Matvec Users’ Guide

More documents

Recommendations

Info

108 CHAPTER 13. STATISTICAL DISTRIBUTIONS Col 1 Col 2 Col 3 Row 1 0.000100000 0.00997220 0.000469741 > D.cdf([0,10,100]) Col 1 Col 2 Col 3 Row 1 0.000100000 0.0441329 0.994276 > D.inv(0.5) ***ERROR*** NegativeBinomialDist::inv(): not available
Chapter 14 Exception Exceptions in Matvec 14.1 Error Handling Matvec does not handle errors very gracefully. You will be forced to quit Matvec if the number of errors reaches 15 in a session. After numerous errors, you may find that Matvec behaves unexpectedly, then you REALLY have to quit the current session immediately and restart it again. 14.2 Troubleshooting 14.2.1 Lack of memory Because Matvec allocate memory dynamically for each object. If you get a message saying “lack of memory”, then you have reached the maximum memory in your computer. 14.2.2 Intermediate files Matvec may automatically swap data from the computer memory to disk. These intermediate files are saved in the $(HOME)/.matvec directory with file names something like 798233981.2 where 798233981 is your computer system time when you launched Matvec, and 2 indicates that this is the second intermediate file since you launched Matvec. It is clear that you are safe to launch multiple Matvec sessions within the same directory as long as those sessions started at different time. All of these intermediate files are automatically deleted whenever Matvec is normally ended; otherwise you have to manually delete them. 14.2.3 Bugs • Whenever you get a message similar to “you have probably found a bug!”, report to Matvec maintainer with your script and data. • Whenever you suspect a bug, don’t report it until you can duplicate the bug. 14.2.4 EPSILON • if you get a message similar to ***ERROR*** SparseMatrix seems not positive (semi)definite: -3284690426.413546 109
Page 1 and 2:
Matvec Users’ Guide Version 1.03
Page 3 and 4:
ii
Page 5 and 6:
iv CONTENTS 3.3.1 Accessing element
Page 7 and 8:
vi CONTENTS 10.7 Variance Component
Page 9 and 10:
Chapter 1 A Tour of Matvec 1.1 Runn
Page 11 and 12:
1.5. GETTING ONLINE HELP 3 Example
Page 13 and 14:
1.8. VARIABLES, EXPRESSIONS, AND ST
Page 15 and 16:
1.9. INBREEDING COEFFICIENT COMPUTA
Page 17 and 18:
Chapter 2 Working on Objects Matvec
Page 19 and 20:
2.4. MATRIX OBJECT 11 Another metho
Page 21 and 22:
2.7. DATA OBJECT 13 2.6.3 inbcoef P
Page 23 and 24:
Chapter 3 Matrix Object Matrix comp
Page 25 and 26:
3.3. MANIPULATION 17 3.2.2 Relation
Page 27 and 28:
3.4. COMPUTATION 19 3.3.3 Selecting
Page 29 and 30:
3.4. COMPUTATION 21 This member fun
Page 31 and 32:
3.4. COMPUTATION 23 > A.fliplr() fl
Page 33 and 34:
3.4. COMPUTATION 25 max A.max() ret
Page 35 and 36:
3.4. COMPUTATION 27 reshape A.resha
Page 37 and 38:
3.4. COMPUTATION 29 sort If A is a
Page 39 and 40:
3.4. COMPUTATION 31 Col 1 Col 2 Col
Page 41 and 42:
3.5. SPECIAL MATRICES 33 Row 3 0 0
Page 43 and 44:
Chapter 4 Program Flow Control The
Page 45 and 46:
4.3. WHILE STATEMENT 37 that all th
Page 47 and 48:
Chapter 5 File Stream Control Matve
Page 49 and 50:
Chapter 6 Time Control Though I do
Page 51 and 52:
6.2. WESTERN CALENDAR 43 6.2 Wester
Page 53 and 54:
Chapter 7 User-Defined Function 7.1
Page 55 and 56:
Chapter 8 2D/3D Object-Oriented Plo
Page 57 and 58:
8.3. EXAMPLES 49 Figure 8.1: The cu
Page 59 and 60:
Chapter 9 Macro Packages A macro pa
Page 61 and 62:
9.1. DEMO PACKAGE 53 10: 2.20765 2.
Page 63 and 64:
9.3. SPECIAL MATRIX PACKAGE 55 i =
Page 65 and 66: 9.4. LINEAR PROGRAMMING PACKAGE 57
Page 67 and 68: Chapter 10 Linear Model Analyses 10
Page 69 and 70: 10.3. BEST LINEAR UNBIASED PREDICTI
Page 71 and 72: 10.3. BEST LINEAR UNBIASED PREDICTI
Page 73 and 74: 10.6. LEAST SQUARES MEANS (LSMEANS)
Page 75 and 76: 10.7. VARIANCE COMPONENTS ESTIMATIO
Page 77 and 78: Chapter 11 Generalized Linear Mixed
Page 79 and 80: 11.1. GENERALIZED LINEAR MODEL 71 T
Page 81 and 82: 11.1. GENERALIZED LINEAR MODEL 73 1
Page 83 and 84: 11.1. GENERALIZED LINEAR MODEL 75 T
Page 85 and 86: 11.1. GENERALIZED LINEAR MODEL 77 1
Page 87 and 88: 11.2. PENALIZED QUASI-LIKELIHOOD 79
Page 95 and 96: Chapter 12 Segregation and Linkage
Page 97 and 98: Chapter 13 Statistical Distribution
Page 99 and 100: 13.2. CONTINUOUS DISTRIBUTION 91 4.
Page 101 and 102: 13.2. CONTINUOUS DISTRIBUTION 93 Ex
Page 103 and 104: 13.2. CONTINUOUS DISTRIBUTION 95 13
Page 105 and 106: 13.2. CONTINUOUS DISTRIBUTION 97 Pr
Page 107 and 108: 13.2. CONTINUOUS DISTRIBUTION 99 Ex
Page 109 and 110: 13.2. CONTINUOUS DISTRIBUTION 101 M
Page 111 and 112: 13.3. DISCRETE DISTRIBUTION 103 Fig
Page 113 and 114: 13.3. DISCRETE DISTRIBUTION 105 Mat
Page 115: 13.3. DISCRETE DISTRIBUTION 107 13.
Page 119 and 120: Chapter 15 Matvec C++ API 15.1 An O
Page 121 and 122: Index *, 16 *=, 16 +, 16 ++, 16 +=,
Page 123 and 124: INDEX 115 leapyear, 43 least-square
Page 125: INDEX 117 t distribution, 95 cdf, 9
show all

Matvec Users’ Guide

Create successful ePaper yourself

Delete template?

Save as template?