Using JMP - SAS

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432 Formula Functions Reference Appendix B Random Functions Random Johnson Sb Returns a random number from the Johnson Sb distribution. Random Johnson Sl Returns a random number from the Johnson Sl distribution. Random Triangular Generates a triangular distribution of numbers between 0 and 1, with the midpoint that you enter as the function argument. You can add a constant to the function to shift the distribution and multiply to change its span. Random Integer Generates a uniform distribution of integers between 1 and the argument that you enter as n1, if nothing is entered for n2. If you enter both n1 and n2 (n1
Appendix B Formula Functions Reference 433 Random Functions Random Geometric Returns random numbers from the geometric distribution with the parameter that you enter as the function argument. The parameter, p, is the probability that a specific event occurs at any one trial. The number of trials until a specific event occurs for the first time is described by the geometric distribution. The mean of the geometric distribution is (1-p)/p, and the variance is (1 – p)/p 2 . Random Poisson Generates a Poisson variate based on the value of the parameter, lambda, you enter as the function argument. Lambda is often the expected number of events occurring per unit time or unit of area. Lambda is both the mean and the variance of the Poisson distribution. Random Gamma Poisson Returns random numbers from the gamma Poisson distribution with parameters lambda and sigma. Random Weibull Returns a random number from a Weibull distribution. Random Logistic Returns a random number from a logistic distribution with the location mu and scale sigma. Random Loglogistic Returns a random number from a loglogistic distribution with the location mu and scale sigma. Random Lognormal Returns a Lognormal-distributed random number with location parameter mu and scale sigma. Random GLog Returns random numbers from the generalized logarithm distribution with parameters mu, sigma, and lambda. When lambda is equal to zero, the function returns a lognormal(mu, sigma). Random Reset Restarts the random number sequences with a seed that you specify. Random LEV Returns a random number from an LEV distribution with the specified location mu and scale sigma. Random SEV Returns a random number from the smallest extreme distribution with the specified location mu and scale sigma.
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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 4 Enter and Edit Data 103 E
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Chapter 4 Enter and Edit Data 107 S
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Chapter 4 Enter and Edit Data 131 A
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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 217 Use Fo
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Chapter 7 Formula Editor 219 Edit F
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Chapter 7 Formula Editor 221 Custom
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Chapter 7 Formula Editor 223 Exampl
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Chapter 7 Formula Editor 225 Exampl
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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 233 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 281 Use Mar
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Chapter 9 JMP Platforms 287 Alter P
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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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Chapter 11 Personalize JMP Customiz
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Chapter 11 Personalize JMP 343 Pers
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Chapter 11 Personalize JMP 361 JMP
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Chapter A JMP Preferences The Prefe
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Appendix A JMP Preferences 365 Over
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Appendix A JMP Preferences 367 Gene
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Appendix A JMP Preferences 369 Repo
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Appendix A JMP Preferences 371 Grap
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Appendix A JMP Preferences 373 Tabl
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Appendix A JMP Preferences 375 Plat
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Appendix A JMP Preferences 377 Text
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Appendix A JMP Preferences 379 Wind
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Page 393 and 394: Appendix A JMP Preferences 393 Menu
Page 395 and 396: Appendix B Formula Functions Refere
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Page 445 and 446: Index Using JMP Symbols ^. See inse
Page 447 and 448: Index 447 Coefficient of Variation
Page 449 and 450: Index 449 diamond icon, on a report
Page 451 and 452: Index 451 aggregate (SQL) 94 column
Page 453 and 454: Index 453 K creating from a report
Page 455 and 456: Index 455 Multiple Series Stack 174
Page 457 and 458: Index 457 quantile statistics 236 Q
Page 459 and 460: Index 459 Search/Find 115 using the
Page 461 and 462: Index 461 Trial1.jmp 192-193 Trial2
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