See also
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-[{"path":"https://r-lum.github.io/rxylib/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Sebastian Kreutzer. Author, translator, maintainer. Johannes Friedrich. Author. RLum Team. Contributor. Marcin Wojdyr. Copyright holder. C++ library 'xylib' Peng Zhang. Copyright holder. C++ library 'xylib'","code":""},{"path":"https://r-lum.github.io/rxylib/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Kreutzer S, Friedrich J (2024). rxylib: Import XY-Data R. R package version 0.2.13, https://r-lum.github.io/rxylib.","code":"@Manual{, title = {rxylib: Import XY-Data into R}, author = {Sebastian Kreutzer and Johannes Friedrich}, year = {2024}, note = {R package version 0.2.13}, url = {https://r-lum.github.io/rxylib}, }"},{"path":"https://r-lum.github.io/rxylib/index.html","id":"rxylib-","dir":"","previous_headings":"","what":"Import XY-Data into R","title":"Import XY-Data into R","text":"R package rxylib provides access C++ library xylib wrapping library using Rcpp. supported data formats see https://github.com/wojdyr/xylib.","code":""},{"path":[]},{"path":"https://r-lum.github.io/rxylib/index.html","id":"i-requirements","dir":"","previous_headings":"Installation","what":"i. Requirements","title":"Import XY-Data into R","text":"Windows (32/64bit): Rtools (provided CRAN) macOS: Xcode Linux: gcc often comes pre-installed distributions.","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"ii-install-the-package-development-version","dir":"","previous_headings":"Installation","what":"ii. Install the package (development version)","title":"Import XY-Data into R","text":"install stable version CRAN, simply run following R console: install latest development builds directly GitHub, run install developer build 'master', replace term 'master' code line name wanted developer build.","code":"install.packages(\"rxylib\") if(!require(\"devtools\")) install.packages(\"devtools\") devtools::install_github(\"R-Lum/rxylib@master\")"},{"path":"https://r-lum.github.io/rxylib/index.html","id":"related-projects","dir":"","previous_headings":"","what":"Related projects","title":"Import XY-Data into R","text":"rxylibShiny","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"licenses","dir":"","previous_headings":"","what":"Licenses","title":"Import XY-Data into R","text":"Please note package uses two different licences","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"package-rxylib-license","dir":"","previous_headings":"","what":"Package rxylib license","title":"Import XY-Data into R","text":"program free software: can redistribute /modify terms GNU General Public License published Free Software Foundation, either version 3 License, later version. program distributed hope useful, WITHOUT WARRANTY; without even implied warranty MERCHANTABILITY FITNESS PARTICULAR PURPOSE. See GNU General Public License details.","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"library-xylib-license","dir":"","previous_headings":"","what":"Library xylib license","title":"Import XY-Data into R","text":"library part GPL-3 license conditions package available LGPL license conditions cf. https://github.com/wojdyr/xylib","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"id_-funding","dir":"","previous_headings":"","what":"Funding","title":"Import XY-Data into R","text":"2017-2019, work Sebastian Kreutzer maintainer package supported LabEx LaScArBx (ANR - n. ANR-10-LABX-52). 01/2020-04/2022, Sebastian Kreutzer received funding European Union’s Horizon 2020 research innovation programme Marie Skłodowska-Curie grant agreement 844457 (project: CREDit). Since 03/2023, Sebastian Kreutzer maintainer package receives funding DFG Heisenberg programme 505822867.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert xy-data to TKA — convert_xy2TKA","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Convert data Toolkit file format (TKA) exported , e.g., software Canberra Genie 2000.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert xy-data to TKA — convert_xy2TKA","text":"","code":"convert_xy2TKA(object, file = NULL, overwrite = FALSE)"},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert xy-data to TKA — convert_xy2TKA","text":"object rxylib (required): xy data imported function read_xyData. Optional file supported rxylib-package can provided input. Arguments can provided list. file character (optional): optional file path file name output written. path provided output file name derived input file name. Argument can provided list. overwrite logical (default): force overwriting existing files TRUE.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Returns list matrix objects output TKA-file.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Supported formats Canberra CNF formats request ...","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"function-version","dir":"Reference","previous_headings":"","what":"Function version","title":"Convert xy-data to TKA — convert_xy2TKA","text":"0.1.1","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Sebastian Kreutzer, Institute Geography, Universität Heidelberg, Germany","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"how-to-cite","dir":"Reference","previous_headings":"","what":"How to cite","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Kreutzer, S., 2024. convert_xy2TKA(): Convert xy-data TKA. Function version 0.1.1. : Kreutzer, S., Friedrich, J., 2024. rxylib: Import XY-Data R . R package version 0.2.13. https://github.com/R-Lum/rxylib","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert xy-data to TKA — convert_xy2TKA","text":"","code":"##convert CNF data (no export to file system) convert_xy2TKA( object = system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\")) #> $`Thorit Kalibrierung` #> [,1] #> [1,] 1662 #> [2,] 1757 #> [3,] 0 #> [4,] 0 #> [5,] 0 #> [6,] 0 #> [7,] 0 #> [8,] 0 #> [9,] 0 #> [10,] 0 #> [11,] 0 #> [12,] 0 #> [13,] 0 #> [14,] 0 #> [15,] 0 #> [16,] 0 #> [17,] 0 #> [18,] 0 #> [19,] 0 #> [20,] 0 #> [21,] 0 #> [22,] 0 #> [23,] 0 #> [24,] 0 #> [25,] 0 #> [26,] 0 #> [27,] 0 #> [28,] 10600 #> [29,] 21498 #> [30,] 20914 #> [31,] 20856 #> [32,] 20406 #> [33,] 21014 #> [34,] 21420 #> [35,] 22219 #> [36,] 22986 #> [37,] 23821 #> [38,] 24000 #> [39,] 23936 #> [40,] 24423 #> [41,] 23822 #> [42,] 23501 #> [43,] 23590 #> [44,] 23977 #> [45,] 24624 #> [46,] 25749 #> [47,] 26887 #> [48,] 28473 #> [49,] 29511 #> [50,] 31089 #> [51,] 31434 #> [52,] 32210 #> [53,] 33013 #> [54,] 34835 #> [55,] 37321 #> [56,] 42376 #> [57,] 48629 #> [58,] 55310 #> [59,] 62075 #> [60,] 66424 #> [61,] 67942 #> [62,] 67311 #> [63,] 64419 #> [64,] 61673 #> [65,] 61593 #> [66,] 64529 #> [67,] 71201 #> [68,] 81396 #> [69,] 93400 #> [70,] 103867 #> [71,] 112217 #> [72,] 117287 #> [73,] 116348 #> [74,] 111774 #> [75,] 102572 #> [76,] 93502 #> [77,] 83337 #> [78,] 75946 #> [79,] 70295 #> [80,] 65420 #> [81,] 62261 #> [82,] 59859 #> [83,] 56067 #> [84,] 52642 #> [85,] 48164 #> [86,] 43581 #> [87,] 39958 #> [88,] 36630 #> [89,] 35060 #> [90,] 33440 #> [91,] 32670 #> [92,] 32532 #> [93,] 32853 #> [94,] 33123 #> [95,] 33749 #> [96,] 34391 #> [97,] 35023 #> [98,] 35460 #> [99,] 35981 #> [100,] 36196 #> [101,] 36536 #> [102,] 37191 #> [103,] 37612 #> [104,] 37867 #> [105,] 38360 #> [106,] 38857 #> [107,] 39100 #> [108,] 39267 #> [109,] 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34404 #> [235,] 36695 #> [236,] 39125 #> [237,] 41552 #> [238,] 43814 #> [239,] 45860 #> [240,] 48274 #> [241,] 50239 #> [242,] 51812 #> [243,] 53973 #> [244,] 54744 #> [245,] 56048 #> [246,] 56901 #> [247,] 56916 #> [248,] 56077 #> [249,] 55764 #> [250,] 54235 #> [251,] 52994 #> [252,] 50723 #> [253,] 48758 #> [254,] 46224 #> [255,] 42858 #> [256,] 40407 #> [257,] 37233 #> [258,] 34424 #> [259,] 31341 #> [260,] 29234 #> [261,] 25958 #> [262,] 24113 #> [263,] 22055 #> [264,] 20455 #> [265,] 18866 #> [266,] 17612 #> [267,] 16494 #> [268,] 15735 #> [269,] 15317 #> [270,] 15015 #> [271,] 14746 #> [272,] 14576 #> [273,] 14281 #> [274,] 14103 #> [275,] 14028 #> [276,] 13986 #> [277,] 14130 #> [278,] 14087 #> [279,] 13924 #> [280,] 14100 #> [281,] 13928 #> [282,] 13837 #> [283,] 13648 #> [284,] 13492 #> [285,] 13478 #> [286,] 13399 #> [287,] 13354 #> [288,] 13197 #> [289,] 13038 #> [290,] 12902 #> [291,] 12335 #> [292,] 12419 #> [293,] 12366 #> [294,] 11974 #> [295,] 11883 #> [296,] 11771 #> 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13070 #> [360,] 12945 #> [361,] 12657 #> [362,] 12399 #> [363,] 12303 #> [364,] 12032 #> [365,] 11839 #> [366,] 11511 #> [367,] 11424 #> [368,] 11139 #> [369,] 10731 #> [370,] 10530 #> [371,] 10387 #> [372,] 10119 #> [373,] 10066 #> [374,] 10026 #> [375,] 10030 #> [376,] 9906 #> [377,] 10056 #> [378,] 10124 #> [379,] 10204 #> [380,] 10445 #> [381,] 10657 #> [382,] 10837 #> [383,] 11128 #> [384,] 11445 #> [385,] 11968 #> [386,] 12420 #> [387,] 13013 #> [388,] 13601 #> [389,] 14014 #> [390,] 14764 #> [391,] 15377 #> [392,] 16241 #> [393,] 17051 #> [394,] 18067 #> [395,] 18903 #> [396,] 19653 #> [397,] 20514 #> [398,] 21635 #> [399,] 22586 #> [400,] 23678 #> [401,] 24647 #> [402,] 25380 #> [403,] 26162 #> [404,] 26985 #> [405,] 28228 #> [406,] 29000 #> [407,] 29995 #> [408,] 30773 #> [409,] 31147 #> [410,] 31708 #> [411,] 32580 #> [412,] 33072 #> [413,] 33591 #> [414,] 34028 #> [415,] 34038 #> [416,] 34240 #> [417,] 34591 #> [418,] 34590 #> [419,] 34053 #> [420,] 33570 #> [421,] 33440 #> 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7053 #> [554,] 6790 #> [555,] 6877 #> [556,] 6805 #> [557,] 6798 #> [558,] 6511 #> [559,] 6557 #> [560,] 6493 #> [561,] 6619 #> [562,] 6459 #> [563,] 6355 #> [564,] 6334 #> [565,] 6298 #> [566,] 6380 #> [567,] 6246 #> [568,] 6336 #> [569,] 6295 #> [570,] 6213 #> [571,] 6343 #> [572,] 6289 #> [573,] 6245 #> [574,] 6268 #> [575,] 6132 #> [576,] 6316 #> [577,] 6289 #> [578,] 6265 #> [579,] 6229 #> [580,] 6295 #> [581,] 6209 #> [582,] 6350 #> [583,] 6310 #> [584,] 6337 #> [585,] 6351 #> [586,] 6356 #> [587,] 6359 #> [588,] 6491 #> [589,] 6421 #> [590,] 6550 #> [591,] 6702 #> [592,] 6556 #> [593,] 6741 #> [594,] 6780 #> [595,] 6966 #> [596,] 7176 #> [597,] 7103 #> [598,] 7498 #> [599,] 7791 #> [600,] 7645 #> [601,] 7993 #> [602,] 8109 #> [603,] 8160 #> [604,] 8362 #> [605,] 8640 #> [606,] 8910 #> [607,] 9187 #> [608,] 9209 #> [609,] 9624 #> [610,] 9647 #> [611,] 9929 #> [612,] 10157 #> [613,] 10372 #> [614,] 10487 #> [615,] 10701 #> [616,] 10706 #> [617,] 10671 #> [618,] 10875 #> [619,] 10935 #> [620,] 11101 #> [621,] 10867 #> [622,] 10996 #> [623,] 11017 #> [624,] 10736 #> [625,] 10946 #> [626,] 10749 #> [627,] 10711 #> [628,] 10507 #> [629,] 10495 #> [630,] 10395 #> [631,] 10279 #> [632,] 10000 #> [633,] 9761 #> [634,] 9786 #> [635,] 9722 #> [636,] 9518 #> [637,] 9571 #> [638,] 9312 #> [639,] 9266 #> [640,] 9452 #> [641,] 9083 #> [642,] 9242 #> [643,] 9002 #> [644,] 8873 #> [645,] 9116 #> [646,] 9182 #> [647,] 8841 #> [648,] 9042 #> [649,] 8979 #> [650,] 9053 #> [651,] 8765 #> [652,] 8908 #> [653,] 8806 #> [654,] 8636 #> [655,] 8787 #> [656,] 8431 #> [657,] 8424 #> [658,] 8430 #> [659,] 8380 #> [660,] 8081 #> [661,] 8092 #> [662,] 7847 #> [663,] 7726 #> [664,] 7649 #> [665,] 7409 #> [666,] 7253 #> [667,] 7206 #> [668,] 6883 #> [669,] 6603 #> [670,] 6479 #> [671,] 6225 #> [672,] 6203 #> [673,] 5965 #> [674,] 5661 #> [675,] 5346 #> [676,] 5291 #> [677,] 5374 #> [678,] 4936 #> [679,] 4901 #> [680,] 4631 #> [681,] 4515 #> [682,] 4402 #> [683,] 4186 #> [684,] 4147 #> [685,] 3993 #> [686,] 3842 #> [687,] 3682 #> [688,] 3632 #> [689,] 3600 #> [690,] 3669 #> [691,] 3394 #> [692,] 3471 #> [693,] 3320 #> [694,] 3285 #> [695,] 3269 #> [696,] 3183 #> [697,] 3158 #> [698,] 3023 #> [699,] 3029 #> [700,] 3039 #> [701,] 2990 #> [702,] 2977 #> [703,] 2972 #> [704,] 2975 #> [705,] 3002 #> [706,] 2978 #> [707,] 2977 #> [708,] 2962 #> [709,] 3021 #> [710,] 2965 #> [711,] 2971 #> [712,] 2866 #> [713,] 3103 #> [714,] 3163 #> [715,] 3026 #> [716,] 3127 #> [717,] 3181 #> [718,] 3183 #> [719,] 3249 #> [720,] 3387 #> [721,] 3402 #> [722,] 3445 #> [723,] 3468 #> [724,] 3479 #> [725,] 3514 #> [726,] 3560 #> [727,] 3682 #> [728,] 3783 #> [729,] 3971 #> [730,] 4011 #> [731,] 4193 #> [732,] 4232 #> [733,] 4296 #> [734,] 4410 #> [735,] 4498 #> [736,] 4655 #> [737,] 4893 #> [738,] 4860 #> [739,] 5184 #> [740,] 5233 #> [741,] 5492 #> [742,] 5428 #> [743,] 5680 #> [744,] 5793 #> [745,] 5920 #> [746,] 6000 #> [747,] 6022 #> [748,] 6108 #> [749,] 6312 #> [750,] 6342 #> [751,] 6277 #> [752,] 6329 #> [753,] 6409 #> [754,] 6419 #> [755,] 6607 #> [756,] 6640 #> [757,] 6502 #> [758,] 6474 #> [759,] 6389 #> [760,] 6465 #> [761,] 6257 #> [762,] 6191 #> [763,] 6063 #> [764,] 6070 #> [765,] 6035 #> [766,] 5845 #> [767,] 5715 #> [768,] 5514 #> [769,] 5542 #> [770,] 5449 #> [771,] 5414 #> [772,] 5018 #> [773,] 4982 #> [774,] 4755 #> [775,] 4789 #> [776,] 4547 #> [777,] 4576 #> [778,] 4244 #> [779,] 4148 #> [780,] 4234 #> [781,] 4009 #> [782,] 3825 #> [783,] 3695 #> [784,] 3666 #> [785,] 3599 #> [786,] 3466 #> [787,] 3321 #> [788,] 3256 #> [789,] 3204 #> [790,] 3192 #> [791,] 3089 #> [792,] 3000 #> [793,] 3039 #> [794,] 2929 #> [795,] 3002 #> [796,] 2933 #> [797,] 2813 #> [798,] 2837 #> [799,] 2736 #> [800,] 2821 #> [801,] 2736 #> [802,] 2850 #> [803,] 2738 #> [804,] 2771 #> [805,] 2855 #> [806,] 2814 #> [807,] 2814 #> [808,] 2784 #> [809,] 2829 #> [810,] 2861 #> [811,] 2866 #> [812,] 2841 #> [813,] 2961 #> [814,] 3033 #> [815,] 2947 #> [816,] 2991 #> [817,] 3124 #> [818,] 3246 #> [819,] 3179 #> [820,] 3158 #> [821,] 3131 #> [822,] 3229 #> [823,] 3345 #> [824,] 3320 #> [825,] 3318 #> [826,] 3448 #> [827,] 3349 #> [828,] 3412 #> [829,] 3584 #> [830,] 3562 #> [831,] 3441 #> [832,] 3575 #> [833,] 3491 #> [834,] 3361 #> [835,] 3602 #> [836,] 3392 #> [837,] 3461 #> [838,] 3504 #> [839,] 3515 #> [840,] 3465 #> [841,] 3293 #> [842,] 3309 #> [843,] 3318 #> [844,] 3305 #> [845,] 3368 #> [846,] 3324 #> [847,] 3320 #> [848,] 3194 #> [849,] 3150 #> [850,] 3226 #> [851,] 3032 #> [852,] 3049 #> [853,] 3032 #> [854,] 2965 #> [855,] 3067 #> [856,] 2997 #> [857,] 2978 #> [858,] 2887 #> [859,] 2763 #> [860,] 2836 #> [861,] 2725 #> [862,] 2752 #> [863,] 2650 #> [864,] 2674 #> [865,] 2566 #> [866,] 2657 #> [867,] 2456 #> [868,] 2546 #> [869,] 2448 #> [870,] 2376 #> [871,] 2327 #> [872,] 2413 #> [873,] 2257 #> [874,] 2331 #> [875,] 2288 #> [876,] 2341 #> [877,] 2298 #> [878,] 2243 #> [879,] 2196 #> [880,] 2237 #> [881,] 2183 #> [882,] 2159 #> [883,] 2206 #> [884,] 2211 #> [885,] 2221 #> [886,] 2115 #> [887,] 2188 #> [888,] 2144 #> [889,] 2215 #> [890,] 2313 #> [891,] 2153 #> [892,] 2229 #> [893,] 2207 #> [894,] 2320 #> [895,] 2276 #> [896,] 2204 #> [897,] 2349 #> [898,] 2318 #> [899,] 2362 #> [900,] 2378 #> [901,] 2447 #> [902,] 2460 #> [903,] 2550 #> [904,] 2589 #> [905,] 2545 #> [906,] 2689 #> [907,] 2673 #> [908,] 2718 #> [909,] 2795 #> [910,] 2751 #> [911,] 2820 #> [912,] 2924 #> [913,] 2891 #> [914,] 3023 #> [915,] 2976 #> [916,] 3036 #> [917,] 2918 #> [918,] 3073 #> [919,] 3121 #> [920,] 3115 #> [921,] 3005 #> [922,] 3141 #> [923,] 3176 #> [924,] 3202 #> [925,] 3165 #> [926,] 3236 #> [927,] 3187 #> [928,] 3296 #> [929,] 3248 #> [930,] 3214 #> [931,] 3244 #> [932,] 3236 #> [933,] 3177 #> [934,] 3306 #> [935,] 3261 #> [936,] 3253 #> [937,] 3222 #> [938,] 3191 #> [939,] 3076 #> [940,] 3131 #> [941,] 3093 #> [942,] 3015 #> [943,] 3077 #> [944,] 3075 #> [945,] 3029 #> [946,] 2917 #> [947,] 2871 #> [948,] 2863 #> [949,] 2822 #> [950,] 2819 #> [951,] 2811 #> [952,] 2741 #> [953,] 2639 #> [954,] 2570 #> [955,] 2655 #> [956,] 2623 #> [957,] 2632 #> [958,] 2524 #> [959,] 2479 #> [960,] 2452 #> [961,] 2498 #> [962,] 2441 #> [963,] 2335 #> [964,] 2304 #> [965,] 2344 #> [966,] 2362 #> [967,] 2286 #> [968,] 2268 #> [969,] 2275 #> [970,] 2272 #> [971,] 2199 #> [972,] 2181 #> [973,] 2253 #> [974,] 2109 #> [975,] 2276 #> [976,] 2191 #> [977,] 2149 #> [978,] 2219 #> [979,] 2196 #> [980,] 2146 #> [981,] 2141 #> [982,] 2134 #> [983,] 2174 #> [984,] 2140 #> [985,] 2147 #> [986,] 2075 #> [987,] 2127 #> [988,] 2113 #> [989,] 2168 #> [990,] 2113 #> [991,] 2253 #> [992,] 2187 #> [993,] 2238 #> [994,] 2238 #> [995,] 2094 #> [996,] 2142 #> [997,] 2217 #> [998,] 2160 #> [999,] 2207 #> [1000,] 2117 #> [1001,] 2235 #> [1002,] 2086 #> [1003,] 2130 #> [1004,] 2119 #> [1005,] 2084 #> [1006,] 2181 #> [1007,] 2093 #> [1008,] 2062 #> [1009,] 2135 #> [1010,] 2117 #> [1011,] 2058 #> [1012,] 2105 #> [1013,] 2060 #> [1014,] 2073 #> [1015,] 2045 #> [1016,] 2019 #> [1017,] 1989 #> [1018,] 2064 #> [1019,] 1989 #> [1020,] 2025 #> [1021,] 2058 #> [1022,] 1933 #> [1023,] 2032 #> [1024,] 2034 #> [1025,] 1985 #> [1026,] 1945 #> [1027,] 2041 #> [1028,] 2053 #> [1029,] 2086 #> [1030,] 1966 #> [1031,] 2075 #> [1032,] 1984 #> [1033,] 2038 #> [1034,] 2002 #> [1035,] 2030 #> [1036,] 2092 #> [1037,] 1996 #> [1038,] 2059 #> [1039,] 2097 #> [1040,] 2071 #> [1041,] 2150 #> [1042,] 2046 #> [1043,] 1981 #> [1044,] 2152 #> [1045,] 2165 #> [1046,] 2105 #> [1047,] 2186 #> [1048,] 2159 #> [1049,] 2163 #> [1050,] 2202 #> [1051,] 2207 #> [1052,] 2130 #> [1053,] 2191 #> [1054,] 2141 #> [1055,] 2096 #> [1056,] 2211 #> [1057,] 2149 #> [1058,] 2192 #> [1059,] 2177 #> [1060,] 2235 #> [1061,] 2171 #> [1062,] 2142 #> [1063,] 2131 #> [1064,] 2085 #> [1065,] 2097 #> [1066,] 2120 #> [1067,] 2144 #> [1068,] 2064 #> [1069,] 2105 #> [1070,] 2091 #> [1071,] 1897 #> [1072,] 2074 #> [1073,] 1964 #> [1074,] 2039 #> [1075,] 2037 #> [1076,] 1948 #> [1077,] 1992 #> [1078,] 2027 #> [1079,] 1957 #> [1080,] 1941 #> [1081,] 1899 #> [1082,] 1958 #> [1083,] 1856 #> [1084,] 1788 #> [1085,] 1842 #> [1086,] 1751 #> [1087,] 1784 #> [1088,] 1766 #> [1089,] 1807 #> [1090,] 1774 #> [1091,] 1678 #> [1092,] 1704 #> [1093,] 1687 #> [1094,] 1682 #> [1095,] 1639 #> [1096,] 1611 #> [1097,] 1587 #> [1098,] 1571 #> [1099,] 1570 #> [1100,] 1552 #> [1101,] 1548 #> [1102,] 1617 #> [1103,] 1565 #> [1104,] 1506 #> [1105,] 1552 #> [1106,] 1560 #> [1107,] 1473 #> [1108,] 1479 #> [1109,] 1450 #> [1110,] 1421 #> [1111,] 1417 #> [1112,] 1432 #> [1113,] 1441 #> [1114,] 1428 #> [1115,] 1416 #> [1116,] 1424 #> [1117,] 1454 #> [1118,] 1406 #> [1119,] 1435 #> [1120,] 1428 #> [1121,] 1444 #> [1122,] 1480 #> [1123,] 1478 #> [1124,] 1459 #> [1125,] 1525 #> [1126,] 1531 #> [1127,] 1570 #> [1128,] 1589 #> [1129,] 1606 #> [1130,] 1630 #> [1131,] 1707 #> [1132,] 1661 #> [1133,] 1804 #> [1134,] 1842 #> [1135,] 1868 #> [1136,] 1974 #> [1137,] 1966 #> [1138,] 2003 #> [1139,] 2027 #> [1140,] 2068 #> [1141,] 2158 #> [1142,] 2210 #> [1143,] 2216 #> [1144,] 2303 #> [1145,] 2302 #> [1146,] 2421 #> [1147,] 2448 #> [1148,] 2571 #> [1149,] 2640 #> [1150,] 2645 #> [1151,] 2744 #> [1152,] 2822 #> [1153,] 2778 #> [1154,] 2880 #> [1155,] 3108 #> [1156,] 3048 #> [1157,] 3132 #> [1158,] 3156 #> [1159,] 3243 #> [1160,] 3247 #> [1161,] 3248 #> [1162,] 3434 #> [1163,] 3304 #> [1164,] 3286 #> [1165,] 3374 #> [1166,] 3371 #> [1167,] 3489 #> [1168,] 3434 #> [1169,] 3638 #> [1170,] 3525 #> [1171,] 3531 #> [1172,] 3487 #> [1173,] 3469 #> [1174,] 3586 #> [1175,] 3467 #> [1176,] 3497 #> [1177,] 3471 #> [1178,] 3405 #> [1179,] 3342 #> [1180,] 3393 #> [1181,] 3274 #> [1182,] 3206 #> [1183,] 3227 #> [1184,] 3114 #> [1185,] 3073 #> [1186,] 3063 #> [1187,] 2963 #> [1188,] 2954 #> [1189,] 2807 #> [1190,] 2840 #> [1191,] 2795 #> [1192,] 2710 #> [1193,] 2502 #> [1194,] 2492 #> [1195,] 2466 #> [1196,] 2413 #> [1197,] 2319 #> [1198,] 2264 #> [1199,] 2164 #> [1200,] 2161 #> [1201,] 2187 #> [1202,] 1968 #> [1203,] 2069 #> [1204,] 1940 #> [1205,] 1841 #> [1206,] 1815 #> [1207,] 1799 #> [1208,] 1761 #> [1209,] 1654 #> [1210,] 1664 #> [1211,] 1624 #> [1212,] 1534 #> [1213,] 1603 #> [1214,] 1653 #> [1215,] 1460 #> [1216,] 1452 #> [1217,] 1452 #> [1218,] 1515 #> [1219,] 1427 #> [1220,] 1443 #> [1221,] 1448 #> [1222,] 1365 #> [1223,] 1346 #> [1224,] 1350 #> [1225,] 1389 #> [1226,] 1310 #> [1227,] 1322 #> [1228,] 1352 #> [1229,] 1281 #> [1230,] 1280 #> [1231,] 1287 #> [1232,] 1260 #> [1233,] 1275 #> [1234,] 1282 #> [1235,] 1260 #> [1236,] 1253 #> [1237,] 1182 #> [1238,] 1228 #> [1239,] 1208 #> [1240,] 1125 #> [1241,] 1193 #> [1242,] 1097 #> [1243,] 1134 #> [1244,] 1095 #> [1245,] 1147 #> [1246,] 1140 #> [1247,] 1111 #> [1248,] 1103 #> [1249,] 1085 #> [1250,] 1190 #> [1251,] 1047 #> [1252,] 1071 #> [1253,] 1105 #> [1254,] 1065 #> [1255,] 1042 #> [1256,] 1024 #> [1257,] 991 #> [1258,] 960 #> [1259,] 962 #> [1260,] 953 #> [1261,] 964 #> [1262,] 947 #> [1263,] 906 #> [1264,] 919 #> [1265,] 899 #> [1266,] 899 #> [1267,] 889 #> [1268,] 957 #> [1269,] 877 #> [1270,] 902 #> [1271,] 871 #> [1272,] 852 #> [1273,] 857 #> [1274,] 839 #> [1275,] 881 #> [1276,] 807 #> [1277,] 836 #> [1278,] 846 #> [1279,] 802 #> [1280,] 816 #> [1281,] 810 #> [1282,] 833 #> [1283,] 759 #> [1284,] 760 #> [1285,] 805 #> [1286,] 740 #> [1287,] 777 #> [1288,] 771 #> [1289,] 751 #> [1290,] 723 #> [1291,] 759 #> [1292,] 697 #> [1293,] 701 #> [1294,] 709 #> [1295,] 681 #> [1296,] 712 #> [1297,] 684 #> [1298,] 664 #> [1299,] 678 #> [1300,] 715 #> [1301,] 723 #> [1302,] 689 #> [1303,] 711 #> [1304,] 652 #> [1305,] 696 #> [1306,] 665 #> [1307,] 650 #> [1308,] 669 #> [1309,] 664 #> [1310,] 690 #> [1311,] 671 #> [1312,] 635 #> [1313,] 650 #> [1314,] 643 #> [1315,] 635 #> [1316,] 673 #> [1317,] 627 #> [1318,] 670 #> [1319,] 682 #> [1320,] 631 #> [1321,] 605 #> [1322,] 613 #> [1323,] 646 #> [1324,] 656 #> [1325,] 680 #> [1326,] 652 #> [1327,] 616 #> [1328,] 607 #> [1329,] 627 #> [1330,] 654 #> [1331,] 588 #> [1332,] 626 #> [1333,] 635 #> [1334,] 600 #> [1335,] 635 #> [1336,] 579 #> [1337,] 619 #> [1338,] 600 #> [1339,] 612 #> [1340,] 599 #> [1341,] 635 #> [1342,] 611 #> [1343,] 607 #> [1344,] 647 #> [1345,] 602 #> [1346,] 655 #> [1347,] 619 #> [1348,] 670 #> [1349,] 635 #> [1350,] 655 #> [1351,] 652 #> [1352,] 665 #> [1353,] 616 #> [1354,] 651 #> [1355,] 683 #> [1356,] 679 #> [1357,] 666 #> [1358,] 734 #> [1359,] 667 #> [1360,] 726 #> [1361,] 677 #> [1362,] 700 #> [1363,] 700 #> [1364,] 740 #> [1365,] 729 #> [1366,] 773 #> [1367,] 770 #> [1368,] 774 #> [1369,] 820 #> [1370,] 781 #> [1371,] 795 #> [1372,] 834 #> [1373,] 801 #> [1374,] 834 #> [1375,] 882 #> [1376,] 872 #> [1377,] 851 #> [1378,] 922 #> [1379,] 872 #> [1380,] 891 #> [1381,] 921 #> [1382,] 1008 #> [1383,] 930 #> [1384,] 1021 #> [1385,] 1024 #> [1386,] 1014 #> [1387,] 1065 #> [1388,] 1045 #> [1389,] 1092 #> [1390,] 1072 #> [1391,] 1018 #> [1392,] 1055 #> [1393,] 1132 #> [1394,] 1141 #> [1395,] 1137 #> [1396,] 1100 #> [1397,] 1217 #> [1398,] 1151 #> [1399,] 1175 #> [1400,] 1229 #> [1401,] 1150 #> [1402,] 1223 #> [1403,] 1221 #> [1404,] 1180 #> [1405,] 1170 #> [1406,] 1222 #> [1407,] 1191 #> [1408,] 1128 #> [1409,] 1202 #> [1410,] 1191 #> [1411,] 1231 #> [1412,] 1182 #> [1413,] 1187 #> [1414,] 1195 #> [1415,] 1202 #> [1416,] 1261 #> [1417,] 1165 #> [1418,] 1194 #> [1419,] 1207 #> [1420,] 1164 #> [1421,] 1175 #> [1422,] 1128 #> [1423,] 1183 #> [1424,] 1153 #> [1425,] 1151 #> [1426,] 1134 #> [1427,] 1167 #> [1428,] 1195 #> [1429,] 1161 #> [1430,] 1113 #> [1431,] 1141 #> [1432,] 1178 #> [1433,] 1147 #> [1434,] 1166 #> [1435,] 1091 #> [1436,] 1124 #> [1437,] 1202 #> [1438,] 1168 #> [1439,] 1243 #> [1440,] 1171 #> [1441,] 1214 #> [1442,] 1186 #> [1443,] 1123 #> [1444,] 1158 #> [1445,] 1161 #> [1446,] 1143 #> [1447,] 1232 #> [1448,] 1204 #> [1449,] 1148 #> [1450,] 1186 #> [1451,] 1182 #> [1452,] 1186 #> [1453,] 1181 #> [1454,] 1171 #> [1455,] 1175 #> [1456,] 1199 #> [1457,] 1205 #> [1458,] 1161 #> [1459,] 1080 #> [1460,] 1202 #> [1461,] 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[1660,] 274 #> [1661,] 292 #> [1662,] 308 #> [1663,] 308 #> [1664,] 334 #> [1665,] 325 #> [1666,] 344 #> [1667,] 345 #> [1668,] 371 #> [1669,] 382 #> [1670,] 391 #> [1671,] 418 #> [1672,] 416 #> [1673,] 397 #> [1674,] 478 #> [1675,] 477 #> [1676,] 505 #> [1677,] 516 #> [1678,] 514 #> [1679,] 559 #> [1680,] 539 #> [1681,] 584 #> [1682,] 661 #> [1683,] 667 #> [1684,] 623 #> [1685,] 670 #> [1686,] 724 #> [1687,] 777 #> [1688,] 779 #> [1689,] 806 #> [1690,] 873 #> [1691,] 909 #> [1692,] 936 #> [1693,] 969 #> [1694,] 977 #> [1695,] 1024 #> [1696,] 1072 #> [1697,] 1121 #> [1698,] 1159 #> [1699,] 1179 #> [1700,] 1282 #> [1701,] 1228 #> [1702,] 1264 #> [1703,] 1321 #> [1704,] 1362 #> [1705,] 1354 #> [1706,] 1404 #> [1707,] 1460 #> [1708,] 1497 #> [1709,] 1528 #> [1710,] 1495 #> [1711,] 1562 #> [1712,] 1596 #> [1713,] 1663 #> [1714,] 1627 #> [1715,] 1654 #> [1716,] 1697 #> [1717,] 1594 #> [1718,] 1661 #> [1719,] 1690 #> [1720,] 1692 #> [1721,] 1753 #> [1722,] 1711 #> [1723,] 1756 #> [1724,] 1773 #> [1725,] 1656 #> [1726,] 1737 #> [1727,] 1724 #> [1728,] 1759 #> [1729,] 1685 #> [1730,] 1683 #> [1731,] 1767 #> [1732,] 1646 #> [1733,] 1648 #> [1734,] 1572 #> [1735,] 1662 #> [1736,] 1631 #> [1737,] 1574 #> [1738,] 1569 #> [1739,] 1512 #> [1740,] 1541 #> [1741,] 1476 #> [1742,] 1447 #> [1743,] 1413 #> [1744,] 1417 #> [1745,] 1382 #> [1746,] 1364 #> [1747,] 1391 #> [1748,] 1309 #> [1749,] 1249 #> [1750,] 1198 #> [1751,] 1154 #> [1752,] 1146 #> [1753,] 1128 #> [1754,] 1078 #> [1755,] 1019 #> [1756,] 1002 #> [1757,] 954 #> [1758,] 972 #> [1759,] 960 #> [1760,] 922 #> [1761,] 857 #> [1762,] 811 #> [1763,] 832 #> [1764,] 796 #> [1765,] 735 #> [1766,] 717 #> [1767,] 698 #> [1768,] 697 #> [1769,] 679 #> [1770,] 675 #> [1771,] 592 #> [1772,] 613 #> [1773,] 586 #> [1774,] 530 #> [1775,] 536 #> [1776,] 517 #> [1777,] 488 #> [1778,] 461 #> [1779,] 441 #> [1780,] 458 #> [1781,] 391 #> [1782,] 443 #> [1783,] 393 #> [1784,] 413 #> [1785,] 392 #> [1786,] 355 #> [1787,] 345 #> [1788,] 323 #> [1789,] 325 #> [1790,] 317 #> [1791,] 280 #> [1792,] 285 #> [1793,] 287 #> [1794,] 286 #> [1795,] 253 #> [1796,] 269 #> [1797,] 264 #> [1798,] 252 #> [1799,] 241 #> [1800,] 234 #> [1801,] 225 #> [1802,] 214 #> [1803,] 218 #> [1804,] 200 #> [1805,] 243 #> [1806,] 202 #> [1807,] 206 #> [1808,] 203 #> [1809,] 219 #> [1810,] 228 #> [1811,] 174 #> [1812,] 172 #> [1813,] 199 #> [1814,] 174 #> [1815,] 186 #> [1816,] 180 #> [1817,] 160 #> [1818,] 198 #> [1819,] 173 #> [1820,] 177 #> [1821,] 166 #> [1822,] 165 #> [1823,] 175 #> [1824,] 167 #> [1825,] 168 #> [1826,] 187 #> [1827,] 160 #> [1828,] 197 #> [1829,] 152 #> [1830,] 169 #> [1831,] 164 #> [1832,] 175 #> [1833,] 169 #> [1834,] 168 #> [1835,] 150 #> [1836,] 163 #> [1837,] 143 #> [1838,] 147 #> [1839,] 145 #> [1840,] 157 #> [1841,] 150 #> [1842,] 139 #> [1843,] 155 #> [1844,] 156 #> [1845,] 114 #> [1846,] 142 #> [1847,] 141 #> [1848,] 151 #> [1849,] 116 #> [1850,] 142 #> [1851,] 144 #> [1852,] 143 #> [1853,] 145 #> [1854,] 117 #> [1855,] 135 #> [1856,] 142 #> [1857,] 122 #> [1858,] 156 #> [1859,] 145 #> [1860,] 129 #> [1861,] 138 #> [1862,] 136 #> [1863,] 117 #> [1864,] 144 #> [1865,] 149 #> [1866,] 146 #> [1867,] 148 #> [1868,] 109 #> [1869,] 127 #> [1870,] 139 #> [1871,] 135 #> [1872,] 139 #> [1873,] 123 #> [1874,] 137 #> [1875,] 132 #> [1876,] 135 #> [1877,] 153 #> [1878,] 118 #> [1879,] 132 #> [1880,] 108 #> [1881,] 132 #> [1882,] 122 #> [1883,] 120 #> [1884,] 122 #> [1885,] 129 #> [1886,] 128 #> [1887,] 123 #> [1888,] 117 #> [1889,] 131 #> [1890,] 114 #> [1891,] 116 #> [1892,] 125 #> [1893,] 120 #> [1894,] 139 #> [1895,] 115 #> [1896,] 143 #> [1897,] 114 #> [1898,] 118 #> [1899,] 132 #> [1900,] 109 #> [1901,] 124 #> [1902,] 123 #> [1903,] 125 #> [1904,] 140 #> [1905,] 126 #> [1906,] 107 #> [1907,] 122 #> [1908,] 126 #> [1909,] 113 #> [1910,] 116 #> [1911,] 127 #> [1912,] 117 #> [1913,] 114 #> [1914,] 127 #> [1915,] 116 #> [1916,] 133 #> [1917,] 86 #> [1918,] 111 #> [1919,] 101 #> [1920,] 109 #> [1921,] 107 #> [1922,] 108 #> [1923,] 109 #> [1924,] 122 #> [1925,] 111 #> [1926,] 106 #> [1927,] 98 #> [1928,] 98 #> [1929,] 114 #> [1930,] 104 #> [1931,] 88 #> [1932,] 105 #> [1933,] 90 #> [1934,] 97 #> [1935,] 84 #> [1936,] 108 #> [1937,] 101 #> [1938,] 85 #> [1939,] 92 #> [1940,] 89 #> [1941,] 102 #> [1942,] 129 #> [1943,] 95 #> [1944,] 99 #> [1945,] 109 #> [1946,] 98 #> [1947,] 79 #> [1948,] 96 #> [1949,] 89 #> [1950,] 90 #> [1951,] 98 #> [1952,] 108 #> [1953,] 72 #> [1954,] 90 #> [1955,] 73 #> [1956,] 88 #> [1957,] 88 #> [1958,] 77 #> [1959,] 91 #> [1960,] 102 #> [1961,] 79 #> [1962,] 89 #> [1963,] 96 #> [1964,] 72 #> [1965,] 65 #> [1966,] 82 #> [1967,] 76 #> [1968,] 68 #> [1969,] 80 #> [1970,] 81 #> [1971,] 72 #> [1972,] 78 #> [1973,] 67 #> [1974,] 72 #> [1975,] 73 #> [1976,] 66 #> [1977,] 60 #> [1978,] 80 #> [1979,] 76 #> [1980,] 83 #> [1981,] 74 #> [1982,] 65 #> [1983,] 72 #> [1984,] 67 #> [1985,] 55 #> [1986,] 56 #> [1987,] 55 #> [1988,] 89 #> [1989,] 57 #> [1990,] 48 #> [1991,] 67 #> [1992,] 63 #> [1993,] 57 #> [1994,] 72 #> [1995,] 77 #> [1996,] 72 #> [1997,] 55 #> [1998,] 40 #> [1999,] 59 #> [2000,] 65 #> [2001,] 67 #> [2002,] 60 #> [2003,] 56 #> [2004,] 61 #> [2005,] 61 #> [2006,] 65 #> [2007,] 55 #> [2008,] 54 #> [2009,] 50 #> [2010,] 41 #> [2011,] 43 #> [2012,] 55 #> [2013,] 50 #> [2014,] 46 #> [2015,] 65 #> [2016,] 52 #> [2017,] 48 #> [2018,] 51 #> [2019,] 50 #> [2020,] 45 #> [2021,] 37 #> [2022,] 51 #> [2023,] 58 #> [2024,] 57 #> [2025,] 48 #> [2026,] 56 #> [2027,] 57 #> [2028,] 50 #> [2029,] 52 #> [2030,] 60 #> [2031,] 47 #> [2032,] 48 #> [2033,] 50 #> [2034,] 64 #> [2035,] 55 #> [2036,] 46 #> [2037,] 48 #> [2038,] 66 #> [2039,] 42 #> [2040,] 38 #> [2041,] 62 #> [2042,] 49 #> [2043,] 42 #> [2044,] 53 #> [2045,] 42 #> [2046,] 51 #> [2047,] 54 #> [2048,] 68 #> [2049,] 51 #> [2050,] 52 #> if (FALSE) { # \\dontrun{ ##export as file ##create temporary filepath ##(for usage replace by own path) temp_file <- tempfile(pattern = \"output\", fileext = \".TKA\") ##convert and write to file system convert_xy2TKA( object = system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\"), file = temp_file) } # }"},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":null,"dir":"Reference","previous_headings":"","what":"methods_rxylib — methods_rxylib","title":"methods_rxylib — methods_rxylib","text":"S3-methods support package rxylib. Listed functions can passed directly S3 generics (e.g., plot, print) without reshaping data.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"methods_rxylib — methods_rxylib","text":"","code":"# S3 method for class 'rxylib' print(x, ...) # S3 method for class 'rxylib' plot(x, block = NULL, ...)"},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"methods_rxylib — methods_rxylib","text":"x (required): input object ... arguments can passed method block numeric (default): select block plotting, e.g. c(1:2).","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":null,"dir":"Reference","previous_headings":"","what":"Import xy-Data for Supported Formats into R — read_xyData","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"function provides access underlying xylib import data supported file formats R. cases, file path needed arguments import data. function automatically recognises allowed formats. See rxylib-package supported formats.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"","code":"read_xyData(file, options = \"\", verbose = TRUE, metaData = TRUE)"},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"file character (required): path file imported. argument accepts URL. Can character vector list characters. options character (default): set format options (see rxylib-package) verbose logical (default): enables/disables verbose mode metaData logical (default): enables/disables export metadata","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"functions returns list matrices.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"function-version","dir":"Reference","previous_headings":"","what":"Function version","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"0.3.0","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"Sebastian Kreutzer, Institute Geography, Ruprecht-Karl-University Heidelberg (Germany), Johannes Friedrich, University Bayreuth (Germany)","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"how-to-cite","dir":"Reference","previous_headings":"","what":"How to cite","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"Kreutzer, S., Friedrich, J., 2024. read_xyData(): Import xy-Data Supported Formats R. Function version 0.3.0. : Kreutzer, S., Friedrich, J., 2024. rxylib: Import XY-Data R . R package version 0.2.13. https://github.com/R-Lum/rxylib","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"","code":"##load example dataset file <- system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\") results <- read_xyData(file) #> [read_xyData()] File of type Canberra CNF detected ... results #> #> [rxylib-object] #> Imported format:\t Canberra CNF #> Imported blocks: \t 1 #> Dataset has metadata:\t FALSE #> #> << block 1 : Thorit Kalibrierung >> #> .. $data_block \t matrix : 2048 x 2 #> .. $metadata_block \t TRUE ##plot xy-spectrum plot(results, type = \"l\", xlab = \"Energy [keV]\", ylab = \"Counts\", main = \"Thorite - 1800 s\") mtext(side = 3, \"Canberra Inspector 1000, 3 x 3 NaI probe\") ##plot contour for TL-spectrum ##imported from an XSYG-file spectrum <- read_xyData(system.file(\"extdata/TLSpectrum.xsyg\", package = \"rxylib\")) #> [read_xyData()] File of type Freiberg Instruments XSYG detected ... contour( x = spectrum$dataset[[1]]$data_block[,1], y = 1:ncol(spectrum$dataset[[1]]$data_block[,-1]), z = spectrum$dataset[[1]]$data_block[,-1], xlab = \"Wavelength [nm]\", ylab = \"#Channel\", main = \"TL Spectrum\")"},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":null,"dir":"Reference","previous_headings":"","what":"Import XY-Data into R — rxylib-package","title":"Import XY-Data into R — rxylib-package","text":"Provides access 'xylib' C++ library import xy data powder diffraction, spectroscopy experimental methods, like gamma-ray spectrometry. License: GPL-3 | LGPL-2.1 (C++ library 'xylib')","code":""},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Import XY-Data into R — rxylib-package","text":"Funding 2017-2019, work Sebastian Kreutzer maintainer package supported LabEx LaScArBx (ANR - n. ANR-10-LABX-52). 01/2020-04/2022, Sebastian Kreutzer received funding European Union’s Horizon 2020 research innovation programme Marie Skłodowska-Curie grant agreement 844457 (project: CREDit). Supported data formats: library version: 1.6.0","code":""},{"path":[]},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Import XY-Data into R — rxylib-package","text":"Sebastian Kreutzer, Institute Geography, Ruprecht-Karl-University Heidelberg (Germany), Johannes Friedrich (University Bayreuth, Germany), RLum Team (family support), Marcin Wojdyr (maintainer author C++ library xylib), Peng Zhang (author C++ library xylib)","code":""},{"path":"https://r-lum.github.io/rxylib/news/index.html","id":"changes-in-version-0213-2024-08-26","dir":"Changelog","previous_headings":"","what":"Changes in version 0.2.13 (2024-08-26)","title":"Changes in version 0.2.13 (2024-08-26)","text":"version C++17 system requirement. Fix CRAN related documentation error DESCRIPTION.","code":""}]
+[{"path":"https://r-lum.github.io/rxylib/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Sebastian Kreutzer. Author, translator, maintainer. Johannes Friedrich. Author. RLum Team. Contributor. Marcin Wojdyr. Copyright holder. C++ library 'xylib' Peng Zhang. Copyright holder. C++ library 'xylib'","code":""},{"path":"https://r-lum.github.io/rxylib/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Kreutzer S, Friedrich J (2024). rxylib: Import XY-Data R. R package version 0.2.14, https://r-lum.github.io/rxylib/.","code":"@Manual{, title = {rxylib: Import XY-Data into R}, author = {Sebastian Kreutzer and Johannes Friedrich}, year = {2024}, note = {R package version 0.2.14}, url = {https://r-lum.github.io/rxylib/}, }"},{"path":"https://r-lum.github.io/rxylib/index.html","id":"rxylib-","dir":"","previous_headings":"","what":"Import XY-Data into R","title":"Import XY-Data into R","text":"R package rxylib provides access C++ library xylib wrapping library using Rcpp. supported data formats see https://github.com/wojdyr/xylib.","code":""},{"path":[]},{"path":"https://r-lum.github.io/rxylib/index.html","id":"i-requirements","dir":"","previous_headings":"Installation","what":"i. Requirements","title":"Import XY-Data into R","text":"Windows (32/64bit): Rtools (provided CRAN) macOS: Xcode Linux: gcc often comes pre-installed distributions.","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"ii-install-the-package-development-version","dir":"","previous_headings":"Installation","what":"ii. Install the package (development version)","title":"Import XY-Data into R","text":"install stable version CRAN, simply run following R console: install latest development builds directly GitHub, run install developer build 'master', replace term 'master' code line name wanted developer build.","code":"install.packages(\"rxylib\") if(!require(\"devtools\")) install.packages(\"devtools\") devtools::install_github(\"R-Lum/rxylib@master\")"},{"path":"https://r-lum.github.io/rxylib/index.html","id":"related-projects","dir":"","previous_headings":"","what":"Related projects","title":"Import XY-Data into R","text":"rxylibShiny","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"licenses","dir":"","previous_headings":"","what":"Licenses","title":"Import XY-Data into R","text":"Please note package uses two different licences","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"package-rxylib-license","dir":"","previous_headings":"","what":"Package rxylib license","title":"Import XY-Data into R","text":"program free software: can redistribute /modify terms GNU General Public License published Free Software Foundation, either version 3 License, later version. program distributed hope useful, WITHOUT WARRANTY; without even implied warranty MERCHANTABILITY FITNESS PARTICULAR PURPOSE. See GNU General Public License details.","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"library-xylib-license","dir":"","previous_headings":"","what":"Library xylib license","title":"Import XY-Data into R","text":"library part GPL-3 license conditions package available LGPL license conditions cf. https://github.com/wojdyr/xylib","code":""},{"path":"https://r-lum.github.io/rxylib/index.html","id":"id_-funding","dir":"","previous_headings":"","what":"Funding","title":"Import XY-Data into R","text":"2017-2019, work Sebastian Kreutzer maintainer package supported LabEx LaScArBx (ANR - n. ANR-10-LABX-52). 01/2020-04/2022, Sebastian Kreutzer received funding European Union’s Horizon 2020 research innovation programme Marie Skłodowska-Curie grant agreement 844457 (project: CREDit). Since 03/2023, Sebastian Kreutzer maintainer package receives funding DFG Heisenberg programme 505822867.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":null,"dir":"Reference","previous_headings":"","what":"Convert xy-data to TKA — convert_xy2TKA","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Convert data Toolkit file format (TKA) exported , e.g., software Canberra Genie 2000.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Convert xy-data to TKA — convert_xy2TKA","text":"","code":"convert_xy2TKA(object, file = NULL, overwrite = FALSE)"},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Convert xy-data to TKA — convert_xy2TKA","text":"object rxylib (required): xy data imported function read_xyData. Optional file supported rxylib-package can provided input. Arguments can provided list. file character (optional): optional file path file name output written. path provided output file name derived input file name. Argument can provided list. overwrite logical (default): force overwriting existing files TRUE.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Returns list matrix objects output TKA-file.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Supported formats Canberra CNF formats request ...","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"function-version","dir":"Reference","previous_headings":"","what":"Function version","title":"Convert xy-data to TKA — convert_xy2TKA","text":"0.1.1","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Sebastian Kreutzer, Institute Geography, Universität Heidelberg, Germany","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"how-to-cite","dir":"Reference","previous_headings":"","what":"How to cite","title":"Convert xy-data to TKA — convert_xy2TKA","text":"Kreutzer, S., 2024. convert_xy2TKA(): Convert xy-data TKA. Function version 0.1.1. : Kreutzer, S., Friedrich, J., 2024. rxylib: Import XY-Data R . R package version 0.2.14.9000-2. https://r-lum.github.io/rxylib/","code":""},{"path":"https://r-lum.github.io/rxylib/reference/convert_xy2TKA.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Convert xy-data to TKA — convert_xy2TKA","text":"","code":"##convert CNF data (no export to file system) convert_xy2TKA( object = system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\")) #> $`Thorit Kalibrierung` #> [,1] #> [1,] 1662 #> [2,] 1757 #> [3,] 0 #> [4,] 0 #> [5,] 0 #> [6,] 0 #> [7,] 0 #> [8,] 0 #> [9,] 0 #> [10,] 0 #> [11,] 0 #> [12,] 0 #> [13,] 0 #> [14,] 0 #> [15,] 0 #> [16,] 0 #> [17,] 0 #> [18,] 0 #> [19,] 0 #> [20,] 0 #> [21,] 0 #> [22,] 0 #> [23,] 0 #> [24,] 0 #> [25,] 0 #> [26,] 0 #> [27,] 0 #> [28,] 10600 #> [29,] 21498 #> [30,] 20914 #> [31,] 20856 #> [32,] 20406 #> [33,] 21014 #> [34,] 21420 #> [35,] 22219 #> [36,] 22986 #> [37,] 23821 #> [38,] 24000 #> [39,] 23936 #> [40,] 24423 #> [41,] 23822 #> [42,] 23501 #> [43,] 23590 #> [44,] 23977 #> [45,] 24624 #> [46,] 25749 #> [47,] 26887 #> [48,] 28473 #> [49,] 29511 #> [50,] 31089 #> [51,] 31434 #> [52,] 32210 #> [53,] 33013 #> [54,] 34835 #> [55,] 37321 #> [56,] 42376 #> [57,] 48629 #> [58,] 55310 #> [59,] 62075 #> [60,] 66424 #> [61,] 67942 #> [62,] 67311 #> [63,] 64419 #> [64,] 61673 #> [65,] 61593 #> [66,] 64529 #> [67,] 71201 #> [68,] 81396 #> [69,] 93400 #> [70,] 103867 #> [71,] 112217 #> [72,] 117287 #> [73,] 116348 #> [74,] 111774 #> [75,] 102572 #> [76,] 93502 #> [77,] 83337 #> [78,] 75946 #> [79,] 70295 #> [80,] 65420 #> [81,] 62261 #> [82,] 59859 #> [83,] 56067 #> [84,] 52642 #> [85,] 48164 #> [86,] 43581 #> [87,] 39958 #> [88,] 36630 #> [89,] 35060 #> [90,] 33440 #> [91,] 32670 #> [92,] 32532 #> [93,] 32853 #> [94,] 33123 #> [95,] 33749 #> [96,] 34391 #> [97,] 35023 #> [98,] 35460 #> [99,] 35981 #> [100,] 36196 #> [101,] 36536 #> [102,] 37191 #> [103,] 37612 #> [104,] 37867 #> [105,] 38360 #> [106,] 38857 #> [107,] 39100 #> [108,] 39267 #> [109,] 39854 #> [110,] 40209 #> [111,] 40118 #> [112,] 40268 #> [113,] 40438 #> [114,] 40151 #> [115,] 40102 #> [116,] 40462 #> [117,] 40272 #> [118,] 39907 #> [119,] 39747 #> [120,] 39890 #> [121,] 39095 #> [122,] 39119 #> [123,] 38851 #> [124,] 39173 #> [125,] 39422 #> [126,] 39545 #> [127,] 39650 #> [128,] 40182 #> [129,] 40675 #> [130,] 41415 #> [131,] 43314 #> [132,] 43333 #> [133,] 44304 #> [134,] 44825 #> [135,] 44771 #> [136,] 45207 #> [137,] 45023 #> [138,] 44228 #> [139,] 43820 #> [140,] 43483 #> [141,] 42526 #> [142,] 41798 #> [143,] 41281 #> [144,] 40813 #> [145,] 40983 #> [146,] 40323 #> [147,] 40479 #> [148,] 40513 #> [149,] 40689 #> [150,] 40013 #> [151,] 39819 #> [152,] 39600 #> [153,] 39155 #> [154,] 39124 #> [155,] 38257 #> [156,] 38607 #> [157,] 38644 #> [158,] 39431 #> [159,] 40088 #> [160,] 41435 #> [161,] 43465 #> [162,] 46393 #> [163,] 49603 #> [164,] 53263 #> [165,] 58260 #> [166,] 62565 #> [167,] 66095 #> [168,] 69783 #> [169,] 72609 #> [170,] 74527 #> [171,] 74979 #> [172,] 74971 #> [173,] 73757 #> [174,] 71775 #> [175,] 69069 #> [176,] 65283 #> [177,] 61220 #> [178,] 57086 #> [179,] 52495 #> [180,] 48377 #> [181,] 44591 #> [182,] 41367 #> [183,] 38163 #> [184,] 36106 #> [185,] 34229 #> [186,] 32832 #> [187,] 31330 #> [188,] 30942 #> [189,] 30619 #> [190,] 30528 #> [191,] 30323 #> [192,] 30389 #> [193,] 30611 #> [194,] 30736 #> [195,] 30942 #> [196,] 31808 #> [197,] 32055 #> [198,] 33112 #> [199,] 34313 #> [200,] 35259 #> [201,] 36780 #> [202,] 37389 #> [203,] 38844 #> [204,] 40548 #> [205,] 41401 #> [206,] 42361 #> [207,] 43205 #> [208,] 43633 #> [209,] 43655 #> [210,] 43625 #> [211,] 43043 #> [212,] 42098 #> [213,] 41486 #> [214,] 40137 #> [215,] 38692 #> [216,] 36833 #> [217,] 35040 #> [218,] 33447 #> [219,] 31517 #> [220,] 30179 #> [221,] 28549 #> [222,] 27332 #> [223,] 26493 #> [224,] 25613 #> [225,] 25136 #> [226,] 24730 #> [227,] 25172 #> [228,] 25841 #> [229,] 26581 #> [230,] 27568 #> [231,] 29015 #> [232,] 30435 #> [233,] 32320 #> [234,] 34404 #> [235,] 36695 #> [236,] 39125 #> [237,] 41552 #> [238,] 43814 #> [239,] 45860 #> [240,] 48274 #> [241,] 50239 #> [242,] 51812 #> [243,] 53973 #> [244,] 54744 #> [245,] 56048 #> [246,] 56901 #> [247,] 56916 #> [248,] 56077 #> [249,] 55764 #> [250,] 54235 #> [251,] 52994 #> [252,] 50723 #> [253,] 48758 #> [254,] 46224 #> [255,] 42858 #> [256,] 40407 #> [257,] 37233 #> [258,] 34424 #> [259,] 31341 #> [260,] 29234 #> [261,] 25958 #> [262,] 24113 #> [263,] 22055 #> [264,] 20455 #> [265,] 18866 #> [266,] 17612 #> [267,] 16494 #> [268,] 15735 #> [269,] 15317 #> [270,] 15015 #> [271,] 14746 #> [272,] 14576 #> [273,] 14281 #> [274,] 14103 #> [275,] 14028 #> [276,] 13986 #> [277,] 14130 #> [278,] 14087 #> [279,] 13924 #> [280,] 14100 #> [281,] 13928 #> [282,] 13837 #> [283,] 13648 #> [284,] 13492 #> [285,] 13478 #> [286,] 13399 #> [287,] 13354 #> [288,] 13197 #> [289,] 13038 #> [290,] 12902 #> [291,] 12335 #> [292,] 12419 #> [293,] 12366 #> [294,] 11974 #> [295,] 11883 #> [296,] 11771 #> [297,] 11665 #> [298,] 11417 #> [299,] 11282 #> [300,] 11134 #> [301,] 11110 #> [302,] 11093 #> [303,] 10953 #> [304,] 11046 #> [305,] 11087 #> [306,] 11160 #> [307,] 10946 #> [308,] 11137 #> [309,] 11124 #> [310,] 11324 #> [311,] 11416 #> [312,] 11317 #> [313,] 11727 #> [314,] 11920 #> [315,] 11988 #> [316,] 11813 #> [317,] 12101 #> [318,] 12133 #> [319,] 12080 #> [320,] 12180 #> [321,] 12399 #> [322,] 12291 #> [323,] 12378 #> [324,] 12402 #> [325,] 12039 #> [326,] 12089 #> [327,] 12179 #> [328,] 12144 #> [329,] 12029 #> [330,] 11906 #> [331,] 11844 #> [332,] 11861 #> [333,] 11798 #> [334,] 11790 #> [335,] 11905 #> [336,] 11820 #> [337,] 11732 #> [338,] 11664 #> [339,] 11772 #> [340,] 11884 #> [341,] 11928 #> [342,] 11889 #> [343,] 12163 #> [344,] 12399 #> [345,] 12423 #> [346,] 12592 #> [347,] 12677 #> [348,] 12952 #> [349,] 12944 #> [350,] 13299 #> [351,] 13315 #> [352,] 13409 #> [353,] 13486 #> [354,] 13476 #> [355,] 13572 #> [356,] 13535 #> [357,] 13340 #> [358,] 13377 #> [359,] 13070 #> [360,] 12945 #> [361,] 12657 #> [362,] 12399 #> [363,] 12303 #> [364,] 12032 #> [365,] 11839 #> [366,] 11511 #> [367,] 11424 #> [368,] 11139 #> [369,] 10731 #> [370,] 10530 #> [371,] 10387 #> [372,] 10119 #> [373,] 10066 #> [374,] 10026 #> [375,] 10030 #> [376,] 9906 #> [377,] 10056 #> [378,] 10124 #> [379,] 10204 #> [380,] 10445 #> [381,] 10657 #> [382,] 10837 #> [383,] 11128 #> [384,] 11445 #> [385,] 11968 #> [386,] 12420 #> [387,] 13013 #> [388,] 13601 #> [389,] 14014 #> [390,] 14764 #> [391,] 15377 #> [392,] 16241 #> [393,] 17051 #> [394,] 18067 #> [395,] 18903 #> [396,] 19653 #> [397,] 20514 #> [398,] 21635 #> [399,] 22586 #> [400,] 23678 #> [401,] 24647 #> [402,] 25380 #> [403,] 26162 #> [404,] 26985 #> [405,] 28228 #> [406,] 29000 #> [407,] 29995 #> [408,] 30773 #> [409,] 31147 #> [410,] 31708 #> [411,] 32580 #> [412,] 33072 #> [413,] 33591 #> [414,] 34028 #> [415,] 34038 #> [416,] 34240 #> [417,] 34591 #> [418,] 34590 #> [419,] 34053 #> [420,] 33570 #> [421,] 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[553,] 7053 #> [554,] 6790 #> [555,] 6877 #> [556,] 6805 #> [557,] 6798 #> [558,] 6511 #> [559,] 6557 #> [560,] 6493 #> [561,] 6619 #> [562,] 6459 #> [563,] 6355 #> [564,] 6334 #> [565,] 6298 #> [566,] 6380 #> [567,] 6246 #> [568,] 6336 #> [569,] 6295 #> [570,] 6213 #> [571,] 6343 #> [572,] 6289 #> [573,] 6245 #> [574,] 6268 #> [575,] 6132 #> [576,] 6316 #> [577,] 6289 #> [578,] 6265 #> [579,] 6229 #> [580,] 6295 #> [581,] 6209 #> [582,] 6350 #> [583,] 6310 #> [584,] 6337 #> [585,] 6351 #> [586,] 6356 #> [587,] 6359 #> [588,] 6491 #> [589,] 6421 #> [590,] 6550 #> [591,] 6702 #> [592,] 6556 #> [593,] 6741 #> [594,] 6780 #> [595,] 6966 #> [596,] 7176 #> [597,] 7103 #> [598,] 7498 #> [599,] 7791 #> [600,] 7645 #> [601,] 7993 #> [602,] 8109 #> [603,] 8160 #> [604,] 8362 #> [605,] 8640 #> [606,] 8910 #> [607,] 9187 #> [608,] 9209 #> [609,] 9624 #> [610,] 9647 #> [611,] 9929 #> [612,] 10157 #> [613,] 10372 #> [614,] 10487 #> [615,] 10701 #> [616,] 10706 #> [617,] 10671 #> [618,] 10875 #> [619,] 10935 #> [620,] 11101 #> [621,] 10867 #> [622,] 10996 #> [623,] 11017 #> [624,] 10736 #> [625,] 10946 #> [626,] 10749 #> [627,] 10711 #> [628,] 10507 #> [629,] 10495 #> [630,] 10395 #> [631,] 10279 #> [632,] 10000 #> [633,] 9761 #> [634,] 9786 #> [635,] 9722 #> [636,] 9518 #> [637,] 9571 #> [638,] 9312 #> [639,] 9266 #> [640,] 9452 #> [641,] 9083 #> [642,] 9242 #> [643,] 9002 #> [644,] 8873 #> [645,] 9116 #> [646,] 9182 #> [647,] 8841 #> [648,] 9042 #> [649,] 8979 #> [650,] 9053 #> [651,] 8765 #> [652,] 8908 #> [653,] 8806 #> [654,] 8636 #> [655,] 8787 #> [656,] 8431 #> [657,] 8424 #> [658,] 8430 #> [659,] 8380 #> [660,] 8081 #> [661,] 8092 #> [662,] 7847 #> [663,] 7726 #> [664,] 7649 #> [665,] 7409 #> [666,] 7253 #> [667,] 7206 #> [668,] 6883 #> [669,] 6603 #> [670,] 6479 #> [671,] 6225 #> [672,] 6203 #> [673,] 5965 #> [674,] 5661 #> [675,] 5346 #> [676,] 5291 #> [677,] 5374 #> [678,] 4936 #> [679,] 4901 #> [680,] 4631 #> [681,] 4515 #> [682,] 4402 #> [683,] 4186 #> [684,] 4147 #> [685,] 3993 #> [686,] 3842 #> [687,] 3682 #> [688,] 3632 #> [689,] 3600 #> [690,] 3669 #> [691,] 3394 #> [692,] 3471 #> [693,] 3320 #> [694,] 3285 #> [695,] 3269 #> [696,] 3183 #> [697,] 3158 #> [698,] 3023 #> [699,] 3029 #> [700,] 3039 #> [701,] 2990 #> [702,] 2977 #> [703,] 2972 #> [704,] 2975 #> [705,] 3002 #> [706,] 2978 #> [707,] 2977 #> [708,] 2962 #> [709,] 3021 #> [710,] 2965 #> [711,] 2971 #> [712,] 2866 #> [713,] 3103 #> [714,] 3163 #> [715,] 3026 #> [716,] 3127 #> [717,] 3181 #> [718,] 3183 #> [719,] 3249 #> [720,] 3387 #> [721,] 3402 #> [722,] 3445 #> [723,] 3468 #> [724,] 3479 #> [725,] 3514 #> [726,] 3560 #> [727,] 3682 #> [728,] 3783 #> [729,] 3971 #> [730,] 4011 #> [731,] 4193 #> [732,] 4232 #> [733,] 4296 #> [734,] 4410 #> [735,] 4498 #> [736,] 4655 #> [737,] 4893 #> [738,] 4860 #> [739,] 5184 #> [740,] 5233 #> [741,] 5492 #> [742,] 5428 #> [743,] 5680 #> [744,] 5793 #> [745,] 5920 #> [746,] 6000 #> [747,] 6022 #> [748,] 6108 #> [749,] 6312 #> [750,] 6342 #> [751,] 6277 #> [752,] 6329 #> [753,] 6409 #> [754,] 6419 #> [755,] 6607 #> [756,] 6640 #> [757,] 6502 #> [758,] 6474 #> [759,] 6389 #> [760,] 6465 #> [761,] 6257 #> [762,] 6191 #> [763,] 6063 #> [764,] 6070 #> [765,] 6035 #> [766,] 5845 #> [767,] 5715 #> [768,] 5514 #> [769,] 5542 #> [770,] 5449 #> [771,] 5414 #> [772,] 5018 #> [773,] 4982 #> [774,] 4755 #> [775,] 4789 #> [776,] 4547 #> [777,] 4576 #> [778,] 4244 #> [779,] 4148 #> [780,] 4234 #> [781,] 4009 #> [782,] 3825 #> [783,] 3695 #> [784,] 3666 #> [785,] 3599 #> [786,] 3466 #> [787,] 3321 #> [788,] 3256 #> [789,] 3204 #> [790,] 3192 #> [791,] 3089 #> [792,] 3000 #> [793,] 3039 #> [794,] 2929 #> [795,] 3002 #> [796,] 2933 #> [797,] 2813 #> [798,] 2837 #> [799,] 2736 #> [800,] 2821 #> [801,] 2736 #> [802,] 2850 #> [803,] 2738 #> [804,] 2771 #> [805,] 2855 #> [806,] 2814 #> [807,] 2814 #> [808,] 2784 #> [809,] 2829 #> [810,] 2861 #> [811,] 2866 #> [812,] 2841 #> [813,] 2961 #> [814,] 3033 #> [815,] 2947 #> [816,] 2991 #> [817,] 3124 #> [818,] 3246 #> [819,] 3179 #> [820,] 3158 #> [821,] 3131 #> [822,] 3229 #> [823,] 3345 #> [824,] 3320 #> [825,] 3318 #> [826,] 3448 #> [827,] 3349 #> [828,] 3412 #> [829,] 3584 #> [830,] 3562 #> [831,] 3441 #> [832,] 3575 #> [833,] 3491 #> [834,] 3361 #> [835,] 3602 #> [836,] 3392 #> [837,] 3461 #> [838,] 3504 #> [839,] 3515 #> [840,] 3465 #> [841,] 3293 #> [842,] 3309 #> [843,] 3318 #> [844,] 3305 #> [845,] 3368 #> [846,] 3324 #> [847,] 3320 #> [848,] 3194 #> [849,] 3150 #> [850,] 3226 #> [851,] 3032 #> [852,] 3049 #> [853,] 3032 #> [854,] 2965 #> [855,] 3067 #> [856,] 2997 #> [857,] 2978 #> [858,] 2887 #> [859,] 2763 #> [860,] 2836 #> [861,] 2725 #> [862,] 2752 #> [863,] 2650 #> [864,] 2674 #> [865,] 2566 #> [866,] 2657 #> [867,] 2456 #> [868,] 2546 #> [869,] 2448 #> [870,] 2376 #> [871,] 2327 #> [872,] 2413 #> [873,] 2257 #> [874,] 2331 #> [875,] 2288 #> [876,] 2341 #> [877,] 2298 #> [878,] 2243 #> [879,] 2196 #> [880,] 2237 #> [881,] 2183 #> [882,] 2159 #> [883,] 2206 #> [884,] 2211 #> [885,] 2221 #> [886,] 2115 #> [887,] 2188 #> [888,] 2144 #> [889,] 2215 #> [890,] 2313 #> [891,] 2153 #> [892,] 2229 #> [893,] 2207 #> [894,] 2320 #> [895,] 2276 #> [896,] 2204 #> [897,] 2349 #> [898,] 2318 #> [899,] 2362 #> [900,] 2378 #> [901,] 2447 #> [902,] 2460 #> [903,] 2550 #> [904,] 2589 #> [905,] 2545 #> [906,] 2689 #> [907,] 2673 #> [908,] 2718 #> [909,] 2795 #> [910,] 2751 #> [911,] 2820 #> [912,] 2924 #> [913,] 2891 #> [914,] 3023 #> [915,] 2976 #> [916,] 3036 #> [917,] 2918 #> [918,] 3073 #> [919,] 3121 #> [920,] 3115 #> [921,] 3005 #> [922,] 3141 #> [923,] 3176 #> [924,] 3202 #> [925,] 3165 #> [926,] 3236 #> [927,] 3187 #> [928,] 3296 #> [929,] 3248 #> [930,] 3214 #> [931,] 3244 #> [932,] 3236 #> [933,] 3177 #> [934,] 3306 #> [935,] 3261 #> [936,] 3253 #> [937,] 3222 #> [938,] 3191 #> [939,] 3076 #> [940,] 3131 #> [941,] 3093 #> [942,] 3015 #> [943,] 3077 #> [944,] 3075 #> [945,] 3029 #> [946,] 2917 #> [947,] 2871 #> [948,] 2863 #> [949,] 2822 #> [950,] 2819 #> [951,] 2811 #> [952,] 2741 #> [953,] 2639 #> [954,] 2570 #> [955,] 2655 #> [956,] 2623 #> [957,] 2632 #> [958,] 2524 #> [959,] 2479 #> [960,] 2452 #> [961,] 2498 #> [962,] 2441 #> [963,] 2335 #> [964,] 2304 #> [965,] 2344 #> [966,] 2362 #> [967,] 2286 #> [968,] 2268 #> [969,] 2275 #> [970,] 2272 #> [971,] 2199 #> [972,] 2181 #> [973,] 2253 #> [974,] 2109 #> [975,] 2276 #> [976,] 2191 #> [977,] 2149 #> [978,] 2219 #> [979,] 2196 #> [980,] 2146 #> [981,] 2141 #> [982,] 2134 #> [983,] 2174 #> [984,] 2140 #> [985,] 2147 #> [986,] 2075 #> [987,] 2127 #> [988,] 2113 #> [989,] 2168 #> [990,] 2113 #> [991,] 2253 #> [992,] 2187 #> [993,] 2238 #> [994,] 2238 #> [995,] 2094 #> [996,] 2142 #> [997,] 2217 #> [998,] 2160 #> [999,] 2207 #> [1000,] 2117 #> [1001,] 2235 #> [1002,] 2086 #> [1003,] 2130 #> [1004,] 2119 #> [1005,] 2084 #> [1006,] 2181 #> [1007,] 2093 #> [1008,] 2062 #> [1009,] 2135 #> [1010,] 2117 #> [1011,] 2058 #> [1012,] 2105 #> [1013,] 2060 #> [1014,] 2073 #> [1015,] 2045 #> [1016,] 2019 #> [1017,] 1989 #> [1018,] 2064 #> [1019,] 1989 #> [1020,] 2025 #> [1021,] 2058 #> [1022,] 1933 #> [1023,] 2032 #> [1024,] 2034 #> [1025,] 1985 #> [1026,] 1945 #> [1027,] 2041 #> [1028,] 2053 #> [1029,] 2086 #> [1030,] 1966 #> [1031,] 2075 #> [1032,] 1984 #> [1033,] 2038 #> [1034,] 2002 #> [1035,] 2030 #> [1036,] 2092 #> [1037,] 1996 #> [1038,] 2059 #> [1039,] 2097 #> [1040,] 2071 #> [1041,] 2150 #> [1042,] 2046 #> [1043,] 1981 #> [1044,] 2152 #> [1045,] 2165 #> [1046,] 2105 #> [1047,] 2186 #> [1048,] 2159 #> [1049,] 2163 #> [1050,] 2202 #> [1051,] 2207 #> [1052,] 2130 #> [1053,] 2191 #> [1054,] 2141 #> [1055,] 2096 #> [1056,] 2211 #> [1057,] 2149 #> [1058,] 2192 #> [1059,] 2177 #> [1060,] 2235 #> [1061,] 2171 #> [1062,] 2142 #> [1063,] 2131 #> [1064,] 2085 #> [1065,] 2097 #> [1066,] 2120 #> [1067,] 2144 #> [1068,] 2064 #> [1069,] 2105 #> [1070,] 2091 #> [1071,] 1897 #> [1072,] 2074 #> [1073,] 1964 #> [1074,] 2039 #> [1075,] 2037 #> [1076,] 1948 #> [1077,] 1992 #> [1078,] 2027 #> [1079,] 1957 #> [1080,] 1941 #> [1081,] 1899 #> [1082,] 1958 #> [1083,] 1856 #> [1084,] 1788 #> [1085,] 1842 #> [1086,] 1751 #> [1087,] 1784 #> [1088,] 1766 #> [1089,] 1807 #> [1090,] 1774 #> [1091,] 1678 #> [1092,] 1704 #> [1093,] 1687 #> [1094,] 1682 #> [1095,] 1639 #> [1096,] 1611 #> [1097,] 1587 #> [1098,] 1571 #> [1099,] 1570 #> [1100,] 1552 #> [1101,] 1548 #> [1102,] 1617 #> [1103,] 1565 #> [1104,] 1506 #> [1105,] 1552 #> [1106,] 1560 #> [1107,] 1473 #> [1108,] 1479 #> [1109,] 1450 #> [1110,] 1421 #> [1111,] 1417 #> [1112,] 1432 #> [1113,] 1441 #> [1114,] 1428 #> [1115,] 1416 #> [1116,] 1424 #> [1117,] 1454 #> [1118,] 1406 #> [1119,] 1435 #> [1120,] 1428 #> [1121,] 1444 #> [1122,] 1480 #> [1123,] 1478 #> [1124,] 1459 #> [1125,] 1525 #> [1126,] 1531 #> [1127,] 1570 #> [1128,] 1589 #> [1129,] 1606 #> [1130,] 1630 #> [1131,] 1707 #> [1132,] 1661 #> [1133,] 1804 #> [1134,] 1842 #> [1135,] 1868 #> [1136,] 1974 #> [1137,] 1966 #> [1138,] 2003 #> [1139,] 2027 #> [1140,] 2068 #> [1141,] 2158 #> [1142,] 2210 #> [1143,] 2216 #> [1144,] 2303 #> [1145,] 2302 #> [1146,] 2421 #> [1147,] 2448 #> [1148,] 2571 #> [1149,] 2640 #> [1150,] 2645 #> [1151,] 2744 #> [1152,] 2822 #> [1153,] 2778 #> [1154,] 2880 #> [1155,] 3108 #> [1156,] 3048 #> [1157,] 3132 #> [1158,] 3156 #> [1159,] 3243 #> [1160,] 3247 #> [1161,] 3248 #> [1162,] 3434 #> [1163,] 3304 #> [1164,] 3286 #> [1165,] 3374 #> [1166,] 3371 #> [1167,] 3489 #> [1168,] 3434 #> [1169,] 3638 #> [1170,] 3525 #> [1171,] 3531 #> [1172,] 3487 #> [1173,] 3469 #> [1174,] 3586 #> [1175,] 3467 #> [1176,] 3497 #> [1177,] 3471 #> [1178,] 3405 #> [1179,] 3342 #> [1180,] 3393 #> [1181,] 3274 #> [1182,] 3206 #> [1183,] 3227 #> [1184,] 3114 #> [1185,] 3073 #> [1186,] 3063 #> [1187,] 2963 #> [1188,] 2954 #> [1189,] 2807 #> [1190,] 2840 #> [1191,] 2795 #> [1192,] 2710 #> [1193,] 2502 #> [1194,] 2492 #> [1195,] 2466 #> [1196,] 2413 #> [1197,] 2319 #> [1198,] 2264 #> [1199,] 2164 #> [1200,] 2161 #> [1201,] 2187 #> [1202,] 1968 #> [1203,] 2069 #> [1204,] 1940 #> [1205,] 1841 #> [1206,] 1815 #> [1207,] 1799 #> [1208,] 1761 #> [1209,] 1654 #> [1210,] 1664 #> [1211,] 1624 #> [1212,] 1534 #> [1213,] 1603 #> [1214,] 1653 #> [1215,] 1460 #> [1216,] 1452 #> [1217,] 1452 #> [1218,] 1515 #> [1219,] 1427 #> [1220,] 1443 #> [1221,] 1448 #> [1222,] 1365 #> [1223,] 1346 #> [1224,] 1350 #> [1225,] 1389 #> [1226,] 1310 #> [1227,] 1322 #> [1228,] 1352 #> [1229,] 1281 #> [1230,] 1280 #> [1231,] 1287 #> [1232,] 1260 #> [1233,] 1275 #> [1234,] 1282 #> [1235,] 1260 #> [1236,] 1253 #> [1237,] 1182 #> [1238,] 1228 #> [1239,] 1208 #> [1240,] 1125 #> [1241,] 1193 #> [1242,] 1097 #> [1243,] 1134 #> [1244,] 1095 #> [1245,] 1147 #> [1246,] 1140 #> [1247,] 1111 #> [1248,] 1103 #> [1249,] 1085 #> [1250,] 1190 #> [1251,] 1047 #> [1252,] 1071 #> [1253,] 1105 #> [1254,] 1065 #> [1255,] 1042 #> [1256,] 1024 #> [1257,] 991 #> [1258,] 960 #> [1259,] 962 #> [1260,] 953 #> [1261,] 964 #> [1262,] 947 #> [1263,] 906 #> [1264,] 919 #> [1265,] 899 #> [1266,] 899 #> [1267,] 889 #> [1268,] 957 #> [1269,] 877 #> [1270,] 902 #> [1271,] 871 #> [1272,] 852 #> [1273,] 857 #> [1274,] 839 #> [1275,] 881 #> [1276,] 807 #> [1277,] 836 #> [1278,] 846 #> [1279,] 802 #> [1280,] 816 #> [1281,] 810 #> [1282,] 833 #> [1283,] 759 #> [1284,] 760 #> [1285,] 805 #> [1286,] 740 #> [1287,] 777 #> [1288,] 771 #> [1289,] 751 #> [1290,] 723 #> [1291,] 759 #> [1292,] 697 #> [1293,] 701 #> [1294,] 709 #> [1295,] 681 #> [1296,] 712 #> [1297,] 684 #> [1298,] 664 #> [1299,] 678 #> [1300,] 715 #> [1301,] 723 #> [1302,] 689 #> [1303,] 711 #> [1304,] 652 #> [1305,] 696 #> [1306,] 665 #> [1307,] 650 #> [1308,] 669 #> [1309,] 664 #> [1310,] 690 #> [1311,] 671 #> [1312,] 635 #> [1313,] 650 #> [1314,] 643 #> [1315,] 635 #> [1316,] 673 #> [1317,] 627 #> [1318,] 670 #> [1319,] 682 #> [1320,] 631 #> [1321,] 605 #> [1322,] 613 #> [1323,] 646 #> [1324,] 656 #> [1325,] 680 #> [1326,] 652 #> [1327,] 616 #> [1328,] 607 #> [1329,] 627 #> [1330,] 654 #> [1331,] 588 #> [1332,] 626 #> [1333,] 635 #> [1334,] 600 #> [1335,] 635 #> [1336,] 579 #> [1337,] 619 #> [1338,] 600 #> [1339,] 612 #> [1340,] 599 #> [1341,] 635 #> [1342,] 611 #> [1343,] 607 #> [1344,] 647 #> [1345,] 602 #> [1346,] 655 #> [1347,] 619 #> [1348,] 670 #> [1349,] 635 #> [1350,] 655 #> [1351,] 652 #> [1352,] 665 #> [1353,] 616 #> [1354,] 651 #> [1355,] 683 #> [1356,] 679 #> [1357,] 666 #> [1358,] 734 #> [1359,] 667 #> [1360,] 726 #> [1361,] 677 #> [1362,] 700 #> [1363,] 700 #> [1364,] 740 #> [1365,] 729 #> [1366,] 773 #> [1367,] 770 #> [1368,] 774 #> [1369,] 820 #> [1370,] 781 #> [1371,] 795 #> [1372,] 834 #> [1373,] 801 #> [1374,] 834 #> [1375,] 882 #> [1376,] 872 #> [1377,] 851 #> [1378,] 922 #> [1379,] 872 #> [1380,] 891 #> [1381,] 921 #> [1382,] 1008 #> [1383,] 930 #> [1384,] 1021 #> [1385,] 1024 #> [1386,] 1014 #> [1387,] 1065 #> [1388,] 1045 #> [1389,] 1092 #> [1390,] 1072 #> [1391,] 1018 #> [1392,] 1055 #> [1393,] 1132 #> [1394,] 1141 #> [1395,] 1137 #> [1396,] 1100 #> [1397,] 1217 #> [1398,] 1151 #> [1399,] 1175 #> [1400,] 1229 #> [1401,] 1150 #> [1402,] 1223 #> [1403,] 1221 #> [1404,] 1180 #> [1405,] 1170 #> [1406,] 1222 #> [1407,] 1191 #> [1408,] 1128 #> [1409,] 1202 #> [1410,] 1191 #> [1411,] 1231 #> [1412,] 1182 #> [1413,] 1187 #> [1414,] 1195 #> [1415,] 1202 #> [1416,] 1261 #> [1417,] 1165 #> [1418,] 1194 #> [1419,] 1207 #> [1420,] 1164 #> [1421,] 1175 #> [1422,] 1128 #> [1423,] 1183 #> [1424,] 1153 #> [1425,] 1151 #> [1426,] 1134 #> [1427,] 1167 #> [1428,] 1195 #> [1429,] 1161 #> [1430,] 1113 #> [1431,] 1141 #> [1432,] 1178 #> [1433,] 1147 #> [1434,] 1166 #> [1435,] 1091 #> [1436,] 1124 #> [1437,] 1202 #> [1438,] 1168 #> [1439,] 1243 #> [1440,] 1171 #> [1441,] 1214 #> [1442,] 1186 #> [1443,] 1123 #> [1444,] 1158 #> [1445,] 1161 #> [1446,] 1143 #> [1447,] 1232 #> [1448,] 1204 #> [1449,] 1148 #> [1450,] 1186 #> [1451,] 1182 #> [1452,] 1186 #> [1453,] 1181 #> [1454,] 1171 #> [1455,] 1175 #> [1456,] 1199 #> [1457,] 1205 #> [1458,] 1161 #> [1459,] 1080 #> [1460,] 1202 #> [1461,] 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[1660,] 274 #> [1661,] 292 #> [1662,] 308 #> [1663,] 308 #> [1664,] 334 #> [1665,] 325 #> [1666,] 344 #> [1667,] 345 #> [1668,] 371 #> [1669,] 382 #> [1670,] 391 #> [1671,] 418 #> [1672,] 416 #> [1673,] 397 #> [1674,] 478 #> [1675,] 477 #> [1676,] 505 #> [1677,] 516 #> [1678,] 514 #> [1679,] 559 #> [1680,] 539 #> [1681,] 584 #> [1682,] 661 #> [1683,] 667 #> [1684,] 623 #> [1685,] 670 #> [1686,] 724 #> [1687,] 777 #> [1688,] 779 #> [1689,] 806 #> [1690,] 873 #> [1691,] 909 #> [1692,] 936 #> [1693,] 969 #> [1694,] 977 #> [1695,] 1024 #> [1696,] 1072 #> [1697,] 1121 #> [1698,] 1159 #> [1699,] 1179 #> [1700,] 1282 #> [1701,] 1228 #> [1702,] 1264 #> [1703,] 1321 #> [1704,] 1362 #> [1705,] 1354 #> [1706,] 1404 #> [1707,] 1460 #> [1708,] 1497 #> [1709,] 1528 #> [1710,] 1495 #> [1711,] 1562 #> [1712,] 1596 #> [1713,] 1663 #> [1714,] 1627 #> [1715,] 1654 #> [1716,] 1697 #> [1717,] 1594 #> [1718,] 1661 #> [1719,] 1690 #> [1720,] 1692 #> [1721,] 1753 #> [1722,] 1711 #> [1723,] 1756 #> [1724,] 1773 #> [1725,] 1656 #> [1726,] 1737 #> [1727,] 1724 #> [1728,] 1759 #> [1729,] 1685 #> [1730,] 1683 #> [1731,] 1767 #> [1732,] 1646 #> [1733,] 1648 #> [1734,] 1572 #> [1735,] 1662 #> [1736,] 1631 #> [1737,] 1574 #> [1738,] 1569 #> [1739,] 1512 #> [1740,] 1541 #> [1741,] 1476 #> [1742,] 1447 #> [1743,] 1413 #> [1744,] 1417 #> [1745,] 1382 #> [1746,] 1364 #> [1747,] 1391 #> [1748,] 1309 #> [1749,] 1249 #> [1750,] 1198 #> [1751,] 1154 #> [1752,] 1146 #> [1753,] 1128 #> [1754,] 1078 #> [1755,] 1019 #> [1756,] 1002 #> [1757,] 954 #> [1758,] 972 #> [1759,] 960 #> [1760,] 922 #> [1761,] 857 #> [1762,] 811 #> [1763,] 832 #> [1764,] 796 #> [1765,] 735 #> [1766,] 717 #> [1767,] 698 #> [1768,] 697 #> [1769,] 679 #> [1770,] 675 #> [1771,] 592 #> [1772,] 613 #> [1773,] 586 #> [1774,] 530 #> [1775,] 536 #> [1776,] 517 #> [1777,] 488 #> [1778,] 461 #> [1779,] 441 #> [1780,] 458 #> [1781,] 391 #> [1782,] 443 #> [1783,] 393 #> [1784,] 413 #> [1785,] 392 #> [1786,] 355 #> [1787,] 345 #> [1788,] 323 #> [1789,] 325 #> [1790,] 317 #> [1791,] 280 #> [1792,] 285 #> [1793,] 287 #> [1794,] 286 #> [1795,] 253 #> [1796,] 269 #> [1797,] 264 #> [1798,] 252 #> [1799,] 241 #> [1800,] 234 #> [1801,] 225 #> [1802,] 214 #> [1803,] 218 #> [1804,] 200 #> [1805,] 243 #> [1806,] 202 #> [1807,] 206 #> [1808,] 203 #> [1809,] 219 #> [1810,] 228 #> [1811,] 174 #> [1812,] 172 #> [1813,] 199 #> [1814,] 174 #> [1815,] 186 #> [1816,] 180 #> [1817,] 160 #> [1818,] 198 #> [1819,] 173 #> [1820,] 177 #> [1821,] 166 #> [1822,] 165 #> [1823,] 175 #> [1824,] 167 #> [1825,] 168 #> [1826,] 187 #> [1827,] 160 #> [1828,] 197 #> [1829,] 152 #> [1830,] 169 #> [1831,] 164 #> [1832,] 175 #> [1833,] 169 #> [1834,] 168 #> [1835,] 150 #> [1836,] 163 #> [1837,] 143 #> [1838,] 147 #> [1839,] 145 #> [1840,] 157 #> [1841,] 150 #> [1842,] 139 #> [1843,] 155 #> [1844,] 156 #> [1845,] 114 #> [1846,] 142 #> [1847,] 141 #> [1848,] 151 #> [1849,] 116 #> [1850,] 142 #> [1851,] 144 #> [1852,] 143 #> [1853,] 145 #> [1854,] 117 #> [1855,] 135 #> [1856,] 142 #> [1857,] 122 #> [1858,] 156 #> [1859,] 145 #> [1860,] 129 #> [1861,] 138 #> [1862,] 136 #> [1863,] 117 #> [1864,] 144 #> [1865,] 149 #> [1866,] 146 #> [1867,] 148 #> [1868,] 109 #> [1869,] 127 #> [1870,] 139 #> [1871,] 135 #> [1872,] 139 #> [1873,] 123 #> [1874,] 137 #> [1875,] 132 #> [1876,] 135 #> [1877,] 153 #> [1878,] 118 #> [1879,] 132 #> [1880,] 108 #> [1881,] 132 #> [1882,] 122 #> [1883,] 120 #> [1884,] 122 #> [1885,] 129 #> [1886,] 128 #> [1887,] 123 #> [1888,] 117 #> [1889,] 131 #> [1890,] 114 #> [1891,] 116 #> [1892,] 125 #> [1893,] 120 #> [1894,] 139 #> [1895,] 115 #> [1896,] 143 #> [1897,] 114 #> [1898,] 118 #> [1899,] 132 #> [1900,] 109 #> [1901,] 124 #> [1902,] 123 #> [1903,] 125 #> [1904,] 140 #> [1905,] 126 #> [1906,] 107 #> [1907,] 122 #> [1908,] 126 #> [1909,] 113 #> [1910,] 116 #> [1911,] 127 #> [1912,] 117 #> [1913,] 114 #> [1914,] 127 #> [1915,] 116 #> [1916,] 133 #> [1917,] 86 #> [1918,] 111 #> [1919,] 101 #> [1920,] 109 #> [1921,] 107 #> [1922,] 108 #> [1923,] 109 #> [1924,] 122 #> [1925,] 111 #> [1926,] 106 #> [1927,] 98 #> [1928,] 98 #> [1929,] 114 #> [1930,] 104 #> [1931,] 88 #> [1932,] 105 #> [1933,] 90 #> [1934,] 97 #> [1935,] 84 #> [1936,] 108 #> [1937,] 101 #> [1938,] 85 #> [1939,] 92 #> [1940,] 89 #> [1941,] 102 #> [1942,] 129 #> [1943,] 95 #> [1944,] 99 #> [1945,] 109 #> [1946,] 98 #> [1947,] 79 #> [1948,] 96 #> [1949,] 89 #> [1950,] 90 #> [1951,] 98 #> [1952,] 108 #> [1953,] 72 #> [1954,] 90 #> [1955,] 73 #> [1956,] 88 #> [1957,] 88 #> [1958,] 77 #> [1959,] 91 #> [1960,] 102 #> [1961,] 79 #> [1962,] 89 #> [1963,] 96 #> [1964,] 72 #> [1965,] 65 #> [1966,] 82 #> [1967,] 76 #> [1968,] 68 #> [1969,] 80 #> [1970,] 81 #> [1971,] 72 #> [1972,] 78 #> [1973,] 67 #> [1974,] 72 #> [1975,] 73 #> [1976,] 66 #> [1977,] 60 #> [1978,] 80 #> [1979,] 76 #> [1980,] 83 #> [1981,] 74 #> [1982,] 65 #> [1983,] 72 #> [1984,] 67 #> [1985,] 55 #> [1986,] 56 #> [1987,] 55 #> [1988,] 89 #> [1989,] 57 #> [1990,] 48 #> [1991,] 67 #> [1992,] 63 #> [1993,] 57 #> [1994,] 72 #> [1995,] 77 #> [1996,] 72 #> [1997,] 55 #> [1998,] 40 #> [1999,] 59 #> [2000,] 65 #> [2001,] 67 #> [2002,] 60 #> [2003,] 56 #> [2004,] 61 #> [2005,] 61 #> [2006,] 65 #> [2007,] 55 #> [2008,] 54 #> [2009,] 50 #> [2010,] 41 #> [2011,] 43 #> [2012,] 55 #> [2013,] 50 #> [2014,] 46 #> [2015,] 65 #> [2016,] 52 #> [2017,] 48 #> [2018,] 51 #> [2019,] 50 #> [2020,] 45 #> [2021,] 37 #> [2022,] 51 #> [2023,] 58 #> [2024,] 57 #> [2025,] 48 #> [2026,] 56 #> [2027,] 57 #> [2028,] 50 #> [2029,] 52 #> [2030,] 60 #> [2031,] 47 #> [2032,] 48 #> [2033,] 50 #> [2034,] 64 #> [2035,] 55 #> [2036,] 46 #> [2037,] 48 #> [2038,] 66 #> [2039,] 42 #> [2040,] 38 #> [2041,] 62 #> [2042,] 49 #> [2043,] 42 #> [2044,] 53 #> [2045,] 42 #> [2046,] 51 #> [2047,] 54 #> [2048,] 68 #> [2049,] 51 #> [2050,] 52 #> if (FALSE) { # \\dontrun{ ##export as file ##create temporary filepath ##(for usage replace by own path) temp_file <- tempfile(pattern = \"output\", fileext = \".TKA\") ##convert and write to file system convert_xy2TKA( object = system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\"), file = temp_file) } # }"},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":null,"dir":"Reference","previous_headings":"","what":"methods_rxylib — methods_rxylib","title":"methods_rxylib — methods_rxylib","text":"S3-methods support package rxylib. Listed functions can passed directly S3 generics (e.g., plot, print) without reshaping data.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"methods_rxylib — methods_rxylib","text":"","code":"# S3 method for class 'rxylib' print(x, ...) # S3 method for class 'rxylib' plot(x, block = NULL, ...)"},{"path":"https://r-lum.github.io/rxylib/reference/methods_rxylib.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"methods_rxylib — methods_rxylib","text":"x (required): input object ... arguments can passed method block numeric (default): select block plotting, e.g. c(1:2).","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":null,"dir":"Reference","previous_headings":"","what":"Import xy-Data for Supported Formats into R — read_xyData","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"function provides access underlying xylib import data supported file formats R. cases, file path needed arguments import data. function automatically recognises allowed formats. See rxylib-package supported formats.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"","code":"read_xyData(file, options = \"\", verbose = TRUE, metaData = TRUE)"},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"file character (required): path file imported. argument accepts URL. Can character vector list characters. options character (default): set format options (see rxylib-package) verbose logical (default): enables/disables verbose mode metaData logical (default): enables/disables export metadata","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"functions returns list matrices.","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"function-version","dir":"Reference","previous_headings":"","what":"Function version","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"0.3.0","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"Sebastian Kreutzer, Institute Geography, Ruprecht-Karl-University Heidelberg (Germany), Johannes Friedrich, University Bayreuth (Germany)","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"how-to-cite","dir":"Reference","previous_headings":"","what":"How to cite","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"Kreutzer, S., Friedrich, J., 2024. read_xyData(): Import xy-Data Supported Formats R. Function version 0.3.0. : Kreutzer, S., Friedrich, J., 2024. rxylib: Import XY-Data R . R package version 0.2.14.9000-2. https://r-lum.github.io/rxylib/","code":""},{"path":"https://r-lum.github.io/rxylib/reference/read_xyData.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import xy-Data for Supported Formats into R — read_xyData","text":"","code":"##load example dataset file <- system.file(\"extdata/ExampleSpectrum.CNF\", package = \"rxylib\") results <- read_xyData(file) #> [read_xyData()] File of type Canberra CNF detected ... results #> #> [rxylib-object] #> Imported format:\t Canberra CNF #> Imported blocks: \t 1 #> Dataset has metadata:\t FALSE #> #> << block 1 : Thorit Kalibrierung >> #> .. $data_block \t matrix : 2048 x 2 #> .. $metadata_block \t TRUE ##plot xy-spectrum plot(results, type = \"l\", xlab = \"Energy [keV]\", ylab = \"Counts\", main = \"Thorite - 1800 s\") mtext(side = 3, \"Canberra Inspector 1000, 3 x 3 NaI probe\") ##plot contour for TL-spectrum ##imported from an XSYG-file spectrum <- read_xyData(system.file(\"extdata/TLSpectrum.xsyg\", package = \"rxylib\")) #> [read_xyData()] File of type Freiberg Instruments XSYG detected ... contour( x = spectrum$dataset[[1]]$data_block[,1], y = 1:ncol(spectrum$dataset[[1]]$data_block[,-1]), z = spectrum$dataset[[1]]$data_block[,-1], xlab = \"Wavelength [nm]\", ylab = \"#Channel\", main = \"TL Spectrum\")"},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":null,"dir":"Reference","previous_headings":"","what":"Import XY-Data into R — rxylib-package","title":"Import XY-Data into R — rxylib-package","text":"Provides access 'xylib' C++ library import xy data powder diffraction, spectroscopy experimental methods, like gamma-ray spectrometry. License: GPL-3 | LGPL-2.1 (C++ library 'xylib')","code":""},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Import XY-Data into R — rxylib-package","text":"Funding 2017-2019, work Sebastian Kreutzer maintainer package supported LabEx LaScArBx (ANR - n. ANR-10-LABX-52). 01/2020-04/2022, Sebastian Kreutzer received funding European Union’s Horizon 2020 research innovation programme Marie Skłodowska-Curie grant agreement 844457 (project: CREDit). Supported data formats: library version: 1.6.0","code":""},{"path":[]},{"path":"https://r-lum.github.io/rxylib/reference/rxylib-package.html","id":"author","dir":"Reference","previous_headings":"","what":"Author","title":"Import XY-Data into R — rxylib-package","text":"Sebastian Kreutzer, Institute Geography, Ruprecht-Karl-University Heidelberg (Germany), Johannes Friedrich (University Bayreuth, Germany), RLum Team (family support), Marcin Wojdyr (maintainer author C++ library xylib), Peng Zhang (author C++ library xylib)","code":""},{"path":"https://r-lum.github.io/rxylib/news/index.html","id":"changes-in-version-02149000-2-2024-08-27","dir":"Changelog","previous_headings":"","what":"Changes in version 0.2.14.9000-2 (2024-08-27)","title":"Changes in version 0.2.14.9000-2 (2024-08-27)","text":"version C++17 system requirement. Fix new #define BOOST_NO_AUTO_PTR 1 compiler warning CRAN","code":""}]