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36 3 Syntax(5) * (star) defines factorial structures,(6) + (plus) adds terms into a formula, (minus)removes terms from a formula,/ (minus slash) removes higher-order terms(e.g. m -/ F removes any higher-order terminvolving F from the formula m),* (minus star) removes terms and higher-order terms(e.g. m -* F removes F and any higher-order terminvolving F from the formula m).Within each class, operations are done from left to right within the formula.There are also several functions that can be used to define contrasts like polynomials.These are explained in the Guide to the GenStat Command Language, Part 2 Statistics,Sections 3.4 and 4.5.
Page 7 and 8: 1.1 Menus and windows 3Figure 1.3Ot
Page 9 and 10: This opens the Working Directory me
Page 11 and 12: 1.1 Menus and windows 7Figure 1.11
Page 13 and 14: 1.1 Menus and windows 9Lower quarti
Page 15 and 16: to obtain some information about wh
Page 17 and 18: the help page about the command PRI
Page 19 and 20: 1.3 Commands 15Figure 1.26In GenSta
Page 22 and 23: 2 Data structuresIn this chapter yo
Page 24 and 25: 20 2 Data structuresThe factor Amou
Page 26 and 27: 22 2 Data structures2.3 Forming fac
Page 28 and 29: 24 2 Data structuresYou can filter
Page 30 and 31: 26 3 Syntaxaltogether; default labe
Page 32 and 33: 28 3 SyntaxString tokens can always
Page 34 and 35: 30 3 Syntax3.3 PracticalUse the VAR
Page 36 and 37: 32 3 SyntaxPRINT [SERIAL=no] branch
Page 38 and 39: 34 3 Syntaxplaces in the GenStat la
Page 43: 4.2 Practical 39NAME='C:/Program fi
Page 46 and 47: 42 4 Input and outputCELLRANGE='A2:
Page 48 and 49: 44 4 Input and output6.00 6.00 S ye
Page 50 and 51: 46 4 Input and outputThe PFIRST opt
Page 52 and 53: 48 5 Calculations and manipulationn
Page 54 and 55: 50 5 Calculations and manipulation3
Page 56 and 57: 52 5 Calculations and manipulationS
Page 58 and 59: 54 5 Calculations and manipulationo
Page 60 and 61: 56 5 Calculations and manipulationb
Page 62 and 63: 58 5 Calculations and manipulationc
Page 65 and 66: 6.1 Simple linear regression6.1 Sim
Page 67 and 68: 6.1 Simple linear regression 63prob
Page 69 and 70: 6.1 Simple linear regression 6525 9
Page 71 and 72: RCHECKThe resulting plots are in Fi
Page 73 and 74: 3 MODEL Water4 TERMS Employ,Opdays,
Page 75 and 76: 6.3 Multiple linear regression 71ar
Page 77 and 78: 6.4 Practical 7314 DROP [PRINT=accu
Page 79 and 80: The model checking plots producedby
Page 81 and 82: 6.5 Regression with groups 77in lin
Page 83 and 84: 6.5 Regression with groups 7972 0.6
Page 85 and 86: 6.6 Practical 81regression coeffici
Page 87 and 88: 7.1 Designs with a single error ter
Page 89 and 90: 7.1 Designs with a single error ter
Page 91 and 92:
7.1 Designs with a single error ter
Page 93 and 94:
7.3 Randomized-block designs 89thes
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7.4 Plots of residuals7.4 Plots of
Page 97 and 98:
In Figure 7.7, we have used the com
Page 99 and 100:
7.7 Split-plot designs 952 SPLOAD '
Page 101 and 102:
7.9 Other facilities for anova and
Page 103 and 104:
8.1 Commands from menus 99First we
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8.3 Commands to analyse a spreadshe
Page 107 and 108:
8.5 Repeating a sequence of command
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1 variate 17 Employ2 variate 17 Opd
Page 111 and 112:
9.3 Exit from a control structure 1
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9.5 Procedures 10917 FIELD=11,7,20;
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4041 FOR [NTIMES=Nvars; INDEX=i]42
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9.6 Practical 113with its default o
Page 119 and 120:
9.7 Other useful commands 115FAULTa
Page 121 and 122:
IndexA2WAY procedure 82Abbreviation
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Index 119Regressionassumption 66con
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