Matvec Users’ Guide

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42 CHAPTER 6. TIME CONTROL 6.1.3 Gmtime gmtime() is the same as localtime() except for Greenwich mean time. So is gmtime(t). 6.1.4 Asctime asctime(tv) converts the time vector (tv) to a character string. It is a builtin function. For example, > asctime(localtime()) Sun Nov 6 14:16:34 1995 6.1.5 Difftime difftime(t1,t0) returns the difference in second between two times t1 and t0, where t1 and t0 must be values returned by time(). It is a builtin function. The following script times a loop using time() and difftime(): > # timing a loop using time() and difftime() > t0 = time(); > for (i=0; i t1 = time(); > difftime(t1,t0) 41 6.1.6 Mktime mktime(tv) converts the time vector, tv, to system calendar time. It is a builtin function. The following statement returns the system calendar time of the current local time vector: > mktime(localtime()) 8.15697e+08 6.1.7 Date date() is a macro function, equivalent to asctime(localtime()). For example > date() Sun Nov 6 14:24:50 1995 6.1.8 Ctime ctime(t) converts the calendar time represented by t to a string. It is a macro function, equivalent to asctime(localtime(t)). For example, > t = time(); > ctime(t) Sun Nov 6 14:30:13 1995 6.1.9 Clock clock() is a macro friend function, equivalent to localtime().
6.2. WESTERN CALENDAR 43 6.2 Western Calendar 6.2.1 Leap year leapyear(year) is a macro friend function. It returns 1 if the argument year is a leap year, otherwise return 0. For example, > # Is 1990 a leap year? > leapyear(1990) 0 > # Is 1996 a leap year? > leapyear(1996) 1
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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
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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: Chapter 6 Time Control Though I do
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Page 57 and 58: 8.3. EXAMPLES 49 Figure 8.1: The cu
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Page 61 and 62: 9.1. DEMO PACKAGE 53 10: 2.20765 2.
Page 63 and 64: 9.3. SPECIAL MATRIX PACKAGE 55 i =
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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
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13.2. CONTINUOUS DISTRIBUTION 93 Ex
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13.2. CONTINUOUS DISTRIBUTION 95 13
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13.2. CONTINUOUS DISTRIBUTION 97 Pr
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13.2. CONTINUOUS DISTRIBUTION 99 Ex
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13.2. CONTINUOUS DISTRIBUTION 101 M
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13.3. DISCRETE DISTRIBUTION 103 Fig
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13.3. DISCRETE DISTRIBUTION 105 Mat
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13.3. DISCRETE DISTRIBUTION 107 13.
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Chapter 14 Exception Exceptions in
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Chapter 15 Matvec C++ API 15.1 An O
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Index *, 16 *=, 16 +, 16 ++, 16 +=,
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INDEX 115 leapyear, 43 least-square
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INDEX 117 t distribution, 95 cdf, 9
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