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GENERATE MATRIXName:
The specified statistic should require exactly two response variables to compute. Examples include correlation and covariances, various distance measures, differences of location or scale statistics, and so on. Statistics that require a single response variable or more than two response variables will return an error. A number of supported statistics that require two response variables have the second variable as a group-id variable. Although this command will not generate a syntax error for these cases, the resulting statistics will not be meaningful.
<SUBSET/EXCEPT/FOR qualification> where <stat> is one of Dataplot's supported statistics that requires exactly two response variable; <var1> ... <vark> is a list of previously defined variables; <mat1> is a matrix where the resulting matrix is saved; and where the <SUBSET/EXCEPT/FOR qualification> is optional.
LET D = GENERATE MATRIX MANHATTAN DISTANCE Y1 Y2 Y3 Y4 Y5
set write decimals 3 dimension 100 columns . skip 25 read iris.dat y1 y2 y3 y4 skip 0 . . Step 2: Generate the matrix . let m = generate matrix correlation y1 y2 y3 y4 print m . let m = generate matrix euclidean distance y1 y2 y3 y4 print m . let m = generate matrix difference of means y1 y2 y3 y4 print mThe following output is generated MATRIX CORR -- 4 ROWS -- 4 COLUMNS VARIABLES--CORR1 CORR2 CORR3 CORR4 1.000 -0.118 0.850 0.691 -0.118 1.000 -0.472 -0.068 0.850 -0.472 1.000 0.712 0.691 -0.068 0.712 1.000 MATRIX D -- 4 ROWS -- 4 COLUMNS VARIABLES--D1 D2 D3 D4 0.000 36.158 35.262 61.489 36.158 0.000 30.185 29.383 35.262 30.185 0.000 37.665 61.489 29.383 37.665 0.000 MATRIX DIFF -- 4 ROWS -- 4 COLUMNS VARIABLES--DIFF1 DIFF2 DIFF3 DIFF4 0.000 2.786 2.419 4.977 -2.786 0.000 -0.367 2.191 -2.419 0.367 0.000 2.559 -4.977 -2.191 -2.559 0.000
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Date created: 08/31/2017 |