this is my first tutorial
library(highcharter)## Registered S3 method overwritten by 'quantmod':
## method from
## as.zoo.data.frame zoo## Highcharts (www.highcharts.com) is a Highsoft software product which is## not free for commercial and Governmental use#Comments
#Functions ----
mean(c(3,4,5))## [1] 4median(c(3,4,5))## [1] 4#text functions ----
toupper("Hello")## [1] "HELLO"paste("cat","and", "dog")## [1] "cat and dog"1:100## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100paste(1:100,"dalmatians")## [1] "1 dalmatians" "2 dalmatians" "3 dalmatians" "4 dalmatians"
## [5] "5 dalmatians" "6 dalmatians" "7 dalmatians" "8 dalmatians"
## [9] "9 dalmatians" "10 dalmatians" "11 dalmatians" "12 dalmatians"
## [13] "13 dalmatians" "14 dalmatians" "15 dalmatians" "16 dalmatians"
## [17] "17 dalmatians" "18 dalmatians" "19 dalmatians" "20 dalmatians"
## [21] "21 dalmatians" "22 dalmatians" "23 dalmatians" "24 dalmatians"
## [25] "25 dalmatians" "26 dalmatians" "27 dalmatians" "28 dalmatians"
## [29] "29 dalmatians" "30 dalmatians" "31 dalmatians" "32 dalmatians"
## [33] "33 dalmatians" "34 dalmatians" "35 dalmatians" "36 dalmatians"
## [37] "37 dalmatians" "38 dalmatians" "39 dalmatians" "40 dalmatians"
## [41] "41 dalmatians" "42 dalmatians" "43 dalmatians" "44 dalmatians"
## [45] "45 dalmatians" "46 dalmatians" "47 dalmatians" "48 dalmatians"
## [49] "49 dalmatians" "50 dalmatians" "51 dalmatians" "52 dalmatians"
## [53] "53 dalmatians" "54 dalmatians" "55 dalmatians" "56 dalmatians"
## [57] "57 dalmatians" "58 dalmatians" "59 dalmatians" "60 dalmatians"
## [61] "61 dalmatians" "62 dalmatians" "63 dalmatians" "64 dalmatians"
## [65] "65 dalmatians" "66 dalmatians" "67 dalmatians" "68 dalmatians"
## [69] "69 dalmatians" "70 dalmatians" "71 dalmatians" "72 dalmatians"
## [73] "73 dalmatians" "74 dalmatians" "75 dalmatians" "76 dalmatians"
## [77] "77 dalmatians" "78 dalmatians" "79 dalmatians" "80 dalmatians"
## [81] "81 dalmatians" "82 dalmatians" "83 dalmatians" "84 dalmatians"
## [85] "85 dalmatians" "86 dalmatians" "87 dalmatians" "88 dalmatians"
## [89] "89 dalmatians" "90 dalmatians" "91 dalmatians" "92 dalmatians"
## [93] "93 dalmatians" "94 dalmatians" "95 dalmatians" "96 dalmatians"
## [97] "97 dalmatians" "98 dalmatians" "99 dalmatians" "100 dalmatians"gsub("eloc", "Elo","eloc is big")## [1] "Elo is big"#vectors ----
1:100## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
## [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
## [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
## [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100c("c","a","d")## [1] "c" "a" "d"c(1,2,3)## [1] 1 2 3paste(c("c","a","d"),c(1,2,3))## [1] "c 1" "a 2" "d 3"paste(c("c","a","d"),c(1:100))## [1] "c 1" "a 2" "d 3" "c 4" "a 5" "d 6" "c 7" "a 8" "d 9"
## [10] "c 10" "a 11" "d 12" "c 13" "a 14" "d 15" "c 16" "a 17" "d 18"
## [19] "c 19" "a 20" "d 21" "c 22" "a 23" "d 24" "c 25" "a 26" "d 27"
## [28] "c 28" "a 29" "d 30" "c 31" "a 32" "d 33" "c 34" "a 35" "d 36"
## [37] "c 37" "a 38" "d 39" "c 40" "a 41" "d 42" "c 43" "a 44" "d 45"
## [46] "c 46" "a 47" "d 48" "c 49" "a 50" "d 51" "c 52" "a 53" "d 54"
## [55] "c 55" "a 56" "d 57" "c 58" "a 59" "d 60" "c 61" "a 62" "d 63"
## [64] "c 64" "a 65" "d 66" "c 67" "a 68" "d 69" "c 70" "a 71" "d 72"
## [73] "c 73" "a 74" "d 75" "c 76" "a 77" "d 78" "c 79" "a 80" "d 81"
## [82] "c 82" "a 83" "d 84" "c 85" "a 86" "d 87" "c 88" "a 89" "d 90"
## [91] "c 91" "a 92" "d 93" "c 94" "a 95" "d 96" "c 97" "a 98" "d 99"
## [100] "c 100"#assign objects ----
aus <- "australia"
aus## [1] "australia"numbers <- 1:1000
numbers## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14
## [15] 15 16 17 18 19 20 21 22 23 24 25 26 27 28
## [29] 29 30 31 32 33 34 35 36 37 38 39 40 41 42
## [43] 43 44 45 46 47 48 49 50 51 52 53 54 55 56
## [57] 57 58 59 60 61 62 63 64 65 66 67 68 69 70
## [71] 71 72 73 74 75 76 77 78 79 80 81 82 83 84
## [85] 85 86 87 88 89 90 91 92 93 94 95 96 97 98
## [99] 99 100 101 102 103 104 105 106 107 108 109 110 111 112
## [113] 113 114 115 116 117 118 119 120 121 122 123 124 125 126
## [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## [141] 141 142 143 144 145 146 147 148 149 150 151 152 153 154
## [155] 155 156 157 158 159 160 161 162 163 164 165 166 167 168
## [169] 169 170 171 172 173 174 175 176 177 178 179 180 181 182
## [183] 183 184 185 186 187 188 189 190 191 192 193 194 195 196
## [197] 197 198 199 200 201 202 203 204 205 206 207 208 209 210
## [211] 211 212 213 214 215 216 217 218 219 220 221 222 223 224
## [225] 225 226 227 228 229 230 231 232 233 234 235 236 237 238
## [239] 239 240 241 242 243 244 245 246 247 248 249 250 251 252
## [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266
## [267] 267 268 269 270 271 272 273 274 275 276 277 278 279 280
## [281] 281 282 283 284 285 286 287 288 289 290 291 292 293 294
## [295] 295 296 297 298 299 300 301 302 303 304 305 306 307 308
## [309] 309 310 311 312 313 314 315 316 317 318 319 320 321 322
## [323] 323 324 325 326 327 328 329 330 331 332 333 334 335 336
## [337] 337 338 339 340 341 342 343 344 345 346 347 348 349 350
## [351] 351 352 353 354 355 356 357 358 359 360 361 362 363 364
## [365] 365 366 367 368 369 370 371 372 373 374 375 376 377 378
## [379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392
## [393] 393 394 395 396 397 398 399 400 401 402 403 404 405 406
## [407] 407 408 409 410 411 412 413 414 415 416 417 418 419 420
## [421] 421 422 423 424 425 426 427 428 429 430 431 432 433 434
## [435] 435 436 437 438 439 440 441 442 443 444 445 446 447 448
## [449] 449 450 451 452 453 454 455 456 457 458 459 460 461 462
## [463] 463 464 465 466 467 468 469 470 471 472 473 474 475 476
## [477] 477 478 479 480 481 482 483 484 485 486 487 488 489 490
## [491] 491 492 493 494 495 496 497 498 499 500 501 502 503 504
## [505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518
## [519] 519 520 521 522 523 524 525 526 527 528 529 530 531 532
## [533] 533 534 535 536 537 538 539 540 541 542 543 544 545 546
## [547] 547 548 549 550 551 552 553 554 555 556 557 558 559 560
## [561] 561 562 563 564 565 566 567 568 569 570 571 572 573 574
## [575] 575 576 577 578 579 580 581 582 583 584 585 586 587 588
## [589] 589 590 591 592 593 594 595 596 597 598 599 600 601 602
## [603] 603 604 605 606 607 608 609 610 611 612 613 614 615 616
## [617] 617 618 619 620 621 622 623 624 625 626 627 628 629 630
## [631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644
## [645] 645 646 647 648 649 650 651 652 653 654 655 656 657 658
## [659] 659 660 661 662 663 664 665 666 667 668 669 670 671 672
## [673] 673 674 675 676 677 678 679 680 681 682 683 684 685 686
## [687] 687 688 689 690 691 692 693 694 695 696 697 698 699 700
## [701] 701 702 703 704 705 706 707 708 709 710 711 712 713 714
## [715] 715 716 717 718 719 720 721 722 723 724 725 726 727 728
## [729] 729 730 731 732 733 734 735 736 737 738 739 740 741 742
## [743] 743 744 745 746 747 748 749 750 751 752 753 754 755 756
## [757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770
## [771] 771 772 773 774 775 776 777 778 779 780 781 782 783 784
## [785] 785 786 787 788 789 790 791 792 793 794 795 796 797 798
## [799] 799 800 801 802 803 804 805 806 807 808 809 810 811 812
## [813] 813 814 815 816 817 818 819 820 821 822 823 824 825 826
## [827] 827 828 829 830 831 832 833 834 835 836 837 838 839 840
## [841] 841 842 843 844 845 846 847 848 849 850 851 852 853 854
## [855] 855 856 857 858 859 860 861 862 863 864 865 866 867 868
## [869] 869 870 871 872 873 874 875 876 877 878 879 880 881 882
## [883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896
## [897] 897 898 899 900 901 902 903 904 905 906 907 908 909 910
## [911] 911 912 913 914 915 916 917 918 919 920 921 922 923 924
## [925] 925 926 927 928 929 930 931 932 933 934 935 936 937 938
## [939] 939 940 941 942 943 944 945 946 947 948 949 950 951 952
## [953] 953 954 955 956 957 958 959 960 961 962 963 964 965 966
## [967] 967 968 969 970 971 972 973 974 975 976 977 978 979 980
## [981] 981 982 983 984 985 986 987 988 989 990 991 992 993 994
## [995] 995 996 997 998 999 1000numbers^2## [1] 1 4 9 16 25 36 49 64 81
## [10] 100 121 144 169 196 225 256 289 324
## [19] 361 400 441 484 529 576 625 676 729
## [28] 784 841 900 961 1024 1089 1156 1225 1296
## [37] 1369 1444 1521 1600 1681 1764 1849 1936 2025
## [46] 2116 2209 2304 2401 2500 2601 2704 2809 2916
## [55] 3025 3136 3249 3364 3481 3600 3721 3844 3969
## [64] 4096 4225 4356 4489 4624 4761 4900 5041 5184
## [73] 5329 5476 5625 5776 5929 6084 6241 6400 6561
## [82] 6724 6889 7056 7225 7396 7569 7744 7921 8100
## [91] 8281 8464 8649 8836 9025 9216 9409 9604 9801
## [100] 10000 10201 10404 10609 10816 11025 11236 11449 11664
## [109] 11881 12100 12321 12544 12769 12996 13225 13456 13689
## [118] 13924 14161 14400 14641 14884 15129 15376 15625 15876
## [127] 16129 16384 16641 16900 17161 17424 17689 17956 18225
## [136] 18496 18769 19044 19321 19600 19881 20164 20449 20736
## [145] 21025 21316 21609 21904 22201 22500 22801 23104 23409
## [154] 23716 24025 24336 24649 24964 25281 25600 25921 26244
## [163] 26569 26896 27225 27556 27889 28224 28561 28900 29241
## [172] 29584 29929 30276 30625 30976 31329 31684 32041 32400
## [181] 32761 33124 33489 33856 34225 34596 34969 35344 35721
## [190] 36100 36481 36864 37249 37636 38025 38416 38809 39204
## [199] 39601 40000 40401 40804 41209 41616 42025 42436 42849
## [208] 43264 43681 44100 44521 44944 45369 45796 46225 46656
## [217] 47089 47524 47961 48400 48841 49284 49729 50176 50625
## [226] 51076 51529 51984 52441 52900 53361 53824 54289 54756
## [235] 55225 55696 56169 56644 57121 57600 58081 58564 59049
## [244] 59536 60025 60516 61009 61504 62001 62500 63001 63504
## [253] 64009 64516 65025 65536 66049 66564 67081 67600 68121
## [262] 68644 69169 69696 70225 70756 71289 71824 72361 72900
## [271] 73441 73984 74529 75076 75625 76176 76729 77284 77841
## [280] 78400 78961 79524 80089 80656 81225 81796 82369 82944
## [289] 83521 84100 84681 85264 85849 86436 87025 87616 88209
## [298] 88804 89401 90000 90601 91204 91809 92416 93025 93636
## [307] 94249 94864 95481 96100 96721 97344 97969 98596 99225
## [316] 99856 100489 101124 101761 102400 103041 103684 104329 104976
## [325] 105625 106276 106929 107584 108241 108900 109561 110224 110889
## [334] 111556 112225 112896 113569 114244 114921 115600 116281 116964
## [343] 117649 118336 119025 119716 120409 121104 121801 122500 123201
## [352] 123904 124609 125316 126025 126736 127449 128164 128881 129600
## [361] 130321 131044 131769 132496 133225 133956 134689 135424 136161
## [370] 136900 137641 138384 139129 139876 140625 141376 142129 142884
## [379] 143641 144400 145161 145924 146689 147456 148225 148996 149769
## [388] 150544 151321 152100 152881 153664 154449 155236 156025 156816
## [397] 157609 158404 159201 160000 160801 161604 162409 163216 164025
## [406] 164836 165649 166464 167281 168100 168921 169744 170569 171396
## [415] 172225 173056 173889 174724 175561 176400 177241 178084 178929
## [424] 179776 180625 181476 182329 183184 184041 184900 185761 186624
## [433] 187489 188356 189225 190096 190969 191844 192721 193600 194481
## [442] 195364 196249 197136 198025 198916 199809 200704 201601 202500
## [451] 203401 204304 205209 206116 207025 207936 208849 209764 210681
## [460] 211600 212521 213444 214369 215296 216225 217156 218089 219024
## [469] 219961 220900 221841 222784 223729 224676 225625 226576 227529
## [478] 228484 229441 230400 231361 232324 233289 234256 235225 236196
## [487] 237169 238144 239121 240100 241081 242064 243049 244036 245025
## [496] 246016 247009 248004 249001 250000 251001 252004 253009 254016
## [505] 255025 256036 257049 258064 259081 260100 261121 262144 263169
## [514] 264196 265225 266256 267289 268324 269361 270400 271441 272484
## [523] 273529 274576 275625 276676 277729 278784 279841 280900 281961
## [532] 283024 284089 285156 286225 287296 288369 289444 290521 291600
## [541] 292681 293764 294849 295936 297025 298116 299209 300304 301401
## [550] 302500 303601 304704 305809 306916 308025 309136 310249 311364
## [559] 312481 313600 314721 315844 316969 318096 319225 320356 321489
## [568] 322624 323761 324900 326041 327184 328329 329476 330625 331776
## [577] 332929 334084 335241 336400 337561 338724 339889 341056 342225
## [586] 343396 344569 345744 346921 348100 349281 350464 351649 352836
## [595] 354025 355216 356409 357604 358801 360000 361201 362404 363609
## [604] 364816 366025 367236 368449 369664 370881 372100 373321 374544
## [613] 375769 376996 378225 379456 380689 381924 383161 384400 385641
## [622] 386884 388129 389376 390625 391876 393129 394384 395641 396900
## [631] 398161 399424 400689 401956 403225 404496 405769 407044 408321
## [640] 409600 410881 412164 413449 414736 416025 417316 418609 419904
## [649] 421201 422500 423801 425104 426409 427716 429025 430336 431649
## [658] 432964 434281 435600 436921 438244 439569 440896 442225 443556
## [667] 444889 446224 447561 448900 450241 451584 452929 454276 455625
## [676] 456976 458329 459684 461041 462400 463761 465124 466489 467856
## [685] 469225 470596 471969 473344 474721 476100 477481 478864 480249
## [694] 481636 483025 484416 485809 487204 488601 490000 491401 492804
## [703] 494209 495616 497025 498436 499849 501264 502681 504100 505521
## [712] 506944 508369 509796 511225 512656 514089 515524 516961 518400
## [721] 519841 521284 522729 524176 525625 527076 528529 529984 531441
## [730] 532900 534361 535824 537289 538756 540225 541696 543169 544644
## [739] 546121 547600 549081 550564 552049 553536 555025 556516 558009
## [748] 559504 561001 562500 564001 565504 567009 568516 570025 571536
## [757] 573049 574564 576081 577600 579121 580644 582169 583696 585225
## [766] 586756 588289 589824 591361 592900 594441 595984 597529 599076
## [775] 600625 602176 603729 605284 606841 608400 609961 611524 613089
## [784] 614656 616225 617796 619369 620944 622521 624100 625681 627264
## [793] 628849 630436 632025 633616 635209 636804 638401 640000 641601
## [802] 643204 644809 646416 648025 649636 651249 652864 654481 656100
## [811] 657721 659344 660969 662596 664225 665856 667489 669124 670761
## [820] 672400 674041 675684 677329 678976 680625 682276 683929 685584
## [829] 687241 688900 690561 692224 693889 695556 697225 698896 700569
## [838] 702244 703921 705600 707281 708964 710649 712336 714025 715716
## [847] 717409 719104 720801 722500 724201 725904 727609 729316 731025
## [856] 732736 734449 736164 737881 739600 741321 743044 744769 746496
## [865] 748225 749956 751689 753424 755161 756900 758641 760384 762129
## [874] 763876 765625 767376 769129 770884 772641 774400 776161 777924
## [883] 779689 781456 783225 784996 786769 788544 790321 792100 793881
## [892] 795664 797449 799236 801025 802816 804609 806404 808201 810000
## [901] 811801 813604 815409 817216 819025 820836 822649 824464 826281
## [910] 828100 829921 831744 833569 835396 837225 839056 840889 842724
## [919] 844561 846400 848241 850084 851929 853776 855625 857476 859329
## [928] 861184 863041 864900 866761 868624 870489 872356 874225 876096
## [937] 877969 879844 881721 883600 885481 887364 889249 891136 893025
## [946] 894916 896809 898704 900601 902500 904401 906304 908209 910116
## [955] 912025 913936 915849 917764 919681 921600 923521 925444 927369
## [964] 929296 931225 933156 935089 937024 938961 940900 942841 944784
## [973] 946729 948676 950625 952576 954529 956484 958441 960400 962361
## [982] 964324 966289 968256 970225 972196 974169 976144 978121 980100
## [991] 982081 984064 986049 988036 990025 992016 994009 996004 998001
## [1000] 1000000result<-3+4
result## [1] 7result+8## [1] 15names <- c("Kene","Elo","Aka")
weights <- c(90,84,100)
heights <- c(1.85,1.9,1.8)
bmi <- weights/(heights^2)
bmi <- round(bmi,1)
paste(names,"your bmi is",bmi)## [1] "Kene your bmi is 26.3" "Elo your bmi is 23.3" "Aka your bmi is 30.9"sibdata <- data.frame(siblingnames=names,
siblingheight=heights,
siblingweight=weights,
siblingBMI=bmi)
hchart(sibdata,"bar",hcaes(siblingnames,siblingBMI))hchart(sibdata,"scatter",hcaes(x=siblingheight,
y=siblingweight))