ASReml-S reference manual - VSN International

7.3 Methods and related functions 747.3.5 predict.asremlUsagepredict(object, classify = list(), levels=list(), average=list(), present=list(), parallel=list(),except=list(), ignore=list(), use=list(), onlyuse=list(), aliased=list(), sed=list(), vcov=list())ValueAdds a list object, predictions, of length the number of predict tables to the asremlobject (see Chapter 8). Each element is a list with components:pvalssedvcovavseda dataframe of predicted values.optional matrix of standard errors of difference.optional matrix of variances of predicted values.summary standard error of difference.7.3.6 resid.asremlUsageresid(object, type = c(”deviance”, ”pearson”, ”working”, ”response”), spatial = c( ”trend”, ”plot”))Required argumentsobjectan asreml object.Optional argumentstypespatialValuetype of residuals, with choices deviance, pearson, working or response; devianceis the default.if a second independent error term has been fitted by including units in therandom formula, the residuals will have the unit BLUPs added if spatial =”plot”.the vector of residuals.7.3.7 summary.asremlUsagesummary(object, all = T)Required argumentsobjectan asreml object.Optional argumentsallValueif TRUE the residuals and coefficients from the fixed, random and absorbedfactors are included in the returned object.a list with the appropriate summary information. The components include call, distribution,link, loglik, nedf, sigma, deviance, variance heterogeneity, varcomp, coef.fixed ,coef.random, coef.sparse and residuals.Detailscalldistributionthe call to asreml().error distribution.