As an ex-Hypercarder, my natural inclination for arrays is to use "item x of line y of myVar" style of arrays. Of course the myVar[x,y] is neater and allows more ready translation of Fortran code. So I have run some tests in Revolution rather than MC but I am assuming that the issues are intrinsic to MC. Repeat with i= 1 to 1000 put random(1000) into line i of myLines put line i of myLines into myArray[i] end repeat put the ticks into tix repeat with i=1 to 1000 put line random(1000) of myLines into line i of anotherLines end repeat put the ticks-tix into tixForLines put the ticks into tix repeat with i=1 to 1000 put myArray[random(1000)] into anotherArray[i] end repeat put the ticks-tix into tixForArrays The arrays are slower! Now increase all of the repeat limits to 10000 and the arrays become much faster than the lines. So, for computer-intensive data manipulation for statistical tests where computation time is a real limit, how can I decide when to go for arrays and when to go for lines? Is there a better way to handle the arrays that makes them faster in all circumstances? Michael J. Lew Senior Lecturer Department of Pharmacology The University of Melbourne Parkville 3010 Victoria Australia Phone +613 8344 8304 ** New email address: [EMAIL PROTECTED] ** Archives: http://www.mail-archive.com/metacard@lists.runrev.com/ Info: http://www.xworlds.com/metacard/mailinglist.htm Please send bug reports to <[EMAIL PROTECTED]>, not this list.
