Get predicted data from fitted GAMs across period of observation
Arguments
- mod
input model object as returned by
anlz_gam- annual
logical indicating if predictions only for the
cont_yearsmoother are returned
Examples
library(dplyr)
# data to model
tomod <- rawdat %>%
filter(station %in% 34) %>%
filter(param %in% 'chl') %>%
filter(yr > 2015)
mod <- anlz_gam(tomod, trans = 'log10')
anlz_prd(mod)
#> cont_year date mo doy yr value trans
#> 1 2016.055 2016-01-21 Jan 21 2016 6.591274 log10
#> 2 2016.059 2016-01-22 Jan 22 2016 6.613186 log10
#> 3 2016.062 2016-01-23 Jan 23 2016 6.635084 log10
#> 4 2016.066 2016-01-25 Jan 25 2016 6.656880 log10
#> 5 2016.070 2016-01-26 Jan 26 2016 6.678485 log10
#> 6 2016.074 2016-01-28 Jan 28 2016 6.699809 log10
#> 7 2016.078 2016-01-29 Jan 29 2016 6.720761 log10
#> 8 2016.082 2016-01-31 Jan 31 2016 6.741249 log10
#> 9 2016.086 2016-02-01 Feb 32 2016 6.761179 log10
#> 10 2016.090 2016-02-02 Feb 33 2016 6.780460 log10
#> 11 2016.094 2016-02-04 Feb 35 2016 6.799042 log10
#> 12 2016.098 2016-02-05 Feb 36 2016 6.816908 log10
#> 13 2016.102 2016-02-07 Feb 38 2016 6.834037 log10
#> 14 2016.106 2016-02-08 Feb 39 2016 6.850411 log10
#> 15 2016.109 2016-02-10 Feb 41 2016 6.866014 log10
#> 16 2016.113 2016-02-11 Feb 42 2016 6.880825 log10
#> 17 2016.117 2016-02-12 Feb 43 2016 6.894828 log10
#> 18 2016.121 2016-02-14 Feb 45 2016 6.908005 log10
#> 19 2016.125 2016-02-15 Feb 46 2016 6.920338 log10
#> 20 2016.129 2016-02-17 Feb 48 2016 6.931810 log10
#> 21 2016.133 2016-02-18 Feb 49 2016 6.942403 log10
#> 22 2016.137 2016-02-20 Feb 51 2016 6.952102 log10
#> 23 2016.141 2016-02-21 Feb 52 2016 6.960889 log10
#> 24 2016.145 2016-02-22 Feb 53 2016 6.968749 log10
#> 25 2016.149 2016-02-24 Feb 55 2016 6.975665 log10
#> 26 2016.152 2016-02-25 Feb 56 2016 6.981621 log10
#> 27 2016.156 2016-02-27 Feb 58 2016 6.986603 log10
#> 28 2016.160 2016-02-28 Feb 59 2016 6.990595 log10
#> 29 2016.164 2016-03-01 Mar 61 2016 6.993583 log10
#> 30 2016.168 2016-03-02 Mar 62 2016 6.995554 log10
#> 31 2016.172 2016-03-03 Mar 63 2016 6.996492 log10
#> 32 2016.176 2016-03-05 Mar 65 2016 6.996385 log10
#> 33 2016.180 2016-03-06 Mar 66 2016 6.995221 log10
#> 34 2016.184 2016-03-08 Mar 68 2016 6.992986 log10
#> 35 2016.188 2016-03-09 Mar 69 2016 6.989670 log10
#> 36 2016.192 2016-03-11 Mar 71 2016 6.985260 log10
#> 37 2016.196 2016-03-12 Mar 72 2016 6.979746 log10
#> 38 2016.199 2016-03-13 Mar 73 2016 6.973119 log10
#> 39 2016.203 2016-03-15 Mar 75 2016 6.965368 log10
#> 40 2016.207 2016-03-16 Mar 76 2016 6.956484 log10
#> 41 2016.211 2016-03-18 Mar 78 2016 6.946457 log10
#> 42 2016.215 2016-03-19 Mar 79 2016 6.935275 log10
#> 43 2016.219 2016-03-21 Mar 81 2016 6.922926 log10
#> 44 2016.223 2016-03-22 Mar 82 2016 6.909401 log10
#> 45 2016.227 2016-03-24 Mar 84 2016 6.894691 log10
#> 46 2016.231 2016-03-25 Mar 85 2016 6.878785 log10
#> 47 2016.235 2016-03-26 Mar 86 2016 6.861676 log10
#> 48 2016.239 2016-03-28 Mar 88 2016 6.843357 log10
#> 49 2016.243 2016-03-29 Mar 89 2016 6.823822 log10
#> 50 2016.246 2016-03-31 Mar 91 2016 6.803064 log10
#> 51 2016.250 2016-04-01 Apr 92 2016 6.781079 log10
#> 52 2016.254 2016-04-03 Apr 94 2016 6.757877 log10
#> 53 2016.258 2016-04-04 Apr 95 2016 6.733484 log10
#> 54 2016.262 2016-04-05 Apr 96 2016 6.707927 log10
#> 55 2016.266 2016-04-07 Apr 98 2016 6.681235 log10
#> 56 2016.270 2016-04-08 Apr 99 2016 6.653436 log10
#> 57 2016.274 2016-04-10 Apr 101 2016 6.624558 log10
#> 58 2016.278 2016-04-11 Apr 102 2016 6.594631 log10
#> 59 2016.282 2016-04-13 Apr 104 2016 6.563682 log10
#> 60 2016.286 2016-04-14 Apr 105 2016 6.531743 log10
#> 61 2016.289 2016-04-15 Apr 106 2016 6.498844 log10
#> 62 2016.293 2016-04-17 Apr 108 2016 6.465054 log10
#> 63 2016.297 2016-04-18 Apr 109 2016 6.430460 log10
#> 64 2016.301 2016-04-20 Apr 111 2016 6.395152 log10
#> 65 2016.305 2016-04-21 Apr 112 2016 6.359215 log10
#> 66 2016.309 2016-04-23 Apr 114 2016 6.322735 log10
#> 67 2016.313 2016-04-24 Apr 115 2016 6.285796 log10
#> 68 2016.317 2016-04-25 Apr 116 2016 6.248480 log10
#> 69 2016.321 2016-04-27 Apr 118 2016 6.210867 log10
#> 70 2016.325 2016-04-28 Apr 119 2016 6.173042 log10
#> 71 2016.329 2016-04-30 Apr 121 2016 6.135097 log10
#> 72 2016.333 2016-05-01 May 122 2016 6.097123 log10
#> 73 2016.336 2016-05-03 May 124 2016 6.059210 log10
#> 74 2016.340 2016-05-04 May 125 2016 6.021443 log10
#> 75 2016.344 2016-05-05 May 126 2016 5.983909 log10
#> 76 2016.348 2016-05-07 May 128 2016 5.946689 log10
#> 77 2016.352 2016-05-08 May 129 2016 5.909864 log10
#> 78 2016.356 2016-05-10 May 131 2016 5.873513 log10
#> 79 2016.360 2016-05-11 May 132 2016 5.837712 log10
#> 80 2016.364 2016-05-13 May 134 2016 5.802536 log10
#> 81 2016.368 2016-05-14 May 135 2016 5.768058 log10
#> 82 2016.372 2016-05-16 May 137 2016 5.734349 log10
#> 83 2016.376 2016-05-17 May 138 2016 5.701478 log10
#> 84 2016.379 2016-05-18 May 139 2016 5.669509 log10
#> 85 2016.383 2016-05-20 May 141 2016 5.638458 log10
#> 86 2016.387 2016-05-21 May 142 2016 5.608305 log10
#> 87 2016.391 2016-05-23 May 144 2016 5.579030 log10
#> 88 2016.395 2016-05-24 May 145 2016 5.550611 log10
#> 89 2016.399 2016-05-26 May 147 2016 5.523032 log10
#> 90 2016.403 2016-05-27 May 148 2016 5.496272 log10
#> 91 2016.407 2016-05-28 May 149 2016 5.470313 log10
#> 92 2016.411 2016-05-30 May 151 2016 5.445139 log10
#> 93 2016.415 2016-05-31 May 152 2016 5.420731 log10
#> 94 2016.419 2016-06-02 Jun 154 2016 5.397073 log10
#> 95 2016.423 2016-06-03 Jun 155 2016 5.374149 log10
#> 96 2016.426 2016-06-05 Jun 157 2016 5.351942 log10
#> 97 2016.430 2016-06-06 Jun 158 2016 5.330438 log10
#> 98 2016.434 2016-06-07 Jun 159 2016 5.309622 log10
#> 99 2016.438 2016-06-09 Jun 161 2016 5.289478 log10
#> 100 2016.442 2016-06-10 Jun 162 2016 5.269992 log10
#> 101 2016.446 2016-06-12 Jun 164 2016 5.251150 log10
#> 102 2016.450 2016-06-13 Jun 165 2016 5.232939 log10
#> 103 2016.454 2016-06-15 Jun 167 2016 5.215346 log10
#> 104 2016.458 2016-06-16 Jun 168 2016 5.198357 log10
#> 105 2016.462 2016-06-17 Jun 169 2016 5.181962 log10
#> 106 2016.466 2016-06-19 Jun 171 2016 5.166154 log10
#> 107 2016.469 2016-06-20 Jun 172 2016 5.150928 log10
#> 108 2016.473 2016-06-22 Jun 174 2016 5.136276 log10
#> 109 2016.477 2016-06-23 Jun 175 2016 5.122194 log10
#> 110 2016.481 2016-06-25 Jun 177 2016 5.108675 log10
#> 111 2016.485 2016-06-26 Jun 178 2016 5.095715 log10
#> 112 2016.489 2016-06-27 Jun 179 2016 5.083307 log10
#> 113 2016.493 2016-06-29 Jun 181 2016 5.071446 log10
#> 114 2016.497 2016-06-30 Jun 182 2016 5.060125 log10
#> 115 2016.501 2016-07-02 Jul 184 2016 5.049336 log10
#> 116 2016.505 2016-07-03 Jul 185 2016 5.039072 log10
#> 117 2016.509 2016-07-05 Jul 187 2016 5.029326 log10
#> 118 2016.513 2016-07-06 Jul 188 2016 5.020091 log10
#> 119 2016.516 2016-07-08 Jul 190 2016 5.011359 log10
#> 120 2016.520 2016-07-09 Jul 191 2016 5.003125 log10
#> 121 2016.524 2016-07-10 Jul 192 2016 4.995382 log10
#> 122 2016.528 2016-07-12 Jul 194 2016 4.988123 log10
#> 123 2016.532 2016-07-13 Jul 195 2016 4.981342 log10
#> 124 2016.536 2016-07-15 Jul 197 2016 4.975030 log10
#> 125 2016.540 2016-07-16 Jul 198 2016 4.969151 log10
#> 126 2016.544 2016-07-18 Jul 200 2016 4.963658 log10
#> 127 2016.548 2016-07-19 Jul 201 2016 4.958504 log10
#> 128 2016.552 2016-07-20 Jul 202 2016 4.953644 log10
#> 129 2016.556 2016-07-22 Jul 204 2016 4.949031 log10
#> 130 2016.560 2016-07-23 Jul 205 2016 4.944621 log10
#> 131 2016.563 2016-07-25 Jul 207 2016 4.940366 log10
#> 132 2016.567 2016-07-26 Jul 208 2016 4.936224 log10
#> 133 2016.571 2016-07-28 Jul 210 2016 4.932147 log10
#> 134 2016.575 2016-07-29 Jul 211 2016 4.928091 log10
#> 135 2016.579 2016-07-30 Jul 212 2016 4.924012 log10
#> 136 2016.583 2016-08-01 Aug 214 2016 4.919864 log10
#> 137 2016.587 2016-08-02 Aug 215 2016 4.915603 log10
#> 138 2016.591 2016-08-04 Aug 217 2016 4.911185 log10
#> 139 2016.595 2016-08-05 Aug 218 2016 4.906565 log10
#> 140 2016.599 2016-08-07 Aug 220 2016 4.901700 log10
#> 141 2016.603 2016-08-08 Aug 221 2016 4.896546 log10
#> 142 2016.606 2016-08-09 Aug 222 2016 4.891058 log10
#> 143 2016.610 2016-08-11 Aug 224 2016 4.885195 log10
#> 144 2016.614 2016-08-12 Aug 225 2016 4.878912 log10
#> 145 2016.618 2016-08-14 Aug 227 2016 4.872168 log10
#> 146 2016.622 2016-08-15 Aug 228 2016 4.864919 log10
#> 147 2016.626 2016-08-17 Aug 230 2016 4.857124 log10
#> 148 2016.630 2016-08-18 Aug 231 2016 4.848743 log10
#> 149 2016.634 2016-08-19 Aug 232 2016 4.839750 log10
#> 150 2016.638 2016-08-21 Aug 234 2016 4.830147 log10
#> 151 2016.642 2016-08-22 Aug 235 2016 4.819934 log10
#> 152 2016.646 2016-08-24 Aug 237 2016 4.809112 log10
#> 153 2016.650 2016-08-25 Aug 238 2016 4.797695 log10
#> 154 2016.653 2016-08-27 Aug 240 2016 4.785716 log10
#> 155 2016.657 2016-08-28 Aug 241 2016 4.773213 log10
#> 156 2016.661 2016-08-30 Aug 243 2016 4.760223 log10
#> 157 2016.665 2016-08-31 Aug 244 2016 4.746783 log10
#> 158 2016.669 2016-09-01 Sep 245 2016 4.732931 log10
#> 159 2016.673 2016-09-03 Sep 247 2016 4.718701 log10
#> 160 2016.677 2016-09-04 Sep 248 2016 4.704132 log10
#> 161 2016.681 2016-09-06 Sep 250 2016 4.689259 log10
#> 162 2016.685 2016-09-07 Sep 251 2016 4.674116 log10
#> 163 2016.689 2016-09-09 Sep 253 2016 4.658741 log10
#> 164 2016.693 2016-09-10 Sep 254 2016 4.643164 log10
#> 165 2016.696 2016-09-11 Sep 255 2016 4.627411 log10
#> 166 2016.700 2016-09-13 Sep 257 2016 4.611503 log10
#> 167 2016.704 2016-09-14 Sep 258 2016 4.595462 log10
#> 168 2016.708 2016-09-16 Sep 260 2016 4.579310 log10
#> 169 2016.712 2016-09-17 Sep 261 2016 4.563068 log10
#> 170 2016.716 2016-09-19 Sep 263 2016 4.546756 log10
#> 171 2016.720 2016-09-20 Sep 264 2016 4.530396 log10
#> 172 2016.724 2016-09-21 Sep 265 2016 4.514001 log10
#> 173 2016.728 2016-09-23 Sep 267 2016 4.497572 log10
#> 174 2016.732 2016-09-24 Sep 268 2016 4.481112 log10
#> 175 2016.736 2016-09-26 Sep 270 2016 4.464622 log10
#> 176 2016.740 2016-09-27 Sep 271 2016 4.448104 log10
#> 177 2016.743 2016-09-29 Sep 273 2016 4.431559 log10
#> 178 2016.747 2016-09-30 Sep 274 2016 4.414988 log10
#> 179 2016.751 2016-10-01 Oct 275 2016 4.398395 log10
#> 180 2016.755 2016-10-03 Oct 277 2016 4.381779 log10
#> 181 2016.759 2016-10-04 Oct 278 2016 4.365142 log10
#> 182 2016.763 2016-10-06 Oct 280 2016 4.348487 log10
#> 183 2016.767 2016-10-07 Oct 281 2016 4.331814 log10
#> 184 2016.771 2016-10-09 Oct 283 2016 4.315125 log10
#> 185 2016.775 2016-10-10 Oct 284 2016 4.298421 log10
#> 186 2016.779 2016-10-11 Oct 285 2016 4.281704 log10
#> 187 2016.783 2016-10-13 Oct 287 2016 4.264975 log10
#> 188 2016.786 2016-10-14 Oct 288 2016 4.248236 log10
#> 189 2016.790 2016-10-16 Oct 290 2016 4.231488 log10
#> 190 2016.794 2016-10-17 Oct 291 2016 4.214732 log10
#> 191 2016.798 2016-10-19 Oct 293 2016 4.197973 log10
#> 192 2016.802 2016-10-20 Oct 294 2016 4.181237 log10
#> 193 2016.806 2016-10-22 Oct 296 2016 4.164559 log10
#> 194 2016.810 2016-10-23 Oct 297 2016 4.147974 log10
#> 195 2016.814 2016-10-24 Oct 298 2016 4.131516 log10
#> 196 2016.818 2016-10-26 Oct 300 2016 4.115219 log10
#> 197 2016.822 2016-10-27 Oct 301 2016 4.099115 log10
#> 198 2016.826 2016-10-29 Oct 303 2016 4.083237 log10
#> 199 2016.830 2016-10-30 Oct 304 2016 4.067617 log10
#> 200 2016.833 2016-11-01 Nov 306 2016 4.052287 log10
#> 201 2016.837 2016-11-02 Nov 307 2016 4.037278 log10
#> 202 2016.841 2016-11-03 Nov 308 2016 4.022620 log10
#> 203 2016.845 2016-11-05 Nov 310 2016 4.008344 log10
#> 204 2016.849 2016-11-06 Nov 311 2016 3.994480 log10
#> 205 2016.853 2016-11-08 Nov 313 2016 3.981057 log10
#> 206 2016.857 2016-11-09 Nov 314 2016 3.968100 log10
#> 207 2016.861 2016-11-11 Nov 316 2016 3.955623 log10
#> 208 2016.865 2016-11-12 Nov 317 2016 3.943639 log10
#> 209 2016.869 2016-11-13 Nov 318 2016 3.932159 log10
#> 210 2016.873 2016-11-15 Nov 320 2016 3.921197 log10
#> 211 2016.877 2016-11-16 Nov 321 2016 3.910765 log10
#> 212 2016.880 2016-11-18 Nov 323 2016 3.900874 log10
#> 213 2016.884 2016-11-19 Nov 324 2016 3.891538 log10
#> 214 2016.888 2016-11-21 Nov 326 2016 3.882769 log10
#> 215 2016.892 2016-11-22 Nov 327 2016 3.874579 log10
#> 216 2016.896 2016-11-23 Nov 328 2016 3.866982 log10
#> 217 2016.900 2016-11-25 Nov 330 2016 3.859989 log10
#> 218 2016.904 2016-11-26 Nov 331 2016 3.853615 log10
#> 219 2016.908 2016-11-28 Nov 333 2016 3.847871 log10
#> 220 2016.912 2016-11-29 Nov 334 2016 3.842772 log10
#> 221 2016.916 2016-12-01 Dec 336 2016 3.838332 log10
#> 222 2016.920 2016-12-02 Dec 337 2016 3.834563 log10
#> 223 2016.923 2016-12-03 Dec 338 2016 3.831481 log10
#> 224 2016.927 2016-12-05 Dec 340 2016 3.829099 log10
#> 225 2016.931 2016-12-06 Dec 341 2016 3.827433 log10
#> 226 2016.935 2016-12-08 Dec 343 2016 3.826498 log10
#> 227 2016.939 2016-12-09 Dec 344 2016 3.826309 log10
#> 228 2016.943 2016-12-11 Dec 346 2016 3.826882 log10
#> 229 2016.947 2016-12-12 Dec 347 2016 3.828234 log10
#> 230 2016.951 2016-12-14 Dec 349 2016 3.830382 log10
#> 231 2016.955 2016-12-15 Dec 350 2016 3.833336 log10
#> 232 2016.959 2016-12-16 Dec 351 2016 3.837108 log10
#> 233 2016.963 2016-12-18 Dec 353 2016 3.841706 log10
#> 234 2016.967 2016-12-19 Dec 354 2016 3.847141 log10
#> 235 2016.970 2016-12-21 Dec 356 2016 3.853425 log10
#> 236 2016.974 2016-12-22 Dec 357 2016 3.860570 log10
#> 237 2016.978 2016-12-24 Dec 359 2016 3.868587 log10
#> 238 2016.982 2016-12-25 Dec 360 2016 3.877491 log10
#> 239 2016.986 2016-12-26 Dec 361 2016 3.887294 log10
#> 240 2016.990 2016-12-28 Dec 363 2016 3.898012 log10
#> 241 2016.994 2016-12-29 Dec 364 2016 3.909659 log10
#> 242 2016.998 2016-12-31 Dec 366 2016 3.922251 log10
#> 243 2017.002 2017-01-01 Jan 1 2017 3.935806 log10
#> 244 2017.006 2017-01-03 Jan 3 2017 3.950341 log10
#> 245 2017.010 2017-01-04 Jan 4 2017 3.965874 log10
#> 246 2017.013 2017-01-05 Jan 5 2017 3.982424 log10
#> 247 2017.017 2017-01-07 Jan 7 2017 4.000012 log10
#> 248 2017.021 2017-01-08 Jan 8 2017 4.018659 log10
#> 249 2017.025 2017-01-10 Jan 10 2017 4.038387 log10
#> 250 2017.029 2017-01-11 Jan 11 2017 4.059218 log10
#> 251 2017.033 2017-01-13 Jan 13 2017 4.081178 log10
#> 252 2017.037 2017-01-14 Jan 14 2017 4.104292 log10
#> 253 2017.041 2017-01-15 Jan 15 2017 4.128586 log10
#> 254 2017.045 2017-01-17 Jan 17 2017 4.154087 log10
#> 255 2017.049 2017-01-18 Jan 18 2017 4.180825 log10
#> 256 2017.053 2017-01-20 Jan 20 2017 4.208830 log10
#> 257 2017.057 2017-01-21 Jan 21 2017 4.238133 log10
#> 258 2017.060 2017-01-23 Jan 23 2017 4.268767 log10
#> 259 2017.064 2017-01-24 Jan 24 2017 4.300755 log10
#> 260 2017.068 2017-01-25 Jan 25 2017 4.334075 log10
#> 261 2017.072 2017-01-27 Jan 27 2017 4.368699 log10
#> 262 2017.076 2017-01-28 Jan 28 2017 4.404593 log10
#> 263 2017.080 2017-01-30 Jan 30 2017 4.441728 log10
#> 264 2017.084 2017-01-31 Jan 31 2017 4.480070 log10
#> 265 2017.088 2017-02-02 Feb 33 2017 4.519586 log10
#> 266 2017.092 2017-02-03 Feb 34 2017 4.560241 log10
#> 267 2017.096 2017-02-04 Feb 35 2017 4.601998 log10
#> 268 2017.100 2017-02-06 Feb 37 2017 4.644821 log10
#> 269 2017.104 2017-02-07 Feb 38 2017 4.688669 log10
#> 270 2017.107 2017-02-09 Feb 40 2017 4.733503 log10
#> 271 2017.111 2017-02-10 Feb 41 2017 4.779280 log10
#> 272 2017.115 2017-02-12 Feb 43 2017 4.825954 log10
#> 273 2017.119 2017-02-13 Feb 44 2017 4.873481 log10
#> 274 2017.123 2017-02-14 Feb 45 2017 4.921810 log10
#> 275 2017.127 2017-02-16 Feb 47 2017 4.970892 log10
#> 276 2017.131 2017-02-17 Feb 48 2017 5.020672 log10
#> 277 2017.135 2017-02-19 Feb 50 2017 5.071075 log10
#> 278 2017.139 2017-02-20 Feb 51 2017 5.122007 log10
#> 279 2017.143 2017-02-22 Feb 53 2017 5.173368 log10
#> 280 2017.147 2017-02-23 Feb 54 2017 5.225056 log10
#> 281 2017.150 2017-02-24 Feb 55 2017 5.276963 log10
#> 282 2017.154 2017-02-26 Feb 57 2017 5.328976 log10
#> 283 2017.158 2017-02-27 Feb 58 2017 5.380980 log10
#> 284 2017.162 2017-03-01 Mar 60 2017 5.432855 log10
#> 285 2017.166 2017-03-02 Mar 61 2017 5.484475 log10
#> 286 2017.170 2017-03-04 Mar 63 2017 5.535712 log10
#> 287 2017.174 2017-03-05 Mar 64 2017 5.586432 log10
#> 288 2017.178 2017-03-06 Mar 65 2017 5.636499 log10
#> 289 2017.182 2017-03-08 Mar 67 2017 5.685774 log10
#> 290 2017.186 2017-03-09 Mar 68 2017 5.734130 log10
#> 291 2017.190 2017-03-11 Mar 70 2017 5.781440 log10
#> 292 2017.194 2017-03-12 Mar 71 2017 5.827575 log10
#> 293 2017.197 2017-03-14 Mar 73 2017 5.872405 log10
#> 294 2017.201 2017-03-15 Mar 74 2017 5.915795 log10
#> 295 2017.205 2017-03-16 Mar 75 2017 5.957610 log10
#> 296 2017.209 2017-03-18 Mar 77 2017 5.997713 log10
#> 297 2017.213 2017-03-19 Mar 78 2017 6.035966 log10
#> 298 2017.217 2017-03-21 Mar 80 2017 6.072230 log10
#> 299 2017.221 2017-03-22 Mar 81 2017 6.106384 log10
#> 300 2017.225 2017-03-24 Mar 83 2017 6.138360 log10
#> 301 2017.229 2017-03-25 Mar 84 2017 6.168099 log10
#> 302 2017.233 2017-03-26 Mar 85 2017 6.195543 log10
#> 303 2017.237 2017-03-28 Mar 87 2017 6.220638 log10
#> 304 2017.240 2017-03-29 Mar 88 2017 6.243332 log10
#> 305 2017.244 2017-03-31 Mar 90 2017 6.263574 log10
#> 306 2017.248 2017-04-01 Apr 91 2017 6.281316 log10
#> 307 2017.252 2017-04-03 Apr 93 2017 6.296515 log10
#> 308 2017.256 2017-04-04 Apr 94 2017 6.309128 log10
#> 309 2017.260 2017-04-05 Apr 95 2017 6.319158 log10
#> 310 2017.264 2017-04-07 Apr 97 2017 6.326670 log10
#> 311 2017.268 2017-04-08 Apr 98 2017 6.331739 log10
#> 312 2017.272 2017-04-10 Apr 100 2017 6.334442 log10
#> 313 2017.276 2017-04-11 Apr 101 2017 6.334860 log10
#> 314 2017.280 2017-04-13 Apr 103 2017 6.333076 log10
#> 315 2017.284 2017-04-14 Apr 104 2017 6.329175 log10
#> 316 2017.287 2017-04-15 Apr 105 2017 6.323245 log10
#> 317 2017.291 2017-04-17 Apr 107 2017 6.315373 log10
#> 318 2017.295 2017-04-18 Apr 108 2017 6.305652 log10
#> 319 2017.299 2017-04-20 Apr 110 2017 6.294199 log10
#> 320 2017.303 2017-04-21 Apr 111 2017 6.281155 log10
#> 321 2017.307 2017-04-23 Apr 113 2017 6.266659 log10
#> 322 2017.311 2017-04-24 Apr 114 2017 6.250854 log10
#> 323 2017.315 2017-04-25 Apr 115 2017 6.233880 log10
#> 324 2017.319 2017-04-27 Apr 117 2017 6.215875 log10
#> 325 2017.323 2017-04-28 Apr 118 2017 6.196971 log10
#> 326 2017.327 2017-04-30 Apr 120 2017 6.177279 log10
#> 327 2017.330 2017-05-01 May 121 2017 6.156908 log10
#> 328 2017.334 2017-05-03 May 123 2017 6.135964 log10
#> 329 2017.338 2017-05-04 May 124 2017 6.114554 log10
#> 330 2017.342 2017-05-05 May 125 2017 6.092784 log10
#> 331 2017.346 2017-05-07 May 127 2017 6.070757 log10
#> 332 2017.350 2017-05-08 May 128 2017 6.048575 log10
#> 333 2017.354 2017-05-10 May 130 2017 6.026339 log10
#> 334 2017.358 2017-05-11 May 131 2017 6.004149 log10
#> 335 2017.362 2017-05-13 May 133 2017 5.982101 log10
#> 336 2017.366 2017-05-14 May 134 2017 5.960294 log10
#> 337 2017.370 2017-05-15 May 135 2017 5.938822 log10
#> 338 2017.374 2017-05-17 May 137 2017 5.917778 log10
#> 339 2017.377 2017-05-18 May 138 2017 5.897212 log10
#> 340 2017.381 2017-05-20 May 140 2017 5.877088 log10
#> 341 2017.385 2017-05-21 May 141 2017 5.857362 log10
#> 342 2017.389 2017-05-23 May 143 2017 5.837990 log10
#> 343 2017.393 2017-05-24 May 144 2017 5.818927 log10
#> 344 2017.397 2017-05-25 May 145 2017 5.800131 log10
#> 345 2017.401 2017-05-27 May 147 2017 5.781559 log10
#> 346 2017.405 2017-05-28 May 148 2017 5.763169 log10
#> 347 2017.409 2017-05-30 May 150 2017 5.744921 log10
#> 348 2017.413 2017-05-31 May 151 2017 5.726772 log10
#> 349 2017.417 2017-06-02 Jun 153 2017 5.708683 log10
#> 350 2017.421 2017-06-03 Jun 154 2017 5.690613 log10
#> 351 2017.424 2017-06-04 Jun 155 2017 5.672524 log10
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