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5 Command file: Reading the data 52(after transformation). ThusA B LagA !=V4 !V4=Areads two fields (A and B), and constructs LagA as the value of A from the previousrecord by extracting a value for LagA from working variable V4 before loading V4with the current value of A.Transformation syntaxTransformation qualifiers have one of six forms, namely!operator!operator value!operator V fieldto perform an operation on the current field,for example, !ABS to take absolute values,to perform an operation involving an argumenton the current field, for example, !+3to add 3 to all elements in the field,to perform an operation on the current fieldusing the data in another field, for example,!-V2 to subtract field 2 from the current field!V target to reset the focus for subsequent transformationsto field number target,!V target = value to change all of the data in a target field toa given value,!V target = V field to overwrite the data in a target field by thedata values of another field; a special case iswhen field is 0 instructing ASReml to put therecord number into the target field.• ! flags the presence of the transformation• operator is one of the symbols defined in Table 5.1,• value is the argument required by the transformation,• V is the literal character and is followed by the number (target or field) of adata field; the data field is used or modified depending on the context,• Vfield may be replaced by the label of the field if it already has a label,• in the first three forms the operation is performed on the current field; thiswill be the field associated with the label unless the focus has been reset byspecifying a new target in a preceding transformation,• the next three forms change the focus for subsequent transformations to thefield target,
5 Command file: Reading the data 53• in the last two forms a value is assigned to the target field. For example,... !V22=V11 ... copies (existing) field 11 into field 22. Such a statementwould typically be followed by more transformations. If there are fewer than22 variables labelled then V22 is used in the transformation stage but not keptfor analysis.Table 5.1: List of transformation qualifiers and their actions with examplesqualifier argument action examples!=, !+, !-, !*,!/vusual arithmetic meaning; note that,0/0 gives 0 but v/0 gives a missingvalue where v is not 0.!^ v raises the data (which must be positive)to the power v.!^ 0 takes natural logarithms of the data(which must be positive).!^ −1 takes reciprocal of data (data must bepositive).!>, !10yieldABSyield !=yield !ABSGerm TotalASG !=Germ !ARCSIN TotalDayCosDay !=Day !COS 365yield !D
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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
Page 24 and 25: 1 Introduction 21.1 What ASReml can
Page 26 and 27: 1 Introduction 41.4 How to use this
Page 28 and 29: 2 Some theoryThe linear mixed model
Page 30 and 31: 2 Some theory 8laid out in a rectan
Page 32 and 33: 2 Some theory 10product of matrices
Page 34 and 35: 2 Some theory 12where H = R + ZGZ
Page 36 and 37: 2 Some theory 14where y i is the
Page 38 and 39: 2 Some theory 162.4 Combining varia
Page 40 and 41: 2 Some theory 18balanced one-way cl
Page 42 and 43: 2 Some theory 20L, r × p, and l, r
Page 44 and 45: 2 Some theory 22the terms A, B, C,
Page 46 and 47: 2 Some theory 24Kenward and Roger A
Page 48 and 49: 3 A guided tourIntroductionNebraska
Page 50 and 51: 3 A guided tour 28column rectangula
Page 52 and 53: 3 A guided tour 30(see Chapter 2) t
Page 54 and 55: 3 A guided tour 32els. Similarly fo
Page 56 and 57: 3 A guided tour 34mand to run nin89
Page 58 and 59: 3 A guided tour 36* SYNTAX change:
Page 60 and 61: 3 A guided tour 38repl 3 -0.8713 1.
Page 62 and 63: 3 A guided tour 40title linenin all
Page 64 and 65: 4 Data file preparation 424.1 Intro
Page 66 and 67: 4 Data file preparation 44Fixed for
Page 68 and 69: 5 Command file: Reading the data 46
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6 Command file: Specifying the term
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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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9 Command file: Genetic analysisInt
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9 Command file: Genetic analysis 15
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10 Tabulation of the data andpredic
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10 Tabulation of the data and predi
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11 Functions of variancecomponentsI
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11 Functions of variance components
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11 Functions of variance components
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12 Command file: Running the jobInt
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12 Command file: Running the job 17
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13 Description of output filesIntro
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13 Description of output files 190A
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13 Description of output files 192i
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13 Description of output files 194f
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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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