Download pdf guide - VSN International

10 Tabulation of the data and prediction from the model 168gain was assessed between 5 and 8 times in the various years. To obtain a measureof total productivity in terms of sheep liveweight, we need to weight the dailyper sheep figures by the number of sheep grazing days per month. To obtaintreatment effects for each year, the experimenter usedpredict year 1 crop 1 pasture lime !AVE month 56 55 56 53 57 63 6*0predict year 2 crop 1 pasture lime !AVE month 36 0 0 53 23 24 54 54 43 35 0 0predict year 3 crop 1 pasture lime !AVE month 70 0 21 17 0 0 0 70 0 0 53 0predict year 4 crop 1 pasture lime !AVE month 53 56 22 92 19 44 0 0 36 0 0 49predict year 5 crop 1 pasture lime !AVE month 0 22 0 53 70 22 0 51 16 51 0 0but then wanted to average over years as well. Both of the following predictstatements produce the required values.predict crop 1 pasture lime !PRES year month !PRWTS { 56 55 56 53 57 63 0 0 0,0 0 0 36 0 0 53 23 24 54 54 43 35 0 0 70 0 21 17 0 0 0 70 0 0 53 0 53,56 22 92 19 44 0 0 36 0 0 49 0 22 0 53 70 22 0 51 16 51 0 0}/5predict crop 1 pasture lime !PRES month year !PRWTS { 56 36 70 53 0,55 0 0 56 22 56 0 21 22 0 53 53 17 92 53 57 23 0 19 70 63 24 0 44 22,0 54 0 0 0 0 54 70 0 51 0 43 0 36 16 0 35 0 0 51 0 0 53 5*0 49 0}/5We have presented both sets of predict statements to show how the weights werederived and presented. Notice that the order in !PRESENT year month impliesthat the weight coefficients are presented in standard order with the levels formonths cycling within levels for years. There is a check which reports if non zeroweights are associated with cells that have no data. The weights are reported inthe .pvs file. !PRESENT counts are reported in the .res file.ExamplesExamples are as follows:yield ∼ mu variety !r replpredict varietyis used to predict variety means in the NIN field trial analysis. Random repl isignored in the prediction.yield ∼ mu x variety !r replpredict varietypredicts variety means at the average of x ignoring random repl.yield ∼ mu x variety replpredict variety x 2forms the hyper-table based on variety and repl at the covariate value of 2 and