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13 Description of output files 196.11 -0.10000E-36 -0.1000E-36 -0.1000E-3612 -0.10000E-36 -0.1000E-36 -0.1000E-3613 -0.10000E-36 -0.1000E-36 -0.1000E-3614 -0.10000E-36 -0.1000E-36 -0.1000E-3615 -0.10000E-36 -0.1000E-36 -0.1000E-3616 24.088 5.162 6.07417 27.074 4.476 6.22218 28.795 6.255 6.28219 23.775 6.325 6.23520 27.042 6.008 5.962240 24.695 1.855 6.114241 25.452 0.1475 6.158242 22.465 4.435 6.60413.4 Other ASReml output filesThe .aov fileThis file reports details of the ANOVA calculations, particularly as relating tothe conditional F-statistics (not computed in this run). In the following tablerelating to the incremental F-statistic, the columns are• model term• columns in design matrix• numerator degrees of freedom• simple F-statistic• F-statistic scaled by λ• λ as defined in Kenward & Roger.• denominater degrees of freedommu 1 1 331.8483 331.8483 1.0000 25.0082variety 56 55 2.2259 2.2259 0.9995 110.8419A more useful example is obtained by adding a linear nitrogen contrast to theoats example (Section 15.2).
13 Description of output files 197The basic design is six replicates of threewhole plots to which variety was randomised,and four subplots which received 4 rates ofnitrogen. A !CONTRAST qualifier defines themodel term linNitr as the linear covariaterepresenting ntrogen applied. Fitting this beforethe model term nitrogen means that thislatter term represents lack of fit from a linearresponse.The !FCON qualifier requests conditional F-statistics. As this is a small example, denominatordegrees of freedom are reported by default.An extract from the .asr file is followedby the contents of the .aov file.Split plot analysis - oatblocks *nitrogen !Asubplotsvariety !Awplots *yieldoats.asd !skip 2!CONTRAST linNitr nitrogen .6,0.4 0.2 0.0!FCONyield ∼ mu variety linNitr,nitrogen variety.linNitr,v ariety.nitrogen,!r blocks blocks.wplotsDegrees of Freedom and Stratum Variances5.00 3175.06 12.0 4.0 1.010.00 601.331 0.0 4.0 1.045.00 177.083 0.0 0.0 1.0Source Model terms Gamma Component Comp/SE % Cblocks 6 6 1.21116 214.477 1.27 0 Pblocks.wplots 18 18 0.598937 106.062 1.56 0 PVariance 72 60 1.00000 177.083 4.74 0 PAnalysis of Variance NumDF DenDF_con F_inc F_con M P_con8 mu 1 6.0 245.14 138.14 .
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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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7 Command file: Specifying variance
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8 Command file: Multivariate analys
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8 Command file: Multivariate analys
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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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Page 216 and 217: 13 Description of output files 194f
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Page 228 and 229: NIN alliance trial 1989 9a 1Residua
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Page 232 and 233: 13 Description of output files 210T
Page 234 and 235: 14 Error messagesIntroductionCommon
Page 236 and 237: 14 Error messages 214filename!last
Page 238 and 239: 14 Error messages 216variety !AQUAL
Page 240 and 241: 14 Error messages 2188. misspelt va
Page 242 and 243: 14 Error messages 220Missing/faulty
Page 244 and 245: 14 Error messages 222Last line read
Page 246 and 247: 14 Error messages 224Model specific
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Page 250 and 251: 14 Error messages 22814.5 Informati
Page 252 and 253: 14 Error messages 230List of warnin
Page 254 and 255: 14 Error messages 232Alphabetical l
Page 264 and 265: 15 Examples 24215.1 IntroductionIn
Page 266 and 267: 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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