Print simulated data

# S3 method for simdata
print(x, ...)

Arguments

x

simulated data

...

arguments to be passed to methods

Examples

sim <- simulate_ar1(n = 500, gam = 0.998, poisMean = 0.009, sd = 0.05, seed = 1) print(sim)
#> $spikes #> [1] 40 182 #> #> $fl #> [1] -0.016311668 -0.041781431 0.020732072 -0.041023419 -0.014736022 #> [6] 0.028789068 0.038179673 0.019492162 -0.014473079 0.056246546 #> [11] 0.012611172 0.047191811 -0.061876921 0.045948869 0.006666818 #> [16] -0.099467585 0.025180399 -0.007789775 -0.064229968 0.020897078 #> [21] -0.027144413 0.019383581 0.036337537 -0.020749728 -0.021475655 #> [26] 0.055001269 0.087895154 -0.012668084 -0.041602165 -0.034437785 #> [31] -0.078189103 0.038426646 -0.011366435 0.019905294 0.122068231 #> [36] -0.056468155 0.012507066 -0.018361074 -0.111195014 -0.006752730 #> [41] 0.999447726 1.032486968 0.955255565 1.003451607 1.010321024 #> [46] 0.997702587 0.989017660 0.950586399 0.978153115 0.919461660 #> [51] 0.987367617 0.978273953 0.904382936 0.945876287 1.010968213 #> [56] 0.894238042 0.947526544 1.019693590 1.027406462 0.976031249 #> [61] 0.917087851 1.016849586 0.986724747 0.982922294 1.025887397 #> [66] 0.889951170 0.988372396 0.949486672 0.947815132 0.910865912 #> [71] 0.877670482 0.985333250 1.021859749 0.904282176 0.935466005 #> [76] 0.899793650 0.983151354 0.912603239 0.951485466 0.916025662 #> [81] 0.932926615 0.910467346 0.863665667 0.953148531 0.928812459 #> [86] 0.879765801 0.987604742 0.880752361 0.859676563 0.921887831 #> [91] 0.843161465 0.876523329 0.855597416 0.803611216 0.881342991 #> [96] 0.872558947 0.855554487 0.996514436 0.913958615 0.806560776 #> [101] 0.821242841 0.869136824 0.927801486 0.827744007 0.908869915 #> [106] 0.808759791 0.892119458 0.862540366 0.956737686 0.840016176 #> [111] 0.842092274 0.796273166 0.815360174 0.979430297 0.847593491 #> [116] 0.856721061 0.888806308 0.896521815 0.826710785 0.914110124 #> [121] 0.830463298 0.861299500 0.875223122 0.838967718 0.808346053 #> [126] 0.822010627 0.840996759 0.860251092 0.803285490 0.776389123 #> [131] 0.781911417 0.782657063 0.807240900 0.850589064 0.891928093 #> [136] 0.810256427 0.903016732 0.856851225 0.818819182 0.845712640 #> [141] 0.820413689 0.796917334 0.890056984 0.889652471 0.816790701 #> [146] 0.842525879 0.879221154 0.807281993 0.795862412 0.746121309 #> [151] 0.795111617 0.720461673 0.910598979 0.748246262 0.788578982 #> [156] 0.822876019 0.817590844 0.819217448 0.754297630 0.787747669 #> [161] 0.735761857 0.796039984 0.638051278 0.681721392 0.731324662 #> [166] 0.770299795 0.697212735 0.795852918 0.867638744 0.807173202 #> [171] 0.766724683 0.797946147 0.773041620 0.813785650 0.707985991 #> [176] 0.806043623 0.887002346 0.739014294 0.672878133 0.710094575 #> [181] 0.840700398 0.711467871 1.737183558 1.805557862 1.811469450 #> [186] 1.676246047 1.786149112 1.714720611 1.757301532 1.699132877 #> [191] 1.714400037 1.768517098 1.706216462 1.694873771 1.620534566 #> [196] 1.636216176 1.731599368 1.738985707 1.716374908 1.678618966 #> [201] 1.763859147 1.785707743 1.670314541 1.756009693 1.681908093 #> [206] 1.622456760 1.591475913 1.671950066 1.679077587 1.658538704 #> [211] 1.640538446 1.647649622 1.574648387 1.712487017 1.602069806 #> [216] 1.547020722 1.715850788 1.616284669 1.565202797 1.661386939 #> [221] 1.666040270 1.602549671 1.575499595 1.651082506 1.614614733 #> [226] 1.590377566 1.575140530 1.548395268 1.599097343 1.481923804 #> [231] 1.592902214 1.579230032 1.537454733 1.656139218 1.602186532 #> [236] 1.566481787 1.600964228 1.511144679 1.558050451 1.553787569 #> [241] 1.573556672 1.525525413 1.564063266 1.581690491 1.466106325 #> [246] 1.516254338 1.455759172 1.552603828 1.520570856 1.474176328 #> [251] 1.594214729 1.519141555 1.485633951 1.558465027 1.476301616 #> [256] 1.522477531 1.538671298 1.401741422 1.496180183 1.461624142 #> [261] 1.527208307 1.550763376 1.465858239 1.443985554 1.466971433 #> [266] 1.448489929 1.461777378 1.573098039 1.498339754 1.451596851 #> [271] 1.455121943 1.451740338 1.532803820 1.441255604 1.503453451 #> [276] 1.416221626 1.482230741 1.499901388 1.455801933 1.528679470 #> [281] 1.385071676 1.434202919 1.453084372 1.512329562 1.531915888 #> [286] 1.393932254 1.387001462 1.445341018 1.404487799 1.444266586 #> [291] 1.508719527 1.407678785 1.400444071 1.381642679 1.464399923 #> [296] 1.440367342 1.373027683 1.323835680 1.330423372 1.269442124 #> [301] 1.420229558 1.343393650 1.326056668 1.378335480 1.297678491 #> [306] 1.319804215 1.427358548 1.472816130 1.408045950 1.359339195 #> [311] 1.428748797 1.385064887 1.346278819 1.307592575 1.334329588 #> [316] 1.364911630 1.385940552 1.355720294 1.303032810 1.330760911 #> [321] 1.322217557 1.300962089 1.386287225 1.443857657 1.409273200 #> [326] 1.217603503 1.355903097 1.425223480 1.305575730 1.496265630 #> [331] 1.295406707 1.245189288 1.269107597 1.299202234 1.377509957 #> [336] 1.290725545 1.307448044 1.216369864 1.345291802 1.224159428 #> [341] 1.323003239 1.226394210 1.241971088 1.281237064 1.359618911 #> [346] 1.246288398 1.210806536 1.274068723 1.245344961 1.252115779 #> [351] 1.256368128 1.308499979 1.234709188 1.184880515 1.192939345 #> [356] 1.216934642 1.232319416 1.249738242 1.232838278 1.214285738 #> [361] 1.209845706 1.250397279 1.161631026 1.216537629 1.191117852 #> [366] 1.104865675 1.286938595 1.198856096 1.225618344 1.282755790 #> [371] 1.227685766 1.241060309 1.229785869 1.134882845 1.241547809 #> [376] 1.161499124 1.166484544 1.173739012 1.137399359 1.226396514 #> [381] 1.151139551 1.216939123 1.144439226 1.221290592 1.224673399 #> [386] 1.069151319 1.150347010 1.170988568 1.144650840 1.182373639 #> [391] 1.191378196 1.176780188 1.191331100 1.134058141 1.132046317 #> [396] 1.092283156 1.066574269 1.098752606 1.222274636 1.096852639 #> [401] 1.165119238 1.156886850 1.181959433 1.069117408 1.094678873 #> [406] 1.221540750 1.025180780 1.133604635 1.059351724 1.246297069 #> [411] 1.086090885 1.018447352 1.102007021 1.090861094 1.074917769 #> [416] 1.187405799 1.021701935 1.130559440 1.047362266 1.158591230 #> [421] 1.122677083 1.049541792 1.161633142 1.046594816 1.134669865 #> [426] 1.028743646 1.148593879 1.056109069 1.038931141 1.067024944 #> [431] 1.130508420 0.972054528 1.062265809 1.063365994 1.156392195 #> [436] 0.984587083 1.046044799 1.051983577 1.088794026 1.082901192 #> [441] 0.982751776 1.001306102 0.969041662 1.023179860 1.036711832 #> [446] 1.038714353 1.003899698 1.090098263 0.980192661 1.055542297 #> [451] 0.977664420 0.986134867 0.956312220 1.072595906 0.926417194 #> [456] 1.021787003 1.021057681 0.977769205 1.047713405 0.954500087 #> [461] 1.021369376 0.904158008 1.058600328 1.005767046 1.078231774 #> [466] 1.027274261 1.021592670 1.089126153 1.032885958 0.930416478 #> [471] 0.972415975 0.961548503 0.966308711 1.057138493 0.943633391 #> [476] 0.913601784 1.016006813 0.955224309 0.965921451 1.021828615 #> [481] 0.958552588 1.050347880 0.938045761 0.962854076 0.980196670 #> [486] 0.980566057 0.984562833 0.998484207 0.923678461 0.969079032 #> [491] 0.993962526 0.934147922 0.931455384 0.828048795 0.925606196 #> [496] 0.971088754 0.990793175 0.984489779 0.953332227 1.017656112 #> #> $conc #> [1] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> [8] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> [15] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> [22] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> [29] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> [36] 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 0.9980000 #> [43] 0.9960040 0.9940120 0.9920240 0.9900399 0.9880598 0.9860837 0.9841116 #> [50] 0.9821433 0.9801790 0.9782187 0.9762622 0.9743097 0.9723611 0.9704164 #> [57] 0.9684755 0.9665386 0.9646055 0.9626763 0.9607510 0.9588295 0.9569118 #> [64] 0.9549980 0.9530880 0.9511818 0.9492794 0.9473809 0.9454861 0.9435951 #> [71] 0.9417080 0.9398245 0.9379449 0.9360690 0.9341969 0.9323285 0.9304638 #> [78] 0.9286029 0.9267457 0.9248922 0.9230424 0.9211963 0.9193539 0.9175152 #> [85] 0.9156802 0.9138488 0.9120211 0.9101971 0.9083767 0.9065599 0.9047468 #> [92] 0.9029373 0.9011314 0.8993292 0.8975305 0.8957355 0.8939440 0.8921561 #> [99] 0.8903718 0.8885911 0.8868139 0.8850402 0.8832702 0.8815036 0.8797406 #> [106] 0.8779811 0.8762252 0.8744727 0.8727238 0.8709783 0.8692364 0.8674979 #> [113] 0.8657629 0.8640314 0.8623033 0.8605787 0.8588576 0.8571398 0.8554256 #> [120] 0.8537147 0.8520073 0.8503033 0.8486027 0.8469054 0.8452116 0.8435212 #> [127] 0.8418342 0.8401505 0.8384702 0.8367933 0.8351197 0.8334494 0.8317825 #> [134] 0.8301190 0.8284587 0.8268018 0.8251482 0.8234979 0.8218509 0.8202072 #> [141] 0.8185668 0.8169297 0.8152958 0.8136652 0.8120379 0.8104138 0.8087930 #> [148] 0.8071754 0.8055610 0.8039499 0.8023420 0.8007373 0.7991359 0.7975376 #> [155] 0.7959425 0.7943506 0.7927619 0.7911764 0.7895941 0.7880149 0.7864388 #> [162] 0.7848660 0.7832962 0.7817296 0.7801662 0.7786058 0.7770486 0.7754945 #> [169] 0.7739435 0.7723957 0.7708509 0.7693092 0.7677706 0.7662350 0.7647025 #> [176] 0.7631731 0.7616468 0.7601235 0.7586032 0.7570860 0.7555719 0.7540607 #> [183] 1.7525526 1.7490475 1.7455494 1.7420583 1.7385742 1.7350970 1.7316268 #> [190] 1.7281636 1.7247073 1.7212579 1.7178153 1.7143797 1.7109509 1.7075290 #> [197] 1.7041140 1.7007058 1.6973043 1.6939097 1.6905219 1.6871409 1.6837666 #> [204] 1.6803991 1.6770383 1.6736842 1.6703368 1.6669961 1.6636621 1.6603348 #> [211] 1.6570142 1.6537001 1.6503927 1.6470919 1.6437978 1.6405102 1.6372291 #> [218] 1.6339547 1.6306868 1.6274254 1.6241705 1.6209222 1.6176804 1.6144450 #> [225] 1.6112161 1.6079937 1.6047777 1.6015681 1.5983650 1.5951683 1.5919779 #> [232] 1.5887940 1.5856164 1.5824452 1.5792803 1.5761217 1.5729695 1.5698235 #> [239] 1.5666839 1.5635505 1.5604234 1.5573026 1.5541880 1.5510796 1.5479774 #> [246] 1.5448815 1.5417917 1.5387081 1.5356307 1.5325594 1.5294943 1.5264353 #> [253] 1.5233825 1.5203357 1.5172950 1.5142604 1.5112319 1.5082095 1.5051930 #> [260] 1.5021826 1.4991783 1.4961799 1.4931876 1.4902012 1.4872208 1.4842463 #> [267] 1.4812779 1.4783153 1.4753587 1.4724080 1.4694631 1.4665242 1.4635912 #> [274] 1.4606640 1.4577427 1.4548272 1.4519175 1.4490137 1.4461156 1.4432234 #> [281] 1.4403370 1.4374563 1.4345814 1.4317122 1.4288488 1.4259911 1.4231391 #> [288] 1.4202928 1.4174523 1.4146173 1.4117881 1.4089645 1.4061466 1.4033343 #> [295] 1.4005276 1.3977266 1.3949311 1.3921413 1.3893570 1.3865783 1.3838051 #> [302] 1.3810375 1.3782754 1.3755189 1.3727678 1.3700223 1.3672823 1.3645477 #> [309] 1.3618186 1.3590950 1.3563768 1.3536640 1.3509567 1.3482548 1.3455583 #> [316] 1.3428672 1.3401814 1.3375011 1.3348261 1.3321564 1.3294921 1.3268331 #> [323] 1.3241794 1.3215311 1.3188880 1.3162502 1.3136177 1.3109905 1.3083685 #> [330] 1.3057518 1.3031403 1.3005340 1.2979329 1.2953371 1.2927464 1.2901609 #> [337] 1.2875806 1.2850054 1.2824354 1.2798705 1.2773108 1.2747562 1.2722067 #> [344] 1.2696623 1.2671229 1.2645887 1.2620595 1.2595354 1.2570163 1.2545023 #> [351] 1.2519933 1.2494893 1.2469903 1.2444963 1.2420073 1.2395233 1.2370443 #> [358] 1.2345702 1.2321011 1.2296369 1.2271776 1.2247232 1.2222738 1.2198292 #> [365] 1.2173896 1.2149548 1.2125249 1.2100998 1.2076796 1.2052643 1.2028537 #> [372] 1.2004480 1.1980471 1.1956510 1.1932597 1.1908732 1.1884915 1.1861145 #> [379] 1.1837423 1.1813748 1.1790120 1.1766540 1.1743007 1.1719521 1.1696082 #> [386] 1.1672690 1.1649344 1.1626046 1.1602794 1.1579588 1.1556429 1.1533316 #> [393] 1.1510249 1.1487229 1.1464254 1.1441326 1.1418443 1.1395606 1.1372815 #> [400] 1.1350070 1.1327369 1.1304715 1.1282105 1.1259541 1.1237022 1.1214548 #> [407] 1.1192119 1.1169735 1.1147395 1.1125100 1.1102850 1.1080644 1.1058483 #> [414] 1.1036366 1.1014293 1.0992265 1.0970280 1.0948340 1.0926443 1.0904590 #> [421] 1.0882781 1.0861015 1.0839293 1.0817615 1.0795980 1.0774388 1.0752839 #> [428] 1.0731333 1.0709870 1.0688451 1.0667074 1.0645740 1.0624448 1.0603199 #> [435] 1.0581993 1.0560829 1.0539707 1.0518628 1.0497591 1.0476595 1.0455642 #> [442] 1.0434731 1.0413861 1.0393034 1.0372248 1.0351503 1.0330800 1.0310139 #> [449] 1.0289518 1.0268939 1.0248401 1.0227905 1.0207449 1.0187034 1.0166660 #> [456] 1.0146327 1.0126034 1.0105782 1.0085570 1.0065399 1.0045268 1.0025178 #> [463] 1.0005127 0.9985117 0.9965147 0.9945217 0.9925326 0.9905476 0.9885665 #> [470] 0.9865893 0.9846161 0.9826469 0.9806816 0.9787203 0.9767628 0.9748093 #> [477] 0.9728597 0.9709140 0.9689721 0.9670342 0.9651001 0.9631699 0.9612436 #> [484] 0.9593211 0.9574024 0.9554876 0.9535767 0.9516695 0.9497662 0.9478666 #> [491] 0.9459709 0.9440790 0.9421908 0.9403064 0.9384258 0.9365490 0.9346759 #> [498] 0.9328065 0.9309409 0.9290790 #> #> $call #> simulate_ar1(n = 500, gam = 0.998, poisMean = 0.009, sd = 0.05, #> seed = 1) #> #> $gam #> [1] 0.998 #> #> $poisMean #> [1] 0.009 #> #> $type #> [1] "ar1" #> #> $sd #> [1] 0.05 #> #> $seed #> [1] 1 #> #> attr(,"class") #> [1] "simdata"