warnin
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14 Error messages 232Alphabetical l
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15 Examples 24215.1 IntroductionIn
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15 Examples 244For simple variance
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15 Examples 2460.2_cwt Marvellous 1
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15 Examples 248The input file conta
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15 Examples 250Source Model terms G
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15 Examples 252ltage example 5−3
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15 Examples 254The focus is modelli
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15 Examples 256y1 y3 y5 y7 y10 ~ Tr
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15 Examples 258power model shown in
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15 Examples 260Residual US=UnStr 2
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15 Examples 262the current model).
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15 Examples 264Slate Hall example f
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15 Examples 266Predicted values of
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15 Examples 268wheat.asd !skip 1 !D
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Tullibigeal trial i2 1Variogram of
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15 Examples 272column evaluated at
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15 Examples 274this is for the pair
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15 Examples 276Table 15.8: Estimate
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15 Examples 278(and in fact necessa
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15 Examples 280Tr.run 22 0 US .79 .
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15 Examples 282Interpretation of re
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15 Examples 284The independence of
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15 Examples 286Note that the data f
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15 Examples 288Table 15.11 Orange d
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15 Examples 290217Predicted values
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15 Examples 292105Residual0-5-10200
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15 Examples 294Table 15.13: REML es
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15 Examples 29615*0. #Asreml will e
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15 Examples 298Covariance/Variance/
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15 Examples 300Eigen values 4.382 0
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15 Examples 302Animal modelIn this
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15 Examples 304additive genetic var
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BibliographyAbramowitz, M. and Steg
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Bibliography 308Gilmour, A. R., Cul
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Bibliography 310Schall, R. (1991).
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IndexABORTASR.NOW, 65FINALASR.NOW,
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Index 314free format, 42functions o
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Index 316!==, 53!>, 53!>=, 53!*, 53
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Index 318!STEP, 71!SUBSET, 71!SUB,
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Index 320parameter, 7variance compo
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