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Type 'q()' to quit R. > #### Experiment with spline code --- want to use > library(splines) ## for the splines > suppressMessages(library(cobs)) > > options(digits = 9) > if(!dev.interactive(orNone=TRUE)) pdf("spline-ex.pdf") > > ### -- 1) -- Look at `splines' pkg code : > data(women) > yw <- women$weight > xh <- women$height# == 58:72; too trivial; modify a bit: > ii <- c(2,5,9,11); xh[ii] <- xh[ii]+ 0.2 > ii <- c(3:4,8,13); xh[ii] <- xh[ii]+ 0.25 > (bIspl <- interpSpline( xh, yw, bSpl = TRUE)) bSpline representation of spline for yw ~ xh 54.75 55.95 57.00 58.00 59.20 60.25 61.25 NA NA NA NA 113.638072 115.089307 116.540542 62.20 63.00 64.00 65.25 66.20 67.00 68.20 119.984831 122.953207 125.659847 129.393071 132.490763 134.035450 138.946156 69.00 70.25 71.00 72.00 73.25 74.00 75.00 142.678498 144.712402 151.573711 151.891329 160.111134 164.353533 168.595932 > print.default(bIspl[1:3]) $knots [1] 54.75 55.95 57.00 58.00 59.20 60.25 61.25 62.20 63.00 64.00 65.25 66.20 [13] 67.00 68.20 69.00 70.25 71.00 72.00 73.25 74.00 75.00 $coefficients [1] 113.638072 115.089307 116.540542 119.984831 122.953207 125.659847 [7] 129.393071 132.490763 134.035450 138.946156 142.678498 144.712402 [13] 151.573711 151.891329 160.111134 164.353533 168.595932 $order [1] 4 > (pIspl <- interpSpline( xh, yw, bSpl = FALSE)) polynomial representation of spline for yw ~ xh constant linear quadratic cubic 58.00 115 1.33960132 0.00000000000 0.2271287121 59.20 117 2.32079736 0.81766336374 -0.2922458344 60.25 120 3.07128732 -0.10291101466 0.0316236905 61.25 123 2.96033637 -0.00803994325 0.2273643398 62.20 126 3.56064942 0.63994842511 -0.5040752565 63.00 129 3.61674241 -0.56983219041 -0.0469102214 64.00 132 2.33634737 -0.71056285462 0.6091879690 65.25 135 3.41550883 1.57389202895 -0.7758226553 66.20 139 4.30536385 -0.63720253866 -0.0712528430 67.00 142 3.14903433 -0.80820936194 0.8014932206 68.20 146 4.67178257 2.07716623225 -2.0836180627 69.00 150 3.99470187 -2.92351711832 1.8302045007 70.25 154 5.26499267 3.93974975945 -2.7611347908 71.00 159 6.51520235 -2.27280351988 0.7576011733 72.00 164 4.24239883 0.00000000000 0.0000000000 > p2Ispl <- polySpline(bIspl) > all.equal(pIspl, p2Ispl, tol = 1e-15)# TRUE [1] TRUE > ##--> could use polySpline() at end of interpSpline(.) > > > ### -- 2) --- substituting our .splBasis() by splines package splineDesign() -- > ### ======== > ### ---> done (in principle; not yet implemented!), Feb.2002 > splBasis <- cobs:::.splBasis > C_splBasis <- if(getRversion() >= "3.0.0") splines:::C_spline_basis else "spline_basis" > > str(splBasis(4, bIspl$knots, length(bIspl$coef) + 6, x = .5 + 57:72))# outside! List of 2 $ design : num [1:4, 1:16] 0.0188 0.503 0.4607 0.0175 0.04 ... $ offsets: int [1:16] 2 3 4 5 6 7 8 9 10 11 ... > xo <- 0.5 + 59:70 # should work up to ord = 5 > > ## ord <- 4 # cubic splines > ## ord <- 3 # quadratic splines > for(ord in 5:1) { + cat("\n\nord = ",ord,"\n========\n") + print(spB <- splBasis(ord, bIspl$knots, + length(bIspl$coef) + ord + 2, x = xo)) + ## Gives error for ord = 5:4 --- data must be INSIDE : + try( splineDesign(bIspl$knots, x = 0.5 + 57:72, ord = ord)) + str(spD <- splineDesign(bIspl$knots, x = xo, ord = ord)) + + ## splineDesign() contains: + tmp <- .Call(C_splBasis, bIspl$knots, ord=ord, + x = xo, derivs = integer(length(xo)), PACKAGE = "splines") + print(offs.tmp <- attr(tmp, "Offsets")) + attr(tmp, "Offsets") <- NULL + stopifnot(all.equal(tmp, spB$design, tol = 4e-16), + spB$offsets - offs.tmp == ord - 1) + } ord = 5 ======== $design [,1] [,2] [,3] [,4] [,5] [1,] 0.009583439816 0.011174263326 0.010286399760 0.004272043746 0.00336700337 [2,] 0.280435006587 0.296657516457 0.281745544903 0.252221462748 0.25986987360 [3,] 0.573664212402 0.576469363376 0.587416092679 0.611946455184 0.58503981930 [4,] 0.135987247669 0.115504606647 0.120338360470 0.131098972749 0.14955316485 [5,] 0.000330093526 0.000194250194 0.000213602187 0.000461065574 0.00217013889 [,6] [,7] [,8] [,9] [,10] [1,] 0.00922131148 0.008975029904 0.003720238095 0.00807438795 0.003720238095 [2,] 0.26415680887 0.247489106288 0.264754001883 0.25087436104 0.263186358207 [3,] 0.55841638723 0.598069153889 0.600681833468 0.59365435778 0.572303736049 [4,] 0.16640174062 0.145254314523 0.130397497982 0.14539368810 0.160325473628 [5,] 0.00180375180 0.000212395395 0.000446428571 0.00200320513 0.000464194022 [,11] [,12] [1,] 0.00938086304 0.003720238095 [2,] 0.24130176226 0.235158208020 [3,] 0.59605693702 0.603091675267 [4,] 0.15129965337 0.157765328354 [5,] 0.00196078431 0.000264550265 $offsets [1] 4 5 6 7 8 9 10 11 12 13 14 15 Error in splineDesign(bIspl$knots, x = 0.5 + 57:72, ord = ord) : the 'x' data must be in the range 59.2 to 71 unless you set 'outer.ok = TRUE' num [1:12, 1:16] 0.00958 0 0 0 0 ... [1] 0 1 2 3 4 5 6 7 8 9 10 11 ord = 4 ======== $design [,1] [,2] [,3] [,4] [,5] [1,] 0.05494505495 0.06332082552 0.0617183986 0.03246753247 0.0252525253 [2,] 0.57089252211 0.60408588701 0.5834609835 0.56006493506 0.5439642325 [3,] 0.36998123827 0.32967953456 0.3514029830 0.40131999148 0.4134221311 [4,] 0.00418118467 0.00291375291 0.0034176350 0.00614754098 0.0173611111 [,6] [,7] [,8] [,9] [,10] [1,] 0.0491803279 0.05128588517 0.02976190476 0.0484463277 0.02790178571 [2,] 0.5275242176 0.54714200273 0.58975988701 0.5262560533 0.55312541879 [3,] 0.4081439394 0.39838618117 0.37445142252 0.4092719780 0.41309300456 [4,] 0.0151515152 0.00318593093 0.00602678571 0.0160256410 0.00587979094 [,11] [,12] [1,] 0.0506566604 0.02976190476 [2,] 0.5334025730 0.52976190476 [3,] 0.3992740999 0.43650793651 [4,] 0.0166666667 0.00396825397 $offsets [1] 4 5 6 7 8 9 10 11 12 13 14 15 Error in splineDesign(bIspl$knots, x = 0.5 + 57:72, ord = ord) : the 'x' data must be in the range 58 to 72 unless you set 'outer.ok = TRUE' num [1:12, 1:17] 0 0 0 0 0 0 0 0 0 0 ... [1] 1 2 3 4 5 6 7 8 9 10 11 12 ord = 3 ======== $design [,1] [,2] [,3] [,4] [,5] [,6] [1,] 0.2380952381 0.2743902439 0.264507422 0.178571429 0.138888889 0.2000000000 [2,] 0.7200929152 0.6935584740 0.697898593 0.758928571 0.750000000 0.7090909091 [3,] 0.0418118467 0.0320512821 0.037593985 0.062500000 0.111111111 0.0909090909 [,7] [,8] [,9] [,10] [,11] [,12] [1,] 0.234449761 0.178571429 0.204166667 0.1562500000 0.219512195 0.1666666667 [2,] 0.727956254 0.765178571 0.691666667 0.7888719512 0.680487805 0.7857142857 [3,] 0.037593985 0.056250000 0.104166667 0.0548780488 0.100000000 0.0476190476 $offsets [1] 4 5 6 7 8 9 10 11 12 13 14 15 num [1:12, 1:18] 0 0 0 0 0 0 0 0 0 0 ... [1] 2 3 4 5 6 7 8 9 10 11 12 13 ord = 2 ======== $design [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [1,] 0.714285714 0.75 0.736842105 0.625 0.5 0.6 0.736842105 0.625 0.583333333 [2,] 0.285714286 0.25 0.263157895 0.375 0.5 0.4 0.263157895 0.375 0.416666667 [,10] [,11] [,12] [1,] 0.625 0.6 0.666666667 [2,] 0.375 0.4 0.333333333 $offsets [1] 4 5 6 7 8 9 10 11 12 13 14 15 num [1:12, 1:19] 0 0 0 0 0 0 0 0 0 0 ... [1] 3 4 5 6 7 8 9 10 11 12 13 14 ord = 1 ======== $design [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [1,] 1 1 1 1 1 1 1 1 1 1 1 1 $offsets [1] 4 5 6 7 8 9 10 11 12 13 14 15 num [1:12, 1:20] 0 0 0 0 0 0 0 0 0 0 ... [1] 4 5 6 7 8 9 10 11 12 13 14 15 > > > ### -- 3) --- substituting our cobs:::.splValue() by splines package predict.bSpline > ### ======== > ### ----------- STILL TODO !! ------------ > > ### ~/R/D/r-devel/R/src/library/splines/R/splineClasses.R has > ## predict.polySpline > ## predict.bSpline <- function(object, x, nseg = 50, deriv = 0, ...) > ## predict.nbSpline > ## predict.pbSpline ((all with the same argument list)) > ## predict.npolySpline > ## predict.ppolySpline > > ## Using bIspl , the interpolating B-spline from above > predict(bIspl, xo) $x [1] 59.5 60.5 61.5 62.5 63.5 64.5 65.5 66.5 67.5 68.5 69.5 70.5 $y [1] 117.761938 120.761884 123.743134 127.112180 130.660049 133.066681 [7] 135.940123 140.232337 143.472651 147.532222 151.495247 155.519340 attr(,"class") [1] "xyVector" > ## $x > ## [1] 59.5 60.5 61.5 62.5 63.5 64.5 65.5 66.5 67.5 68.5 69.5 70.5 > ## > ## $y > ## [1] 117.761938 120.761884 123.743134 127.112180 130.660049 133.066681 > ## [7] 135.940123 140.232337 143.472651 147.532222 151.495247 155.519340 > ## > ## attr(,"class") > ## [1] "xyVector" > > cobs:::.splValue(deg = 3, knots = bIspl$knots, coef = bIspl$coef, xo = xo) [1] 126.920915 130.191453 132.864449 136.009196 140.465290 143.459842 [7] 147.364414 151.539891 155.439793 161.684181 166.132561 174.635514 > ## hmm, not the same as $ y above ... > ## ... but this plot reveals "some parallelism": > plot(bIspl) > lines(predict(bIspl, xo), col=2, type = "o") > rug(xo) > lines(xo, cobs:::.splValue(deg = 3, knots = bIspl$knots, coef = bIspl$coef, xo = xo), + col=3, type = "o") > > > proc.time() user system elapsed 1.78 0.31 2.01