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*To*: asreml@chiswick.anprod.csiro.au*Subject*: Clarification of data transformations*From*: bsouthey@iastate.edu*Date*: Thu, 10 Feb 2000 10:28:18 CST*Sender*: asreml-owner@lamb.chiswick.anprod.csiro.au

Hi, I would like to recode a variable age at measurement such that the last level corresponds to ages 5+ to fit as a factor a model. Is this possible in ASREML without creating a special data set? I have been trying to use MIN transformations on page 21 of the Manual (dated February 8, 2000) says that the !MIN v takes minimum of v and the data value. However, page 58 Chapter 4 say: !MIN v is the minimum of the field and the value v (MAX(<field>,v)) My understanding is that ASREML recodes the levels based on the first value found and then applied these transformations. I.E. the first age of dam values in order found in the data set are: 4, 3, 5, 6 and 2 So ASREML creates the vector with values [4 3 5 6 2], !MIN 3 then creates the vector with values [4 3 5 5 5]. Thus, v refers to the index of the vector and not the value. MAX seems to do the same but I have yet to understand the SET transformation. Thanks in advance for any suggestions, Bruce The simple data I have been using: 1 3 4 12 1 4 3 12 1 4 5 13 1 4 6 14 2 2 2 13 2 3 3 12 2 4 4 14 2 4 5 12 2 4 6 11 3 2 2 11 3 3 3 12 3 4 4 12 3 4 5 13 3 4 6 15 The .as file: Test of coding animal tc !I code !I !MIN 3 y test.dat y ~ mu code The .asr file: ASREML [ 8 Feb 2000] Test of coding Thu Feb 10 10:16:00 2000 8.00 Mbyte Unix test Reading test.dat FREE FORMAT skipping 0 lines Univariate analysis of y Using 14 records [of 14 read from 14 lines of test.dat ] Model term Size Type COL Minimum Mean Maximum #zero #miss 1 animal 1 Covariat 1 1.000 2.071 3.000 0 0 2 tc 3 Factor 2 1 1.9286 3 0 0 3 code 3 Factor 3 1 2.3571 3 0 0 4 y 1 Variate 4 11.00 12.57 15.00 0 0 5 mu 1 Constant Term Forming 4 equations: 4 dense Initial updates will be shrunk by factor 0.548 NOTICE: 1 (more) singularities, LogL=-9.75614 S2= 1.4697 11 df 1.000 Final parameter values 1.0000 Source Model terms Gamma Component Comp/SE % C Variance 14 11 1.00000 1.46970 2.35 0 P Analysis of Variance DF F-incr F-adj StndErrDiff 5 mu 1 1505.46 327.51 3 code 2 0.43 0.43 0.8807 Solution Standard Error T-value T-prev 3 code 3 -0.666667 0.989847 -0.67 5 0.833333E-01 0.820738 0.10 0.91 5 mu 4 12.6667 0.699928 18.10 Finished: Thu Feb 10 10:16:02 2000 LogL Converged The .sln file: code 4 0.000 0.000 code 3 -0.6667 0.9898 code 5 0.8333E-01 0.8207 mu 1 12.67 0.6999 Residual 1 -0.6667 12.67 Residual 2 0.1776E-14 12.00 Residual 3 0.2500 12.75 Residual 4 1.250 12.75 Residual 5 0.2500 12.75 Residual 6 0.1776E-14 12.00 Residual 7 1.333 12.67 Residual 8 -0.7500 12.75 Residual 9 -1.750 12.75 Residual 10 -1.750 12.75 Residual 11 0.1776E-14 12.00 Residual 12 -0.6667 12.67 Residual 13 0.2500 12.75 Residual 14 2.250 12.75 -- Asreml mailinglist archive: http://www.chiswick.anprod.csiro.au/lists/asreml

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