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Type 'q()' to quit R. > library(cluster) > options(digits = 6) > data(votes.repub) > > ## IGNORE_RDIFF_BEGIN > source(system.file("test-tools.R", package = "cluster"), keep.source = FALSE) Loading required package: tools doExtras <- cluster:::doExtras() : TRUE > ## IGNORE_RDIFF_END > ## -> showProc.time() ... & doExtras > > agn1 <- agnes(votes.repub, metric = "manhattan", stand = TRUE) > summary(agn1) Object of class 'agnes' from call: agnes(x = votes.repub, metric = "manhattan", stand = TRUE) Agglomerative coefficient: 0.797756 Order of objects: [1] Alabama Georgia Arkansas Louisiana Mississippi [6] South Carolina Alaska Vermont Arizona Montana [11] Nevada Colorado Idaho Wyoming Utah [16] California Oregon Washington Minnesota Connecticut [21] New York New Jersey Illinois Ohio Indiana [26] Michigan Pennsylvania New Hampshire Wisconsin Delaware [31] Kentucky Maryland Missouri New Mexico West Virginia [36] Iowa South Dakota North Dakota Kansas Nebraska [41] Maine Massachusetts Rhode Island Florida North Carolina [46] Tennessee Virginia Oklahoma Hawaii Texas Merge: [,1] [,2] [1,] -7 -32 [2,] -13 -35 [3,] -12 -50 [4,] 1 -30 [5,] 2 -14 [6,] -26 -28 [7,] -5 -37 [8,] -15 -41 [9,] -22 -38 [10,] -25 -31 [11,] 7 -47 [12,] -21 -39 [13,] -16 -27 [14,] 4 5 [15,] -42 -46 [16,] -20 10 [17,] 14 9 [18,] -3 6 [19,] -6 3 [20,] -33 15 [21,] 17 -29 [22,] -17 16 [23,] 8 -34 [24,] 21 -49 [25,] 22 -48 [26,] -8 25 [27,] 19 -44 [28,] 11 -23 [29,] 28 24 [30,] -11 -43 [31,] 18 27 [32,] 23 13 [33,] 29 26 [34,] 20 -36 [35,] -1 -10 [36,] 32 -19 [37,] 31 33 [38,] -9 34 [39,] 37 36 [40,] 35 -4 [41,] -2 -45 [42,] 40 -18 [43,] -24 -40 [44,] 39 12 [45,] 44 38 [46,] 41 45 [47,] 42 43 [48,] 46 30 [49,] 47 48 Height: [1] 27.36345 31.15453 35.61832 51.44421 35.69152 87.45523 31.58222 47.53682 [9] 16.34184 11.49397 22.11426 16.35662 10.46294 19.03961 28.41137 11.70132 [17] 12.72838 19.07671 20.90246 8.38200 11.10094 12.92659 9.23004 11.37867 [25] 15.97442 12.70819 16.91515 17.74499 24.83533 18.78225 17.03525 15.77893 [33] 12.71848 18.52818 30.74557 12.55524 17.14634 22.33846 12.80419 27.38835 [41] 37.23685 12.79160 38.76377 29.38432 16.63215 14.75762 25.59605 53.03627 [49] 21.07684 1225 dissimilarities, summarized : Min. 1st Qu. Median Mean 3rd Qu. Max. 8.38 25.54 34.51 45.06 56.02 167.60 Metric : manhattan Number of objects : 50 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" "data" > Dvr <- daisy(votes.repub) > agn2 <- agnes(Dvr, method = "complete") > summary(agn2) Object of class 'agnes' from call: agnes(x = Dvr, method = "complete") Agglomerative coefficient: 0.88084 Order of objects: [1] Alabama Georgia Louisiana Arkansas Florida [6] Texas Mississippi South Carolina Alaska Michigan [11] Connecticut New York New Hampshire Indiana Ohio [16] Illinois New Jersey Pennsylvania Minnesota North Dakota [21] Wisconsin Iowa South Dakota Kansas Nebraska [26] Arizona Nevada Montana Oklahoma Colorado [31] Idaho Wyoming Utah California Oregon [36] Washington Missouri New Mexico West Virginia Delaware [41] Kentucky Maryland North Carolina Tennessee Virginia [46] Hawaii Maine Massachusetts Rhode Island Vermont Merge: [,1] [,2] [1,] -12 -50 [2,] -7 -32 [3,] -14 -35 [4,] -13 -30 [5,] -25 -31 [6,] -37 -47 [7,] -21 -39 [8,] -3 -28 [9,] 4 -38 [10,] -16 -27 [11,] -15 -41 [12,] 8 -26 [13,] -2 -22 [14,] -33 -42 [15,] 14 -46 [16,] 1 -44 [17,] -11 -19 [18,] 2 -29 [19,] -5 6 [20,] -17 -20 [21,] -34 -49 [22,] 5 -48 [23,] 18 3 [24,] 11 10 [25,] 23 9 [26,] -23 21 [27,] -8 20 [28,] 12 -36 [29,] -6 16 [30,] 13 25 [31,] 28 29 [32,] -1 -10 [33,] 19 22 [34,] 17 7 [35,] -4 -9 [36,] 30 26 [37,] 35 -43 [38,] 32 -18 [39,] -24 -40 [40,] 36 24 [41,] 27 15 [42,] 31 33 [43,] 38 37 [44,] 40 42 [45,] 34 -45 [46,] 43 39 [47,] 44 41 [48,] 47 45 [49,] 46 48 Height: [1] 48.2397 60.8984 72.9221 56.1363 58.8227 116.7048 63.0951 281.9508 [9] 28.1437 47.1690 19.4218 32.9438 36.7643 20.2258 39.1728 20.8792 [17] 25.3229 56.3813 42.2230 33.6978 64.5254 26.1547 37.4564 25.9221 [25] 80.4894 23.4206 27.8273 43.4492 48.0483 43.7055 17.1992 31.1988 [33] 70.4868 33.2328 22.1831 54.3057 21.1413 35.1129 121.4022 43.3829 [41] 33.4744 66.7591 29.5099 30.1541 178.4119 32.7611 55.3633 22.6334 [49] 83.1040 1225 dissimilarities, summarized : Min. 1st Qu. Median Mean 3rd Qu. Max. 17.2 48.3 64.7 82.2 105.5 282.0 Metric : euclidean Number of objects : 50 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" > ## almost same: > (ag2. <- agnes(Dvr, method= "complete", keep.diss=FALSE)) Call: agnes(x = Dvr, method = "complete", keep.diss = FALSE) Agglomerative coefficient: 0.88084 Order of objects: [1] Alabama Georgia Louisiana Arkansas Florida [6] Texas Mississippi South Carolina Alaska Michigan [11] Connecticut New York New Hampshire Indiana Ohio [16] Illinois New Jersey Pennsylvania Minnesota North Dakota [21] Wisconsin Iowa South Dakota Kansas Nebraska [26] Arizona Nevada Montana Oklahoma Colorado [31] Idaho Wyoming Utah California Oregon [36] Washington Missouri New Mexico West Virginia Delaware [41] Kentucky Maryland North Carolina Tennessee Virginia [46] Hawaii Maine Massachusetts Rhode Island Vermont Height (summary): Min. 1st Qu. Median Mean 3rd Qu. Max. 17.2 28.1 39.2 52.3 58.8 282.0 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" > ag22 <- agnes(votes.repub, method= "complete", keep.diss=FALSE,keep.data=FALSE) > stopifnot(identical(agn2[-5:-6], ag2.[-5:-6]), + identical(Dvr, daisy(votes.repub)), # DUP=FALSE (!) + identical(ag2.[-6], ag22[-6]) + ) > > data(agriculture) > summary(agnes(agriculture)) Object of class 'agnes' from call: agnes(x = agriculture) Agglomerative coefficient: 0.781893 Order of objects: [1] B NL D F UK DK L I GR P E IRL Merge: [,1] [,2] [1,] -1 -10 [2,] -2 -9 [3,] 1 -3 [4,] 3 -6 [5,] -5 -7 [6,] 4 -12 [7,] 6 2 [8,] -4 -11 [9,] 7 -8 [10,] 8 5 [11,] 9 10 Height: [1] 1.64924 2.24836 2.76918 4.02677 4.78835 2.22036 5.29409 14.77963 [9] 5.16236 8.55075 3.14006 66 dissimilarities, summarized : Min. 1st Qu. Median Mean 3rd Qu. Max. 1.65 4.36 7.99 9.59 13.25 24.04 Metric : euclidean Number of objects : 12 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" "data" > > data(ruspini) > summary(ar0 <- agnes(ruspini, keep.diss=FALSE, keep.data=FALSE)) Object of class 'agnes' from call: agnes(x = ruspini, keep.diss = FALSE, keep.data = FALSE) Agglomerative coefficient: 0.947954 Order of objects: [1] 1 2 3 5 4 6 8 7 9 10 14 15 17 16 18 19 11 12 13 20 61 62 66 63 64 [26] 68 65 67 69 70 71 72 75 73 74 21 22 23 24 27 28 29 30 25 26 32 35 31 36 39 [51] 40 33 34 37 38 41 42 43 44 45 49 51 53 50 54 52 55 56 57 59 60 58 46 47 48 Merge: [,1] [,2] [1,] -18 -19 [2,] -55 -56 [3,] -27 -28 [4,] -49 -51 [5,] -33 -34 [6,] -23 -24 [7,] -67 -69 [8,] -59 -60 [9,] -29 -30 [10,] -36 -39 [11,] -32 -35 [12,] -50 -54 [13,] -25 -26 [14,] -16 1 [15,] -70 -71 [16,] -64 -68 [17,] -37 -38 [18,] 12 -52 [19,] -62 -66 [20,] -12 -13 [21,] -9 -10 [22,] -42 -43 [23,] -15 -17 [24,] -47 -48 [25,] -21 -22 [26,] 7 15 [27,] 2 -57 [28,] 4 -53 [29,] 10 -40 [30,] 3 9 [31,] -73 -74 [32,] -72 -75 [33,] -11 20 [34,] 13 11 [35,] -6 -8 [36,] -14 23 [37,] -2 -3 [38,] -65 26 [39,] 5 17 [40,] 25 6 [41,] 36 14 [42,] 34 -31 [43,] -4 35 [44,] 28 18 [45,] 27 8 [46,] 19 -63 [47,] -46 24 [48,] -1 37 [49,] 16 38 [50,] 40 30 [51,] 42 29 [52,] 33 -20 [53,] 49 32 [54,] 51 39 [55,] 21 41 [56,] 48 -5 [57,] 45 -58 [58,] 53 31 [59,] 43 -7 [60,] 50 54 [61,] 44 57 [62,] -41 22 [63,] -61 46 [64,] 55 52 [65,] 63 58 [66,] -44 -45 [67,] 59 64 [68,] 56 67 [69,] 66 61 [70,] 60 62 [71,] 69 47 [72,] 70 71 [73,] 68 65 [74,] 73 72 Height: [1] 9.26758 6.40312 12.13789 22.37868 7.63441 6.32456 14.58991 [8] 21.63544 4.12311 12.07902 6.36396 4.24264 7.23741 3.56155 [15] 1.41421 16.38921 5.85486 4.12311 10.69547 67.75052 15.48443 [22] 4.12311 8.94386 17.00500 3.60555 9.53375 6.46443 2.82843 [29] 4.48680 3.60555 10.91541 5.83095 14.34411 5.65685 101.14200 [36] 4.47214 6.98022 2.23607 9.56136 2.00000 5.61339 2.82843 [43] 14.95692 3.16228 6.19728 3.00000 7.28356 9.97147 3.00000 [50] 5.47542 11.07404 2.23607 6.60456 3.60555 24.90532 15.45463 [57] 4.24264 64.42555 17.02939 22.56493 2.23607 5.22383 8.28122 [64] 3.16228 3.81721 15.20808 2.00000 5.19258 8.51123 2.82843 [71] 12.62990 34.72475 9.14005 4.47214 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" > summary(ar1 <- agnes(ruspini, metric = "manhattan")) Object of class 'agnes' from call: agnes(x = ruspini, metric = "manhattan") Agglomerative coefficient: 0.946667 Order of objects: [1] 1 2 3 5 4 6 8 7 9 10 14 16 18 19 15 17 11 12 13 20 61 62 66 63 73 [26] 74 64 68 65 67 69 70 71 72 75 21 22 23 24 27 28 29 30 25 26 32 35 31 36 39 [51] 40 33 34 37 38 41 42 43 44 45 49 51 53 50 54 52 55 56 57 59 60 58 46 47 48 Merge: [,1] [,2] [1,] -55 -56 [2,] -27 -28 [3,] -18 -19 [4,] -49 -51 [5,] -36 -39 [6,] -33 -34 [7,] -32 -35 [8,] -23 -24 [9,] -67 -69 [10,] -59 -60 [11,] -50 -54 [12,] -29 -30 [13,] -25 -26 [14,] -16 3 [15,] -70 -71 [16,] -64 -68 [17,] -62 -66 [18,] 11 -52 [19,] -37 -38 [20,] -12 -13 [21,] -9 -10 [22,] 9 15 [23,] 1 -57 [24,] -47 -48 [25,] -42 -43 [26,] -21 -22 [27,] -15 -17 [28,] 4 -53 [29,] 2 12 [30,] 5 -40 [31,] 6 19 [32,] 13 7 [33,] -11 20 [34,] -73 -74 [35,] -72 -75 [36,] -6 -8 [37,] -65 22 [38,] -14 14 [39,] -2 -3 [40,] 32 -31 [41,] 38 27 [42,] 26 8 [43,] 28 18 [44,] -46 24 [45,] -4 36 [46,] 23 10 [47,] -1 39 [48,] 42 29 [49,] 33 -20 [50,] 37 35 [51,] 40 30 [52,] 17 -63 [53,] 16 50 [54,] 51 31 [55,] 46 -58 [56,] 21 41 [57,] 47 -5 [58,] 45 -7 [59,] 52 34 [60,] -44 -45 [61,] 48 54 [62,] 43 55 [63,] 59 53 [64,] 56 49 [65,] -41 25 [66,] -61 63 [67,] 57 58 [68,] 67 64 [69,] 60 62 [70,] 61 65 [71,] 69 44 [72,] 70 71 [73,] 68 66 [74,] 73 72 Height: [1] 11.50000 9.00000 16.00000 26.25000 10.00000 8.00000 16.66667 [8] 28.70833 5.00000 15.50000 8.66667 4.00000 2.00000 9.25000 [15] 6.00000 20.50000 7.50000 5.00000 12.33333 94.33333 22.78571 [22] 5.00000 12.50000 18.00000 8.00000 20.20000 5.00000 13.78571 [29] 8.25000 4.00000 5.50000 5.00000 12.40000 8.00000 125.71357 [36] 6.00000 9.50000 3.00000 11.87500 2.00000 7.00000 4.00000 [43] 18.72917 4.00000 7.50000 3.00000 9.25000 12.40000 3.00000 [50] 7.50000 14.43750 3.00000 7.50000 5.00000 32.38333 21.00000 [57] 6.00000 85.49616 18.00000 28.75000 3.00000 6.50000 9.55556 [64] 4.00000 5.00000 19.61111 2.00000 6.00000 11.00000 4.00000 [71] 15.40000 47.02381 10.00000 6.00000 2775 dissimilarities, summarized : Min. 1st Qu. Median Mean 3rd Qu. Max. 2.0 52.5 97.0 91.0 128.0 187.0 Metric : manhattan Number of objects : 75 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" "data" > str(ar1) List of 9 $ order : int [1:75] 1 2 3 5 4 6 8 7 9 10 ... $ height : num [1:74] 11.5 9 16 26.2 10 ... $ ac : num 0.947 $ merge : int [1:74, 1:2] -55 -27 -18 -49 -36 -33 -32 -23 -67 -59 ... $ diss : 'dissimilarity' num [1:2775] 11 12 29 13 25 43 33 22 27 39 ... ..- attr(*, "Size")= int 75 ..- attr(*, "Metric")= chr "manhattan" ..- attr(*, "Labels")= chr [1:75] "1" "2" "3" "4" ... $ call : language agnes(x = ruspini, metric = "manhattan") $ method : chr "average" $ order.lab: chr [1:75] "1" "2" "3" "5" ... $ data : num [1:75, 1:2] 4 5 10 9 13 13 12 15 18 19 ... ..- attr(*, "dimnames")=List of 2 .. ..$ : chr [1:75] "1" "2" "3" "4" ... .. ..$ : chr [1:2] "x" "y" - attr(*, "class")= chr [1:2] "agnes" "twins" > > showProc.time() Time (user system elapsed): 0.602 0.061 0.667 > > summary(ar2 <- agnes(ruspini, metric="manhattan", method = "weighted")) Object of class 'agnes' from call: agnes(x = ruspini, metric = "manhattan", method = "weighted") Agglomerative coefficient: 0.942387 Order of objects: [1] 1 2 3 5 9 10 14 16 18 19 15 17 4 6 8 7 11 12 13 20 61 64 68 65 67 [26] 69 70 71 62 66 63 72 75 73 74 21 22 23 24 27 28 29 30 25 26 32 35 31 36 39 [51] 40 33 34 37 38 41 42 43 44 45 49 51 53 50 54 52 55 56 57 59 60 58 46 47 48 Merge: [,1] [,2] [1,] -55 -56 [2,] -27 -28 [3,] -18 -19 [4,] -49 -51 [5,] -36 -39 [6,] -33 -34 [7,] -32 -35 [8,] -23 -24 [9,] -67 -69 [10,] -59 -60 [11,] -50 -54 [12,] -29 -30 [13,] -25 -26 [14,] -16 3 [15,] -70 -71 [16,] -64 -68 [17,] -62 -66 [18,] 11 -52 [19,] -37 -38 [20,] -12 -13 [21,] -9 -10 [22,] 9 15 [23,] 1 -57 [24,] -47 -48 [25,] -42 -43 [26,] -21 -22 [27,] -15 -17 [28,] 4 -53 [29,] 2 12 [30,] 5 -40 [31,] 6 19 [32,] 13 7 [33,] -11 20 [34,] -73 -74 [35,] -72 -75 [36,] -14 14 [37,] -6 -8 [38,] -65 22 [39,] 36 27 [40,] -2 -3 [41,] 32 -31 [42,] 28 18 [43,] 26 8 [44,] -46 24 [45,] -4 37 [46,] 23 10 [47,] -1 40 [48,] 16 38 [49,] 43 29 [50,] 17 -63 [51,] 41 30 [52,] 33 -20 [53,] 35 34 [54,] 46 -58 [55,] 47 -5 [56,] 51 31 [57,] 21 39 [58,] 45 -7 [59,] -44 -45 [60,] -61 48 [61,] 42 54 [62,] 49 56 [63,] -41 25 [64,] 55 57 [65,] 60 50 [66,] 65 53 [67,] 58 52 [68,] 59 61 [69,] 64 67 [70,] 62 63 [71,] 68 44 [72,] 70 71 [73,] 69 66 [74,] 73 72 Height: [1] 11.5000 9.0000 15.2500 21.7734 5.0000 15.8750 8.0000 4.0000 [9] 2.0000 9.0000 6.0000 32.1172 10.0000 8.0000 16.0000 27.9062 [17] 7.5000 5.0000 13.2500 97.9766 18.3125 5.0000 11.8750 8.2500 [25] 4.0000 5.5000 5.0000 22.3438 5.0000 12.5000 23.7812 8.0000 [33] 14.5000 8.0000 114.9764 6.0000 9.5000 3.0000 11.8750 2.0000 [41] 7.0000 4.0000 20.2031 4.0000 7.5000 3.0000 9.2500 12.6250 [49] 3.0000 7.5000 15.6875 3.0000 7.5000 5.0000 33.5469 21.0000 [57] 6.0000 69.4453 18.0000 28.4375 3.0000 6.5000 9.5000 4.0000 [65] 5.0000 19.1250 2.0000 6.0000 10.5000 4.0000 15.0000 41.5312 [73] 10.0000 6.0000 2775 dissimilarities, summarized : Min. 1st Qu. Median Mean 3rd Qu. Max. 2.0 52.5 97.0 91.0 128.0 187.0 Metric : manhattan Number of objects : 75 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" "data" > print (ar3 <- agnes(ruspini, metric="manhattan", method = "flexible", + par.meth = 0.5)) Call: agnes(x = ruspini, metric = "manhattan", method = "flexible", par.method = 0.5) Agglomerative coefficient: 0.942387 Order of objects: [1] 1 2 3 5 9 10 14 16 18 19 15 17 4 6 8 7 11 12 13 20 61 64 68 65 67 [26] 69 70 71 62 66 63 72 75 73 74 21 22 23 24 27 28 29 30 25 26 32 35 31 36 39 [51] 40 33 34 37 38 41 42 43 44 45 49 51 53 50 54 52 55 56 57 59 60 58 46 47 48 Height (summary): Min. 1st Qu. Median Mean 3rd Qu. Max. 2.00 5.00 8.12 14.22 15.58 114.98 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" "data" > stopifnot(all.equal(ar2[1:4], ar3[1:4], tol=1e-12)) > > showProc.time() Time (user system elapsed): 0.003 0.001 0.004 > > ## Small example, testing "flexible" vs "single" > i8 <- -c(1:2, 9:10) > dim(agr8 <- agriculture[i8, ]) [1] 8 2 > i5 <- -c(1:2, 8:12) > dim(agr5 <- agriculture[i5, ]) [1] 5 2 > > ##' Check equivalence of method "flexible" (par=...) with one > ##' of ("single", "complete", "weighted") > chk <- function(d, method=c("single", "complete", "weighted"), + trace.lev = 1, + iC = -(6:7), # <- not using 'call' and 'method' for comparisons + doplot = FALSE, tol = 1e-12) + { + if(!inherits(d, "dist")) d <- daisy(d, "manhattan") + method <- match.arg(method) + par.meth <- list("single" = c(.5, .5, 0, -.5), + "complete"= c(.5, .5, 0, +.5), + "weighted"= c(0.5)) + a.s <- agnes(d, method=method, trace.lev=trace.lev) + ## From theory, this should give the same, but it does not --- why ??? + a.f <- agnes(d, method="flex", par.method = par.meth[[method]], trace.lev=trace.lev) + + if(doplot) { + op <- par(mfrow = c(2,2), mgp = c(1.6, 0.6, 0), mar = .1 + c(4,4,2,1)) + on.exit(par(op)) + plot(a.s) + plot(a.f) + } + structure(all.equal(a.s[iC], a.f[iC], tolerance = tol), + fits = list(s = a.s, f = a.f)) + } > > chk(agr5, trace = 3) C agnes(n=5, method = 2, ..): 4 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; -> (-1,-4); last=4; upd(n,b); old D(A, j), D(B, j), j=2 = (31.5,28.1); new D(A', 2) = 28.1 old D(A, j), D(B, j), j=3 = (14.7,11.3); new D(A', 3) = 11.3 old D(A, j), D(B, j), j=5 = (18.3,14.9); new D(A', 5) = 14.9 --> size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; -> (-3,-5); last=5; old D(A, j), D(B, j), j=1 = (11.3,14.9); new D(A', 1) = 11.3 old D(A, j), D(B, j), j=2 = (16.8,13.2); new D(A', 2) = 13.2 --> size(A_new)= 2 nmerge=2, j=2, d_min = D(1,3) = 11.3000; -> (1,2); last=4; upd(n,b); old D(A, j), D(B, j), j=2 = (28.1,13.2); new D(A', 2) = 13.2 --> size(A_new)= 4 nmerge=3, j=2, d_min = D(1,2) = 13.2000; -> (3,-2); last=5; --> size(A_new)= 5 C agnes(n=5, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,-0.5); 4 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; -> (-1,-4); last=4; upd(n,b); old D(A, j), D(B, j), j=2 = (31.5,28.1); new D(A', 2) = 28.1 old D(A, j), D(B, j), j=3 = (14.7,11.3); new D(A', 3) = 11.3 old D(A, j), D(B, j), j=5 = (18.3,14.9); new D(A', 5) = 14.9 --> size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; -> (-3,-5); last=5; old D(A, j), D(B, j), j=1 = (11.3,14.9); new D(A', 1) = 11.3 old D(A, j), D(B, j), j=2 = (16.8,13.2); new D(A', 2) = 13.2 --> size(A_new)= 2 nmerge=2, j=2, d_min = D(1,3) = 11.3000; -> (1,2); last=4; upd(n,b); old D(A, j), D(B, j), j=2 = (28.1,13.2); new D(A', 2) = 13.2 --> size(A_new)= 4 nmerge=3, j=2, d_min = D(1,2) = 13.2000; -> (3,-2); last=5; --> size(A_new)= 5 [1] TRUE attr(,"fits") attr(,"fits")$s Call: agnes(x = d, method = method, trace.lev = trace.lev) Agglomerative coefficient: 0.587879 Order of objects: [1] D F E IRL GR Height (summary): Min. 1st Qu. Median Mean 3rd Qu. Max. 3.40 3.55 7.45 7.88 11.78 13.20 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" attr(,"fits")$f Call: agnes(x = d, method = "flex", par.method = par.meth[[method]], trace.lev = trace.lev) Agglomerative coefficient: 0.587879 Order of objects: [1] D F E IRL GR Height (summary): Min. 1st Qu. Median Mean 3rd Qu. Max. 3.40 3.55 7.45 7.88 11.78 13.20 Available components: [1] "order" "height" "ac" "merge" "diss" "call" [7] "method" "order.lab" > > stopifnot(chk(agr5), chk(agr5, "complete", trace = 2), chk(agr5, "weighted"), + chk(agr8), chk(agr8, "complete"), chk(agr8, "weighted", trace.lev=2), + chk(agriculture), chk(agriculture, "complete"), + chk(ruspini), chk(ruspini, "complete"), chk(ruspini, "weighted")) C agnes(n=5, method = 2, ..): 4 merging steps C agnes(n=5, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,-0.5); 4 merging steps C agnes(n=5, method = 3, ..): 4 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; last=4; upd(n,b); size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; last=5; size(A_new)= 2 nmerge=2, j=2, d_min = D(2,3) = 16.8000; last=4; size(A_new)= 3 nmerge=3, j=2, d_min = D(1,2) = 31.5000; last=3; size(A_new)= 5 C agnes(n=5, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,0.5); 4 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; last=4; upd(n,b); size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; last=5; size(A_new)= 2 nmerge=2, j=2, d_min = D(2,3) = 16.8000; last=4; size(A_new)= 3 nmerge=3, j=2, d_min = D(1,2) = 31.5000; last=3; size(A_new)= 5 C agnes(n=5, method = 5, ..): 4 merging steps C agnes(n=5, method = 6, ..): 4 merging steps C agnes(n=8, method = 2, ..): 7 merging steps C agnes(n=8, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,-0.5); 7 merging steps C agnes(n=8, method = 3, ..): 7 merging steps C agnes(n=8, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,0.5); 7 merging steps C agnes(n=8, method = 5, ..): 7 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; last=4; upd(n,b); size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; last=5; size(A_new)= 2 nmerge=2, j=2, d_min = D(1,6) = 5.40000; last=6; upd(n,b); size(A_new)= 3 nmerge=3, j=2, d_min = D(2,7) = 6.70000; last=7; upd(n,b); size(A_new)= 2 nmerge=4, j=2, d_min = D(1,8) = 7.75000; last=8; upd(n,b); size(A_new)= 4 nmerge=5, j=2, d_min = D(2,3) = 11.6500; last=7; size(A_new)= 4 nmerge=6, j=2, d_min = D(1,2) = 18.3750; last=5; size(A_new)= 8 C agnes(n=8, method = 6, ..): 7 merging steps nmerge=0, j=2, d_min = D(1,4) = 3.40000; last=4; upd(n,b); size(A_new)= 2 nmerge=1, j=2, d_min = D(3,5) = 3.60000; last=5; size(A_new)= 2 nmerge=2, j=2, d_min = D(1,6) = 5.40000; last=6; upd(n,b); size(A_new)= 3 nmerge=3, j=2, d_min = D(2,7) = 6.70000; last=7; upd(n,b); size(A_new)= 2 nmerge=4, j=2, d_min = D(1,8) = 7.75000; last=8; upd(n,b); size(A_new)= 4 nmerge=5, j=2, d_min = D(2,3) = 11.6500; last=7; size(A_new)= 4 nmerge=6, j=2, d_min = D(1,2) = 18.3750; last=5; size(A_new)= 8 C agnes(n=12, method = 2, ..): 11 merging steps C agnes(n=12, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,-0.5); 11 merging steps C agnes(n=12, method = 3, ..): 11 merging steps C agnes(n=12, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,0.5); 11 merging steps C agnes(n=75, method = 2, ..): 74 merging steps C agnes(n=75, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,-0.5); 74 merging steps C agnes(n=75, method = 3, ..): 74 merging steps C agnes(n=75, method = 6, ..): |par| = 4, alpha[1:4] = (0.5,0.5,0,0.5); 74 merging steps C agnes(n=75, method = 5, ..): 74 merging steps C agnes(n=75, method = 6, ..): 74 merging steps > > showProc.time() Time (user system elapsed): 0.04 0.001 0.041 > > ## an invalid "flexible" case - now must give error early: > x <- rbind(c( -6, -9), c( 0, 13), + c(-15, 6), c(-14, 0), c(12,-10)) > (dx <- daisy(x, "manhattan")) Dissimilarities : 1 2 3 4 2 28 3 24 22 4 17 27 7 5 19 35 43 36 Metric : manhattan Number of objects : 5 > a.x <- tryCatch(agnes(dx, method="flexible", par = -.2), + error = function(e)e) > ## agnes(method=6, par.method=*) lead to invalid merge; step 4, D(.,.)=-26.1216 > if(!inherits(a.x, "error")) stop("invalid 'par' in \"flexible\" did not give error") > if(!all(vapply(c("par[.]method", "merge"), grepl, NA, x=a.x$message))) + stop("error message did not contain expected words") > > > proc.time() user system elapsed 0.767 0.094 0.859