library(cpr) require(splines) ################################################################################ e <- new.env() with(e, { base_bs <- unclass(splines::bs(0:10, knots = c(2, 2.6, 7.8), Boundary.knots = c(0, 10.2), intercept = TRUE)) cpr_bspline <- unclass(bsplines(0:10, iknots = c(2, 2.6, 7.8), bknots = c(0, 10.2), order = 4)) base_bs |> tail() cpr_bspline |> tail() stopifnot("Equivalent Basis Matrix between cpr and splines::bs when all(x < max(bknots)" = isTRUE( all.equal(current = cpr_bspline, target = base_bs, check.attributes = FALSE) ) ) }) ################################################################################ # print.cpr_bs e <- new.env() with(e, { bmat <- bsplines(runif(n = 100, 1, 100), bknots = c(1, 100), df = 52) stopifnot(identical(bmat, print(bmat))) print_bmat <- capture.output(bmat) stopifnot(any(grepl("First\\s6\\srows:", print_bmat))) # default stopifnot(identical(print_bmat[1], "Basis matrix dims: [100 x 52]")) stopifnot(identical(print_bmat[2], "Order: 4")) stopifnot(identical(print_bmat[3], "Number of internal knots: 48")) stopifnot(identical(print_bmat[4], "")) stopifnot(identical(print_bmat[5], "First 6 rows:")) stopifnot(identical(print_bmat[6], "")) print_bmat <- capture.output(print(bmat, n = 1000)) stopifnot(!any(grepl("First\\s\\d+\\srows:", print_bmat))) print_bmat <- capture.output(print(bmat, n = 1001)) stopifnot(!any(grepl("First\\s\\d+\\srows:", print_bmat))) print_bmat <- capture.output(print(bmat, n = 10)) stopifnot(any(grepl("First\\s10\\srows:", print_bmat))) }) e <- new.env() with(e, { bmat <- bsplines(runif(n = 2, 1, 100), bknots = c(1, 100), df = 52) print_bmat <- capture.output(bmat) stopifnot(!any(grepl("First\\s\\d+\\srows:", print_bmat))) stopifnot(identical(print_bmat[1], "Basis matrix dims: [2 x 52]")) stopifnot(identical(print_bmat[2], "Order: 4")) stopifnot(identical(print_bmat[3], "Number of internal knots: 48")) stopifnot(identical(print_bmat[4], "")) }) ################################################################################ # Unsorted knots will result in an error e <- new.env() with(e, { xvec <- runif(n = 25, min = -1, max = 1) iknots <- c(0.34, -0.23) bknots = c(-1, 1) x <- tryCatch(bsplines(xvec, iknots = iknots, bknots = bknots), error = function(e) {e}) stopifnot(inherits(x, "simpleError")) stopifnot(identical(x$message, "Knots are not sorted.")) x <- tryCatch(bsplines(xvec, iknots = sort(iknots), bknots = bknots), error = function(e) {e}) stopifnot(inherits(x, "cpr_bs")) x <- tryCatch(bsplines(xvec, iknots = sort(iknots), bknots = bknots), error = function(e) {e}) stopifnot(inherits(x, "cpr_bs")) x <- tryCatch(bsplines(xvec, iknots = sort(iknots), bknots = c(-0.21, 1)), warning = function(w) {w}) stopifnot(inherits(x, "warning")) stopifnot(identical(x$message, "At least one x value < min(bknots)")) x <- tryCatch(bsplines(xvec, iknots = sort(iknots), bknots = c(-1, 0)), warning = function(w) {w}) stopifnot(inherits(x, "warning")) stopifnot(identical(x$message, "At least one x value >= max(bknots)")) }) ################################################################################ # Error if a list is passed to bsplines e <- new.env() with(e, { x <- tryCatch(bsplines(list(1:10)), error = function(e) { e }) stopifnot(inherits(x, "simpleError")) stopifnot("error if list passed to bsplines" = identical(x$message, "x is a list. Use btensor instead of bsplines.")) }) ################################################################################ # combinations of iknots and df are handled well e <- new.env() with(e, { xvec <- seq(-1, 1-1e-5, length = 25) bknots <- c(-1, 1) x <- tryCatch(bsplines(xvec, df = 2, bknots = bknots), warning = function(w) {w}) stopifnot(identical(class(x), c("simpleWarning", "warning", "condition"))) stopifnot(identical(x$message, "df being set to order")) x <- suppressWarnings(bsplines(xvec, df = 2, bknots = bknots)) y <- bsplines(xvec, df = 4, bknots = bknots) stopifnot(isTRUE(all.equal(x, y, check.attributes = FALSE))) x <- suppressWarnings(bsplines(xvec, df = 4, order = 5, bknots = bknots)) y <- bsplines(xvec, df = 5, order = 5, bknots = bknots) z <- bsplines(xvec, order = 5, bknots = bknots) stopifnot(isTRUE(all.equal(x, y, check.attributes = FALSE))) stopifnot(isTRUE(all.equal(x, z, check.attributes = FALSE))) x <- tryCatch(bsplines(xvec, iknots = 0.2, df = 6, bknots = bknots), warning = function(w) {w}) stopifnot(identical(class(x), c("simpleWarning", "warning", "condition"))) stopifnot(identical(x$message, "Both iknots and df defined, using iknots")) x <- suppressWarnings(bsplines(xvec, iknots = 0.2, df = 6, bknots = bknots)) y <- bsplines(xvec, iknots = 0.2, bknots = bknots) stopifnot(isTRUE(all.equal(x, y, check.attributes = FALSE))) x <- bsplines(xvec, df = 7, bknots = bknots) y <- bsplines(xvec, iknots = trimmed_quantile(xvec, probs = 1:3/4), bknots = bknots) stopifnot(isTRUE(all.equal(x, y, check.attributes = FALSE))) }) ################################################################################ # derivatives are as expected e <- new.env() with(e, { f0 <- function(x) { #(x + 2) * (x - 1) * (x - 3) x^3 - 2 * x^2 - 5 * x + 6 } f1 <- function(x) { 3 * x^2 - 4 * x - 5 } f2 <- function(x) { 6 * x - 4 } #x <- seq(-3, 5, length = 100) x <- sort(runif(n = 100, min = -3, max = 5)) bknots = c(-3, 5) bmat <- bsplines(x, bknots = bknots) theta <- coef(lm(f0(x) ~ bsplines(x, bknots = bknots) + 0) ) baseD1 <- splines::spline.des(c(-3, -3, -3, -3, 5, 5, 5, 5), x, derivs = rep(1, length(x)))$design cprD1 <- bsplineD(x, bknots = bknots, derivative = 1L) head(baseD1); head(cprD1) tail(baseD1); tail(cprD1) baseD2 <- splines::spline.des(c(-3, -3, -3, -3, 5, 5, 5, 5), x, derivs = rep(2, length(x)))$design cprD2 <- bsplineD(x, bknots = bknots, derivative = 2L) # verify that I can get cubic correct stopifnot(isTRUE(all.equal(f0(x), as.numeric(bmat %*% theta)))) # verify that I can get the first derivative correct -- this is different from # base R in that, by my construction, the derivative at the boundardy knots # should be NA, as the k-fold knots should result in no differentiability at # these points. stopifnot(isTRUE(all.equal(f1(x), as.numeric(cprD1 %*% theta)))) # verify that I can get the second derivative correct stopifnot(isTRUE(all.equal(f2(x), as.numeric(cprD2 %*% theta)))) if (interactive()) { par(mfrow = c(1, 3)) plot(x, f0(x), type = "l") points(x, bmat %*% theta, pch = 2, col = 'blue') plot(x, f1(x), type = "l") points(x, baseD1 %*% theta, pch = 16, col = 'red', cex = 0.7) points(x, cprD1 %*% theta, pch = 2, col = 'blue') plot(x, f2(x), type = "l") points(x, baseD2 %*% theta, pch = 16, col = 'red', cex = 0.7) points(x, cprD2 %*% theta, pch = 2, col = 'blue') } # another set of tests xvec <- seq(-1, 5, length = 100) iknots <- c(-0.8, 0.2, 2.3, 2.5) xi <- sort(c(rep(range(xvec), 4), iknots)) baseD1 <- spline.des(xi, xvec, derivs = rep(1, length(xvec)))$design baseD2 <- spline.des(xi, xvec, derivs = rep(2, length(xvec)))$design cprD1 <- bsplineD(xvec, iknots = iknots, derivative = 1L) cprD2 <- bsplineD(xvec, iknots = iknots, derivative = 2L) stopifnot(isTRUE( all.equal( cprD1[-100, ] , baseD1[-100, ] ) )) stopifnot(isTRUE( all.equal(cprD2[-100, ], baseD2[-100, ]))) x <- tryCatch(bsplineD(xvec, derivative = 1.5), error = function(e) {e}) stopifnot(identical(class(x), c("simpleError", "error", "condition"))) stopifnot(identical(x$message, "Only first and second derivatives are supported")) rm(x) x <- tryCatch(bsplineD(xvec, derivative = 3), error = function(e) {e}) stopifnot(identical(class(x), c("simpleError", "error", "condition"))) stopifnot(identical(x$message, "Only first and second derivatives are supported")) x <- tryCatch(bsplineD(xvec, order = 2, derivative = 2), error = function(e) {e}) stopifnot(identical(class(x), c("simpleError", "error", "condition"))) stopifnot(identical(x$message, "(order - 2) <= 0")) }) ################################################################################ # verify that order is an integer of at least 2 e <- new.env() with(e, { xvec <- runif(n = 100, min = -1, max = 5) bknots <- c(-1, 5) bmat <- tryCatch(bsplines(xvec, bknots = bknots, order = 1), error = function(e) e) bmatD1 <- tryCatch(bsplineD(xvec, bknots = bknots, order = 1, derivative = 1L), error = function(e) e) bmatD2 <- tryCatch(bsplineD(xvec, bknots = bknots, order = 1, derivative = 2L), error = function(e) e) stopifnot(inherits(bmat, "simpleError")) stopifnot(inherits(bmatD1, "simpleError")) stopifnot(inherits(bmatD2, "simpleError")) stopifnot(identical(bmat$message, "order needs to be an integer value >= 2.")) stopifnot(identical(bmatD1$message, "order needs to be an integer value >= 2.")) stopifnot(identical(bmatD2$message, "order needs to be an integer value >= 2.")) bmat <- tryCatch(bsplines(xvec, bknots = bknots, order = 1.9), error = function(e) e) stopifnot(inherits(bmat, "simpleError")) stopifnot(identical(bmat$message, "order needs to be an integer value >= 2.")) bmat <- tryCatch(bsplines(xvec, bknots = bknots, order = 2.9), error = function(e) e) stopifnot(inherits(bmat, "cpr_bs")) stopifnot(identical(attr(bmat, "order"), 2)) }) ################################################################################ # attributes of bsplines e <- new.env() with(e, { xvec <- runif(n = 100, min = -1, max = 5) iknots <- c(-0.8, 0.2, 2.3, 2.5) bknots <- c(-1.2, 5.2) bmat <- tryCatch(bsplines(xvec, iknots = iknots, bknots = bknots), error = function(e) e) stopifnot(inherits(bmat, "cpr_bs")) stopifnot(identical( names(attributes(bmat)) , c("dim", "order", "df", "iknots", "bknots", "xi", "xi_star", "class", "call", "environment") ) ) stopifnot(identical(attr(bmat, "dim"), c(100L, 8L))) stopifnot(identical(attr(bmat, "order"), 4)) stopifnot(identical(attr(bmat, "df"), 4 + length(iknots))) stopifnot(identical(attr(bmat, "iknots"), iknots)) stopifnot(identical(attr(bmat, "bknots"), bknots)) stopifnot(identical(attr(bmat, "xi"), sort(c(rep(bknots, 4), iknots)))) stopifnot(identical(attr(bmat, "derivative"), NULL)) }) ################################################################################ ## End of File ## ################################################################################