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Type 'q()' to quit R. > require(robustbase) Loading required package: robustbase > ## see also ./lmrob-psifns.R <<<<<<<< *and* ../misc/ > source(system.file("xtraR/plot-psiFun.R", package = "robustbase", mustWork=TRUE)) > > EQ <- function(x,y) all.equal(x,y, tolerance = 1e-13) > > ## Demonstrate that one of tukeyChi() / tukeyPsi1() is superfluous > x <- seq(-4,4, length=201) > suppressWarnings(## as tukeyPsi1(), tukeyChi() are deprecated + for(c. in c(0.1, 1:2, pi, 100)) { + ix <- abs(x) != c. + stopifnot(EQ(tukeyChi(x, c.), + 6/c.^2* tukeyPsi1(x, c., deriv=-1)), + EQ(tukeyChi(x, c., deriv= 1), + 6/c.^2* tukeyPsi1(x, c., deriv= 0)), + EQ(tukeyChi(x, c., deriv= 2), + 6/c.^2* tukeyPsi1(x, c., deriv= 1)), + ## Now show equivalence with Mpsi(): + EQ(tukeyPsi1(x, c.), Mpsi(x, c., "tukey")), + EQ(tukeyPsi1(x, c., d=1), Mpsi(x, c., "tukey", d=1)), + EQ(tukeyPsi1(x[ix], c., d=2), Mpsi(x[ix], c., "tukey", d=2)) + ) + } + ) > ## Test if default arguments are used > h2Psi <- chgDefaults(huberPsi, k = 2) > > x <- 1:10 > stopifnot(h2Psi@ rho(x, k=2) == h2Psi@ rho(x), + h2Psi@ psi(x, k=2) == h2Psi@ psi(x), + h2Psi@Dpsi(x, k=2) == h2Psi@Dpsi(x), + h2Psi@ wgt(x, k=2) == h2Psi@ wgt(x), + h2Psi@Dwgt(x, k=2) == h2Psi@Dwgt(x)) > > ## Test default arguments for E... slots > stopifnot(EQ(h2Psi@Erho (), 0.49423127328548), + EQ(h2Psi@Epsi2(), 0.920536925636323), + EQ(h2Psi@EDpsi(), 0.954499736103642)) > > stopifnot(EQ(1, huberPsi@psi(1, k = 1e16)), + huberPsi@wgt(0.1591319494080224, 0.5 + 1/13) <= 1) > ## both used to fail because of numeric instability in pmin2/pmax2 > > f1 <- function(.) rep.int(1, length(.)) > F1 <- function(x, .) rep.int(1, length(x)) > ## correct "classical psi": > cPs <- psiFunc(rho = function(x,.) x^2 / 2, psi = function(x, .) x, + wgt = F1, Dpsi = F1, Erho = function(.) rep.int(1/2, length(.)), + Epsi2 = f1, EDpsi = f1, . = Inf) > validObject(cPs); cPs [1] TRUE psi function > ## incorrect dummy psi > cP <- psiFunc(rho = F1, psi = F1, wgt = F1, Dpsi = F1, + Erho = f1, Epsi2 = f1, EDpsi = f1, . = Inf) > cP psi function > ## Check the autogenerated Dwgt(): > x <- seq(0,2, by=1/4) > stopifnot(## strict symmetry { including Dwgt(0) == 0 } : + huberPsi @Dwgt(-x) == -huberPsi @Dwgt(x), + hampelPsi@Dwgt(-x) == -hampelPsi@Dwgt(x), + huberPsi @Dwgt(x)[x < 1.345] == 0, + hampelPsi@Dwgt(x)[x < 1.487] == 0, + EQ(huberPsi @Dwgt(x[x >= 1.5]), + c(-0.597777777777778, -0.439183673469388, -0.33625)), + EQ(hampelPsi@Dwgt(x[x >= 1.5]), + c(-0.660883932259397, -0.485547378802822, -0.371747211895911)) + ) > > .defDwgt <- robustbase:::.defDwgt > (ddd <- .defDwgt(psi = function(u, k) pmin.int(k, pmax.int(-k, u)), + Dpsi = function(u, k) abs(u) <= k)) function (u, k) { y <- u u <- u[not0 <- u != 0] y[not0] <- (Dpsi(u, k) - psi(u, k)/u)/u y } > stopifnot(is.function(ddd), names(formals(ddd)) == c("u","k"), + EQ(ddd(x, 1.345), huberPsi@Dwgt(x))) > > ## TODO: Provide some functionality of this as a Plot+Check function > ## ---- and then call the function for all our psiFunc objects (with different 'k') > kk <- c(1.5, 3, 8) > psiH.38 <- chgDefaults(hampelPsi, k = kk) > c1 <- curve(psiH.38@psi(x), -10, 10, n=512, col=2) > abline(h=0, v=0, lty=3, lwd=.5, col="gray25") > c2 <- curve(x * psiH.38@wgt(x), add=TRUE, n=512, col=adjustcolor("blue", .5), lwd=2) > title("psi_Hampel_(1.5, 3, 8) : psi(x) = x * wgt(x)") > axis(1, at=kk, expression(k[1], k[2], k[3]), pos=0) > axis(2, at=kk[1], quote(k[1]), pos=0, las=1) > stopifnot(all.equal(c1,c2, tolerance= 1e-15)) > > r1 <- curve(psiH.38@rho(x), -10, 10, col=2, + main = quote(rho(x) == integral(phi(t) * dt, 0, x))) > axis(1, at=kk, expression(k[1], k[2], k[3]), pos=0) > curve(psiH.38@psi(x), add=TRUE, n=512, col=adjustcolor("blue", .5), lwd=2) > abline(h=0, v=0, lty=3, lwd=.5, col="gray25") > ## check rho(x) = \int_0^x psi(x) dx {slightly *more* than rho' = psi !} > rhoH.38.int <- function(x) integrate(function(u) psiH.38@psi(u), 0, x, rel.tol=1e-10)$value > r2 <- curve(sapply(x, rhoH.38.int), add = TRUE, + lwd=4, col=adjustcolor("red", 1/4)) > ## numerical integration == "formula" : > stopifnot(all.equal(r1,r2, tolerance=1e-10)) > > curve(psiH.38@Dpsi(x), -10, 10, n=512, col=2, + main = quote(psi*minute(x))) > abline(h=0, v=0, lty=3, lwd=.5, col="gray25") > > ## check rho'(x) = phi(x) etc {TODO: for all our psiFun.} > head(xx <- seq(-10, 10, length=1024)) [1] -10.000000 -9.980450 -9.960899 -9.941349 -9.921799 -9.902248 > FrhoH.38 <- splinefun(xx, rho.x <- psiH.38@rho (xx)) > FpsiH.38 <- splinefun(xx, psi.x <- psiH.38@psi (xx)) > F1psH.38 <- splinefun(xx, Dps.x <- psiH.38@Dpsi(xx)) > > curve(FpsiH.38(x, deriv=1), -10,10, n=512) > curve(F1psH.38, add=TRUE, col=4, n=512) > stopifnot(all.equal(FpsiH.38(xx, deriv=1), Dps.x, + tolerance = 0.02))# not better because of discontinuities > > curve(FrhoH.38(x, deriv=1), -10,10, n=512) > curve(FpsiH.38, add=TRUE, col=4, n=512) > stopifnot(all.equal(FrhoH.38(xx, deriv=1), psi.x, tolerance = 1e-4)) > > E.norm <- function(FUN, tol=1e-12, ...) { + integrate(function(x) FUN(x) * dnorm(x), -Inf, Inf, + rel.tol=tol, ...)$value + } > > ##' asymptotic efficiency -- both integrate + "formula"(@Epsi, @EDpsi) version > aeff.P <- function(psiF, k, ...) { + stopifnot(is(psiF, "psi_func")) + if(!missing(k)) + psiF <- chgDefaults(psiF, k = k) + ## E[ psi'(X) ] ^2 / E[ psi(X) ^ 2 ] : + c(int = E.norm(psiF@Dpsi, ...)^2 / E.norm(function(x) psiF@psi(x)^2, ...), + form= psiF@EDpsi()^2 / psiF@Epsi2()) + } > > > ## Breakdown Point --- for redescenders only, > ## both integrate + "formula"(@Erho) version > bp.P <- function(psiF, k, ...) { + stopifnot(is(psiF, "psi_func")) + if(!missing(k)) + psiF <- chgDefaults(psiF, k = k) + if(!is.finite( rhoInf <- psiF@rho(Inf) )) + stop("rho(Inf) is not finite: ", rhoInf) + integ <- function(x) psiF@rho(x) + c(int = E.norm(integ, ...), form= psiF@Erho()) / rhoInf + } > > ## Print & Check the result of aeff.P() or bp.P() > chkP <- function(rp, tol = 1e-9, ...) { + print(rp) + ae <- all.equal(target = rp[["form"]], + current = rp[["int"]], tolerance = tol, ...) + if(isTRUE(ae)) invisible(rp) else stop(ae) + } > > chkP(aeff.P(huberPsi)) int form 0.9500003 0.9500003 > chkP(aeff.P(huberPsi, k = 1.5)) int form 0.9642358 0.9642358 > chkP(aeff.P(huberPsi, k = 2)) int form 0.9897156 0.9897156 > chkP(aeff.P(huberPsi, k = 2.5)) int form 0.9977041 0.9977041 > > ## Now works too: > chkP(bp.P(hampelPsi)) int form 0.08615786 0.08615786 > chkP(bp.P(hampelPsi, k = c(1.5, 3, 8))) int form 0.06696027 0.06696027 > chkP(bp.P(hampelPsi, k = c(2, 4, 8))) int form 0.04942297 0.04942297 > > > ## test derivatives (adapted from ./lmrob-psifns.R) > head(x. <- seq(-5, 10, length=1501)) [1] -5.00 -4.99 -4.98 -4.97 -4.96 -4.95 > ## [separate lines, for interactive "play": ] > stopifnot(chkPsiDeriv(plot(huberPsi, x.))) > ## ToDo: improve accuracy of derivative check > stopifnot(chkPsiDeriv(plot(hampelPsi, x.), tol=c(1e-4, 1e-1))) > > > proc.time() user system elapsed 0.43 0.14 0.51