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13 Description of output filesIntroductionAn exampleKey output filesThe .asr fileThe .sln fileThe .yht fileOther ASReml output filesThe .aov fileThe .res fileThe .vrb fileThe .vvp fileThe .rsv fileThe .dpr fileThe .pvc fileThe .pvs fileThe .tab fileASReml output objects and where to find them188
13 Description of output files 18913.1 IntroductionWith each ASReml run a number of output files are produced. ASReml generatesthe output files by appending various filename extensions to basename. A briefdescription of the filename extensions is presented in Table 13.1.Table 13.1: Summary of ASReml output filesfiledescriptionKey output files.asr.pvc.pvs.res.rsv.sln.tab.yhtOther output files.apj.aovcontains a summary of the data and analysis results.contains the report produced with the P option.contains predictions formed by the predict directive.contains information from using the pol(), spl() and fac()functions, the iteration sequence for the variance componentsand some statistics derived from the residuals.contains the final parameter values for reading back if the!CONTINUE qualifier is invoked, see Table 5.4.contains the estimates of the fixed and random effects and theircorresponding standard errors.contains tables formed by the tabulate directive.contains the predicted values, residuals and diagonal elementsof the hat matrix for each data point.is an ASReml project file created by ASReml-W.contains details of the ANOVA calculations..aslcontains a progress log and error messages if the L commandline option is specified..asp contains transformed data, see !PRINT in Table 5.2..dbr/.dpr/.spr.veo.vrb.vvpcontains the data and residuals in a binary form for furtheranalysis (see !RESIDUALS, Table 5.5).holds the equation order to speed up re-running big jobs whenthe model is unchanged. This binary file is of no use to the user.contains the estimates of the fixed effects and their variance.contains the approximate variances of the variance parameters.It is designed to be read back with the P option for calculatingfunctions of the variance parameters.
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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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Page 160 and 161: 7 Command file: Specifying variance
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Page 178 and 179: 10 Tabulation of the data andpredic
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Page 212 and 213: 13 Description of output files 190A
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Page 228 and 229: NIN alliance trial 1989 9a 1Residua
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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
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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
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Page 254 and 255: 14 Error messages 232Alphabetical l
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14 Error messages 238Alphabetical l
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14 Error messages 240Alphabetical 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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