Using JMP - SAS

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400 Formula Functions Reference Appendix B Transcendental Functions Squish Is an efficient computation of the function 1 / (1+e -x ), where x is any numeric column, variable, or expression. Root Calculates the root of its argument as specified by the index. Root initially shows with an index of 2. To change the index, highlight the index argument and enter the value that you want. Factorial Returns the product of all numbers 1 through the argument that you specify. For example, Factorial(5) evaluates as 120. NChooseK Returns the number of n things taken k at a time (n select k) and is computed in the standard way using factorials, as n! / (k!(n – k)!). For example, NChooseK(5,2) evaluates as 10. NChooseK Matrix Returns a matrix of n things taken k at a time (n select k) Beta Adds the two parameter Beta function and is written terms of the Gamma function as: Bmn) ( , ) = Γ( m)Γ( n) ------------------------ Γ( m + n) Gamma Adds the Gamma function, denoted Γ(i), and is defined as: ∞ Γ() i = ( x i – 1 )( e – x )dx 0 Gamma with a single argument is the same as Gamma(x, infinity). The optional second argument changes the upper integer from infinity to the value that you enter. Other interesting gamma function relationships are • for any α > 1, Γ(α) = (α–1) • Γ(α–1) • for any positive integer, n, Γ(n) = (n-1)! • Γ(0.5) = the square root of π
Appendix B Formula Functions Reference 401 Trigonometric Functions LGamma Is the natural log of the result of the gamma function evaluation. You get the same result using the Log (natural log) function with the Gamma function. However, the LGamma function computes more efficiently than do the Log (natural log) and the Gamma functions together. NChooseK is implemented using LGamma functions. The result is not always an exact integer. If the result is close to an integer, it is rounded up using the Floor function. Digamma The logarithmic derivative of the Gamma function. Trigamma The derivative of the Digamma function, or the logarithmic second derivative of the Gamma function. Arrhenius Calculates the non-specific component of the Arrhenius relationship that is then multiplied by the activation energy in the Arrhenius equation. Arrhenius Inv The inverse of the Arrhenius function: Logit ------------------------- 11605 T + 273.15 11605 -------------- y – 273.15 Applies the logit transformation to the argument using logit( x) Scheffe Cubic x = log---------- 1 – x Is used in fitting certain models. Scheffe Cubic (X1, X2) is equivalent to X1*X2*(X1-X2). Trigonometric Functions You can create a formula that supports transcendental functions, such as logarithmic functions for any base, functions for combinatorial calculations, the Beta function, and several gamma functions. See the Scripting Guide for details about syntax.
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Version 10 Using JMP “The real vo
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USE, DATA OR PROFITS, WHETHER IN AN
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6 Open Data Files . . . . . . . . .
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8 Delete All Row Characteristics .
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10 Order Expressions in Formulas .
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12 Change the Marker Drawing Mode a
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14 A Change Customization Sets . .
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Chapter 1 Learn About JMP Documenta
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Chapter 1 Learn About JMP 19 Book C
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Chapter 1 Learn About JMP 21 Book C
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Chapter 1 Learn About JMP 23 Additi
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Chapter 1 Learn About JMP 25 Additi
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Chapter 2 Get Started Introduction
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Chapter 2 Get Started 29 JMP Home W
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Chapter 2 Get Started 31 JMP Starte
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Chapter 2 Get Started 33 Data Table
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Chapter 2 Get Started 43 Open Data
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Chapter 2 Get Started 45 Display an
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Chapter 2 Get Started 47 Anatomy of
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Chapter 2 Get Started 49 Anatomy of
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Chapter 3 Import Your Data Create D
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Chapter 3 Import Your Data 53 About
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Chapter 3 Import Your Data 55 Impor
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Chapter 3 Import Your Data 97 Read
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Chapter 3 Import Your Data 99 Creat
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Chapter 4 Enter and Edit Data Perfo
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Chapter 5 Set Column Properties The
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Chapter 6 Reshape Data Create Subse
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Chapter 6 Reshape Data 167 Create a
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Chapter 6 Reshape Data 169 Create a
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Chapter 6 Reshape Data 171 Sort Dat
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Chapter 6 Reshape Data 173 Stack Co
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Chapter 6 Reshape Data 175 Stack Co
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Chapter 6 Reshape Data 177 Split Co
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Chapter 6 Reshape Data 179 Split Co
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Chapter 6 Reshape Data 181 Transpos
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Chapter 6 Reshape Data 183 Transpos
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Chapter 6 Reshape Data 185 Concaten
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Chapter 6 Reshape Data 187 Concaten
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Chapter 6 Reshape Data 189 Join Dat
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Chapter 6 Reshape Data 199 Update D
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Chapter 6 Reshape Data 201 Update D
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Chapter 7 Formula Editor Construct
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Chapter 7 Formula Editor 205 Create
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Chapter 7 Formula Editor 207 Use Lo
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Chapter 7 Formula Editor 209 Insert
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Chapter 7 Formula Editor 211 Use Fu
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Chapter 7 Formula Editor 213 Use Fu
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Chapter 7 Formula Editor 215 Order
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Chapter 7 Formula Editor 221 Custom
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Chapter 7 Formula Editor 227 Keyboa
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Chapter 7 Formula Editor 229 Glossa
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Chapter 8 Summarize Data The Summar
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Chapter 8 Summarize Data 241 Tabula
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Chapter 9 JMP Platforms Launch and
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Chapter 9 JMP Platforms 259 Launch
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Chapter 9 JMP Platforms 261 Navigat
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Chapter 9 JMP Platforms 263 Navigat
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Chapter 9 JMP Platforms 265 How to
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Chapter 9 JMP Platforms 267 How to
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Chapter 9 JMP Platforms 269 The Dat
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Chapter 9 JMP Platforms 279 Select
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Chapter 9 JMP Platforms 305 Add Gra
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Chapter 10 Save and Share Data Get
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Page 363 and 364: Chapter A JMP Preferences The Prefe
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Page 445 and 446: Index Using JMP Symbols ^. See inse
Page 447 and 448: Index 447 Coefficient of Variation
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Index 451 aggregate (SQL) 94 column
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Index 453 K creating from a report
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Index 455 Multiple Series Stack 174
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Index 457 quantile statistics 236 Q
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Index 459 Search/Find 115 using the
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Index 461 Trial1.jmp 192-193 Trial2
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