### tests methods argument of lmrob.control library(robustbase) data(stackloss) cat("doExtras:", doExtras <- robustbase:::doExtras(),"\n") str(ctrl2 <- lmrob.control(trace.lev = if(doExtras) 2 else 0)) ## S set.seed(0) summary(m0 <- lmrob(stack.loss ~ ., data = stackloss, method = "S", compute.outlier.stats = "S")) set.seed(0) m0a <- lmrob.S(m0$x, stack.loss, ctrl2) all.equal(m0 [c('coefficients', 'scale', 'rweights')], m0a[c('coefficients', 'scale', 'rweights')]) ## MM set.seed(0) summary(m1 <- lmrob(stack.loss ~ ., data = stackloss, method = "MM", compute.outlier.stats = "S")) set.seed(0) m2 <- update(m1, method = "SM") all.equal(m1[c('coefficients', 'scale', 'cov')], m2[c('coefficients', 'scale', 'cov')]) set.seed(0) m3 <- update(m0, method = "SM", cov = '.vcov.w') ## SMD set.seed(0) summary(m4 <- lmrob(stack.loss ~ ., data = stackloss, method = "SMD", psi = 'bisquare', compute.outlier.stats = "S")) summary(m4a <- lmrob..D..fit(m3)) ## rearrange m4a and update call m4a <- m4a[names(m4)] class(m4a) <- class(m4) m4a$call <- m4$call all.equal(m4, m4a, check.environment = FALSE) ## SMDM set.seed(0) summary(m5 <- lmrob(stack.loss ~ ., data = stackloss, method = "SMDM", psi = 'bisquare', compute.outlier.stats = "S")) summary(m5a <- lmrob..M..fit(obj=m4)) ## rearrange m5a m5a <- m5a[names(m5)] class(m5a) <- class(m5) all.equal(m5, m5a, check.environment = FALSE) #-> 3 string mismatch ## Fast S large n strategy (sped up) model <- model.frame(LNOx ~ . ,data = NOxEmissions) control <- lmrob.control(fast.s.large.n = 10, n.group = 341, groups = 2) set.seed(0) try(ret <- lmrob.S(model.matrix(model, NOxEmissions)[1:682,], NOxEmissions$LNOx[1:682], control)) ## do what the error says control <- lmrob.control(fast.s.large.n = Inf) try(ret <- lmrob.S(model.matrix(model, NOxEmissions)[1:682,], NOxEmissions$LNOx[1:682], control)) ##-> Error ...... DGEEQU: column 30 of the design matrix is exactly zero. ## ## still fails, but this error is to be expected since only a part ## of the design matrix is given