This is to show the different ways to check your data and also go through a couple more subsetting examples
# load packages
library(tidyselect)
# set working directory
setwd("C:/Users/siobh/OneDrive - The University Of British Columbia/TA/Biol 403 - Parfrey 2020/403 lab scripts")
# read in data frame
seagrass = readRDS("Rank6_top_split_taxa.rds")
this is the dataframe that is called “top_split_taxa” in lab 5 and I grouped it at Rank6
summary(seagrass)
## SampleID BarcodeSequence LinkerPrimerSequence swab_id
## Length:2384 Length:2384 Mode:logical Length:2384
## Class :character Class :character NA's:2384 Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## barcode_plate barcode_well project_name person_responsible
## Length:2384 Length:2384 Length:2384 Length:2384
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## date Run_id sequence_file region
## Length:2384 Length:2384 Length:2384 Length:2384
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## site latitude longitude sample_method
## Length:2384 Min. :51.67 Min. :-128.5 Length:2384
## Class :character 1st Qu.:51.68 1st Qu.:-128.4 Class :character
## Mode :character Median :51.81 Median :-128.2 Mode :character
## Mean :51.84 Mean :-128.3
## 3rd Qu.:51.93 3rd Qu.:-128.1
## Max. :52.06 Max. :-128.1
##
## host_species host_type survey_type dna_extraction_plate
## Length:2384 Length:2384 Length:2384 Length:2384
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## dna_extraction_well growth sample_growth quadrat_id
## Length:2384 Length:2384 Length:2384 Length:2384
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## meso_quadrat_density_shoots_m2 meso_quadrat_biomass_g_m2 meso_quadrats_epimass
## Min. : 8.00 Min. : 2.50 Min. : 0.100
## 1st Qu.:20.00 1st Qu.:15.80 1st Qu.: 0.700
## Median :24.00 Median :22.60 Median : 1.500
## Mean :31.65 Mean :22.11 Mean : 3.878
## 3rd Qu.:40.00 3rd Qu.:28.20 3rd Qu.:10.500
## Max. :80.00 Max. :42.40 Max. :10.500
## NA's :736 NA's :736 NA's :1520
## meso_shoot_id meso_shoot_length meso_shoot_width meso_number_of_blades
## Length:2384 Min. : 41.9 Min. :0.3000 Min. :4.000
## Class :character 1st Qu.: 89.6 1st Qu.:0.4000 1st Qu.:5.000
## Mode :character Median :107.2 Median :0.4000 Median :5.000
## Mean :107.2 Mean :0.5516 Mean :5.505
## 3rd Qu.:124.0 3rd Qu.:0.6000 3rd Qu.:6.000
## Max. :198.5 Max. :1.1000 Max. :8.000
## NA's :896 NA's :896 NA's :896
## meso_total_dry_wt meso_blade_dry_wt meso_microepiphyte_wt
## Min. :0.500 Min. :0.100 Min. : 3.60
## 1st Qu.:1.200 1st Qu.:0.200 1st Qu.:17.70
## Median :1.700 Median :0.300 Median :23.20
## Mean :1.798 Mean :0.329 Mean :25.64
## 3rd Qu.:2.200 3rd Qu.:0.400 3rd Qu.:35.40
## Max. :5.200 Max. :1.000 Max. :52.70
## NA's :896 NA's :896 NA's :896
## meso_macroepiphyte_wt meso_smithora_wt meso_bryozoans broken
## Min. :0.0000 Min. :0.000 Length:2384 Length:2384
## 1st Qu.:0.0000 1st Qu.:0.000 Class :character Class :character
## Median :0.0000 Median :0.000 Mode :character Mode :character
## Mean :0.2204 Mean :0.228
## 3rd Qu.:0.0000 3rd Qu.:0.000
## Max. :4.2000 Max. :4.100
## NA's :896 NA's :896
## smithora_shoot smithora_region ocean_id mean_depth
## Length:2384 Length:2384 Length:2384 Min. : 0.500
## Class :character Class :character Class :character 1st Qu.: 4.000
## Mode :character Mode :character Mode :character Median : 5.000
## Mean : 5.117
## 3rd Qu.: 6.000
## Max. :10.000
##
## ctd_depth conductivity temperature pressure
## Min. :0.50 Min. :33.85 Min. :10.28 Min. :10.64
## 1st Qu.:4.08 1st Qu.:35.09 1st Qu.:11.54 1st Qu.:14.25
## Median :4.37 Median :37.64 Median :13.93 Median :14.54
## Mean :4.33 Mean :37.14 Mean :13.42 Mean :14.39
## 3rd Qu.:4.61 3rd Qu.:38.84 3rd Qu.:14.81 3rd Qu.:14.78
## Max. :9.49 Max. :39.60 Max. :15.93 Max. :19.71
##
## par fluorometry_chlorophyll turbidity dissolved_oxygen
## Min. : 80.88 Min. :-0.31 Min. : 0.600 Min. : 79.82
## 1st Qu.:141.25 1st Qu.: 0.92 1st Qu.: 0.790 1st Qu.:108.37
## Median :246.00 Median : 1.26 Median : 1.260 Median :124.20
## Mean :243.00 Mean : 1.27 Mean : 3.509 Mean :117.57
## 3rd Qu.:259.93 3rd Qu.: 1.53 3rd Qu.: 1.470 3rd Qu.:132.04
## Max. :608.45 Max. : 2.37 Max. :16.820 Max. :137.81
##
## salinity speed_of_sound dissolved_oxygen_concentration chl_a
## Min. :29.80 Min. :1486 Min. : 7.37 Min. :0.0074
## 1st Qu.:30.82 1st Qu.:1490 1st Qu.: 9.50 1st Qu.:0.0253
## Median :31.13 Median :1499 Median :10.34 Median :0.0788
## Mean :31.01 Mean :1497 Mean :10.07 Mean :0.0668
## 3rd Qu.:31.25 3rd Qu.:1502 3rd Qu.:11.13 3rd Qu.:0.0825
## Max. :31.46 Max. :1505 Max. :11.24 Max. :0.2918
## NA's :720
## phaeo nitrate_nitrite_ugL phosphate_ugL silicate_ugL
## Min. :0.6352 Min. : 0.4240 Min. :0.2321 Min. : 2.296
## 1st Qu.:0.8792 1st Qu.: 0.5497 1st Qu.:0.3311 1st Qu.: 4.444
## Median :2.3793 Median : 5.8840 Median :0.6839 Median :15.939
## Mean :2.2349 Mean : 4.7549 Mean :0.6123 Mean :12.076
## 3rd Qu.:3.0255 3rd Qu.: 8.4623 3rd Qu.:0.8835 3rd Qu.:18.826
## Max. :3.9090 Max. :14.2314 Max. :1.3045 Max. :25.904
## NA's :720 NA's :720 NA's :720 NA's :720
## mg.region.mean.zm.density.plot mg.region.se.zm.density.plot
## Min. : 7.43 Min. :0.4100
## 1st Qu.:11.04 1st Qu.:0.6500
## Median :11.04 Median :0.7700
## Mean :11.82 Mean :0.7286
## 3rd Qu.:13.64 3rd Qu.:0.7700
## Max. :15.67 Max. :1.0300
## NA's :560 NA's :560
## mg.region.mean.zm.density.msq mg.site.mean.zm.density.plot
## Min. :118.9 Min. : 5.58
## 1st Qu.:176.7 1st Qu.: 8.67
## Median :176.7 Median :12.17
## Mean :189.1 Mean :12.14
## 3rd Qu.:218.2 3rd Qu.:15.04
## Max. :250.7 Max. :19.13
## NA's :560 NA's :1152
## mg.site.se.mean.zm.density.plot mg.site.zm.shoot.biomass.site.g
## Min. :0.4900 Min. :1.100
## 1st Qu.:0.5100 1st Qu.:1.530
## Median :0.9100 Median :1.760
## Mean :0.9825 Mean :1.707
## 3rd Qu.:1.5200 3rd Qu.:1.900
## Max. :1.6600 Max. :2.110
## NA's :1152 NA's :560
## mg.site.sd.zm.shoot.biomass.g mg.region.mean.zm.shoot.biomass.g
## Min. :0.2900 Min. :1.350
## 1st Qu.:0.4300 1st Qu.:1.700
## Median :0.8700 Median :1.830
## Mean :0.8125 Mean :1.941
## 3rd Qu.:1.2500 3rd Qu.:2.380
## Max. :1.3000 Max. :2.380
## NA's :560 NA's :560
## mg.region.sd.zm.shoot.biomass.g mg.site.mean.zm.shoot.biomass.g.msq
## Min. :0.5700 Min. : 98.56
## 1st Qu.:0.7400 1st Qu.:220.83
## Median :0.9000 Median :299.22
## Mean :0.8357 Mean :336.82
## 3rd Qu.:0.9000 3rd Qu.:496.33
## Max. :1.0300 Max. :645.92
## NA's :560 NA's :1152
## mg.site.se.zm.shoot.biomass.g.msq mg.region.mean.zm.shoot.biomass.g.msq
## Min. :11.74 Min. :160.3
## 1st Qu.:29.67 1st Qu.:371.7
## Median :35.68 Median :420.8
## Mean :49.09 Mean :370.0
## 3rd Qu.:88.86 3rd Qu.:420.8
## Max. :92.38 Max. :459.7
## NA's :1152 NA's :560
## mg.region.se.zm.shoot.biomass.g.msq mg.site.mean.shoot.length.cm
## Min. :16.48 Min. : 92.81
## 1st Qu.:41.19 1st Qu.:100.48
## Median :41.19 Median :109.07
## Mean :39.85 Mean :114.22
## 3rd Qu.:49.01 3rd Qu.:121.68
## Max. :49.28 Max. :152.08
## NA's :560 NA's :560
## mg.site.se.shoot.length.cm mg.region.mean.shoot.length.cm
## Min. : 5.45 Min. : 97.24
## 1st Qu.: 9.33 1st Qu.:103.78
## Median :12.57 Median :112.70
## Mean :14.16 Mean :119.16
## 3rd Qu.:17.89 3rd Qu.:139.45
## Max. :30.64 Max. :139.45
## NA's :560 NA's :560
## mg.region.se.shoot.length.cm mg.site.mean.shoot.epi.biomass.g
## Min. :6.860 Min. :0.0300
## 1st Qu.:7.280 1st Qu.:0.0600
## Median :7.960 Median :0.1700
## Mean :7.673 Mean :0.4152
## 3rd Qu.:7.960 3rd Qu.:0.3100
## Max. :8.180 Max. :2.1900
## NA's :560 NA's :1152
## mg.site.se.shoot.epi.biomass.g mg.region.mean.shoot.epi.biomass.g
## Min. :0.0000 Min. :0.0400
## 1st Qu.:0.0300 1st Qu.:0.1900
## Median :0.0600 Median :0.2100
## Mean :0.0836 Mean :0.5688
## 3rd Qu.:0.1200 3rd Qu.:1.1700
## Max. :0.2600 Max. :1.1700
## NA's :1152 NA's :560
## mg.region.se.shoot.epi.biomass.g mg.site.mean.meso.biomass.g.per.zm.g
## Min. :0.0100 Min. :0.0100
## 1st Qu.:0.0500 1st Qu.:0.0200
## Median :0.0700 Median :0.0400
## Mean :0.1037 Mean :0.0531
## 3rd Qu.:0.1900 3rd Qu.:0.0700
## Max. :0.1900 Max. :0.1400
## NA's :560 NA's :1504
## mg.site.se.meso.biomass.g.per.zm.g mg.region.mean.meso.biomass.g.per.zm.g
## Min. :0.0100 Min. :0.0200
## 1st Qu.:0.0100 1st Qu.:0.0300
## Median :0.0200 Median :0.0400
## Mean :0.0195 Mean :0.0711
## 3rd Qu.:0.0300 3rd Qu.:0.1300
## Max. :0.0300 Max. :0.1300
## NA's :1504 NA's :560
## mg.region.se.meso.biomass.g.per.zm.g bed_area_m2 Description
## Min. :0.0100 Min. : 7400 Length:2384
## 1st Qu.:0.0100 1st Qu.: 18500 Class :character
## Median :0.0200 Median :191076 Mode :character
## Mean :0.0204 Mean :211586
## 3rd Qu.:0.0300 3rd Qu.:340000
## Max. :0.0300 Max. :569520
## NA's :560
## total_abundance Rank1 Rank2 Rank3
## Min. : 3141 Length:2384 Length:2384 Length:2384
## 1st Qu.: 16263 Class :character Class :character Class :character
## Median : 23035 Mode :character Mode :character Mode :character
## Mean : 27267
## 3rd Qu.: 34284
## Max. :103567
##
## Rank4 Rank5 Rank6 Rank7
## Length:2384 Length:2384 Length:2384 Length:2384
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## abundance relative_abundance
## Min. : 0.0 Min. :0.0000000
## 1st Qu.: 7.0 1st Qu.:0.0002844
## Median : 100.0 Median :0.0047309
## Mean : 1704.2 Mean :0.0625000
## 3rd Qu.: 989.2 3rd Qu.:0.0463993
## Max. :75443.0 Max. :0.8370517
##
Now, lets look at the data a bit bette
table(seagrass$region)
##
## choked goose mcmullin triquet
## 944 448 576 416
So we see that we have 4 regions here. If we only want chocked, we use the code we used in lab and check the data again
choked = subset(seagrass, seagrass$region =="choked")
table(choked$region)
##
## choked
## 944
Now that we only have choked now and that the number of observations in choked (944) is the same for both dataframes
Now, let’s say we wanted to know what rows we would keep before subsetting, we would use which()
which(seagrass$region == "choked")
## [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
## [16] 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
## [31] 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45
## [46] 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## [61] 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75
## [76] 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
## [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105
## [106] 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## [121] 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135
## [136] 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150
## [151] 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165
## [166] 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## [181] 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195
## [196] 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210
## [211] 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225
## [226] 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## [241] 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255
## [256] 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270
## [271] 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285
## [286] 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
## [301] 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315
## [316] 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330
## [331] 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345
## [346] 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
## [361] 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375
## [376] 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390
## [391] 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405
## [406] 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420
## [421] 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435
## [436] 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450
## [451] 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465
## [466] 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480
## [481] 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495
## [496] 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510
## [511] 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525
## [526] 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540
## [541] 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555
## [556] 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570
## [571] 1576 1577 1578 1579 1580 1581 1582 1583 1584 1585 1586 1587 1588 1589 1590
## [586] 1591 1592 1593 1594 1595 1596 1597 1598 1599 1600 1601 1602 1603 1604 1605
## [601] 1606 1607 1608 1609 1610 1611 1612 1613 1614 1615 1616 1617 1618 1619 1620
## [616] 1621 1622 1623 1624 1625 1626 1627 1628 1629 1630 1631 1632 1633 1634 1635
## [631] 1636 1637 1638 1639 1640 1641 1642 1643 1644 1645 1646 1647 1648 1649 1650
## [646] 1651 1652 1653 1654 1655 1656 1657 1658 1659 1660 1661 1662 1663 1664 1665
## [661] 1666 1667 1668 1669 1670 1671 1672 1673 1674 1675 1676 1677 1678 1679 1680
## [676] 1681 1682 1683 1684 1685 1686 1687 1688 1689 1690 1691 1692 1693 1694 1695
## [691] 1696 1697 1698 1699 1700 1701 1702 1703 1704 1705 1706 1707 1708 1709 1710
## [706] 1711 1712 1713 1714 1715 1716 1717 1718 1719 1720 1721 1722 1723 1724 1725
## [721] 1726 1727 1728 1729 1730 1731 1732 1733 1734 1735 1736 1737 1738 1739 1740
## [736] 1741 1742 1743 1744 1745 1746 1747 1748 1749 1750 1751 1752 1753 1754 1755
## [751] 1756 1757 1758 1759 1760 1761 1762 1763 1764 1765 1766 1767 1768 1769 1770
## [766] 1771 1772 1773 1774 1775 1776 1777 1778 1779 1780 1781 1782 1783 1784 1785
## [781] 1786 1787 1788 1789 1790 1791 1792 1793 1794 1795 1796 1797 1798 1799 1800
## [796] 1801 1802 1803 1804 1805 1806 1807 1808 1809 1810 1811 1812 1813 1814 1815
## [811] 1816 1817 1818 1819 1820 1821 1822 1823 1824 1825 1826 1827 1828 1829 1830
## [826] 1831 1832 1833 1834 1835 1836 1837 1838 1839 1840 1841 1842 1843 1844 1845
## [841] 1846 1847 1848 1849 1850 1851 1852 1853 1854 1855 1856 1857 1858 1859 1860
## [856] 1861 1862 1863 1864 1865 1866 1867 1868 1869 1870 1871 1872 1873 1874 1875
## [871] 1876 1877 1878 1879 1880 1881 1882 1883 1884 1885 1886 1887 1888 1889 1890
## [886] 2236 2237 2238 2239 2240 2241 2242 2243 2244 2245 2246 2247 2248 2249 2250
## [901] 2251 2252 2253 2254 2255 2256 2257 2258 2259 2260 2261 2262 2263 2264 2265
## [916] 2266 2267 2268 2269 2270 2271 2272 2273 2341 2342 2343 2344 2345 2346 2347
## [931] 2348 2349 2350 2351 2352 2353 2354 2355 2356 2357 2358 2359 2360 2361
this is more useful if you are trying to remove specific numeric data
which(seagrass$relative_abundance>0.8)
## [1] 763 2278 2279 2292 2325 2369
This tell use that in the seagrass dataset, the only rows where the relative abundance is greater than 0.8 are the rows 763 2278 2279 2292 2325 and 2369
We could then only keep these rows if that’s something we were interested in
# subset
seagrass_08 = subset(seagrass, seagrass$relative_abundance>0.8)
#we can check with a table
table(seagrass_08) #see that it's a 6x6 column
## < table of extent 6 x 6 x 0 x 6 x 2 x 6 x 1 x 1 x 2 x 1 x 1 x 3 x 4 x 4 x 4 x 2 x 2 x 2 x 1 x 2 x 6 x 2 x 3 x 5 x 3 x 4 x 0 x 4 x 4 x 1 x 3 x 4 x 2 x 4 x 1 x 1 x 1 x 2 x 1 x 1 x 4 x 3 x 4 x 4 x 4 x 4 x 4 x 4 x 4 x 4 x 4 x 4 x 4 x 1 x 1 x 1 x 1 x 1 x 2 x 2 x 2 x 3 x 3 x 3 x 3 x 2 x 2 x 3 x 3 x 2 x 2 x 3 x 3 x 2 x 2 x 3 x 3 x 2 x 2 x 1 x 1 x 2 x 1 x 4 x 6 x 6 x 2 x 1 x 1 x 1 x 1 x 1 x 1 x 6 x 6 >
# we can check with summary to make sure the values ma sense
summary(seagrass_08$relative_abundance)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.8012 0.8160 0.8206 0.8196 0.8231 0.8371
We can also use other ways to check the data
head(seagrass_08$relative_abundance)
## [1] 0.8184569 0.8227821 0.8231488 0.8151271 0.8370517 0.8012140
list(seagrass_08$relative_abundance)
## [[1]]
## [1] 0.8184569 0.8227821 0.8231488 0.8151271 0.8370517 0.8012140
Do you see a difference between these two ways of checking? What about with the entire seagrass dataset? The output with the full dataset it at the end of the page. For now, let’s do one more exmaple
Subset choked but only keep relative abundance greater or equal to 0.5
choked_05 = subset(seagrass, seagrass$region=="choked"&seagrass$relative_abundance>=0.5)
let’s check that it worked
#see the minimum value
min(choked_05$relative_abundance)
## [1] 0.5024889
#see the maximum value
max(choked_05$relative_abundance)
## [1] 0.787434
#or just use summary to see everything at once
summary(choked_05)
## SampleID BarcodeSequence LinkerPrimerSequence swab_id
## Length:44 Length:44 Mode:logical Length:44
## Class :character Class :character NA's:44 Class :character
## Mode :character Mode :character Mode :character
##
##
##
##
## barcode_plate barcode_well project_name person_responsible
## Length:44 Length:44 Length:44 Length:44
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## date Run_id sequence_file region
## Length:44 Length:44 Length:44 Length:44
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## site latitude longitude sample_method
## Length:44 Min. :51.67 Min. :-128.1 Length:44
## Class :character 1st Qu.:51.67 1st Qu.:-128.1 Class :character
## Mode :character Median :51.67 Median :-128.1 Mode :character
## Mean :51.67 Mean :-128.1
## 3rd Qu.:51.68 3rd Qu.:-128.1
## Max. :51.68 Max. :-128.1
##
## host_species host_type survey_type dna_extraction_plate
## Length:44 Length:44 Length:44 Length:44
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## dna_extraction_well growth sample_growth quadrat_id
## Length:44 Length:44 Length:44 Length:44
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## meso_quadrat_density_shoots_m2 meso_quadrat_biomass_g_m2 meso_quadrats_epimass
## Min. :12.00 Min. : 9.60 Min. : 0.400
## 1st Qu.:16.00 1st Qu.:15.40 1st Qu.: 1.000
## Median :20.00 Median :26.60 Median : 1.200
## Mean :21.28 Mean :22.26 Mean : 3.564
## 3rd Qu.:24.00 3rd Qu.:28.20 3rd Qu.: 3.200
## Max. :40.00 Max. :35.80 Max. :10.500
## NA's :19 NA's :19 NA's :19
## meso_shoot_id meso_shoot_length meso_shoot_width meso_number_of_blades
## Length:44 Min. : 77.0 Min. :0.3000 Min. :4.0
## Class :character 1st Qu.:106.5 1st Qu.:0.5000 1st Qu.:5.0
## Mode :character Median :113.5 Median :0.7000 Median :5.0
## Mean :116.3 Mean :0.6909 Mean :5.5
## 3rd Qu.:130.8 3rd Qu.:0.8750 3rd Qu.:6.0
## Max. :147.1 Max. :1.1000 Max. :8.0
## NA's :22 NA's :22 NA's :22
## meso_total_dry_wt meso_blade_dry_wt meso_microepiphyte_wt
## Min. :1.300 Min. :0.30 Min. :10.40
## 1st Qu.:1.900 1st Qu.:0.40 1st Qu.:16.80
## Median :2.600 Median :0.40 Median :19.60
## Mean :2.459 Mean :0.45 Mean :19.70
## 3rd Qu.:2.875 3rd Qu.:0.50 3rd Qu.:23.85
## Max. :5.200 Max. :1.00 Max. :26.20
## NA's :22 NA's :22 NA's :22
## meso_macroepiphyte_wt meso_smithora_wt meso_bryozoans broken
## Min. :0.0000 Min. :0.0000 Length:44 Length:44
## 1st Qu.:0.0000 1st Qu.:0.0000 Class :character Class :character
## Median :0.0000 Median :0.0000 Mode :character Mode :character
## Mean :0.4636 Mean :0.5182
## 3rd Qu.:0.0000 3rd Qu.:0.2750
## Max. :4.2000 Max. :4.1000
## NA's :22 NA's :22
## smithora_shoot smithora_region ocean_id mean_depth
## Length:44 Length:44 Length:44 Min. : 0.50
## Class :character Class :character Class :character 1st Qu.: 4.00
## Mode :character Mode :character Mode :character Median : 5.00
## Mean : 4.75
## 3rd Qu.: 5.00
## Max. :10.00
##
## ctd_depth conductivity temperature pressure
## Min. :0.500 Min. :33.85 Min. :10.28 Min. :10.64
## 1st Qu.:4.520 1st Qu.:35.00 1st Qu.:11.18 1st Qu.:14.69
## Median :4.570 Median :35.02 Median :11.54 Median :14.74
## Mean :4.956 Mean :34.98 Mean :11.28 Mean :14.84
## 3rd Qu.:5.045 3rd Qu.:35.04 3rd Qu.:11.54 3rd Qu.:14.77
## Max. :9.490 Max. :35.72 Max. :13.31 Max. :19.71
##
## par fluorometry_chlorophyll turbidity dissolved_oxygen
## Min. : 80.88 Min. :-0.310 Min. : 0.600 Min. : 79.82
## 1st Qu.:138.20 1st Qu.: 1.532 1st Qu.: 0.705 1st Qu.: 95.55
## Median :141.25 Median : 2.370 Median :10.420 Median :108.37
## Mean :176.35 Mean : 1.939 Mean : 8.894 Mean :101.34
## 3rd Qu.:154.68 3rd Qu.: 2.370 3rd Qu.:16.820 3rd Qu.:108.37
## Max. :608.45 Max. : 2.370 Max. :16.820 Max. :124.31
##
## salinity speed_of_sound dissolved_oxygen_concentration
## Min. :29.80 Min. :1486 Min. : 7.370
## 1st Qu.:30.56 1st Qu.:1489 1st Qu.: 8.620
## Median :30.56 Median :1490 Median : 9.720
## Mean :30.74 Mean :1489 Mean : 9.121
## 3rd Qu.:30.82 3rd Qu.:1490 3rd Qu.: 9.720
## Max. :31.43 Max. :1495 Max. :10.790
##
## chl_a phaeo nitrate_nitrite_ugL phosphate_ugL
## Min. :0.04490 Min. :2.159 Min. : 1.497 Min. :0.2697
## 1st Qu.:0.04490 1st Qu.:2.360 1st Qu.: 5.884 1st Qu.:0.6839
## Median :0.06185 Median :2.379 Median : 5.884 Median :0.6839
## Mean :0.07328 Mean :2.668 Mean : 7.579 Mean :0.8072
## 3rd Qu.:0.08250 3rd Qu.:2.679 3rd Qu.: 8.462 3rd Qu.:0.8835
## Max. :0.29180 Max. :3.909 Max. :14.231 Max. :1.3045
##
## silicate_ugL mg.region.mean.zm.density.plot mg.region.se.zm.density.plot
## Min. : 6.29 Min. :11.04 Min. :0.77
## 1st Qu.:15.94 1st Qu.:11.04 1st Qu.:0.77
## Median :15.94 Median :11.04 Median :0.77
## Mean :17.52 Mean :11.04 Mean :0.77
## 3rd Qu.:18.83 3rd Qu.:11.04 3rd Qu.:0.77
## Max. :25.90 Max. :11.04 Max. :0.77
## NA's :11 NA's :11
## mg.region.mean.zm.density.msq mg.site.mean.zm.density.plot
## Min. :176.7 Min. :11.89
## 1st Qu.:176.7 1st Qu.:11.89
## Median :176.7 Median :11.89
## Mean :176.7 Mean :11.89
## 3rd Qu.:176.7 3rd Qu.:11.89
## Max. :176.7 Max. :11.89
## NA's :11 NA's :37
## mg.site.se.mean.zm.density.plot mg.site.zm.shoot.biomass.site.g
## Min. :1.66 Min. :1.760
## 1st Qu.:1.66 1st Qu.:1.850
## Median :1.66 Median :1.900
## Mean :1.66 Mean :1.864
## 3rd Qu.:1.66 3rd Qu.:1.900
## Max. :1.66 Max. :1.900
## NA's :37 NA's :11
## mg.site.sd.zm.shoot.biomass.g mg.region.mean.zm.shoot.biomass.g
## Min. :0.430 Min. :2.38
## 1st Qu.:1.040 1st Qu.:2.38
## Median :1.300 Median :2.38
## Mean :1.068 Mean :2.38
## 3rd Qu.:1.300 3rd Qu.:2.38
## Max. :1.300 Max. :2.38
## NA's :11 NA's :11
## mg.region.sd.zm.shoot.biomass.g mg.site.mean.zm.shoot.biomass.g.msq
## Min. :0.9 Min. :352.5
## 1st Qu.:0.9 1st Qu.:352.5
## Median :0.9 Median :352.5
## Mean :0.9 Mean :352.5
## 3rd Qu.:0.9 3rd Qu.:352.5
## Max. :0.9 Max. :352.5
## NA's :11 NA's :37
## mg.site.se.zm.shoot.biomass.g.msq mg.region.mean.zm.shoot.biomass.g.msq
## Min. :55.49 Min. :420.8
## 1st Qu.:55.49 1st Qu.:420.8
## Median :55.49 Median :420.8
## Mean :55.49 Mean :420.8
## 3rd Qu.:55.49 3rd Qu.:420.8
## Max. :55.49 Max. :420.8
## NA's :37 NA's :11
## mg.region.se.zm.shoot.biomass.g.msq mg.site.mean.shoot.length.cm
## Min. :41.19 Min. :100.5
## 1st Qu.:41.19 1st Qu.:121.7
## Median :41.19 Median :121.7
## Mean :41.19 Mean :122.7
## 3rd Qu.:41.19 3rd Qu.:121.7
## Max. :41.19 Max. :152.1
## NA's :11 NA's :11
## mg.site.se.shoot.length.cm mg.region.mean.shoot.length.cm
## Min. : 5.88 Min. :139.4
## 1st Qu.:17.89 1st Qu.:139.4
## Median :17.89 Median :139.4
## Mean :17.66 Mean :139.4
## 3rd Qu.:17.89 3rd Qu.:139.4
## Max. :30.64 Max. :139.4
## NA's :11 NA's :11
## mg.region.se.shoot.length.cm mg.site.mean.shoot.epi.biomass.g
## Min. :7.96 Min. :2.19
## 1st Qu.:7.96 1st Qu.:2.19
## Median :7.96 Median :2.19
## Mean :7.96 Mean :2.19
## 3rd Qu.:7.96 3rd Qu.:2.19
## Max. :7.96 Max. :2.19
## NA's :11 NA's :37
## mg.site.se.shoot.epi.biomass.g mg.region.mean.shoot.epi.biomass.g
## Min. :0.26 Min. :1.17
## 1st Qu.:0.26 1st Qu.:1.17
## Median :0.26 Median :1.17
## Mean :0.26 Mean :1.17
## 3rd Qu.:0.26 3rd Qu.:1.17
## Max. :0.26 Max. :1.17
## NA's :37 NA's :11
## mg.region.se.shoot.epi.biomass.g mg.site.mean.meso.biomass.g.per.zm.g
## Min. :0.19 Min. :0.14
## 1st Qu.:0.19 1st Qu.:0.14
## Median :0.19 Median :0.14
## Mean :0.19 Mean :0.14
## 3rd Qu.:0.19 3rd Qu.:0.14
## Max. :0.19 Max. :0.14
## NA's :11 NA's :37
## mg.site.se.meso.biomass.g.per.zm.g mg.region.mean.meso.biomass.g.per.zm.g
## Min. :0.03 Min. :0.13
## 1st Qu.:0.03 1st Qu.:0.13
## Median :0.03 Median :0.13
## Mean :0.03 Mean :0.13
## 3rd Qu.:0.03 3rd Qu.:0.13
## Max. :0.03 Max. :0.13
## NA's :37 NA's :11
## mg.region.se.meso.biomass.g.per.zm.g bed_area_m2 Description
## Min. :0.03 Min. :340000 Length:44
## 1st Qu.:0.03 1st Qu.:340000 Class :character
## Median :0.03 Median :340000 Mode :character
## Mean :0.03 Mean :340000
## 3rd Qu.:0.03 3rd Qu.:340000
## Max. :0.03 Max. :340000
## NA's :11
## total_abundance Rank1 Rank2 Rank3
## Min. : 3141 Length:44 Length:44 Length:44
## 1st Qu.:14559 Class :character Class :character Class :character
## Median :24798 Mode :character Mode :character Mode :character
## Mean :29074
## 3rd Qu.:39049
## Max. :95105
##
## Rank4 Rank5 Rank6 Rank7
## Length:44 Length:44 Length:44 Length:44
## Class :character Class :character Class :character Class :character
## Mode :character Mode :character Mode :character Mode :character
##
##
##
##
## abundance relative_abundance
## Min. : 1803 Min. :0.5025
## 1st Qu.: 8440 1st Qu.:0.5422
## Median :14434 Median :0.5848
## Mean :17431 Mean :0.5887
## 3rd Qu.:22264 3rd Qu.:0.6200
## Max. :52479 Max. :0.7874
##
head(seagrass$relative_abundance)
## [1] 0.004622496 0.017402338 0.000000000 0.000000000 0.017221064 0.037342518
list(seagrass$relative_abundance)
## [[1]]
## [1] 4.622496e-03 1.740234e-02 0.000000e+00 0.000000e+00 1.722106e-02
## [6] 3.734252e-02 4.250884e-02 1.060455e-02 1.237197e-01 3.625487e-03
## [11] 4.513732e-02 5.827971e-02 1.894317e-02 5.365721e-02 2.528777e-02
## [16] 0.000000e+00 3.824757e-03 6.171766e-03 1.303894e-03 8.257997e-03
## [21] 2.433936e-02 1.990612e-02 2.399166e-02 1.310848e-01 7.823366e-04
## [26] 1.416898e-02 1.106572e-01 7.927677e-02 8.431850e-03 3.755216e-02
## [31] 0.000000e+00 2.475452e-03 3.053057e-03 1.732816e-03 1.006684e-02
## [36] 2.888027e-02 9.819292e-03 1.163462e-02 1.393679e-01 1.155211e-03
## [41] 1.939104e-02 1.592541e-02 1.694034e-01 3.548148e-02 3.721429e-02
## [46] 5.730878e-04 2.254145e-03 1.872087e-03 5.348819e-04 3.018262e-03
## [51] 8.749140e-03 1.352487e-02 4.126232e-03 3.396500e-02 2.980057e-03
## [56] 1.230228e-02 5.757622e-02 5.167342e-01 5.501643e-03 4.026897e-02
## [61] 1.250813e-04 2.426577e-03 9.506179e-03 4.002602e-04 1.255816e-02
## [66] 1.490969e-02 9.431130e-03 1.751138e-02 4.855656e-02 5.203382e-03
## [71] 1.460950e-02 3.617351e-02 1.589533e-01 1.412668e-01 1.693601e-02
## [76] 0.000000e+00 0.000000e+00 3.098435e-03 0.000000e+00 0.000000e+00
## [81] 6.395487e-03 4.846270e-03 1.747835e-03 1.195678e-02 1.191706e-03
## [86] 3.972352e-03 1.481687e-02 5.195043e-01 2.705172e-02 4.250417e-03
## [91] 0.000000e+00 1.786584e-02 3.602376e-03 2.872164e-03 1.538312e-02
## [96] 6.362574e-02 7.633142e-02 1.869341e-02 4.337455e-02 1.168338e-03
## [101] 4.829131e-02 1.260831e-02 9.249343e-04 1.217019e-03 1.429267e-01
## [106] 1.290622e-04 1.626184e-03 6.969361e-04 8.259983e-04 3.007150e-02
## [111] 7.841821e-02 9.826798e-02 5.446426e-03 1.419685e-02 0.000000e+00
## [116] 1.164141e-02 1.910121e-03 1.290622e-04 1.290622e-04 1.449111e-01
## [121] 0.000000e+00 6.354219e-03 9.627604e-04 8.472292e-04 1.474949e-02
## [126] 6.681557e-02 6.851003e-02 3.646936e-02 1.725267e-02 5.391458e-04
## [131] 1.987138e-02 3.234875e-03 1.540417e-04 0.000000e+00 1.762622e-01
## [136] 0.000000e+00 1.033247e-02 2.328076e-03 6.016375e-04 1.216354e-02
## [141] 7.523085e-02 1.307384e-01 2.288838e-02 1.593031e-02 4.446886e-04
## [146] 1.459625e-02 2.301917e-03 1.569489e-04 3.400560e-04 1.420388e-01
## [151] 0.000000e+00 5.191257e-03 3.708041e-03 6.635441e-04 1.494926e-02
## [156] 8.290398e-02 1.127244e-01 1.280250e-02 1.912568e-02 3.903201e-04
## [161] 1.327088e-02 6.245121e-04 2.732240e-04 2.341920e-04 1.023419e-01
## [166] 0.000000e+00 6.014787e-03 3.922687e-03 6.894420e-04 1.595226e-02
## [171] 9.782945e-02 1.035352e-01 2.037420e-02 1.854361e-02 8.796329e-04
## [176] 1.673680e-02 3.898914e-03 2.852864e-04 5.230250e-04 1.257162e-01
## [181] 0.000000e+00 0.000000e+00 4.119698e-03 0.000000e+00 2.761556e-03
## [186] 1.041242e-02 1.072932e-02 1.222328e-03 1.780977e-01 1.557336e-02
## [191] 1.000498e-02 6.374213e-02 2.607633e-01 9.688080e-03 1.860655e-02
## [196] 0.000000e+00 4.185852e-04 7.800906e-03 0.000000e+00 9.475246e-03
## [201] 1.742836e-02 1.681951e-02 1.217702e-03 1.407968e-01 2.914875e-02
## [206] 2.682750e-02 1.434606e-01 3.013813e-02 7.648693e-03 2.648503e-02
## [211] 0.000000e+00 8.381047e-03 3.999668e-03 9.957680e-05 4.978840e-03
## [216] 3.364036e-02 4.729898e-03 6.804415e-04 1.141648e-01 9.360219e-03
## [221] 6.356319e-03 2.837939e-02 1.521533e-01 4.022903e-02 8.281470e-03
## [226] 0.000000e+00 0.000000e+00 1.153566e-03 0.000000e+00 3.238080e-04
## [231] 6.476160e-04 1.639278e-03 0.000000e+00 3.703554e-03 1.042257e-02
## [236] 6.071400e-04 3.068081e-02 2.978426e-01 4.058326e-01 5.059500e-04
## [241] 0.000000e+00 0.000000e+00 1.054305e-02 1.394583e-04 0.000000e+00
## [246] 6.136167e-03 9.622626e-03 0.000000e+00 3.690068e-02 3.497615e-02
## [251] 2.426575e-03 8.334031e-02 2.912727e-01 4.808524e-02 7.809667e-03
## [256] 0.000000e+00 0.000000e+00 0.000000e+00 2.314761e-04 3.240666e-03
## [261] 3.911946e-02 2.060137e-03 9.953473e-04 1.193954e-01 4.513784e-03
## [266] 5.317007e-02 1.893475e-02 2.728409e-01 1.944168e-01 1.326358e-02
## [271] 0.000000e+00 2.135611e-04 0.000000e+00 6.406834e-04 0.000000e+00
## [276] 2.135611e-03 2.669514e-04 3.203417e-04 1.793914e-02 2.349172e-03
## [281] 1.708489e-03 3.828083e-02 4.366257e-01 2.437800e-01 3.416978e-03
## [286] 0.000000e+00 0.000000e+00 0.000000e+00 1.237815e-03 2.217752e-03
## [291] 1.340967e-02 3.146114e-03 2.991387e-03 7.591934e-02 1.284233e-02
## [296] 1.170767e-02 7.014286e-02 3.771726e-01 2.506576e-02 1.748414e-02
## [301] 1.129995e-04 1.581992e-04 1.105135e-02 0.000000e+00 3.028385e-03
## [306] 2.018170e-02 2.259989e-03 1.468993e-03 1.419273e-01 8.994757e-03
## [311] 1.145815e-02 2.870186e-03 5.613813e-02 4.098490e-01 9.604954e-03
## [316] 9.469473e-05 0.000000e+00 3.314315e-04 9.469473e-05 1.444095e-03
## [321] 3.693094e-03 9.469473e-05 1.112663e-03 3.205417e-02 2.367368e-03
## [326] 3.195947e-03 5.847399e-03 7.874340e-01 1.422788e-02 1.704505e-03
## [331] 0.000000e+00 2.558805e-02 3.973299e-03 0.000000e+00 1.589320e-02
## [336] 6.436745e-02 2.876669e-02 7.104259e-02 1.684679e-02 5.085823e-03
## [341] 9.917355e-02 1.112524e-02 0.000000e+00 0.000000e+00 5.578512e-02
## [346] 0.000000e+00 5.933807e-03 1.969410e-03 5.882654e-04 2.654867e-02
## [351] 1.178833e-01 3.895340e-02 1.422068e-02 2.984807e-02 2.225178e-03
## [356] 1.755589e-01 1.276280e-02 1.278838e-04 0.000000e+00 8.852115e-02
## [361] 0.000000e+00 2.915695e-03 1.194046e-03 0.000000e+00 1.782739e-02
## [366] 3.040653e-02 6.675553e-02 2.196490e-02 6.145174e-02 2.554704e-03
## [371] 2.826835e-02 4.470732e-03 1.666111e-04 2.776852e-04 1.591136e-01
## [376] 0.000000e+00 1.277248e-03 0.000000e+00 0.000000e+00 8.429837e-03
## [381] 2.669448e-01 3.576294e-03 1.702997e-03 2.741826e-02 1.106948e-03
## [386] 2.978542e-01 1.592302e-02 9.366485e-04 8.514986e-04 2.733311e-02
## [391] 0.000000e+00 4.731958e-03 7.326902e-04 1.037978e-03 2.292710e-02
## [396] 1.719074e-01 1.114300e-02 7.174258e-03 1.694346e-02 8.120650e-03
## [401] 1.973684e-01 4.240444e-02 4.884601e-04 1.160093e-03 1.828673e-02
## [406] 0.000000e+00 1.910220e-03 0.000000e+00 0.000000e+00 2.929004e-02
## [411] 1.862464e-01 4.457179e-03 7.322509e-03 2.833493e-02 7.959249e-03
## [416] 1.219357e-01 7.004139e-03 1.273480e-03 2.865330e-03 2.737982e-02
## [421] 0.000000e+00 5.126745e-03 4.746986e-04 0.000000e+00 2.088674e-02
## [426] 1.609228e-01 2.895661e-02 1.519035e-03 1.402260e-01 7.690117e-03
## [431] 4.784962e-02 6.171081e-03 0.000000e+00 0.000000e+00 7.016045e-02
## [436] 0.000000e+00 0.000000e+00 1.837823e-03 0.000000e+00 2.017123e-03
## [441] 2.693980e-02 9.502891e-03 5.244520e-03 3.541172e-03 1.197723e-01
## [446] 1.631628e-02 1.434847e-01 3.585997e-03 2.106773e-03 2.241248e-03
## [451] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 4.554985e-03
## [456] 5.928711e-03 4.554985e-03 1.662931e-03 9.399176e-03 2.012147e-01
## [461] 4.699588e-03 1.171282e-01 1.865375e-02 4.410382e-03 1.735232e-03
## [466] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [471] 6.955336e-03 1.295602e-03 0.000000e+00 3.409478e-04 2.857143e-02
## [476] 0.000000e+00 4.364132e-02 1.264235e-01 2.783498e-01 1.193317e-02
## [481] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 7.680492e-03
## [486] 1.056068e-02 6.336406e-03 0.000000e+00 1.365207e-01 1.899002e-01
## [491] 1.728111e-03 1.152074e-03 1.071429e-01 9.581413e-02 0.000000e+00
## [496] 0.000000e+00 2.345100e-02 1.086152e-03 0.000000e+00 9.429770e-03
## [501] 1.729943e-01 1.476179e-02 8.837324e-03 2.146137e-01 3.460874e-02
## [506] 3.120217e-02 3.174525e-02 1.974821e-04 4.887682e-03 2.666008e-03
## [511] 0.000000e+00 1.394322e-02 7.322700e-03 5.015548e-04 4.985455e-02
## [516] 1.055271e-01 4.393620e-02 1.534758e-02 1.093390e-02 6.319591e-03
## [521] 8.205437e-02 2.848831e-02 6.018658e-04 1.203732e-03 1.594944e-02
## [526] 0.000000e+00 1.175986e-03 1.117187e-03 0.000000e+00 5.674134e-02
## [531] 1.831011e-01 4.292350e-02 1.217146e-02 1.264185e-02 4.351150e-03
## [536] 9.378491e-02 1.399424e-02 0.000000e+00 0.000000e+00 1.816899e-02
## [541] 2.047418e-04 5.732771e-04 2.047418e-03 3.685353e-04 6.351091e-02
## [546] 8.791614e-02 4.971131e-02 6.920274e-03 5.732771e-03 1.920478e-02
## [551] 3.861431e-02 4.668114e-03 4.504320e-04 6.961222e-04 8.394415e-03
## [556] 0.000000e+00 2.429441e-01 7.378712e-04 0.000000e+00 3.308123e-02
## [561] 2.759024e-01 1.666359e-02 1.906167e-03 1.085901e-01 3.689356e-03
## [566] 4.660887e-02 4.857652e-03 0.000000e+00 2.459571e-04 1.401955e-02
## [571] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [576] 5.436912e-03 6.563480e-03 0.000000e+00 7.674373e-01 2.840909e-03
## [581] 7.200235e-03 8.571708e-03 2.889890e-03 3.575627e-03 1.126567e-03
## [586] 0.000000e+00 5.656749e-04 1.131350e-04 7.070936e-04 7.580043e-03
## [591] 2.302297e-02 5.091074e-03 0.000000e+00 6.056963e-01 1.951578e-03
## [596] 6.762643e-02 2.027944e-02 7.373572e-02 5.291888e-02 1.131350e-04
## [601] 3.684760e-03 5.499643e-03 0.000000e+00 0.000000e+00 3.316284e-02
## [606] 5.961612e-02 3.277787e-02 3.849750e-04 2.180058e-01 2.964307e-02
## [611] 3.690260e-02 2.067866e-02 6.698565e-02 1.319914e-03 7.534510e-03
## [616] 0.000000e+00 0.000000e+00 1.078477e-03 0.000000e+00 1.797462e-04
## [621] 1.150376e-03 1.150376e-03 5.032894e-04 3.321710e-02 2.156954e-03
## [626] 1.689614e-03 5.191070e-02 3.589532e-01 3.451127e-03 2.839990e-03
## [631] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3.343160e-04
## [636] 1.701972e-03 8.266723e-03 3.647084e-04 2.656293e-02 2.765705e-03
## [641] 1.884327e-03 1.016017e-01 3.297572e-02 0.000000e+00 7.598091e-04
## [646] 0.000000e+00 1.547378e-03 2.532073e-04 6.752194e-04 3.300135e-02
## [651] 4.023183e-02 1.567072e-02 6.555255e-03 1.547378e-02 1.434841e-03
## [656] 6.065721e-02 5.064146e-04 1.969390e-04 1.969390e-04 4.501463e-04
## [661] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 2.443664e-02
## [666] 5.399473e-02 2.546093e-02 3.072871e-03 1.097454e-02 0.000000e+00
## [671] 1.068188e-01 0.000000e+00 0.000000e+00 0.000000e+00 1.902253e-03
## [676] 0.000000e+00 4.298995e-04 2.149498e-04 0.000000e+00 3.777742e-02
## [681] 8.361545e-02 4.938471e-02 2.686872e-04 4.836369e-03 5.911118e-04
## [686] 2.315009e-01 5.373744e-04 2.686872e-04 0.000000e+00 8.114353e-03
## [691] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 2.956659e-02
## [696] 9.062994e-02 8.001404e-02 1.052816e-03 3.509388e-03 0.000000e+00
## [701] 1.786278e-01 0.000000e+00 0.000000e+00 0.000000e+00 1.579224e-03
## [706] 0.000000e+00 0.000000e+00 0.000000e+00 4.154919e-04 2.955928e-02
## [711] 5.514171e-02 3.139932e-02 3.502003e-03 1.341445e-02 5.045259e-04
## [716] 1.184746e-01 5.638819e-04 3.561359e-04 0.000000e+00 2.967799e-03
## [721] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [726] 2.828779e-02 1.110162e-02 0.000000e+00 1.026900e-01 6.084543e-03
## [731] 1.174210e-02 5.924424e-02 2.113578e-02 0.000000e+00 4.910333e-03
## [736] 0.000000e+00 6.199262e-04 0.000000e+00 5.018450e-04 6.464945e-03
## [741] 4.841328e-02 7.380074e-03 0.000000e+00 6.219926e-01 9.033210e-03
## [746] 5.177860e-02 7.321033e-03 5.904059e-03 1.771218e-04 6.110701e-03
## [751] 1.871900e-04 4.648551e-03 0.000000e+00 0.000000e+00 1.341528e-03
## [756] 5.272517e-03 4.398964e-03 0.000000e+00 2.127726e-02 4.024584e-03
## [761] 3.899791e-03 7.328487e-02 8.184569e-01 9.047515e-04 0.000000e+00
## [766] 3.348599e-03 2.314473e-03 0.000000e+00 7.386615e-04 1.920520e-03
## [771] 7.928301e-03 3.481558e-02 8.371498e-04 1.351258e-01 1.629980e-02
## [776] 7.091151e-03 3.517014e-01 1.993894e-01 3.397843e-03 0.000000e+00
## [781] 4.569563e-03 7.343941e-04 0.000000e+00 0.000000e+00 3.459812e-02
## [786] 5.948592e-02 1.550388e-02 0.000000e+00 1.819665e-01 5.401877e-02
## [791] 6.128111e-02 7.278662e-02 2.301102e-02 1.468788e-02 5.467156e-03
## [796] 5.501458e-03 0.000000e+00 2.200583e-04 1.485394e-03 2.475656e-03
## [801] 4.181108e-03 5.837047e-02 2.750729e-04 6.024096e-02 1.747813e-01
## [806] 1.358860e-02 8.554767e-02 3.223854e-02 3.575948e-03 6.051604e-04
## [811] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 5.649981e-03
## [816] 2.362719e-02 4.776802e-02 7.471050e-04 8.274188e-02 1.120657e-03
## [821] 8.587038e-02 0.000000e+00 0.000000e+00 0.000000e+00 5.136347e-04
## [826] 0.000000e+00 6.024500e-04 0.000000e+00 2.900685e-04 2.084031e-02
## [831] 4.607627e-02 2.300466e-02 5.131981e-04 6.113751e-02 2.208983e-02
## [836] 1.497646e-01 2.186670e-03 1.338778e-04 1.115648e-04 5.065042e-03
## [841] 0.000000e+00 1.252244e-04 0.000000e+00 3.965438e-04 5.134199e-03
## [846] 1.381642e-02 4.670869e-02 1.460951e-03 4.641650e-02 6.428184e-03
## [851] 6.313395e-02 6.678633e-04 1.043536e-04 0.000000e+00 4.800267e-04
## [856] 0.000000e+00 2.665671e-04 0.000000e+00 2.665671e-04 8.210268e-03
## [861] 1.716692e-02 2.884257e-02 0.000000e+00 8.807379e-02 3.358746e-03
## [866] 9.617743e-02 1.066269e-03 0.000000e+00 0.000000e+00 1.066269e-03
## [871] 0.000000e+00 8.826991e-04 0.000000e+00 0.000000e+00 3.592095e-02
## [876] 2.782954e-02 3.842193e-02 0.000000e+00 1.195077e-01 2.353864e-03
## [881] 2.251128e-01 1.152413e-03 1.716359e-04 0.000000e+00 2.133189e-03
## [886] 0.000000e+00 0.000000e+00 1.000400e-04 6.002401e-04 1.845738e-02
## [891] 3.258804e-02 3.461385e-02 1.575630e-03 3.081232e-02 1.510604e-02
## [896] 1.346539e-01 2.425970e-03 1.500600e-04 0.000000e+00 3.001200e-04
## [901] 0.000000e+00 1.833757e-02 6.692545e-04 3.078570e-03 5.621737e-03
## [906] 5.528042e-02 2.074689e-02 6.705930e-02 1.278276e-01 1.065453e-01
## [911] 1.673136e-02 7.361799e-03 4.631241e-02 1.367956e-01 9.235711e-03
## [916] 1.423027e-03 5.821475e-03 4.010349e-03 4.398448e-03 2.069858e-03
## [921] 3.906856e-02 1.060802e-02 3.169470e-02 2.589909e-01 4.592497e-02
## [926] 1.112549e-02 1.655886e-02 2.470893e-02 6.752911e-02 7.373868e-03
## [931] 7.899175e-03 8.165439e-03 4.348984e-03 0.000000e+00 5.857815e-03
## [936] 8.609213e-03 8.875477e-03 6.576728e-02 8.822224e-02 1.087246e-01
## [941] 3.922961e-02 6.541227e-02 5.192154e-02 2.378628e-02 1.952605e-03
## [946] 0.000000e+00 9.760095e-03 4.470273e-04 2.533155e-03 2.086127e-03
## [951] 1.661451e-02 1.467740e-02 4.023245e-02 1.203993e-01 4.075399e-02
## [956] 1.236775e-02 3.515124e-01 3.062137e-02 5.960364e-03 1.117568e-02
## [961] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [966] 0.000000e+00 1.183336e-02 2.771924e-02 6.808235e-03 2.382882e-02
## [971] 3.566218e-03 2.125142e-01 2.193224e-01 0.000000e+00 0.000000e+00
## [976] 0.000000e+00 3.448564e-02 5.344021e-03 0.000000e+00 0.000000e+00
## [981] 6.596526e-03 6.028724e-02 3.022712e-02 8.625585e-02 5.435872e-02
## [986] 1.235805e-02 2.321309e-01 8.633935e-02 0.000000e+00 1.336005e-03
## [991] 0.000000e+00 0.000000e+00 3.012048e-03 2.454261e-03 7.809014e-02
## [996] 8.355645e-02 2.510040e-02 2.788934e-02 2.677376e-03 5.131638e-03
## [1001] 5.232039e-02 0.000000e+00 0.000000e+00 0.000000e+00 4.462294e-03
## [1006] 0.000000e+00 1.199087e-03 2.862337e-03 1.005686e-03 5.190887e-02
## [1011] 8.532859e-02 3.589525e-02 6.896685e-02 1.249371e-02 1.469849e-03
## [1016] 5.067110e-02 1.547209e-04 1.934012e-04 0.000000e+00 1.783159e-02
## [1021] 0.000000e+00 7.216743e-04 2.465720e-03 1.683907e-03 7.613664e-02
## [1026] 7.427231e-02 2.357469e-02 1.894395e-02 1.076497e-02 1.022372e-03
## [1031] 2.964879e-02 0.000000e+00 6.615348e-04 2.405581e-04 1.040414e-02
## [1036] 0.000000e+00 3.882384e-04 2.411165e-03 1.900325e-03 9.025522e-02
## [1041] 7.023029e-02 2.952655e-02 1.215799e-02 3.821083e-03 7.560432e-04
## [1046] 6.385500e-02 2.043360e-04 6.947424e-04 1.103414e-03 3.535013e-03
## [1051] 0.000000e+00 0.000000e+00 4.893124e-03 0.000000e+00 3.966006e-02
## [1056] 5.124903e-02 2.742725e-02 1.386814e-01 7.854751e-03 1.545197e-03
## [1061] 9.271182e-02 0.000000e+00 1.030131e-03 0.000000e+00 1.712593e-02
## [1066] 0.000000e+00 1.605950e-03 9.297608e-04 1.690474e-04 7.429634e-02
## [1071] 6.909813e-02 3.892317e-02 2.157890e-01 6.677373e-03 1.436903e-03
## [1076] 6.326600e-02 0.000000e+00 4.226185e-04 0.000000e+00 1.010058e-02
## [1081] 0.000000e+00 1.311726e-01 1.367219e-03 6.433971e-04 2.469037e-02
## [1086] 2.348400e-02 2.066913e-02 3.056136e-03 2.697442e-01 2.243848e-02
## [1091] 4.246421e-02 3.860383e-03 9.650957e-04 6.514396e-03 1.367219e-03
## [1096] 3.115629e-04 3.653854e-01 3.466137e-03 0.000000e+00 1.943373e-02
## [1101] 9.409199e-02 4.295673e-02 7.789072e-04 1.794992e-01 1.686334e-02
## [1106] 1.799276e-02 3.232465e-03 2.726175e-04 2.920902e-03 3.582973e-03
## [1111] 0.000000e+00 5.835353e-03 0.000000e+00 0.000000e+00 1.714696e-02
## [1116] 7.316635e-02 5.188976e-02 3.959063e-02 1.434599e-01 9.516115e-03
## [1121] 4.084747e-02 6.436844e-02 1.091660e-01 3.546099e-02 1.705719e-03
## [1126] 0.000000e+00 3.463537e-03 0.000000e+00 0.000000e+00 2.212815e-02
## [1131] 3.944583e-02 1.269963e-02 9.813354e-03 1.287281e-01 3.771407e-02
## [1136] 3.155667e-02 5.406966e-02 1.472003e-01 2.212815e-02 7.696748e-04
## [1141] 2.277616e-03 2.910287e-03 5.187903e-03 0.000000e+00 5.061369e-04
## [1146] 1.170442e-02 7.022650e-03 1.474124e-02 8.889029e-02 8.756169e-02
## [1151] 2.619259e-02 3.473365e-02 2.290270e-01 1.581678e-03 7.085917e-03
## [1156] 0.000000e+00 1.053001e-03 0.000000e+00 0.000000e+00 1.677002e-02
## [1161] 1.260481e-01 4.278304e-02 2.031902e-02 2.620803e-02 2.301002e-03
## [1166] 2.283452e-01 1.560002e-03 5.850006e-04 0.000000e+00 9.165009e-03
## [1171] 0.000000e+00 9.691027e-04 2.793296e-03 9.691027e-04 5.535287e-02
## [1176] 5.751910e-02 5.672101e-02 1.550564e-02 3.876411e-03 5.814616e-03
## [1181] 8.636415e-02 3.078326e-03 5.700604e-04 2.280242e-04 3.363357e-03
## [1186] 0.000000e+00 2.016847e-03 8.304662e-04 0.000000e+00 2.190849e-02
## [1191] 4.745521e-02 5.172618e-02 7.205283e-02 3.480049e-03 3.045043e-03
## [1196] 1.171748e-01 0.000000e+00 3.559141e-04 0.000000e+00 3.598687e-03
## [1201] 3.318339e-04 7.005383e-04 1.659170e-03 8.111496e-04 4.955387e-02
## [1206] 3.683357e-02 2.507190e-02 3.288843e-02 2.138485e-03 1.253595e-03
## [1211] 5.379397e-02 0.000000e+00 4.793157e-04 2.580931e-04 3.428951e-03
## [1216] 0.000000e+00 5.002223e-04 2.834593e-03 3.890618e-04 7.047577e-02
## [1221] 5.002223e-02 3.973988e-02 2.256558e-02 4.668742e-03 6.669631e-04
## [1226] 5.874833e-02 0.000000e+00 1.111605e-03 2.223210e-04 4.168519e-03
## [1231] 0.000000e+00 9.962565e-04 1.358532e-03 6.339814e-04 4.754861e-02
## [1236] 5.708852e-02 5.412994e-02 5.252989e-02 1.098901e-02 4.558628e-03
## [1241] 7.260597e-02 3.622751e-04 1.449100e-03 1.811375e-04 9.087067e-03
## [1246] 0.000000e+00 1.939595e-03 1.330008e-03 6.095871e-04 3.047936e-02
## [1251] 3.724023e-02 5.458576e-02 1.060127e-01 5.929620e-03 8.312552e-04
## [1256] 8.667221e-02 1.274591e-03 0.000000e+00 0.000000e+00 4.821280e-03
## [1261] 0.000000e+00 6.539420e-04 0.000000e+00 0.000000e+00 3.269710e-03
## [1266] 8.419504e-03 1.275187e-02 6.294192e-03 1.768505e-01 4.904565e-03
## [1271] 5.497200e-02 2.787428e-02 4.621327e-01 8.092533e-03 2.705685e-02
## [1276] 0.000000e+00 1.396177e-03 2.888643e-04 0.000000e+00 3.504887e-02
## [1281] 2.946416e-02 7.703048e-03 3.658948e-03 2.774541e-01 1.068798e-02
## [1286] 5.700255e-02 1.863175e-02 1.889172e-01 2.089452e-02 1.839103e-02
## [1291] 0.000000e+00 0.000000e+00 5.984440e-04 8.065985e-04 7.831811e-03
## [1296] 7.186532e-02 9.627143e-03 3.590664e-03 2.746078e-01 3.200375e-03
## [1301] 1.731585e-01 9.418989e-03 1.177113e-01 1.079801e-02 2.594125e-02
## [1306] 0.000000e+00 1.402446e-03 1.458544e-03 0.000000e+00 3.253674e-03
## [1311] 5.441490e-03 2.973185e-02 1.065859e-03 1.436105e-02 2.827331e-02
## [1316] 1.043420e-02 2.260743e-02 6.102883e-01 4.712218e-03 4.319533e-03
## [1321] 0.000000e+00 1.269573e-03 0.000000e+00 0.000000e+00 5.645366e-02
## [1326] 6.432501e-02 4.299619e-02 9.479475e-03 4.909014e-03 4.231909e-04
## [1331] 9.250952e-02 0.000000e+00 3.385527e-04 0.000000e+00 1.294964e-01
## [1336] 0.000000e+00 5.030181e-04 7.693218e-04 2.958930e-03 3.506332e-02
## [1341] 1.296011e-02 2.683750e-02 1.352231e-02 3.964966e-03 0.000000e+00
## [1346] 4.426559e-02 0.000000e+00 3.550716e-04 0.000000e+00 2.174814e-02
## [1351] 0.000000e+00 2.595963e-03 1.050053e-03 1.195893e-03 1.003384e-01
## [1356] 3.377669e-02 2.910979e-02 2.721386e-02 3.704352e-03 4.375219e-04
## [1361] 8.657100e-02 2.916813e-04 1.458406e-04 1.750088e-04 2.727220e-02
## [1366] 0.000000e+00 3.881234e-04 9.703086e-04 2.231710e-03 1.144964e-01
## [1371] 2.192897e-02 3.386377e-02 9.314962e-03 4.269358e-03 4.851543e-04
## [1376] 9.169416e-02 0.000000e+00 0.000000e+00 0.000000e+00 6.695129e-03
## [1381] 0.000000e+00 4.978905e-04 3.930715e-04 0.000000e+00 7.035979e-02
## [1386] 7.811640e-02 4.247792e-02 2.188098e-02 1.185504e-01 6.813239e-04
## [1391] 1.878882e-02 0.000000e+00 1.572286e-04 0.000000e+00 4.457430e-02
## [1396] 0.000000e+00 1.651664e-04 3.716244e-04 0.000000e+00 2.857379e-02
## [1401] 6.152449e-02 4.777438e-02 3.621273e-02 6.730531e-03 0.000000e+00
## [1406] 7.705013e-02 0.000000e+00 0.000000e+00 0.000000e+00 4.988025e-02
## [1411] 0.000000e+00 1.674321e-03 0.000000e+00 0.000000e+00 3.348641e-03
## [1416] 1.731726e-02 1.148106e-02 4.496747e-03 8.452928e-02 3.539992e-03
## [1421] 2.741102e-02 2.478951e-01 1.020379e-01 1.349024e-02 0.000000e+00
## [1426] 0.000000e+00 4.564239e-03 0.000000e+00 2.467156e-04 6.723000e-03
## [1431] 4.305187e-02 2.627521e-02 2.602850e-02 1.440819e-01 5.551101e-03
## [1436] 2.528835e-02 4.681428e-02 1.569728e-01 3.108617e-02 1.233578e-03
## [1441] 0.000000e+00 3.508237e-03 0.000000e+00 0.000000e+00 6.233476e-02
## [1446] 2.725239e-02 2.826927e-02 1.794794e-02 2.567623e-02 2.135448e-03
## [1451] 5.979256e-02 4.865772e-02 1.431767e-01 2.237136e-03 1.967663e-02
## [1456] 0.000000e+00 1.539320e-01 0.000000e+00 0.000000e+00 1.479042e-02
## [1461] 9.683541e-02 2.433443e-02 1.674387e-03 4.329966e-01 2.701345e-02
## [1466] 3.415750e-02 1.395323e-03 0.000000e+00 0.000000e+00 0.000000e+00
## [1471] 0.000000e+00 4.247872e-01 6.215932e-04 0.000000e+00 1.611361e-02
## [1476] 1.085397e-01 6.282873e-02 4.446782e-03 2.997992e-02 1.797839e-02
## [1481] 5.326575e-02 4.590227e-03 8.606675e-04 2.199484e-03 0.000000e+00
## [1486] 2.399637e-03 2.983332e-03 3.664310e-03 3.567028e-04 1.112264e-02
## [1491] 2.662300e-02 1.462481e-02 1.177119e-02 3.599455e-02 2.426552e-01
## [1496] 2.004021e-02 1.636293e-01 1.491666e-03 9.339127e-03 5.350542e-03
## [1501] 0.000000e+00 4.320821e-04 1.188226e-03 0.000000e+00 6.151769e-02
## [1506] 5.482042e-02 3.985957e-02 7.410208e-02 2.916554e-03 8.101539e-04
## [1511] 1.165001e-01 2.538482e-03 2.160410e-04 0.000000e+00 7.021334e-04
## [1516] 2.079002e-04 6.237006e-04 9.147609e-04 4.989605e-04 5.525988e-02
## [1521] 3.650728e-02 3.958420e-02 1.305613e-02 1.355509e-02 6.237006e-04
## [1526] 1.054470e-01 0.000000e+00 4.573805e-04 5.405405e-04 2.494802e-04
## [1531] 0.000000e+00 5.908070e-04 0.000000e+00 0.000000e+00 4.572847e-02
## [1536] 5.518138e-02 4.383788e-02 7.798653e-02 7.326007e-03 0.000000e+00
## [1541] 1.827957e-01 5.908070e-04 5.908070e-04 0.000000e+00 0.000000e+00
## [1546] 0.000000e+00 7.403386e-04 0.000000e+00 0.000000e+00 1.673165e-02
## [1551] 3.301910e-02 4.940526e-02 9.283846e-02 1.441192e-02 2.911998e-03
## [1556] 9.866245e-02 8.390504e-04 0.000000e+00 0.000000e+00 0.000000e+00
## [1561] 0.000000e+00 1.372621e-03 0.000000e+00 0.000000e+00 1.354319e-02
## [1566] 1.584004e-01 2.122987e-02 1.871340e-02 2.310578e-02 8.510249e-03
## [1571] 2.357247e-01 7.320644e-03 0.000000e+00 2.745242e-04 2.882504e-03
## [1576] 0.000000e+00 0.000000e+00 1.544306e-04 1.544306e-04 2.656207e-02
## [1581] 3.548507e-01 2.053927e-02 1.636965e-03 0.000000e+00 1.111900e-03
## [1586] 1.769775e-02 3.706335e-04 0.000000e+00 0.000000e+00 1.221546e-01
## [1591] 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 3.410306e-02
## [1596] 1.446084e-01 3.559974e-02 1.375526e-02 0.000000e+00 0.000000e+00
## [1601] 2.045471e-02 0.000000e+00 0.000000e+00 0.000000e+00 9.475447e-02
## [1606] 0.000000e+00 3.227815e-04 1.406405e-03 0.000000e+00 2.307887e-02
## [1611] 1.553270e-01 5.028474e-02 5.510341e-03 9.222327e-05 7.608420e-04
## [1616] 2.616835e-02 4.611164e-04 0.000000e+00 0.000000e+00 9.222327e-02
## [1621] 0.000000e+00 2.320589e-04 6.381621e-04 0.000000e+00 1.055868e-02
## [1626] 1.048326e-01 2.651273e-02 4.066833e-02 2.320589e-04 1.218309e-03
## [1631] 3.666531e-02 5.453385e-03 0.000000e+00 0.000000e+00 1.324476e-01
## [1636] 0.000000e+00 0.000000e+00 1.943918e-04 1.133952e-04 3.084350e-02
## [1641] 1.088270e-01 6.265896e-02 1.292705e-02 0.000000e+00 1.133952e-04
## [1646] 1.381802e-02 0.000000e+00 2.591891e-04 0.000000e+00 1.323484e-01
## [1651] 0.000000e+00 7.928867e-04 7.362519e-04 0.000000e+00 3.256499e-02
## [1656] 1.640709e-01 4.411848e-02 4.887580e-02 5.097129e-04 1.076060e-03
## [1661] 1.466840e-02 4.870590e-03 0.000000e+00 0.000000e+00 1.251628e-01
## [1666] 0.000000e+00 5.878767e-04 5.443303e-04 0.000000e+00 2.233931e-02
## [1671] 2.104163e-01 2.286187e-02 1.267201e-02 2.830517e-04 1.545898e-03
## [1676] 1.378244e-02 5.443303e-03 0.000000e+00 0.000000e+00 1.708762e-01
## [1681] 0.000000e+00 0.000000e+00 8.292905e-04 0.000000e+00 3.416677e-02
## [1686] 1.069785e-01 1.226106e-01 1.384915e-02 0.000000e+00 5.390389e-04
## [1691] 1.513455e-02 0.000000e+00 0.000000e+00 0.000000e+00 9.984658e-02
## [1696] 0.000000e+00 1.891985e-04 1.341589e-03 4.299966e-04 9.752322e-03
## [1701] 9.418645e-02 2.793258e-02 2.923977e-03 1.737186e-03 1.031992e-04
## [1706] 2.729618e-02 6.879945e-05 8.599931e-05 2.235982e-04 1.187650e-01
## [1711] 7.008622e-02 5.371501e-02 9.178533e-02 1.091737e-01 6.780975e-04
## [1716] 1.453066e-03 7.817495e-02 0.000000e+00 0.000000e+00 1.259324e-03
## [1721] 4.843553e-04 0.000000e+00 0.000000e+00 0.000000e+00 2.906132e-04
## [1726] 5.635918e-02 6.847190e-02 1.037589e-01 1.651234e-01 5.505781e-04
## [1731] 9.009460e-04 4.669903e-02 0.000000e+00 0.000000e+00 2.002102e-04
## [1736] 5.005256e-04 0.000000e+00 0.000000e+00 2.502628e-04 0.000000e+00
## [1741] 7.782226e-02 5.732586e-02 7.333867e-02 8.887110e-02 0.000000e+00
## [1746] 2.642114e-03 1.446757e-01 0.000000e+00 0.000000e+00 6.405124e-04
## [1751] 3.202562e-04 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1756] 4.836436e-02 7.145288e-02 8.272979e-02 1.995820e-01 5.832888e-04
## [1761] 4.034414e-03 5.619015e-02 0.000000e+00 2.916444e-04 4.860740e-04
## [1766] 6.173140e-03 0.000000e+00 0.000000e+00 0.000000e+00 1.555437e-03
## [1771] 5.266752e-02 6.316688e-02 1.199317e-01 1.349552e-01 0.000000e+00
## [1776] 6.828852e-04 1.660265e-01 0.000000e+00 0.000000e+00 0.000000e+00
## [1781] 4.268032e-04 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1786] 3.700583e-02 3.286286e-02 6.972825e-02 5.722913e-02 2.808792e-04
## [1791] 0.000000e+00 2.534232e-01 0.000000e+00 4.915385e-04 7.021979e-04
## [1796] 1.615055e-03 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1801] 6.649889e-02 5.943278e-02 1.195431e-01 9.224664e-02 6.775724e-04
## [1806] 2.032717e-03 1.552609e-01 4.839803e-04 0.000000e+00 0.000000e+00
## [1811] 8.711645e-04 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1816] 4.025012e-02 2.902776e-02 1.621007e-01 4.707155e-02 1.430300e-03
## [1821] 1.778707e-03 1.132871e-01 1.466975e-04 1.466975e-04 0.000000e+00
## [1826] 9.718708e-04 0.000000e+00 1.466975e-04 0.000000e+00 3.777460e-03
## [1831] 4.963643e-02 2.349790e-02 1.012629e-01 2.537313e-02 1.033295e-03
## [1836] 9.567547e-04 9.950249e-02 0.000000e+00 8.802143e-04 1.530808e-04
## [1841] 2.449292e-03 0.000000e+00 0.000000e+00 0.000000e+00 1.561424e-02
## [1846] 4.929510e-02 2.562638e-02 1.746809e-01 3.961554e-02 1.509034e-03
## [1851] 1.359490e-03 8.825809e-02 8.428838e-04 0.000000e+00 0.000000e+00
## [1856] 0.000000e+00 0.000000e+00 1.359490e-04 0.000000e+00 8.020991e-04
## [1861] 4.238473e-02 5.537038e-02 1.083224e-01 1.327060e-01 1.261763e-04
## [1866] 9.778666e-04 1.058830e-01 3.469849e-04 3.680143e-04 3.154408e-04
## [1871] 7.149992e-04 0.000000e+00 0.000000e+00 1.156616e-04 5.677935e-04
## [1876] 4.639356e-02 3.493087e-02 7.829113e-02 8.094128e-02 0.000000e+00
## [1881] 6.066605e-04 1.410326e-01 0.000000e+00 5.428015e-04 8.940260e-04
## [1886] 7.343785e-04 0.000000e+00 0.000000e+00 0.000000e+00 4.789425e-04
## [1891] 8.715896e-02 8.089291e-02 4.181715e-02 6.714242e-02 3.481137e-04
## [1896] 2.828423e-03 5.726470e-02 0.000000e+00 2.610852e-04 1.740568e-04
## [1901] 1.566511e-03 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1906] 7.014289e-02 5.407752e-02 3.402542e-02 8.305045e-02 3.947265e-04
## [1911] 2.881503e-03 2.992027e-02 0.000000e+00 0.000000e+00 3.157812e-04
## [1916] 9.473435e-04 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1921] 8.004522e-02 7.131148e-02 3.414358e-02 8.145845e-02 5.935557e-04
## [1926] 3.193895e-03 5.551159e-02 1.130582e-04 4.522329e-04 3.109101e-04
## [1931] 1.215376e-03 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [1936] 6.725265e-02 8.737640e-02 2.908691e-02 8.575724e-02 7.517493e-04
## [1941] 3.006997e-03 5.967733e-02 0.000000e+00 2.139594e-03 3.469612e-04
## [1946] 1.272191e-03 2.313075e-04 0.000000e+00 0.000000e+00 0.000000e+00
## [1951] 7.137918e-02 8.055903e-02 2.787790e-02 5.137183e-02 9.121000e-04
## [1956] 3.795513e-03 7.596911e-02 1.618242e-04 2.103715e-03 1.515263e-03
## [1961] 2.089003e-03 1.618242e-04 5.884516e-05 2.353807e-04 5.884516e-05
## [1966] 9.098369e-02 9.131191e-02 3.800834e-02 6.925526e-02 4.266912e-04
## [1971] 6.269078e-03 5.287688e-02 0.000000e+00 9.518495e-04 2.297568e-04
## [1976] 4.266912e-03 0.000000e+00 0.000000e+00 0.000000e+00 9.518495e-04
## [1981] 6.560430e-02 1.952263e-02 6.077539e-02 3.949365e-02 1.241722e-03
## [1986] 3.897627e-03 4.473648e-02 1.172737e-03 9.312914e-04 0.000000e+00
## [1991] 1.103753e-03 0.000000e+00 0.000000e+00 0.000000e+00 6.208609e-04
## [1996] 3.449282e-02 2.433757e-02 3.355901e-02 3.256683e-02 2.918174e-04
## [2001] 1.925995e-03 6.752656e-02 0.000000e+00 3.501809e-04 2.334540e-04
## [2006] 2.101086e-03 0.000000e+00 3.501809e-04 0.000000e+00 1.050543e-03
## [2011] 9.669112e-02 4.136682e-02 7.752458e-02 5.289027e-02 2.151827e-03
## [2016] 7.701895e-03 4.090824e-02 1.058276e-03 3.880344e-04 2.469310e-04
## [2021] 1.575655e-03 2.939655e-04 0.000000e+00 1.646207e-04 1.881379e-04
## [2026] 1.281413e-01 3.982735e-02 1.070310e-01 5.629883e-02 4.504444e-03
## [2031] 9.103011e-03 3.680198e-02 3.536325e-03 7.260895e-04 4.033830e-04
## [2036] 1.976577e-03 2.823681e-04 0.000000e+00 1.075688e-04 3.764908e-04
## [2041] 1.052812e-01 4.093507e-02 1.121265e-01 6.852175e-02 4.415238e-03
## [2046] 7.290276e-03 3.877879e-02 1.574426e-03 5.476264e-04 0.000000e+00
## [2051] 1.471746e-03 0.000000e+00 0.000000e+00 1.369066e-04 0.000000e+00
## [2056] 9.886209e-02 1.381311e-02 5.545526e-02 4.594227e-02 5.760532e-03
## [2061] 1.407679e-02 1.797124e-02 4.462384e-04 1.622685e-04 3.042535e-04
## [2066] 6.977546e-03 6.085069e-04 0.000000e+00 1.217014e-04 0.000000e+00
## [2071] 7.439798e-02 2.718946e-02 5.558088e-02 6.262693e-02 3.108551e-03
## [2076] 8.123679e-03 4.339537e-02 7.874995e-04 1.409210e-03 8.289468e-04
## [2081] 1.119078e-03 0.000000e+00 0.000000e+00 2.072367e-04 2.486840e-04
## [2086] 4.817964e-02 3.102972e-02 4.636291e-02 9.367052e-02 2.180074e-03
## [2091] 1.075503e-02 9.795800e-02 3.633457e-04 2.906765e-04 7.266914e-04
## [2096] 3.124773e-03 0.000000e+00 0.000000e+00 0.000000e+00 7.266914e-04
## [2101] 8.163207e-02 4.119882e-02 5.656686e-02 6.748327e-02 1.275944e-03
## [2106] 7.003516e-03 8.381536e-02 0.000000e+00 4.253147e-04 8.789838e-04
## [2111] 2.296700e-03 1.134173e-04 0.000000e+00 1.984802e-04 4.536690e-04
## [2116] 9.102289e-02 3.458512e-02 9.206009e-02 8.040057e-02 1.072961e-03
## [2121] 3.791130e-03 4.163090e-02 0.000000e+00 0.000000e+00 0.000000e+00
## [2126] 1.537911e-03 6.437768e-04 0.000000e+00 2.145923e-04 1.680973e-03
## [2131] 7.650339e-02 4.742008e-02 6.169871e-02 8.239520e-02 4.193408e-03
## [2136] 1.334676e-02 5.691912e-02 1.052109e-04 1.367742e-03 1.052109e-04
## [2141] 3.081178e-03 1.803616e-04 7.515068e-05 2.254520e-04 3.006027e-04
## [2146] 7.757679e-02 5.279400e-02 8.787922e-02 9.837155e-02 2.516261e-03
## [2151] 1.153682e-02 5.284148e-02 0.000000e+00 2.848597e-04 3.323363e-04
## [2156] 6.456820e-03 2.373831e-04 0.000000e+00 0.000000e+00 1.661682e-03
## [2161] 7.756554e-02 2.517530e-02 4.927869e-02 6.339234e-02 2.039631e-03
## [2166] 3.468862e-03 4.886183e-02 1.771651e-03 4.168590e-04 2.977564e-04
## [2171] 1.994968e-03 8.932692e-05 0.000000e+00 1.191026e-04 6.104006e-04
## [2176] 6.030879e-02 1.616345e-02 5.014145e-02 8.331805e-02 1.197293e-03
## [2181] 2.761497e-03 5.318296e-02 3.862234e-04 7.338245e-04 3.476011e-04
## [2186] 2.133884e-03 1.351782e-04 0.000000e+00 8.690027e-05 6.565798e-04
## [2191] 5.202717e-02 5.186252e-02 5.326199e-02 1.115867e-01 2.963573e-03
## [2196] 4.939288e-03 8.121013e-02 5.885985e-03 1.481786e-03 1.646429e-04
## [2201] 2.675448e-03 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00
## [2206] 7.936374e-02 5.664030e-02 8.786400e-02 1.176570e-01 2.608988e-03
## [2211] 9.678505e-03 4.654099e-02 3.366437e-04 0.000000e+00 8.416092e-04
## [2216] 9.426023e-03 0.000000e+00 0.000000e+00 0.000000e+00 1.935701e-03
## [2221] 4.697200e-02 2.092468e-02 2.292164e-02 5.035815e-02 1.458650e-02
## [2226] 1.419579e-02 9.342305e-02 1.415238e-02 6.989364e-03 1.215542e-03
## [2231] 1.975255e-02 1.736488e-04 9.984806e-04 1.041893e-03 8.682440e-04
## [2236] 5.416478e-01 5.302503e-01 5.143989e-01 2.960190e-01 5.114324e-01
## [2241] 4.011679e-01 5.511148e-01 6.116001e-01 5.879770e-01 5.699077e-01
## [2246] 6.307963e-01 5.850985e-01 4.142786e-01 5.423342e-01 5.845656e-01
## [2251] 2.466405e-01 4.687474e-01 2.778176e-01 2.523225e-01 3.866625e-01
## [2256] 3.208959e-01 1.463034e-01 6.023522e-01 4.848586e-01 6.026325e-01
## [2261] 3.466451e-01 4.955733e-01 5.740210e-01 5.100161e-01 6.634094e-01
## [2266] 6.260574e-01 5.024889e-01 4.431644e-01 4.495186e-01 6.180158e-01
## [2271] 5.598283e-01 7.109864e-01 2.507532e-01 1.943574e-01 1.405985e-01
## [2276] 4.838036e-01 5.417191e-01 8.227821e-01 8.231488e-01 7.733392e-01
## [2281] 5.824601e-01 6.150202e-01 7.437008e-01 7.548036e-01 2.343026e-01
## [2286] 6.230306e-02 2.350913e-01 4.718890e-01 5.569126e-01 7.519612e-01
## [2291] 6.681839e-01 8.151271e-01 7.555046e-01 5.465133e-01 7.286164e-01
## [2296] 3.783965e-01 4.686934e-01 5.112275e-01 3.408583e-01 4.944075e-01
## [2301] 3.902806e-01 7.153057e-01 6.700190e-01 7.494587e-01 7.191606e-01
## [2306] 6.178213e-01 5.172851e-01 4.475631e-01 2.492114e-01 4.078463e-01
## [2311] 4.902829e-01 4.805770e-01 5.248625e-01 7.068749e-01 6.763554e-01
## [2316] 7.907971e-01 7.438862e-01 6.864811e-01 6.682738e-01 2.067274e-01
## [2321] 3.304607e-01 2.908438e-01 2.626501e-01 5.977994e-01 8.370517e-01
## [2326] 6.861218e-01 7.136619e-01 6.035219e-01 6.917169e-01 4.827784e-01
## [2331] 4.820823e-01 5.593350e-01 2.128705e-01 2.737879e-01 4.479538e-01
## [2336] 6.443964e-01 7.324740e-01 5.853716e-01 6.904398e-01 5.089220e-01
## [2341] 4.547673e-01 6.567244e-01 6.443640e-01 6.405407e-01 6.378967e-01
## [2346] 5.625531e-01 5.386474e-01 6.060455e-01 7.149639e-01 5.928994e-01
## [2351] 5.571850e-01 5.543635e-01 5.285568e-01 4.621426e-01 5.466610e-01
## [2356] 5.029523e-01 5.998643e-01 6.796403e-01 6.178746e-01 5.518006e-01
## [2361] 6.151537e-01 6.605457e-01 7.242441e-01 6.716507e-01 6.631007e-01
## [2366] 6.817506e-01 6.444678e-01 7.608996e-01 8.012140e-01 6.768496e-01
## [2371] 6.108833e-01 6.189205e-01 7.394982e-01 7.209765e-01 6.646319e-01
## [2376] 6.566576e-01 6.513591e-01 6.520824e-01 6.075108e-01 7.249177e-01
## [2381] 7.284463e-01 6.319407e-01 5.871065e-01 6.914261e-01
# you see all the observations with list()