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If there are not enough pairs then drawing will occur only to the last pair. The array can contain any number of point pairs. The plotting will occur up to the last pair of points in the array. For example:
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data p;-100,100,200,100,200,200,100,200,100,100,120,-120 data p;-500,100,600,100,600,200,500,200,500,100,520,-120 //---- you can also use MRead to read data from a le MPolygon p //will draw the above and use default pen //color to do any lling MPolygon p,blue //will draw the above and use blue color //to do any lling
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C.7.4 ARRAY MATH COMMANDS MScale VarA,ExprN This will multiply each element in the array VarA by the result of the numeric expression ExprN. VarA must exist. Also, all the elements must be numeric. MConstant VarA,Expr his will ll each element in the array VarA with the result of the expression Expr. VarA must exist. Expr can be numeric or string. MDiagonal VarA,Expr This will ll all the diagonal elements in the array VarA with the result of the expression Expr. VarA must exist. Expr can be numeric or string. If Expr is numeric then all the other elements will be zero. If Expr is a string then all the other elements will be blank. VarA must be two-dimensional. MAdd VarA1,VarA2 This will add elements of VarA1 to VarA2. This is equivalent to saying VarA2 = VarA2+VarA1. VarA1 and VarA2 must exist and must be of the same dimension with the same dimensional constraints. If any element is a string and the corresponding element to be added is a numeric then the result will be a string concatenation of the string with the numeric converted to a string. If the elements to be added are both strings then the result is a concatenation. Remember it is VarA2+VarA1. If one element is an integer while the other is a oat then the result is a oat.
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MSub VarA1,VarA2 This will subtract the elements of VarA1 from VarA2. This is equivalent to saying VarA2 = VarA2 VarA1. VarA1 and VarA2 must exist and must be of the same dimension and of the same dimensional constraints. If any element is a string then no operation will take place. If one element is an integer while the other is a oat then the result is a oat. MMultiply VarA1,VarA2,VarA3 This will multiply VarA1 by VarA2 and put the result in VarA3. This is equivalent to saying VarA3 = VarA1 VarA2. The order is important VarA1 VarA2 is not equal to VarA2 VarA1. VarA3 does not have to exist, but if it does it will be erased and recreated. Both VarA1 and VarA2 must be twodimensional. The number of Columns of VarA1 must be the same as the number of rows of VarA2. That is if VarA1 has the dimension [R1,C1] and VarA2 has the dimension [R2,C2] then multiplication is possible only if C1=R2. The resulting array VarA3 will have the dimension [R1,C2]. Also, the elements of VarA1 and VarA2 must be numeric. MInvert VarA1,VarA2,Var This will calculate the inverse of array VarA1 and assign it to VarA2, and also the determinant of VarA1 will be assigned to Var. This is equivalent to saying VarA2 = inverse(VarA1) and Var = det(VarA1). VarA2 does not have to exist, but if it does it will be erased and recreated. VarA1 must be two-dimensional and a square matrix. That is, the number of rows must equal the number of columns. All elements in VarA1 must be numeric. If VarA1 is not invertible then Var = 0 and elements of VarA2 will be all zeros. MDeterminant VarA1,Var This will calculate the determinant of array VarA1 and put it in Var. This is equivalent to saying Var = det(VarA1). VarA1 must be two-dimensional and a square matrix. That is, the number of rows must equal the number of columns. All elements in VarA1 must be numeric. MTranspose VarA1,VarA2 This will transpose VarA1 and put the result in VarA2. VarA2 does not have to exist, but if it does it will be erased and recreated. VarA1 must be two-dimensional. VarA2 is the transpose of VarA1, that is, VarA2[i,j] = VarA1[j,i]. MRegression VarA,Var1,Var2 This will perform a regression analysis (line t) on the data in VarA. VarA must be two-dimensional and all data must be numeric. The rst row contains the x values, and the second row contains the y values. There must be a y value for each x value. The line formula is y=mx+b where m is the slope and b the y-axis intercept. Var1 will be assigned the slope. That is, Var1 = m. Var2 will be assigned the intercept. That is, Var2 = b. MSort VarA1{,ExprN} This will sort the array VarA. VarA can be one- or twodimensional. If VarA is two-dimensional then sorting will be done on the data in the row speci ed by ExprN. If ExprN is not speci ed then it will be done on the rst row (row 0). (Remember row and column numbering start with 0.) The data in the other rows will be moved around to maintain the same association between the rows. That is, the columns are moved to t in the correct sort order depending on the value in the row speci ed in
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