Runs slmfit, predict, and FPBKoutput for each stratum in a user-specified stratification variable. Note: if fitting the spatial model separately for each stratum, then stratum cannot be included as a covariate in the formula argument.

multistrat(formula, data, xcoordcol, ycoordcol, CorModel = "Exponential",
  coordtype = "TM", estmethod = "REML", covestimates = c(NA, NA, NA),
  detectionobj = NULL, detinfo = c(1, 0), areacol = NULL,
  FPBKcol = NULL, stratcol = NULL)

Arguments

formula

is an R linear model formula specifying density as the response variable as well as covariates for predicting densities on the unsampled sites.

data

is the data set with the response column of densities, the covariates to be used for the block kriging, and the spatial coordinates for all of the sites.

xcoordcol

is the name of the column in the data frame with x coordinates or longitudinal coordinates

ycoordcol

is the name of the column in the data frame with y coordinates or latitudinal coordinates

CorModel

is the covariance structure. By default, CorModel is Exponential but other options include the Spherical and Gaussian.

coordtype

specifies whether spatial coordinates are in latitude, longitude (LatLon) form or UTM (UTM) form.

estmethod

is either the default "REML" for restricted maximum likelihood to estimate the covariance parameters and regression coefficients or "ML" to estimate the covariance parameters and regression coefficients.

covestimates

is an optional vector of covariance parameter estimates (nugget, partial sill, range). If these are given and estmethod = "None", the the provided vector are treated as the estimators to create the covariance structure.

detectionobj

is a fitted model obj from get_detection. The default is for this object to be NULL, resulting in spatial prediction that assumes perfect detection.

detinfo

is a vector consisting of the mean detection probability and its standard error. By default, it is set to c(1, 0), indicating perfect detection (1) with no variance (0). Using the default assumes perfect detection.

areacol

is the name of the column with the areas of the sites. By default, we assume that all sites have equal area, in which case a vector of 1's is used as the areas.

FPBKcol

is the name of the column with the prediction weights if the analyst would like to predict something other than the population total, like the total for a subset of the entire region of interest.

stratcol

is the column in the data set that contains the stratification variable.

Value

Information about the predicted total across all sites as well as variogram information for each stratum in the column stratcol. Output is in similar structure to FPBKoutput but with multiple strata.

Examples

multistrat(formula = Moose ~ CountPred, data = vignettecount, xcoordcol = "Xcoords", ycoordcol = "Ycoords", areacol = "Area", stratcol = "Stratum")
#> Prediction SE(Prediction) #> [1,] 1079.465 82.63117 #> Lower Bound Upper Bound Proportion of Mean #> 80 % 974 1185 0.10 #> 90 % 944 1215 0.13 #> 95 % 918 1241 0.15 #> Numb. Sites Sampled Total Numb. Sites Animals Counted Total Area #> [1,] 60 127 501 254 #> Area Sampled #> [1,] 120
#> Prediction SE(Prediction) #> [1,] 3457.91 274.1211 #> Lower Bound Upper Bound Proportion of Mean #> 80 % 3107 3809 0.10 #> 90 % 3007 3909 0.13 #> 95 % 2921 3995 0.16 #> Numb. Sites Sampled Total Numb. Sites Animals Counted Total Area #> [1,] 40 273 510 546 #> Area Sampled #> [1,] 80
#> Prediction SE(Prediction) #> [1,] 4537.376 286.3046 #> Lower Bound Upper Bound Proportion of Mean #> 80 % 4170 4904 0.08 #> 90 % 4066 5008 0.10 #> 95 % 3976 5099 0.12 #> Numb. Sites Sampled Total Numb. Sites Animals Counted Total Area #> [1,] 100 400 1011 800 #> Area Sampled #> [1,] 200
#> $basic #> Prediction SE(Prediction) #> High 1079.47 82.63 #> Low 3457.91 274.12 #> Total 4537.38 286.30 #> #> $conf #> Lower Bound Upper Bound Proportion of Mean #> High 80 % "974" "1185" "0.1" #> High 90 % "944" "1215" "0.13" #> High 95 % "918" "1241" "0.15" #> "." "." "." #> Low 80 % "3107" "3809" "0.1" #> Low 90 % "3007" "3909" "0.13" #> Low 95 % "2921" "3995" "0.16" #> "." "." "." #> Total "4170" "4904" "0.08" #> Total "4066" "5008" "0.1" #> Total "3976" "5099" "0.12" #> #> $suminfo #> Numb. Sites Sampled Total Numb. Sites Animals Counted Total Area #> High 60 127 501 254 #> Low 40 273 510 546 #> Total 100 400 1011 800 #> Area Sampled #> High 120 #> Low 80 #> Total 200 #> #> $varplot #> $varplot[[1]]
#> #> $varplot[[2]]
#> #> #> $covparms #> Nugget Partial Sill Range #> High 10.834 87333.33 45585.08 #> Low 11.700 31842.10 154202.51 #> #> $varplottab #> Distance Gamma Number of Pairs #> High "0.05" "8.54" "17" #> High "0.07" "7.19" "11" #> High "0.11" "11.49" "51" #> High "0.15" "8.71" "13" #> High "0.16" "10.8" "53" #> High "0.2" "9.9" "37" #> High "0.23" "10.34" "61" #> High "0.27" "13.11" "66" #> High "0.29" "13.38" "34" #> High "0.32" "11.23" "85" #> High "0.34" "10.12" "45" #> High "0.38" "10.66" "95" #> High "0.42" "12.5" "92" #> High "0.45" "14.33" "64" #> "." "." "." #> "." "." "." #> Low "0.05" "7.37" "12" #> Low "0.07" "8.95" "7" #> Low "0.11" "5.44" "19" #> Low "0.15" "0.68" "5" #> Low "0.16" "23.77" "24" #> Low "0.21" "5.29" "25" #> Low "0.23" "13.31" "18" #> Low "0.27" "8.65" "26" #> Low "0.3" "9.82" "32" #> Low "0.33" "18.97" "35" #> Low "0.36" "18.15" "26" #> Low "0.39" "15.69" "25" #> Low "0.42" "11.14" "51" #> Low "0.46" "9.88" "31" #> #> $krigmap
#> #> $predvals #> X Xcoords Ycoords Moose CountPred DetPred1 DetPred2 #> 6 48 0.36842105 0.10526316 NA 3.08635312 0.46235873 -1.1950225234 #> 8 368 0.36842105 0.94736842 NA 1.58810296 0.20090028 0.4542344380 #> 14 317 0.84210526 0.78947368 11 2.83450981 0.92954268 -1.7720576664 #> 19 216 0.78947368 0.52631579 17 4.63418630 0.27273400 -0.0710094990 #> 20 301 0.00000000 0.78947368 10 3.17165844 0.70972207 1.6210265737 #> 21 340 1.00000000 0.84210526 NA 4.92623192 0.15861741 1.8348135576 #> 22 330 0.47368421 0.84210526 13 1.16902329 0.73017027 0.6015061103 #> 23 229 0.42105263 0.57894737 7 4.86427271 0.55086872 0.0009913025 #> 24 289 0.42105263 0.73684211 9 0.68298067 0.37678137 -0.8190259878 #> 27 257 0.84210526 0.63157895 NA 2.40378155 0.27752644 -0.7747700037 #> 30 168 0.36842105 0.42105263 2 2.38121532 0.59300741 0.6599907782 #> 33 197 0.84210526 0.47368421 NA 4.35270231 0.25353624 -0.4183862414 #> 42 119 0.94736842 0.26315789 1 5.36795789 0.86801627 -1.3128050165 #> 43 299 0.94736842 0.73684211 0 2.58145419 0.67136630 -0.8471631911 #> 44 304 0.15789474 0.78947368 11 6.75521181 0.73429791 0.4160162704 #> 45 205 0.21052632 0.52631579 NA 10.10165808 0.06463467 -0.1242772173 #> 47 109 0.42105263 0.26315789 NA 7.97541430 0.16936306 -0.1589420838 #> 50 295 0.73684211 0.73684211 NA 2.47993942 0.01454846 1.1840550220 #> 56 382 0.05263158 1.00000000 NA 8.45999523 0.59671978 -1.7445447994 #> 58 9 0.42105263 0.00000000 NA 2.32185966 0.73079923 1.2255540472 #> 59 310 0.47368421 0.78947368 NA 2.34831791 0.55445539 -1.2763147168 #> 60 224 0.15789474 0.57894737 5 0.13594680 0.59595467 1.3604074074 #> 61 31 0.52631579 0.05263158 6 3.88515658 0.72307370 -1.2695036624 #> 65 270 0.47368421 0.68421053 NA 5.34291918 0.59199898 0.8555579586 #> 67 213 0.63157895 0.52631579 14 6.04019765 0.25283632 0.4141325364 #> 77 309 0.42105263 0.78947368 15 5.78880638 0.47187371 0.8837526347 #> 81 3 0.10526316 0.00000000 21 7.58024033 0.75286507 0.5298327608 #> 82 258 0.89473684 0.63157895 0 4.36108540 0.11774123 1.0680782767 #> 84 370 0.47368421 0.94736842 7 4.82960733 0.68427086 0.3111402364 #> 87 117 0.84210526 0.26315789 0 3.77937617 0.94907099 0.6197022032 #> 92 200 1.00000000 0.47368421 NA 3.09143205 0.66973070 -0.1733638011 #> 100 194 0.68421053 0.47368421 NA 4.70566258 0.32312584 -0.3707835795 #> 109 123 0.10526316 0.31578947 NA 6.56502706 0.04767102 0.3105348768 #> 110 148 0.36842105 0.36842105 NA 0.81698632 0.08117874 -0.7173205046 #> 111 57 0.84210526 0.10526316 NA 3.52387725 0.78143115 -0.5410308531 #> 113 97 0.84210526 0.21052632 10 3.17979519 0.84759848 1.1369856000 #> 118 167 0.31578947 0.42105263 0 7.31466340 0.83113296 -1.4602097739 #> 120 373 0.63157895 0.94736842 NA 4.33387697 0.08333650 1.5525492840 #> 124 188 0.36842105 0.47368421 0 2.04449958 0.54016482 -1.0242791846 #> 130 263 0.10526316 0.68421053 8 1.86716695 0.60022649 1.5651439158 #> 134 111 0.52631579 0.26315789 NA 0.09878971 0.12338938 1.0251631066 #> 135 43 0.10526316 0.10526316 NA 1.65319756 0.33331629 1.1638960736 #> 138 362 0.05263158 0.94736842 0 4.09430965 0.01004257 0.0674964357 #> 139 398 0.89473684 1.00000000 0 3.39478125 0.23191777 -0.6640587840 #> 143 54 0.68421053 0.10526316 NA 5.03708745 0.68058229 1.7206998095 #> 149 59 0.94736842 0.10526316 NA 4.77869900 0.56115796 -0.2543285498 #> 150 339 0.94736842 0.84210526 10 2.46091649 0.77125276 0.2753738156 #> 152 8 0.36842105 0.00000000 NA 4.07002633 0.58111901 1.9615170183 #> 155 384 0.15789474 1.00000000 NA 2.76766658 0.35539944 1.4579203473 #> 157 68 0.36842105 0.15789474 17 7.88597310 0.67435963 -0.4449955886 #> 158 327 0.31578947 0.84210526 14 7.57973195 0.28602136 -0.4398866780 #> 159 363 0.10526316 0.94736842 0 9.88174736 0.66999249 1.4424186442 #> 164 27 0.31578947 0.05263158 NA 1.76528681 0.72174852 -1.2493617954 #> 172 69 0.42105263 0.15789474 12 4.12522017 0.24195263 0.7931130128 #> 178 32 0.57894737 0.05263158 NA 5.01200302 0.94302454 0.0680999989 #> 183 133 0.63157895 0.31578947 NA 3.99334909 0.08751840 0.1593598267 #> 188 371 0.52631579 0.94736842 NA 2.51753945 0.43254175 -0.4329252653 #> 195 245 0.21052632 0.63157895 NA 4.50538099 0.67592671 1.0266157426 #> 196 115 0.73684211 0.26315789 4 4.31412266 0.58141753 -0.0355929350 #> 199 195 0.73684211 0.47368421 NA 8.45648195 0.64642389 -0.0383773679 #> 203 255 0.73684211 0.63157895 NA 4.60502394 0.27815778 1.6928120516 #> 207 171 0.52631579 0.42105263 13 1.61629854 0.14952428 0.8398508048 #> 208 38 0.89473684 0.05263158 NA 3.99550568 0.23429956 1.5795607651 #> 209 356 0.78947368 0.89473684 6 5.44934723 0.56077421 1.9330218844 #> 213 272 0.57894737 0.68421053 0 7.69102194 0.63244985 -1.1146030175 #> 216 169 0.42105263 0.42105263 NA 4.13292576 0.35864379 -1.9996075742 #> 225 82 0.05263158 0.21052632 NA 5.59172766 0.41375390 -0.0052475724 #> 226 74 0.68421053 0.15789474 0 5.79731225 0.08918132 1.6256007478 #> 228 157 0.84210526 0.36842105 5 5.68215168 0.96062776 -1.8888802072 #> 229 341 0.00000000 0.89473684 14 3.70955594 0.90220903 -1.4653028296 #> 231 253 0.63157895 0.63157895 NA 3.60012335 0.73961638 -0.5815435965 #> 234 66 0.26315789 0.15789474 NA 6.20650360 0.24622063 -1.4849370364 #> 235 266 0.26315789 0.68421053 NA 4.16204018 0.51348867 1.6139162248 #> 237 51 0.52631579 0.10526316 NA 4.37714178 0.19989817 0.6857145755 #> 246 246 0.26315789 0.63157895 4 1.64411848 0.12510678 0.0745753543 #> 247 190 0.47368421 0.47368421 25 7.17288649 0.29319951 1.6657840181 #> 251 153 0.63157895 0.36842105 1 6.99273686 0.94316569 0.4682687353 #> 255 319 0.94736842 0.78947368 NA 3.57714760 0.28708475 1.9489191351 #> 257 17 0.84210526 0.00000000 NA 4.46460918 0.44000646 -1.7458616747 #> 258 321 0.00000000 0.84210526 NA 2.10474922 0.87572168 -1.0731099593 #> 265 335 0.73684211 0.84210526 8 3.72538205 0.65817264 1.1137739504 #> 266 256 0.78947368 0.63157895 NA 1.45548495 0.08927840 -1.1275871629 #> 267 185 0.21052632 0.47368421 4 1.79230691 0.80466115 0.5285687149 #> 269 166 0.26315789 0.42105263 NA 2.81790950 0.46367397 1.5858305404 #> 271 146 0.26315789 0.36842105 NA 4.20318064 0.71529509 0.7861544443 #> 275 226 0.26315789 0.57894737 18 8.80558589 0.39411482 0.9379279204 #> 282 386 0.26315789 1.00000000 18 5.06156504 0.59152523 1.4890607083 #> 286 211 0.52631579 0.52631579 NA 5.43002813 0.49388450 1.0667206449 #> 288 242 0.05263158 0.63157895 4 4.62146681 0.38531996 -1.3220890351 #> 304 65 0.21052632 0.15789474 NA 0.87676683 0.13282944 -1.4597441619 #> 308 201 0.00000000 0.52631579 17 3.10120686 0.61431031 1.4744989546 #> 311 311 0.52631579 0.78947368 NA 2.30471504 0.19007916 -1.7614614181 #> 313 193 0.63157895 0.47368421 18 5.39038037 0.13528872 0.6126615396 #> 314 83 0.10526316 0.21052632 21 2.07679011 0.14416586 1.4968517590 #> 315 118 0.89473684 0.26315789 13 1.21672915 0.85511759 0.3308372051 #> 322 249 0.42105263 0.63157895 NA 5.02165181 0.75290197 1.2599580865 #> 324 244 0.15789474 0.63157895 21 1.81973178 0.38036537 -0.0982771860 #> 326 350 0.47368421 0.89473684 9 2.26831304 0.50751963 0.8794598076 #> 330 44 0.15789474 0.10526316 NA 0.51512406 0.91883806 1.7048887229 #> 333 172 0.57894737 0.42105263 NA 4.00119615 0.65242375 0.5981447995 #> 335 264 0.15789474 0.68421053 NA 4.33317065 0.68661537 0.9350757590 #> 336 94 0.68421053 0.21052632 7 1.99819029 0.79784299 -1.7625118727 #> 339 124 0.15789474 0.31578947 NA 4.51210158 0.80234521 -0.5799714280 #> 343 303 0.10526316 0.78947368 NA 6.82280090 0.38286080 0.6263865968 #> 346 4 0.15789474 0.00000000 NA 6.60855558 0.55542000 1.4603537470 #> 353 152 0.57894737 0.36842105 NA 2.86636241 0.56972282 1.0203174585 #> 354 108 0.36842105 0.26315789 NA 4.56492796 0.70686167 1.8933009934 #> 359 19 0.94736842 0.00000000 5 3.39456985 0.89246111 0.9102650601 #> 362 173 0.63157895 0.42105263 NA 4.66114436 0.22186270 1.9296619156 #> 365 397 0.84210526 1.00000000 0 5.96690015 0.67034003 0.8036440127 #> 369 163 0.10526316 0.42105263 NA 5.81108454 0.48241457 -0.1529854564 #> 370 39 0.94736842 0.05263158 NA 4.69420932 0.58096193 -1.6879038243 #> 371 332 0.57894737 0.84210526 15 3.41237335 0.92139199 0.7006310700 #> 376 396 0.78947368 1.00000000 9 4.52654289 0.34860907 1.4775139680 #> 380 120 1.00000000 0.26315789 NA 2.13516474 0.03364424 0.3998114569 #> 381 235 0.73684211 0.57894737 8 0.23666045 0.30863926 0.8551307032 #> 382 305 0.21052632 0.78947368 NA 6.65107364 0.49976196 0.2962468863 #> 383 261 0.00000000 0.68421053 NA 3.61013369 0.62398298 0.9819750153 #> 384 151 0.52631579 0.36842105 NA 1.29376061 0.62874736 0.3235834418 #> 386 62 0.05263158 0.15789474 NA 4.08884948 0.38955206 -0.6278256429 #> 388 366 0.26315789 0.94736842 10 0.81110602 0.46350178 -0.5472455183 #> 389 121 0.00000000 0.31578947 NA 0.10029210 0.76013847 -1.8884120621 #> 391 58 0.89473684 0.10526316 1 3.12861896 0.09879491 1.9068356315 #> 393 232 0.57894737 0.57894737 NA 3.00436985 0.14470398 0.3592604920 #> 396 176 0.78947368 0.42105263 NA 4.18696508 0.36404587 -0.6018147282 #> 397 79 0.94736842 0.15789474 3 2.94564654 0.41616979 1.0885491287 #> 400 161 0.00000000 0.42105263 0 6.72532756 0.40071071 -0.7748013232 #> 1 127 0.31578947 0.31578947 9 4.30213756 0.04217995 -0.7164406748 #> 2 76 0.78947368 0.15789474 23 1.90107998 0.92365621 1.6464221179 #> 3 78 0.89473684 0.15789474 NA 2.50718012 0.25611300 -0.0964677390 #> 4 20 1.00000000 0.00000000 NA 2.52138168 0.35241291 -1.8202738203 #> 5 219 0.94736842 0.52631579 0 3.69266988 0.06458319 0.8484420832 #> 7 96 0.78947368 0.21052632 NA 0.23223117 0.14338167 -0.6006349688 #> 9 85 0.21052632 0.21052632 NA 3.54548631 0.66674425 -1.9088625284 #> 10 37 0.84210526 0.05263158 NA 0.03662755 0.48954789 0.3171311654 #> 11 320 1.00000000 0.78947368 NA 1.92926925 0.98241091 -1.5270413291 #> 12 24 0.15789474 0.05263158 NA 8.06208404 0.80240176 -1.6430239677 #> 13 207 0.31578947 0.52631579 NA 6.51934318 0.70584307 0.5062167393 #> 15 247 0.31578947 0.63157895 NA 7.08204255 0.71001975 0.5555249145 #> 16 225 0.21052632 0.57894737 NA 4.44147005 0.38372673 0.5240094410 #> 17 41 0.00000000 0.10526316 19 1.37802803 0.48286991 -1.4413278382 #> 18 61 0.00000000 0.15789474 NA 5.98862455 0.23615446 -0.9506074414 #> 25 104 0.15789474 0.26315789 NA -0.28713506 0.54108388 0.8995433366 #> 26 343 0.10526316 0.89473684 NA 6.27231558 0.27693014 -1.2587700896 #> 28 56 0.78947368 0.10526316 17 2.36916717 0.87189427 0.6791997831 #> 29 53 0.63157895 0.10526316 NA 5.70030281 0.49221135 -1.8052825704 #> 31 21 0.00000000 0.05263158 NA 4.96773655 0.98623974 -0.7192696175 #> 32 353 0.63157895 0.89473684 NA 2.74594883 0.25027394 0.2149182335 #> 34 240 1.00000000 0.57894737 NA 5.23791132 0.91569035 -0.8560729865 #> 35 178 0.89473684 0.42105263 NA 3.37857968 0.09096901 1.4865266560 #> 36 347 0.31578947 0.89473684 NA 3.27986313 0.10152102 -1.1552613461 #> 37 175 0.73684211 0.42105263 NA 4.98903588 0.54737703 0.3248883132 #> 38 378 0.89473684 0.94736842 NA 1.93742384 0.77628241 -0.5714021605 #> 39 101 0.00000000 0.26315789 NA 3.25942510 0.09486438 -0.7492993120 #> 40 143 0.10526316 0.36842105 NA 4.22539191 0.88688615 -1.2851855904 #> 41 98 0.89473684 0.21052632 18 2.35149340 0.16042734 0.5862810602 #> 46 18 0.89473684 0.00000000 NA 0.15600261 0.86846601 1.5435909797 #> 48 155 0.73684211 0.36842105 NA 11.32445251 0.99052226 -1.7535874257 #> 49 217 0.84210526 0.52631579 NA 0.37775639 0.35059540 1.0784717686 #> 51 202 0.05263158 0.52631579 NA 5.03304980 0.35306995 0.6626744941 #> 52 260 1.00000000 0.63157895 NA 0.55590186 0.82457619 1.7311695479 #> 53 131 0.52631579 0.31578947 16 4.11553259 0.76690072 -0.8196993330 #> 54 230 0.47368421 0.57894737 NA 4.44554973 0.20678557 -0.2865295662 #> 55 276 0.78947368 0.68421053 NA 6.06541769 0.57529968 1.1065287441 #> 57 177 0.84210526 0.42105263 NA 4.41969046 0.62950366 0.3120815586 #> 62 302 0.05263158 0.78947368 NA 1.62285288 0.77381277 1.8199817548 #> 63 394 0.68421053 1.00000000 NA 3.28897736 0.26126434 1.9080465296 #> 64 388 0.36842105 1.00000000 NA 1.19821379 0.56370255 0.5827836832 #> 66 13 0.63157895 0.00000000 NA 5.54036788 0.91425381 -1.7627357813 #> 68 399 0.94736842 1.00000000 20 3.22848274 0.51277647 1.5008794796 #> 69 364 0.15789474 0.94736842 NA 0.36004227 0.29639897 -1.7724773576 #> 70 238 0.89473684 0.57894737 NA 2.89629740 0.39782504 0.6538722785 #> 71 365 0.21052632 0.94736842 NA 6.21174888 0.68576151 -0.6876115743 #> 72 325 0.21052632 0.84210526 NA 4.61372155 0.83824660 -0.7130458355 #> 73 25 0.21052632 0.05263158 NA 2.30453518 0.16437774 0.8553651534 #> 74 125 0.21052632 0.31578947 NA 8.17267510 0.86369247 1.5114951087 #> 75 337 0.84210526 0.84210526 NA 4.79353228 0.87031080 -1.9923970252 #> 76 375 0.73684211 0.94736842 NA 4.39205363 0.97194017 -1.9877450205 #> 78 236 0.78947368 0.57894737 NA 5.32855259 0.40671836 0.6800859794 #> 79 87 0.31578947 0.21052632 NA 4.83008630 0.03562680 -1.0030385517 #> 80 209 0.42105263 0.52631579 NA 4.23655073 0.37238756 1.4851422431 #> 83 11 0.52631579 0.00000000 NA 3.96277571 0.47879377 0.5621126769 #> 85 159 0.94736842 0.36842105 NA 3.93635886 0.90245819 -0.9345456315 #> 86 75 0.73684211 0.15789474 NA 3.52085544 0.28054711 0.3884037174 #> 88 179 0.94736842 0.42105263 NA 0.91345971 0.88405418 -0.9985816600 #> 89 389 0.42105263 1.00000000 NA 3.94217971 0.75159804 1.3244698821 #> 90 291 0.52631579 0.73684211 NA 1.09569550 0.39598373 1.9668371659 #> 91 376 0.78947368 0.94736842 NA 4.29031449 0.41369431 -1.6693980731 #> 93 292 0.57894737 0.73684211 8 5.72606798 0.91012366 0.3216091264 #> 94 5 0.21052632 0.00000000 NA 1.78074348 0.17207318 0.1150381453 #> 95 372 0.57894737 0.94736842 NA 5.30685934 0.39740746 1.7527278997 #> 96 307 0.31578947 0.78947368 NA 5.10128557 0.44708033 -1.0995451836 #> 97 390 0.47368421 1.00000000 NA 3.52426400 0.89544629 -1.8860570565 #> 98 182 0.05263158 0.47368421 NA 4.82779087 0.59523043 -0.2047200985 #> 99 77 0.84210526 0.15789474 NA 2.32613869 0.47665402 1.4702538354 #> 101 140 1.00000000 0.31578947 NA 6.67795910 0.31276570 1.0085312147 #> 102 357 0.84210526 0.89473684 NA 2.42452397 0.52150649 1.0131166577 #> 103 287 0.31578947 0.73684211 NA 3.24872071 0.41201832 0.8707982786 #> 104 248 0.36842105 0.63157895 NA 5.02238649 0.46256646 -0.0574465347 #> 105 231 0.52631579 0.57894737 23 4.79611005 0.43250965 0.8834618814 #> 106 223 0.10526316 0.57894737 NA 2.60796571 0.17651698 1.2551915888 #> 107 136 0.78947368 0.31578947 NA 5.63161220 0.16916752 1.3004977582 #> 108 251 0.52631579 0.63157895 NA 7.25187694 0.49508043 -0.0458214786 #> 112 154 0.68421053 0.36842105 NA 5.92167486 0.62162416 -1.9249972571 #> 114 308 0.36842105 0.78947368 NA 4.58412442 0.52757857 0.1571352948 #> 115 184 0.15789474 0.47368421 NA 2.15281420 0.81522446 -1.3393738912 #> 116 122 0.05263158 0.31578947 NA 3.49307063 0.82002439 0.3475673106 #> 117 139 0.94736842 0.31578947 NA 4.09957021 0.22756573 -1.3334586862 #> 119 88 0.36842105 0.21052632 NA 5.59898754 0.64092955 -0.4096083557 #> 121 254 0.68421053 0.63157895 5 4.14052185 0.34025832 0.8552414915 #> 122 72 0.57894737 0.15789474 NA 3.02797739 0.13734212 -0.2393534835 #> 123 215 0.73684211 0.52631579 NA 4.88862736 0.32283891 0.7713896539 #> 125 47 0.31578947 0.10526316 NA 5.10892017 0.31854609 0.9686320769 #> 126 80 1.00000000 0.15789474 18 3.34242469 0.95423120 1.8319616569 #> 127 95 0.73684211 0.21052632 NA 3.09093693 0.74288153 1.4752697768 #> 128 293 0.63157895 0.73684211 NA 2.40444467 0.27216839 1.9401313001 #> 129 105 0.21052632 0.26315789 NA 2.70956334 0.85676492 -1.9939373294 #> 131 158 0.89473684 0.36842105 35 5.40063161 0.57101764 -0.7519700779 #> 132 14 0.68421053 0.00000000 NA 5.53067257 0.80633653 -1.2259560367 #> 133 189 0.42105263 0.47368421 NA 8.39681042 0.32478747 0.8452712046 #> 136 84 0.15789474 0.21052632 NA 2.88953803 0.49461905 1.4774658429 #> 137 90 0.47368421 0.21052632 NA 2.29012549 0.39503542 0.5871372549 #> 140 45 0.21052632 0.10526316 NA 1.54343584 0.30601921 -0.4067625739 #> 141 338 0.89473684 0.84210526 NA 3.46540366 0.89959976 0.7627214212 #> 142 35 0.73684211 0.05263158 NA 3.59790869 0.81564372 -1.0401912965 #> 144 192 0.57894737 0.47368421 NA 4.47573754 0.14646562 0.7445855187 #> 145 315 0.73684211 0.78947368 NA 3.82964273 0.76442835 -0.4406355368 #> 146 42 0.05263158 0.10526316 NA 4.73308446 0.59159473 -1.8148197103 #> 147 183 0.10526316 0.47368421 NA 3.37141507 0.07131242 1.1597382538 #> 148 369 0.42105263 0.94736842 NA 8.48511039 0.59720696 -1.5515176328 #> 151 187 0.31578947 0.47368421 NA 2.94850844 0.83127602 -1.2978914259 #> 153 352 0.57894737 0.89473684 NA 3.48211526 0.15101599 0.8914944725 #> 154 147 0.31578947 0.36842105 11 1.51320801 0.62536172 1.9325676905 #> 156 274 0.68421053 0.68421053 NA 5.70438917 0.72782974 -1.5998130562 #> 160 67 0.31578947 0.15789474 NA 3.13656321 0.08039600 0.4011754161 #> 161 349 0.42105263 0.89473684 NA 3.91770630 0.76904097 0.2663472211 #> 162 345 0.21052632 0.89473684 NA 2.87686078 0.78032377 -0.3148297528 #> 163 29 0.42105263 0.05263158 NA 3.47701084 0.82424469 1.1454412462 #> 165 114 0.68421053 0.26315789 NA 4.19347822 0.10175761 -0.1407500850 #> 166 278 0.89473684 0.68421053 NA 4.48502647 0.87089169 -0.7866998501 #> 167 360 1.00000000 0.89473684 NA 8.27902232 0.93000584 -1.0301257931 #> 168 103 0.10526316 0.26315789 NA 2.95713473 0.19525506 0.7662764182 #> 169 63 0.10526316 0.15789474 NA 2.52103213 0.76278193 1.2531479569 #> 170 12 0.57894737 0.00000000 NA 2.98833856 0.03671970 -0.3427934814 #> 171 283 0.10526316 0.73684211 NA 5.64210313 0.02001142 1.5864149788 #> 173 285 0.21052632 0.73684211 NA 5.79383219 0.88441556 -1.9671133971 #> 174 294 0.68421053 0.73684211 NA 6.27191173 0.56463315 0.8849634128 #> 175 128 0.36842105 0.31578947 NA 5.29228470 0.77015501 0.2762912856 #> 176 71 0.52631579 0.15789474 NA 4.35650023 0.03776831 0.3856073981 #> 177 361 0.00000000 0.94736842 NA 3.81542435 0.54736765 0.0667593507 #> 179 367 0.31578947 0.94736842 6 2.10841231 0.18486807 -0.6954213204 #> 180 259 0.94736842 0.63157895 NA 7.98147774 0.51168593 -0.3677982781 #> 181 286 0.26315789 0.73684211 13 2.58761833 0.69476552 0.4820746994 #> 182 49 0.42105263 0.10526316 NA 2.36611732 0.68652065 -1.7569089159 #> 184 10 0.47368421 0.00000000 NA 6.65525079 0.70288850 0.4500947660 #> 185 93 0.63157895 0.21052632 NA 0.25501082 0.85618299 -1.9098972306 #> 186 395 0.73684211 1.00000000 NA 3.17663378 0.83523826 0.0871347645 #> 187 234 0.68421053 0.57894737 NA 5.35515923 0.16150026 1.6580990124 #> 189 134 0.68421053 0.31578947 NA 0.47583264 0.59454989 -1.7137380484 #> 190 392 0.57894737 1.00000000 NA 4.57489415 0.07630697 -1.5159973959 #> 191 73 0.63157895 0.15789474 NA 3.98264607 0.26793078 1.3149149213 #> 192 346 0.26315789 0.89473684 NA 3.44671420 0.91346108 -1.4007799141 #> 193 102 0.05263158 0.26315789 NA 1.11813119 0.04439326 0.7854228280 #> 194 214 0.68421053 0.52631579 NA 3.47454819 0.34282482 -0.9624275574 #> 197 377 0.84210526 0.94736842 NA 3.98963144 0.05772028 -0.4745730236 #> 198 284 0.15789474 0.73684211 NA 4.26826883 0.08166150 1.9392588306 #> 200 1 0.00000000 0.00000000 NA 4.28311130 0.13065697 -0.7171712546 #> 201 160 1.00000000 0.36842105 NA 3.66513316 0.41869846 0.3284357684 #> 202 318 0.89473684 0.78947368 NA 4.02860597 0.77338822 -1.5394150233 #> 204 130 0.47368421 0.31578947 22 3.06695569 0.14079882 -0.6191149745 #> 205 46 0.26315789 0.10526316 NA 5.86051911 0.62483852 0.2098879321 #> 206 227 0.31578947 0.57894737 24 2.58940035 0.61447936 -1.5631093113 #> 210 288 0.36842105 0.73684211 NA 0.66605413 0.69032949 0.8719744654 #> 211 142 0.05263158 0.36842105 NA 3.25863961 0.71854687 0.0293885441 #> 212 336 0.78947368 0.84210526 NA 3.35013101 0.96379130 0.0589244561 #> 214 34 0.68421053 0.05263158 NA 5.13801623 0.11432916 -1.4711819524 #> 215 316 0.78947368 0.78947368 NA 5.67002758 0.16967957 1.7835594183 #> 217 296 0.78947368 0.73684211 NA 2.25704839 0.29012904 0.5656581903 #> 218 290 0.47368421 0.73684211 8 2.15933732 0.96817496 -1.8117213426 #> 219 181 0.00000000 0.47368421 NA 1.92767579 0.92973838 -0.5261736130 #> 220 40 1.00000000 0.05263158 NA 7.82316561 0.92457450 1.4353489848 #> 221 354 0.68421053 0.89473684 NA 5.72891642 0.39115013 -1.2512755441 #> 222 36 0.78947368 0.05263158 8 6.23626256 0.96483546 -0.5663645156 #> 223 81 0.00000000 0.21052632 NA 2.56209595 0.06642848 -0.5061968230 #> 224 149 0.42105263 0.36842105 NA 4.27226911 0.76715890 -1.4365213178 #> 227 110 0.47368421 0.26315789 10 3.39338365 0.23594108 -1.4345380459 #> 230 400 1.00000000 1.00000000 10 4.09819411 0.44631827 1.0561984349 #> 232 91 0.52631579 0.21052632 13 1.30607688 0.88210529 1.5619692607 #> 233 237 0.84210526 0.57894737 NA 3.07603261 0.90954223 -1.6948237987 #> 236 393 0.63157895 1.00000000 NA 3.63859604 0.27136152 0.7220363617 #> 238 314 0.68421053 0.78947368 NA 4.04600208 0.19366883 -1.7729879552 #> 239 313 0.63157895 0.78947368 NA 7.40446258 0.19747208 0.6967221173 #> 240 129 0.42105263 0.31578947 10 5.74104599 0.64090830 -1.1868072646 #> 241 64 0.15789474 0.15789474 NA 3.48333828 0.09138332 -0.8032124331 #> 242 220 1.00000000 0.52631579 NA 0.98782863 0.53603175 1.8966752375 #> 243 150 0.47368421 0.36842105 NA 2.85497176 0.22035484 -0.6593851037 #> 244 241 0.00000000 0.63157895 NA 1.85420530 0.87985183 1.3924690895 #> 245 199 0.94736842 0.47368421 NA 8.05087889 0.10847010 1.1941311937 #> 248 233 0.63157895 0.57894737 NA 4.17385944 0.68362597 -0.7714497643 #> 249 138 0.89473684 0.31578947 NA -0.73528957 0.19422422 -1.5110559287 #> 250 250 0.47368421 0.63157895 NA 6.97053781 0.82700778 0.8631154615 #> 252 116 0.78947368 0.26315789 NA 3.18141839 0.03663466 -1.4926706450 #> 253 198 0.89473684 0.47368421 NA 3.07960390 0.57110013 0.0262440266 #> 254 52 0.57894737 0.10526316 NA 4.61987897 0.79292660 1.1919262754 #> 256 86 0.26315789 0.21052632 NA 6.10951732 0.72316772 0.4356214236 #> 259 218 0.89473684 0.52631579 NA 4.77387885 0.33112280 1.7298434153 #> 260 26 0.26315789 0.05263158 NA 3.77382570 0.06334518 0.8844755357 #> 261 300 1.00000000 0.73684211 NA 4.07606585 0.93827988 -1.1765164249 #> 262 15 0.73684211 0.00000000 NA 5.49811507 0.85607204 -0.5168794775 #> 263 60 1.00000000 0.10526316 NA 3.23503754 0.21985982 0.0921997679 #> 264 22 0.05263158 0.05263158 NA 3.54860910 0.30821506 -1.8823842127 #> 268 324 0.15789474 0.84210526 13 6.04735929 0.12427299 0.6431411905 #> 270 275 0.73684211 0.68421053 6 3.77097548 0.27599419 0.2181067187 #> 272 89 0.42105263 0.21052632 NA 4.75912675 0.11202008 -0.9828071650 #> 273 137 0.84210526 0.31578947 NA 3.27011313 0.32422443 -0.8724323278 #> 274 329 0.42105263 0.84210526 NA 4.79269973 0.96577357 1.5101548480 #> 276 333 0.63157895 0.84210526 NA 5.30710671 0.25426290 0.4184425268 #> 277 322 0.05263158 0.84210526 NA 5.80441962 0.63644133 -1.7809122028 #> 278 228 0.36842105 0.57894737 NA 3.29290754 0.27331554 -1.5851981221 #> 279 33 0.63157895 0.05263158 NA 3.51735457 0.07246737 -1.9841671903 #> 280 196 0.78947368 0.47368421 NA 1.44896417 0.37766149 -0.6688137986 #> 281 267 0.31578947 0.68421053 NA 6.05388040 0.03695059 0.8628927348 #> 283 16 0.78947368 0.00000000 12 4.49594494 0.20840480 -0.4916162966 #> 284 297 0.84210526 0.73684211 NA -1.94258365 0.37576917 -1.3291866044 #> 285 342 0.05263158 0.89473684 NA 4.99500582 0.30300159 0.3279660251 #> 287 359 0.94736842 0.89473684 NA 3.68054492 0.89721830 0.3704571733 #> 289 387 0.31578947 1.00000000 NA 1.34947154 0.21412443 0.2052355334 #> 290 268 0.36842105 0.68421053 NA 2.02319837 0.36803485 -1.9757425552 #> 291 222 0.05263158 0.57894737 NA 7.11489239 0.29627950 1.5577221503 #> 292 326 0.26315789 0.84210526 NA 0.11525905 0.76213415 -1.1774150813 #> 293 132 0.57894737 0.31578947 5 2.80419257 0.35130184 -1.8727771696 #> 294 323 0.10526316 0.84210526 1 6.77431155 0.14664828 -1.5399195692 #> 295 186 0.26315789 0.47368421 NA 3.87815846 0.50231971 -1.4577511959 #> 296 174 0.68421053 0.42105263 NA -1.08678738 0.50108567 1.6877470603 #> 297 28 0.36842105 0.05263158 NA 1.65662128 0.81385395 -1.2233288344 #> 298 112 0.57894737 0.26315789 NA 2.93716566 0.84390023 -1.4822634067 #> 299 298 0.89473684 0.73684211 NA 4.82812091 0.98171757 -0.4476284198 #> 300 243 0.10526316 0.63157895 NA 5.30585256 0.58359319 -0.4349410208 #> 301 262 0.05263158 0.68421053 NA 3.99749143 0.83580838 1.9452769170 #> 302 30 0.47368421 0.05263158 NA 4.76442792 0.23999142 -0.7030788967 #> 303 277 0.84210526 0.68421053 NA 5.89036930 0.52598989 -1.6419960288 #> 305 170 0.47368421 0.42105263 NA 4.50117656 0.52646796 0.3605732145 #> 306 92 0.57894737 0.21052632 NA 5.02431595 0.37178528 0.2817192692 #> 307 252 0.57894737 0.63157895 NA 3.44080323 0.13784718 1.5194557123 #> 309 210 0.47368421 0.52631579 NA 4.26042293 0.20971359 0.4426658275 #> 310 106 0.26315789 0.26315789 NA 1.07978384 0.26252589 0.8646714631 #> 312 358 0.89473684 0.89473684 10 5.43336840 0.85118555 -0.8716389099 #> 316 144 0.15789474 0.36842105 NA 4.33318392 0.97246536 0.9606274115 #> 317 385 0.21052632 1.00000000 NA 4.60941345 0.50120974 -0.0386211136 #> 318 126 0.26315789 0.31578947 NA 5.51746744 0.58255871 0.6449565114 #> 319 391 0.52631579 1.00000000 NA 1.26966486 0.39145475 0.3888137089 #> 320 135 0.73684211 0.31578947 12 6.56465174 0.49104121 -1.0912257647 #> 321 100 1.00000000 0.21052632 NA 3.69247814 0.33807427 0.8939444795 #> 323 348 0.36842105 0.89473684 NA 2.14599138 0.25157263 -1.8308257097 #> 325 6 0.26315789 0.00000000 NA 5.09945371 0.45949803 1.2675756020 #> 327 55 0.73684211 0.10526316 14 5.08995608 0.84767779 1.7197512249 #> 328 351 0.52631579 0.89473684 10 6.56515002 0.38467200 -0.5037110131 #> 329 141 0.00000000 0.36842105 NA 2.83118730 0.95599139 -0.3189087231 #> 331 204 0.15789474 0.52631579 NA 3.08972743 0.67270637 1.2973548435 #> 332 239 0.94736842 0.57894737 NA 6.78195188 0.32401517 -0.9464166937 #> 334 331 0.52631579 0.84210526 NA 3.10274915 0.50000679 -1.5784909045 #> 337 107 0.31578947 0.26315789 9 1.13126169 0.86239389 0.1957491245 #> 338 2 0.05263158 0.00000000 NA 0.84964890 0.99711013 -1.2851036759 #> 340 383 0.10526316 1.00000000 15 1.78504098 0.39343661 -1.0258499971 #> 341 165 0.21052632 0.42105263 NA 1.71164079 0.21629339 -1.8021100033 #> 342 162 0.05263158 0.42105263 NA 5.65940040 0.91664295 0.9170644777 #> 344 280 1.00000000 0.68421053 NA 2.66148456 0.02976680 -0.3074210230 #> 345 281 0.00000000 0.73684211 NA 4.16374438 0.51612358 -1.2232557898 #> 347 7 0.31578947 0.00000000 13 3.72821076 0.21309290 -1.8945648978 #> 348 334 0.68421053 0.84210526 NA 5.25440255 0.55913180 1.7139453925 #> 349 328 0.36842105 0.84210526 NA 6.18217455 0.89087955 0.5918017579 #> 350 271 0.52631579 0.68421053 NA 2.69898162 0.65965844 1.7512921086 #> 351 99 0.94736842 0.21052632 NA 4.33014108 0.91202170 0.8441253453 #> 352 279 0.94736842 0.68421053 NA 3.17851708 0.43610566 0.4338305900 #> 355 145 0.21052632 0.36842105 NA 5.88245933 0.01962406 0.0901733916 #> 356 50 0.47368421 0.10526316 NA 0.40089551 0.94142905 -1.8143718522 #> 357 381 0.00000000 1.00000000 NA 5.51861471 0.16816686 0.3632126125 #> 358 269 0.42105263 0.68421053 NA 4.37239132 0.35554768 -0.4142418262 #> 360 113 0.63157895 0.26315789 NA 1.48309583 0.72115777 -0.7690063491 #> 361 374 0.68421053 0.94736842 NA 2.83976694 0.31416440 -0.9926038543 #> 363 380 1.00000000 0.94736842 NA 3.08841725 0.17925584 1.1270263223 #> 364 221 0.00000000 0.57894737 11 4.99200874 0.08191911 1.7210509609 #> 366 156 0.78947368 0.36842105 NA 5.02638775 0.99335263 1.7899455130 #> 367 282 0.05263158 0.73684211 NA 4.86443132 0.69702513 1.7256423701 #> 368 312 0.57894737 0.78947368 NA 6.90365618 0.05600205 -1.4683661666 #> 372 164 0.15789474 0.42105263 15 2.90455249 0.71746853 1.7838850133 #> 373 379 0.94736842 0.94736842 NA 4.94009391 0.62002457 -0.7518822225 #> 374 206 0.26315789 0.52631579 NA 2.24255298 0.93910072 1.2678090027 #> 375 306 0.26315789 0.78947368 NA 3.27990429 0.32671742 0.5689160768 #> 377 203 0.10526316 0.52631579 15 3.86691208 0.03431922 -1.2265275288 #> 378 273 0.63157895 0.68421053 NA 2.74893267 0.85909313 -1.4846623689 #> 379 23 0.10526316 0.05263158 NA 3.44173873 0.28511260 -1.6272061765 #> 385 191 0.52631579 0.47368421 NA 3.68498957 0.41947277 0.9948003441 #> 387 180 1.00000000 0.42105263 NA 3.26740317 0.94689484 -0.3697850928 #> 390 70 0.47368421 0.15789474 NA 4.53330180 0.45543232 -1.7723601665 #> 392 212 0.57894737 0.52631579 NA 3.70943242 0.65899667 1.7562210122 #> 394 265 0.21052632 0.68421053 NA 7.08849621 0.20432551 -0.8743487243 #> 395 208 0.36842105 0.52631579 3 4.41507525 0.09816811 -1.1962703103 #> 398 355 0.73684211 0.89473684 NA 0.03211881 0.20286305 -1.6086196704 #> 399 344 0.15789474 0.89473684 NA 2.77948464 0.25652240 1.6962563563 #> Stratum Area xcoordsUTM_ ycoordsUTM_ Moose_pred Moose_predvar #> 6 High 2 0.36842105 0.10526316 9.457287e+00 47.49105 #> 8 High 2 0.36842105 0.94736842 9.120658e+00 47.40977 #> 14 High 2 0.84210526 0.78947368 1.100000e+01 0.00000 #> 19 High 2 0.78947368 0.52631579 1.700000e+01 0.00000 #> 20 High 2 0.00000000 0.78947368 1.000000e+01 0.00000 #> 21 High 2 1.00000000 0.84210526 6.451833e+00 47.78984 #> 22 High 2 0.47368421 0.84210526 1.300000e+01 0.00000 #> 23 High 2 0.42105263 0.57894737 7.000000e+00 0.00000 #> 24 High 2 0.42105263 0.73684211 9.000000e+00 0.00000 #> 27 High 2 0.84210526 0.63157895 7.157726e+00 46.65147 #> 30 High 2 0.36842105 0.42105263 2.000000e+00 0.00000 #> 33 High 2 0.84210526 0.47368421 7.204419e+00 46.28393 #> 42 High 2 0.94736842 0.26315789 1.000000e+00 0.00000 #> 43 High 2 0.94736842 0.73684211 1.000000e-10 0.00000 #> 44 High 2 0.15789474 0.78947368 1.100000e+01 0.00000 #> 45 High 2 0.21052632 0.52631579 9.453845e+00 51.19692 #> 47 High 2 0.42105263 0.26315789 9.112550e+00 48.28441 #> 50 High 2 0.73684211 0.73684211 7.737714e+00 46.44879 #> 56 High 2 0.05263158 1.00000000 9.019507e+00 50.14569 #> 58 High 2 0.42105263 0.00000000 9.046954e+00 48.63336 #> 59 High 2 0.47368421 0.78947368 9.070794e+00 46.23430 #> 60 High 2 0.15789474 0.57894737 5.000000e+00 0.00000 #> 61 High 2 0.52631579 0.05263158 6.000000e+00 0.00000 #> 65 High 2 0.47368421 0.68421053 9.035141e+00 45.96213 #> 67 High 2 0.63157895 0.52631579 1.400000e+01 0.00000 #> 77 High 2 0.42105263 0.78947368 1.500000e+01 0.00000 #> 81 High 2 0.10526316 0.00000000 2.100000e+01 0.00000 #> 82 High 2 0.89473684 0.63157895 1.000000e-10 0.00000 #> 84 High 2 0.47368421 0.94736842 7.000000e+00 0.00000 #> 87 High 2 0.84210526 0.26315789 1.000000e-10 0.00000 #> 92 High 2 1.00000000 0.47368421 6.383214e+00 47.41570 #> 100 High 2 0.68421053 0.47368421 8.221018e+00 45.86305 #> 109 High 2 0.10526316 0.31578947 1.000053e+01 47.89943 #> 110 High 2 0.36842105 0.36842105 8.932327e+00 47.79545 #> 111 High 2 0.84210526 0.10526316 6.537581e+00 46.97677 #> 113 High 2 0.84210526 0.21052632 1.000000e+01 0.00000 #> 118 High 2 0.31578947 0.42105263 1.000000e-10 0.00000 #> 120 High 2 0.63157895 0.94736842 8.123456e+00 46.61277 #> 124 High 2 0.36842105 0.47368421 1.000000e-10 0.00000 #> 130 High 2 0.10526316 0.68421053 8.000000e+00 0.00000 #> 134 High 2 0.52631579 0.26315789 8.413756e+00 48.81511 #> 135 High 2 0.10526316 0.10526316 1.048026e+01 49.52288 #> 138 High 2 0.05263158 0.94736842 1.000000e-10 0.00000 #> 139 High 2 0.89473684 1.00000000 1.000000e-10 0.00000 #> 143 High 2 0.68421053 0.10526316 7.342111e+00 46.91735 #> 149 High 2 0.94736842 0.10526316 6.199879e+00 47.52964 #> 150 High 2 0.94736842 0.84210526 1.000000e+01 0.00000 #> 152 High 2 0.36842105 0.00000000 9.393566e+00 48.15931 #> 155 High 2 0.15789474 1.00000000 9.010625e+00 47.54865 #> 157 High 2 0.36842105 0.15789474 1.700000e+01 0.00000 #> 158 High 2 0.31578947 0.84210526 1.400000e+01 0.00000 #> 159 High 2 0.10526316 0.94736842 1.000000e-10 0.00000 #> 164 High 2 0.31578947 0.05263158 9.673604e+00 48.91661 #> 172 High 2 0.42105263 0.15789474 1.200000e+01 0.00000 #> 178 High 2 0.57894737 0.05263158 8.056933e+00 47.33873 #> 183 High 2 0.63157895 0.31578947 7.926942e+00 45.96907 #> 188 High 2 0.52631579 0.94736842 8.606672e+00 46.80617 #> 195 High 2 0.21052632 0.63157895 9.489632e+00 45.81308 #> 196 High 2 0.73684211 0.26315789 4.000000e+00 0.00000 #> 199 High 2 0.73684211 0.47368421 7.953528e+00 48.72149 #> 203 High 2 0.73684211 0.63157895 7.885215e+00 46.04915 #> 207 High 2 0.52631579 0.42105263 1.300000e+01 0.00000 #> 208 High 2 0.89473684 0.05263158 6.398401e+00 47.54897 #> 209 High 2 0.78947368 0.89473684 6.000000e+00 0.00000 #> 213 High 2 0.57894737 0.68421053 1.000000e-10 0.00000 #> 216 High 2 0.42105263 0.42105263 8.950710e+00 45.80776 #> 225 High 2 0.05263158 0.21052632 1.044849e+01 48.21684 #> 226 High 2 0.68421053 0.15789474 1.000000e-10 0.00000 #> 228 High 2 0.84210526 0.36842105 5.000000e+00 0.00000 #> 229 High 2 0.00000000 0.89473684 1.400000e+01 0.00000 #> 231 High 2 0.63157895 0.63157895 8.400454e+00 45.88805 #> 234 High 2 0.26315789 0.15789474 9.952387e+00 47.73225 #> 235 High 2 0.26315789 0.68421053 9.419574e+00 45.78401 #> 237 High 2 0.52631579 0.10526316 8.408034e+00 46.91567 #> 246 High 2 0.26315789 0.63157895 4.000000e+00 0.00000 #> 247 High 2 0.47368421 0.47368421 2.500000e+01 0.00000 #> 251 High 2 0.63157895 0.36842105 1.000000e+00 0.00000 #> 255 High 2 0.94736842 0.78947368 6.596763e+00 47.00109 #> 257 High 2 0.84210526 0.00000000 6.704211e+00 47.95557 #> 258 High 2 0.00000000 0.84210526 9.281825e+00 47.78905 #> 265 High 2 0.73684211 0.84210526 8.000000e+00 0.00000 #> 266 High 2 0.78947368 0.63157895 7.499073e+00 47.06630 #> 267 High 2 0.21052632 0.47368421 4.000000e+00 0.00000 #> 269 High 2 0.26315789 0.42105263 9.128896e+00 46.34829 #> 271 High 2 0.26315789 0.36842105 9.284503e+00 46.27066 #> 275 High 2 0.26315789 0.57894737 1.800000e+01 0.00000 #> 282 High 2 0.26315789 1.00000000 1.800000e+01 0.00000 #> 286 High 2 0.52631579 0.52631579 8.978524e+00 45.92776 #> 288 High 2 0.05263158 0.63157895 4.000000e+00 0.00000 #> 304 High 2 0.21052632 0.15789474 1.006138e+01 49.35752 #> 308 High 2 0.00000000 0.52631579 1.700000e+01 0.00000 #> 311 High 2 0.52631579 0.78947368 8.836549e+00 46.31926 #> 313 High 2 0.63157895 0.47368421 1.800000e+01 0.00000 #> 314 High 2 0.10526316 0.21052632 2.100000e+01 0.00000 #> 315 High 2 0.89473684 0.26315789 1.300000e+01 0.00000 #> 322 High 2 0.42105263 0.63157895 9.132993e+00 45.81525 #> 324 High 2 0.15789474 0.63157895 2.100000e+01 0.00000 #> 326 High 2 0.47368421 0.89473684 9.000000e+00 0.00000 #> 330 High 2 0.15789474 0.10526316 1.031608e+01 50.38135 #> 333 High 2 0.57894737 0.42105263 8.613784e+00 45.78078 #> 335 High 2 0.15789474 0.68421053 9.531985e+00 45.94948 #> 336 High 2 0.68421053 0.21052632 7.000000e+00 0.00000 #> 339 High 2 0.15789474 0.31578947 9.831229e+00 46.90012 #> 343 High 2 0.10526316 0.78947368 9.438372e+00 47.31932 #> 346 High 2 0.15789474 0.00000000 1.047384e+01 49.49868 #> 353 High 2 0.57894737 0.36842105 8.391578e+00 46.15369 #> 354 High 2 0.36842105 0.26315789 9.265832e+00 46.44507 #> 359 High 2 0.94736842 0.00000000 5.000000e+00 0.00000 #> 362 High 2 0.63157895 0.42105263 8.341809e+00 45.81536 #> 365 High 2 0.84210526 1.00000000 1.000000e-10 0.00000 #> 369 High 2 0.10526316 0.42105263 9.659064e+00 47.04594 #> 370 High 2 0.94736842 0.05263158 6.265099e+00 47.92464 #> 371 High 2 0.57894737 0.84210526 1.500000e+01 0.00000 #> 376 High 2 0.78947368 1.00000000 9.000000e+00 0.00000 #> 380 High 2 1.00000000 0.26315789 6.097980e+00 47.70636 #> 381 High 2 0.73684211 0.57894737 8.000000e+00 0.00000 #> 382 High 2 0.21052632 0.78947368 9.483651e+00 46.90798 #> 383 High 2 0.00000000 0.68421053 9.527587e+00 46.87870 #> 384 High 2 0.52631579 0.36842105 8.636012e+00 47.19737 #> 386 High 2 0.05263158 0.15789474 1.052528e+01 48.35600 #> 388 High 2 0.26315789 0.94736842 1.000000e+01 0.00000 #> 389 High 2 0.00000000 0.31578947 1.000553e+01 50.49837 #> 391 High 2 0.89473684 0.10526316 1.000000e+00 0.00000 #> 393 High 2 0.57894737 0.57894737 8.700561e+00 45.97220 #> 396 High 2 0.78947368 0.42105263 7.378142e+00 46.05995 #> 397 High 2 0.94736842 0.15789474 3.000000e+00 0.00000 #> 400 High 2 0.00000000 0.42105263 1.000000e-10 0.00000 #> 1 Low 2 0.31578947 0.31578947 9.000000e+00 0.00000 #> 2 Low 2 0.78947368 0.15789474 2.300000e+01 0.00000 #> 3 Low 2 0.89473684 0.15789474 1.407431e+01 49.21575 #> 4 Low 2 1.00000000 0.00000000 1.407533e+01 49.44688 #> 5 Low 2 0.94736842 0.52631579 1.000000e-10 0.00000 #> 7 Low 2 0.78947368 0.21052632 1.579081e+01 54.25148 #> 9 Low 2 0.21052632 0.21052632 1.294031e+01 48.40691 #> 10 Low 2 0.84210526 0.05263158 1.597975e+01 55.06287 #> 11 Low 2 1.00000000 0.78947368 1.418085e+01 50.33393 #> 12 Low 2 0.15789474 0.05263158 9.494157e+00 57.33623 #> 13 Low 2 0.31578947 0.52631579 1.053165e+01 51.72255 #> 15 Low 2 0.31578947 0.63157895 1.005203e+01 53.29493 #> 16 Low 2 0.21052632 0.57894737 1.210695e+01 48.50811 #> 17 Low 2 0.00000000 0.10526316 1.900000e+01 0.00000 #> 18 Low 2 0.00000000 0.15789474 1.104919e+01 51.02770 #> 25 Low 2 0.15789474 0.26315789 1.588671e+01 55.97068 #> 26 Low 2 0.10526316 0.89473684 1.054550e+01 51.38743 #> 28 Low 2 0.78947368 0.10526316 1.700000e+01 0.00000 #> 29 Low 2 0.63157895 0.10526316 1.148236e+01 50.06911 #> 31 Low 2 0.00000000 0.05263158 1.187536e+01 49.45036 #> 32 Low 2 0.63157895 0.89473684 1.337723e+01 49.00688 #> 34 Low 2 1.00000000 0.57894737 1.170702e+01 49.41145 #> 35 Low 2 0.89473684 0.42105263 1.326870e+01 48.45682 #> 36 Low 2 0.31578947 0.89473684 1.287793e+01 48.58315 #> 37 Low 2 0.73684211 0.42105263 1.194073e+01 48.88224 #> 38 Low 2 0.89473684 0.94736842 1.409880e+01 50.35168 #> 39 Low 2 0.00000000 0.26315789 1.312436e+01 48.68792 #> 40 Low 2 0.10526316 0.36842105 1.234377e+01 48.51746 #> 41 Low 2 0.89473684 0.21052632 1.800000e+01 0.00000 #> 46 Low 2 0.89473684 0.00000000 1.589722e+01 54.75516 #> 48 Low 2 0.73684211 0.36842105 7.066495e+00 74.58164 #> 49 Low 2 0.84210526 0.52631579 1.547020e+01 53.90510 #> 51 Low 2 0.05263158 0.52631579 1.165316e+01 49.19075 #> 52 Low 2 1.00000000 0.63157895 1.531046e+01 53.57401 #> 53 Low 2 0.52631579 0.31578947 1.600000e+01 0.00000 #> 54 Low 2 0.47368421 0.57894737 1.215953e+01 48.38215 #> 55 Low 2 0.78947368 0.68421053 1.092379e+01 50.64799 #> 57 Low 2 0.84210526 0.42105263 1.244031e+01 48.48072 #> 62 Low 2 0.05263158 0.78947368 1.418403e+01 50.78136 #> 63 Low 2 0.68421053 1.00000000 1.295989e+01 48.72097 #> 64 Low 2 0.36842105 1.00000000 1.448508e+01 51.78888 #> 66 Low 2 0.63157895 0.00000000 1.162713e+01 49.91471 #> 68 Low 2 0.94736842 1.00000000 2.000000e+01 0.00000 #> 69 Low 2 0.15789474 0.94736842 1.512508e+01 54.17559 #> 70 Low 2 0.89473684 0.57894737 1.348943e+01 48.80721 #> 71 Low 2 0.21052632 0.94736842 1.058648e+01 51.21743 #> 72 Low 2 0.21052632 0.84210526 1.185211e+01 48.74396 #> 73 Low 2 0.21052632 0.05263158 1.396862e+01 49.48079 #> 74 Low 2 0.21052632 0.31578947 9.307277e+00 57.47695 #> 75 Low 2 0.84210526 0.84210526 1.188133e+01 48.90189 #> 76 Low 2 0.73684211 0.94736842 1.213113e+01 48.66523 #> 78 Low 2 0.78947368 0.57894737 1.156599e+01 49.34314 #> 79 Low 2 0.31578947 0.21052632 1.196184e+01 48.86156 #> 80 Low 2 0.42105263 0.52631579 1.232599e+01 48.27645 #> 83 Low 2 0.52631579 0.00000000 1.280276e+01 48.47191 #> 85 Low 2 0.94736842 0.36842105 1.289063e+01 48.42460 #> 86 Low 2 0.73684211 0.15789474 1.322700e+01 48.35410 #> 88 Low 2 0.94736842 0.42105263 1.518670e+01 52.38574 #> 89 Low 2 0.42105263 1.00000000 1.237008e+01 48.54329 #> 90 Low 2 0.52631579 0.73684211 1.467134e+01 51.76640 #> 91 Low 2 0.78947368 0.94736842 1.223084e+01 48.64457 #> 93 Low 2 0.57894737 0.73684211 8.000000e+00 0.00000 #> 94 Low 2 0.21052632 0.00000000 1.439307e+01 50.36286 #> 95 Low 2 0.57894737 0.94736842 1.136466e+01 49.46707 #> 96 Low 2 0.31578947 0.78947368 1.150590e+01 49.12210 #> 97 Low 2 0.47368421 1.00000000 1.270883e+01 48.58168 #> 98 Low 2 0.05263158 0.47368421 1.183316e+01 48.97811 #> 99 Low 2 0.84210526 0.15789474 1.420298e+01 49.39650 #> 101 Low 2 1.00000000 0.31578947 1.079117e+01 52.29937 #> 102 Low 2 0.84210526 0.89473684 1.370788e+01 49.49970 #> 103 Low 2 0.31578947 0.73684211 1.296775e+01 48.46016 #> 104 Low 2 0.36842105 0.63157895 1.165629e+01 48.93038 #> 105 Low 2 0.52631579 0.57894737 2.300000e+01 0.00000 #> 106 Low 2 0.10526316 0.57894737 1.351675e+01 49.04395 #> 107 Low 2 0.78947368 0.31578947 1.155079e+01 49.83013 #> 108 Low 2 0.52631579 0.63157895 9.964602e+00 53.70910 #> 112 Low 2 0.68421053 0.36842105 1.122371e+01 50.30467 #> 114 Low 2 0.36842105 0.78947368 1.191419e+01 48.60525 #> 115 Low 2 0.15789474 0.47368421 1.391829e+01 49.55098 #> 116 Low 2 0.05263158 0.31578947 1.292720e+01 48.52220 #> 117 Low 2 0.94736842 0.31578947 1.279542e+01 48.46371 #> 119 Low 2 0.36842105 0.21052632 1.138413e+01 49.88108 #> 121 Low 2 0.68421053 0.63157895 5.000000e+00 0.00000 #> 122 Low 2 0.57894737 0.15789474 1.350600e+01 48.53833 #> 123 Low 2 0.73684211 0.52631579 1.193006e+01 48.77962 #> 125 Low 2 0.31578947 0.10526316 1.179626e+01 49.27932 #> 126 Low 2 1.00000000 0.15789474 1.800000e+01 0.00000 #> 127 Low 2 0.73684211 0.21052632 1.354133e+01 48.52003 #> 128 Low 2 0.63157895 0.73684211 1.368412e+01 49.26018 #> 129 Low 2 0.21052632 0.26315789 1.356574e+01 48.85008 #> 131 Low 2 0.89473684 0.36842105 3.500000e+01 0.00000 #> 132 Low 2 0.68421053 0.00000000 1.165857e+01 49.89620 #> 133 Low 2 0.42105263 0.47368421 9.123071e+00 58.10554 #> 136 Low 2 0.15789474 0.21052632 1.344438e+01 48.77236 #> 137 Low 2 0.47368421 0.21052632 1.399887e+01 49.24559 #> 140 Low 2 0.21052632 0.10526316 1.453869e+01 50.71505 #> 141 Low 2 0.89473684 0.84210526 1.293314e+01 48.60610 #> 142 Low 2 0.73684211 0.05263158 1.317855e+01 48.42953 #> 144 Low 2 0.57894737 0.47368421 1.222843e+01 48.38876 #> 145 Low 2 0.73684211 0.78947368 1.259811e+01 48.38458 #> 146 Low 2 0.05263158 0.10526316 1.204740e+01 49.09851 #> 147 Low 2 0.10526316 0.47368421 1.296834e+01 48.46305 #> 148 Low 2 0.42105263 0.94736842 8.852335e+00 58.55940 #> 151 Low 2 0.31578947 0.47368421 1.331873e+01 48.53474 #> 153 Low 2 0.57894737 0.89473684 1.278841e+01 48.48380 #> 154 Low 2 0.31578947 0.36842105 1.100000e+01 0.00000 #> 156 Low 2 0.68421053 0.68421053 1.116148e+01 49.90395 #> 160 Low 2 0.31578947 0.15789474 1.330207e+01 48.52336 #> 161 Low 2 0.42105263 0.89473684 1.240563e+01 48.42088 #> 162 Low 2 0.21052632 0.89473684 1.318360e+01 48.91407 #> 163 Low 2 0.42105263 0.05263158 1.311917e+01 48.44574 #> 165 Low 2 0.68421053 0.26315789 1.262497e+01 48.31614 #> 166 Low 2 0.89473684 0.68421053 1.219741e+01 48.62544 #> 167 Low 2 1.00000000 0.89473684 9.227158e+00 57.78356 #> 168 Low 2 0.10526316 0.26315789 1.336694e+01 48.74440 #> 169 Low 2 0.10526316 0.15789474 1.374744e+01 49.21190 #> 170 Low 2 0.57894737 0.00000000 1.358227e+01 48.73076 #> 171 Low 2 0.10526316 0.73684211 1.108916e+01 50.04006 #> 173 Low 2 0.21052632 0.73684211 1.098060e+01 50.21722 #> 174 Low 2 0.68421053 0.73684211 1.070004e+01 51.06536 #> 175 Low 2 0.36842105 0.31578947 1.157437e+01 49.31453 #> 176 Low 2 0.52631579 0.15789474 1.244545e+01 48.44729 #> 177 Low 2 0.00000000 0.94736842 1.245227e+01 48.73766 #> 179 Low 2 0.31578947 0.94736842 6.000000e+00 0.00000 #> 180 Low 2 0.94736842 0.63157895 9.531650e+00 56.44853 #> 181 Low 2 0.26315789 0.73684211 1.300000e+01 0.00000 #> 182 Low 2 0.42105263 0.10526316 1.396071e+01 49.24611 #> 184 Low 2 0.47368421 0.00000000 1.069204e+01 52.39327 #> 185 Low 2 0.63157895 0.21052632 1.566866e+01 54.04958 #> 186 Low 2 0.73684211 1.00000000 1.306664e+01 48.80830 #> 187 Low 2 0.68421053 0.57894737 1.150427e+01 49.32459 #> 189 Low 2 0.68421053 0.31578947 1.547989e+01 53.37915 #> 190 Low 2 0.57894737 1.00000000 1.192611e+01 48.78573 #> 191 Low 2 0.63157895 0.15789474 1.279840e+01 48.31011 #> 192 Low 2 0.26315789 0.89473684 1.274399e+01 48.53401 #> 193 Low 2 0.05263158 0.26315789 1.478965e+01 51.72214 #> 194 Low 2 0.68421053 0.52631579 1.300618e+01 48.28156 #> 197 Low 2 0.84210526 0.94736842 1.248542e+01 48.59551 #> 198 Low 2 0.15789474 0.73684211 1.215846e+01 48.51556 #> 200 Low 2 0.00000000 0.00000000 1.241923e+01 48.92569 #> 201 Low 2 1.00000000 0.36842105 1.309554e+01 48.49269 #> 202 Low 2 0.89473684 0.78947368 1.251100e+01 48.51155 #> 204 Low 2 0.47368421 0.31578947 2.200000e+01 0.00000 #> 205 Low 2 0.26315789 0.10526316 1.120009e+01 50.54556 #> 206 Low 2 0.31578947 0.57894737 2.400000e+01 0.00000 #> 210 Low 2 0.36842105 0.73684211 1.497780e+01 52.91938 #> 211 Low 2 0.05263158 0.36842105 1.308937e+01 48.58569 #> 212 Low 2 0.78947368 0.84210526 1.297908e+01 48.57838 #> 214 Low 2 0.68421053 0.05263158 1.195814e+01 49.26128 #> 215 Low 2 0.78947368 0.78947368 1.119251e+01 49.95730 #> 217 Low 2 0.78947368 0.73684211 1.385590e+01 49.56282 #> 218 Low 2 0.47368421 0.73684211 8.000000e+00 0.00000 #> 219 Low 2 0.00000000 0.47368421 1.407750e+01 50.09239 #> 220 Low 2 1.00000000 0.05263158 9.963950e+00 56.18744 #> 221 Low 2 0.68421053 0.89473684 1.108247e+01 50.09363 #> 222 Low 2 0.78947368 0.05263158 8.000000e+00 0.00000 #> 223 Low 2 0.00000000 0.21052632 1.368593e+01 49.24959 #> 224 Low 2 0.42105263 0.36842105 1.237025e+01 48.29685 #> 227 Low 2 0.47368421 0.26315789 1.000000e+01 0.00000 #> 230 Low 2 1.00000000 1.00000000 1.000000e+01 0.00000 #> 232 Low 2 0.52631579 0.21052632 1.300000e+01 0.00000 #> 233 Low 2 0.84210526 0.57894737 1.333345e+01 48.61598 #> 236 Low 2 0.63157895 1.00000000 1.267004e+01 48.57565 #> 238 Low 2 0.68421053 0.78947368 1.241058e+01 48.37557 #> 239 Low 2 0.63157895 0.78947368 9.787745e+00 54.24366 #> 240 Low 2 0.42105263 0.31578947 1.000000e+01 0.00000 #> 241 Low 2 0.15789474 0.15789474 1.300567e+01 48.50726 #> 242 Low 2 1.00000000 0.52631579 1.503826e+01 52.28115 #> 243 Low 2 0.47368421 0.36842105 1.349613e+01 48.56424 #> 244 Low 2 0.00000000 0.63157895 1.407029e+01 50.28000 #> 245 Low 2 0.94736842 0.47368421 9.594286e+00 56.72165 #> 248 Low 2 0.63157895 0.57894737 1.240782e+01 48.27261 #> 249 Low 2 0.89473684 0.31578947 1.654180e+01 58.04361 #> 250 Low 2 0.47368421 0.63157895 1.016829e+01 52.86484 #> 252 Low 2 0.78947368 0.26315789 1.347936e+01 48.47928 #> 253 Low 2 0.89473684 0.47368421 1.344096e+01 48.63122 #> 254 Low 2 0.57894737 0.10526316 1.228983e+01 48.67228 #> 256 Low 2 0.26315789 0.21052632 1.095818e+01 50.97022 #> 259 Low 2 0.89473684 0.52631579 1.207376e+01 48.78685 #> 260 Low 2 0.26315789 0.05263158 1.283981e+01 48.49124 #> 261 Low 2 1.00000000 0.73684211 1.253407e+01 48.59411 #> 262 Low 2 0.73684211 0.00000000 1.170574e+01 49.84764 #> 263 Low 2 1.00000000 0.10526316 1.352241e+01 48.73949 #> 264 Low 2 0.05263158 0.05263158 1.298237e+01 48.68724 #> 268 Low 2 0.15789474 0.84210526 1.300000e+01 0.00000 #> 270 Low 2 0.73684211 0.68421053 6.000000e+00 0.00000 #> 272 Low 2 0.42105263 0.21052632 1.205876e+01 48.73033 #> 273 Low 2 0.84210526 0.31578947 1.341334e+01 48.46222 #> 274 Low 2 0.42105263 0.84210526 1.174175e+01 48.79804 #> 276 Low 2 0.63157895 0.84210526 1.140113e+01 49.37374 #> 277 Low 2 0.05263158 0.84210526 1.092246e+01 50.43713 #> 278 Low 2 0.36842105 0.57894737 1.302278e+01 48.32976 #> 279 Low 2 0.63157895 0.05263158 1.318746e+01 48.42157 #> 280 Low 2 0.78947368 0.47368421 1.466800e+01 50.91767 #> 281 Low 2 0.31578947 0.68421053 1.081983e+01 50.64546 #> 283 Low 2 0.78947368 0.00000000 1.200000e+01 0.00000 #> 284 Low 2 0.84210526 0.73684211 1.713761e+01 64.08606 #> 285 Low 2 0.05263158 0.89473684 1.153958e+01 49.28080 #> 287 Low 2 0.94736842 0.89473684 1.277542e+01 48.63521 #> 289 Low 2 0.31578947 1.00000000 1.435757e+01 51.43214 #> 290 Low 2 0.36842105 0.68421053 1.395330e+01 49.74747 #> 291 Low 2 0.05263158 0.57894737 1.001570e+01 53.64377 #> 292 Low 2 0.26315789 0.84210526 1.534577e+01 54.82241 #> 293 Low 2 0.57894737 0.31578947 5.000000e+00 0.00000 #> 294 Low 2 0.10526316 0.84210526 1.000000e+00 0.00000 #> 295 Low 2 0.26315789 0.47368421 1.259016e+01 48.25659 #> 296 Low 2 0.68421053 0.42105263 1.662431e+01 59.40891 #> 297 Low 2 0.36842105 0.05263158 1.451195e+01 50.46200 #> 298 Low 2 0.57894737 0.26315789 1.352943e+01 48.53623 #> 299 Low 2 0.89473684 0.73684211 1.190896e+01 48.90953 #> 300 Low 2 0.10526316 0.63157895 1.139951e+01 49.49009 #> 301 Low 2 0.05263158 0.68421053 1.238704e+01 48.51358 #> 302 Low 2 0.47368421 0.05263158 1.214241e+01 48.87584 #> 303 Low 2 0.84210526 0.68421053 1.108465e+01 50.33829 #> 305 Low 2 0.47368421 0.42105263 1.219255e+01 48.40709 #> 306 Low 2 0.57894737 0.21052632 1.193549e+01 48.97408 #> 307 Low 2 0.57894737 0.63157895 1.293028e+01 48.28946 #> 309 Low 2 0.47368421 0.52631579 1.232929e+01 48.27704 #> 310 Low 2 0.26315789 0.26315789 1.483426e+01 51.61473 #> 312 Low 2 0.89473684 0.89473684 1.000000e+01 0.00000 #> 316 Low 2 0.15789474 0.36842105 1.226386e+01 48.51475 #> 317 Low 2 0.21052632 1.00000000 1.182396e+01 48.90144 #> 318 Low 2 0.26315789 0.31578947 1.137035e+01 49.74443 #> 319 Low 2 0.52631579 1.00000000 1.447320e+01 51.63900 #> 320 Low 2 0.73684211 0.31578947 1.200000e+01 0.00000 #> 321 Low 2 1.00000000 0.21052632 1.315046e+01 48.52926 #> 323 Low 2 0.36842105 0.89473684 1.376730e+01 49.74983 #> 325 Low 2 0.26315789 0.00000000 1.183040e+01 49.41715 #> 327 Low 2 0.73684211 0.10526316 1.400000e+01 0.00000 #> 328 Low 2 0.52631579 0.89473684 1.000000e+01 0.00000 #> 329 Low 2 0.00000000 0.36842105 1.341646e+01 48.93235 #> 331 Low 2 0.15789474 0.52631579 1.317127e+01 48.55861 #> 332 Low 2 0.94736842 0.57894737 1.049062e+01 52.47944 #> 334 Low 2 0.52631579 0.84210526 1.307805e+01 48.61548 #> 337 Low 2 0.31578947 0.26315789 9.000000e+00 0.00000 #> 338 Low 2 0.05263158 0.00000000 1.509004e+01 52.58458 #> 340 Low 2 0.10526316 1.00000000 1.500000e+01 0.00000 #> 341 Low 2 0.21052632 0.42105263 1.428285e+01 50.24955 #> 342 Low 2 0.05263158 0.42105263 1.120781e+01 50.14739 #> 344 Low 2 1.00000000 0.68421053 1.365270e+01 49.20330 #> 345 Low 2 0.00000000 0.73684211 1.223656e+01 48.64375 #> 347 Low 2 0.31578947 0.00000000 1.300000e+01 0.00000 #> 348 Low 2 0.68421053 0.84210526 1.146067e+01 49.32076 #> 349 Low 2 0.36842105 0.84210526 1.065392e+01 50.97101 #> 350 Low 2 0.52631579 0.68421053 1.345867e+01 48.83194 #> 351 Low 2 0.94736842 0.21052632 1.265637e+01 48.58898 #> 352 Low 2 0.94736842 0.68421053 1.323181e+01 48.69777 #> 355 Low 2 0.21052632 0.36842105 1.106508e+01 50.42676 #> 356 Low 2 0.47368421 0.10526316 1.550813e+01 53.58625 #> 357 Low 2 0.00000000 1.00000000 1.112553e+01 50.14785 #> 358 Low 2 0.42105263 0.68421053 1.213878e+01 48.39273 #> 360 Low 2 0.63157895 0.26315789 1.469062e+01 50.69438 #> 361 Low 2 0.68421053 0.94736842 1.331519e+01 48.99239 #> 363 Low 2 1.00000000 0.94736842 1.324239e+01 48.99360 #> 364 Low 2 0.00000000 0.57894737 1.100000e+01 0.00000 #> 366 Low 2 0.78947368 0.36842105 1.198501e+01 48.95903 #> 367 Low 2 0.05263158 0.73684211 1.169158e+01 49.04662 #> 368 Low 2 0.57894737 0.78947368 1.015976e+01 52.69239 #> 372 Low 2 0.15789474 0.42105263 1.500000e+01 0.00000 #> 373 Low 2 0.94736842 0.94736842 1.179002e+01 49.20655 #> 374 Low 2 0.26315789 0.52631579 1.384161e+01 49.35503 #> 375 Low 2 0.26315789 0.78947368 1.291234e+01 48.50920 #> 377 Low 2 0.10526316 0.52631579 1.500000e+01 0.00000 #> 378 Low 2 0.63157895 0.68421053 1.344206e+01 48.81378 #> 379 Low 2 0.10526316 0.05263158 1.307107e+01 48.65945 #> 385 Low 2 0.52631579 0.47368421 1.282182e+01 48.17618 #> 387 Low 2 1.00000000 0.42105263 1.336214e+01 48.62598 #> 390 Low 2 0.47368421 0.15789474 1.228152e+01 48.57146 #> 392 Low 2 0.57894737 0.52631579 1.279235e+01 48.19171 #> 394 Low 2 0.21052632 0.68421053 1.000251e+01 53.39598 #> 395 Low 2 0.36842105 0.52631579 3.000000e+00 0.00000 #> 398 Low 2 0.73684211 0.89473684 1.552132e+01 55.30531 #> 399 Low 2 0.15789474 0.89473684 1.325651e+01 49.03955 #> Moose_sampind Moose_muhat Moose_piest Moose_areas #> 6 0 3.898507 1 2 #> 8 0 3.884374 1 2 #> 14 1 3.896132 1 2 #> 19 1 3.913108 1 2 #> 20 1 3.899312 1 2 #> 21 0 3.915862 1 2 #> 22 1 3.880421 1 2 #> 23 1 3.915278 1 2 #> 24 1 3.875837 1 2 #> 27 0 3.892069 1 2 #> 30 1 3.891856 1 2 #> 33 0 3.910452 1 2 #> 42 1 3.920029 1 2 #> 43 1 3.893745 1 2 #> 44 1 3.933115 1 2 #> 45 0 3.964681 1 2 #> 47 0 3.944625 1 2 #> 50 0 3.892787 1 2 #> 56 0 3.949195 1 2 #> 58 0 3.891296 1 2 #> 59 0 3.891545 1 2 #> 60 1 3.870677 1 2 #> 61 1 3.906042 1 2 #> 65 0 3.919793 1 2 #> 67 1 3.926370 1 2 #> 77 1 3.923999 1 2 #> 81 1 3.940897 1 2 #> 82 1 3.910531 1 2 #> 84 1 3.914951 1 2 #> 87 1 3.905044 1 2 #> 92 0 3.898555 1 2 #> 100 0 3.913782 1 2 #> 109 0 3.931321 1 2 #> 110 0 3.877101 1 2 #> 111 0 3.902634 1 2 #> 113 1 3.899389 1 2 #> 118 1 3.938392 1 2 #> 120 0 3.910275 1 2 #> 124 1 3.888680 1 2 #> 130 1 3.887007 1 2 #> 134 0 3.870326 1 2 #> 135 0 3.884989 1 2 #> 138 1 3.908015 1 2 #> 139 1 3.901416 1 2 #> 143 0 3.916908 1 2 #> 149 0 3.914471 1 2 #> 150 1 3.892608 1 2 #> 152 0 3.907786 1 2 #> 155 0 3.895501 1 2 #> 157 1 3.943781 1 2 #> 158 1 3.940892 1 2 #> 159 1 3.962607 1 2 #> 164 0 3.886046 1 2 #> 172 1 3.908307 1 2 #> 178 0 3.916671 1 2 #> 183 0 3.907063 1 2 #> 188 0 3.893142 1 2 #> 195 0 3.911893 1 2 #> 196 1 3.910088 1 2 #> 199 0 3.949162 1 2 #> 203 0 3.912832 1 2 #> 207 1 3.884640 1 2 #> 208 0 3.907083 1 2 #> 209 1 3.920797 1 2 #> 213 1 3.941942 1 2 #> 216 0 3.908379 1 2 #> 225 0 3.922140 1 2 #> 226 1 3.924079 1 2 #> 228 1 3.922993 1 2 #> 229 1 3.904386 1 2 #> 231 0 3.903353 1 2 #> 234 0 3.927939 1 2 #> 235 0 3.908654 1 2 #> 237 0 3.910683 1 2 #> 246 1 3.884903 1 2 #> 247 1 3.937054 1 2 #> 251 1 3.935355 1 2 #> 255 0 3.903137 1 2 #> 257 0 3.911508 1 2 #> 258 0 3.889248 1 2 #> 265 1 3.904535 1 2 #> 266 0 3.883124 1 2 #> 267 1 3.886301 1 2 #> 269 0 3.895975 1 2 #> 271 0 3.909042 1 2 #> 275 1 3.952455 1 2 #> 282 1 3.917139 1 2 #> 286 0 3.920614 1 2 #> 288 1 3.912988 1 2 #> 304 0 3.877665 1 2 #> 308 1 3.898647 1 2 #> 311 0 3.891134 1 2 #> 313 1 3.920241 1 2 #> 314 1 3.888984 1 2 #> 315 1 3.880871 1 2 #> 322 0 3.916762 1 2 #> 324 1 3.886559 1 2 #> 326 1 3.890791 1 2 #> 330 0 3.874253 1 2 #> 333 0 3.907137 1 2 #> 335 0 3.910268 1 2 #> 336 1 3.888243 1 2 #> 339 0 3.911956 1 2 #> 343 0 3.933752 1 2 #> 346 0 3.931731 1 2 #> 353 0 3.896432 1 2 #> 354 0 3.912454 1 2 #> 359 1 3.901414 1 2 #> 362 0 3.913362 1 2 #> 365 1 3.925679 1 2 #> 369 0 3.924209 1 2 #> 370 0 3.913674 1 2 #> 371 1 3.901582 1 2 #> 376 1 3.912092 1 2 #> 380 0 3.889535 1 2 #> 381 1 3.871627 1 2 #> 382 0 3.932132 1 2 #> 383 0 3.903448 1 2 #> 384 0 3.881598 1 2 #> 386 0 3.907963 1 2 #> 388 1 3.877045 1 2 #> 389 0 3.870340 1 2 #> 391 1 3.898906 1 2 #> 393 0 3.897734 1 2 #> 396 0 3.908889 1 2 #> 397 1 3.897180 1 2 #> 400 1 3.932833 1 2 #> 1 1 6.191563 1 2 #> 2 1 7.122757 1 2 #> 3 0 6.887695 1 2 #> 4 0 6.882188 1 2 #> 5 1 6.427931 1 2 #> 7 0 7.769981 1 2 #> 9 0 6.485013 1 2 #> 10 0 7.845841 1 2 #> 11 0 7.111825 1 2 #> 12 0 4.733356 1 2 #> 13 0 5.331672 1 2 #> 15 0 5.113442 1 2 #> 16 0 6.137526 1 2 #> 17 1 7.325611 1 2 #> 18 0 5.537498 1 2 #> 25 0 7.971405 1 2 #> 26 0 5.427476 1 2 #> 28 1 6.941220 1 2 #> 29 0 5.649317 1 2 #> 31 0 5.933426 1 2 #> 32 0 6.795095 1 2 #> 34 0 5.828645 1 2 #> 35 0 6.549743 1 2 #> 36 0 6.588028 1 2 #> 37 0 5.925166 1 2 #> 38 0 7.108662 1 2 #> 39 0 6.595955 1 2 #> 40 0 6.221327 1 2 #> 41 1 6.948075 1 2 #> 46 0 7.799545 1 2 #> 48 0 3.468122 1 2 #> 49 0 7.713543 1 2 #> 51 0 5.908096 1 2 #> 52 0 7.644453 1 2 #> 53 1 6.263933 1 2 #> 54 0 6.135944 1 2 #> 55 0 5.507716 1 2 #> 57 0 6.145973 1 2 #> 62 0 7.230661 1 2 #> 63 0 6.584494 1 2 #> 64 0 7.395347 1 2 #> 66 0 5.711344 1 2 #> 68 1 6.607955 1 2 #> 69 0 7.720413 1 2 #> 70 0 6.736785 1 2 #> 71 0 5.450965 1 2 #> 72 0 6.070722 1 2 #> 73 0 6.966286 1 2 #> 74 0 4.690465 1 2 #> 75 0 6.000987 1 2 #> 76 0 6.156691 1 2 #> 78 0 5.793492 1 2 #> 79 0 5.986810 1 2 #> 80 0 6.216999 1 2 #> 83 0 6.323177 1 2 #> 85 0 6.333422 1 2 #> 86 0 6.494565 1 2 #> 88 0 7.505783 1 2 #> 89 0 6.331164 1 2 #> 90 0 7.435107 1 2 #> 91 0 6.196148 1 2 #> 93 1 5.639325 1 2 #> 94 0 7.169427 1 2 #> 95 0 5.801905 1 2 #> 96 0 5.881632 1 2 #> 97 0 6.493243 1 2 #> 98 0 5.987701 1 2 #> 99 0 6.957908 1 2 #> 101 0 5.270156 1 2 #> 102 0 6.919752 1 2 #> 103 0 6.600106 1 2 #> 104 0 5.912231 1 2 #> 105 1 5.999987 1 2 #> 106 0 6.848608 1 2 #> 107 0 5.675957 1 2 #> 108 0 5.047576 1 2 #> 112 0 5.563463 1 2 #> 114 0 6.082201 1 2 #> 115 0 7.025128 1 2 #> 116 0 6.505341 1 2 #> 117 0 6.270124 1 2 #> 119 0 5.688610 1 2 #> 121 1 6.254242 1 2 #> 122 0 6.685716 1 2 #> 123 0 5.964107 1 2 #> 125 0 5.878671 1 2 #> 126 1 6.563765 1 2 #> 127 0 6.661299 1 2 #> 128 0 6.927539 1 2 #> 129 0 6.809206 1 2 #> 131 1 5.765538 1 2 #> 132 0 5.715104 1 2 #> 133 0 4.603540 1 2 #> 136 0 6.739407 1 2 #> 137 0 6.971875 1 2 #> 140 0 7.261461 1 2 #> 141 0 6.516071 1 2 #> 142 0 6.464682 1 2 #> 144 0 6.124236 1 2 #> 145 0 6.374809 1 2 #> 146 0 6.024430 1 2 #> 147 0 6.552522 1 2 #> 148 0 4.569295 1 2 #> 151 0 6.716537 1 2 #> 153 0 6.509590 1 2 #> 154 1 7.273184 1 2 #> 156 0 5.647733 1 2 #> 160 0 6.643604 1 2 #> 161 0 6.340656 1 2 #> 162 0 6.744323 1 2 #> 163 0 6.511569 1 2 #> 165 0 6.233704 1 2 #> 166 0 6.120634 1 2 #> 167 0 4.649221 1 2 #> 168 0 6.713191 1 2 #> 169 0 6.882323 1 2 #> 170 0 6.701089 1 2 #> 171 0 5.671889 1 2 #> 173 0 5.613044 1 2 #> 174 0 5.427632 1 2 #> 175 0 5.807558 1 2 #> 176 0 6.170480 1 2 #> 177 0 6.380323 1 2 #> 179 1 7.042348 1 2 #> 180 0 4.764617 1 2 #> 181 1 6.856499 1 2 #> 182 0 6.942403 1 2 #> 184 0 5.278963 1 2 #> 185 0 7.761147 1 2 #> 186 0 6.628063 1 2 #> 187 0 5.783173 1 2 #> 189 0 7.675506 1 2 #> 190 0 6.085781 1 2 #> 191 0 6.315470 1 2 #> 192 0 6.523319 1 2 #> 193 0 7.426406 1 2 #> 194 0 6.512524 1 2 #> 197 0 6.312761 1 2 #> 198 0 6.204698 1 2 #> 200 0 6.198942 1 2 #> 201 0 6.438610 1 2 #> 202 0 6.297646 1 2 #> 204 1 6.670600 1 2 #> 205 0 5.587181 1 2 #> 206 1 6.855808 1 2 #> 210 0 7.601733 1 2 #> 211 0 6.596259 1 2 #> 212 0 6.560777 1 2 #> 214 0 5.867387 1 2 #> 215 0 5.661059 1 2 #> 217 0 6.984703 1 2 #> 218 1 7.022598 1 2 #> 219 0 7.112443 1 2 #> 220 0 4.826015 1 2 #> 221 0 5.638220 1 2 #> 222 1 5.441458 1 2 #> 223 0 6.866398 1 2 #> 224 0 6.203147 1 2 #> 227 1 6.544002 1 2 #> 230 1 6.270658 1 2 #> 232 1 7.353515 1 2 #> 233 0 6.667079 1 2 #> 236 0 6.448902 1 2 #> 238 0 6.290899 1 2 #> 239 0 4.988399 1 2 #> 240 1 5.633516 1 2 #> 241 0 6.509115 1 2 #> 242 0 7.476940 1 2 #> 243 0 6.752813 1 2 #> 244 0 7.140936 1 2 #> 245 0 4.737701 1 2 #> 248 0 6.241313 1 2 #> 249 0 8.145212 1 2 #> 250 0 5.156686 1 2 #> 252 0 6.626208 1 2 #> 253 0 6.665694 1 2 #> 254 0 6.068334 1 2 #> 256 0 5.490613 1 2 #> 259 0 6.008609 1 2 #> 260 0 6.396456 1 2 #> 261 0 6.279240 1 2 #> 262 0 5.727731 1 2 #> 263 0 6.605413 1 2 #> 264 0 6.483801 1 2 #> 268 1 5.514720 1 2 #> 270 1 6.397562 1 2 #> 272 0 6.014330 1 2 #> 273 0 6.591810 1 2 #> 274 0 6.001310 1 2 #> 276 0 5.801809 1 2 #> 277 0 5.608938 1 2 #> 278 0 6.582969 1 2 #> 279 0 6.495923 1 2 #> 280 0 7.298100 1 2 #> 281 0 5.512191 1 2 #> 283 1 6.116399 1 2 #> 284 0 8.613432 1 2 #> 285 0 5.922850 1 2 #> 287 0 6.432633 1 2 #> 289 0 7.336686 1 2 #> 290 0 7.075396 1 2 #> 291 0 5.100702 1 2 #> 292 0 7.815346 1 2 #> 293 1 6.772506 1 2 #> 294 1 5.232788 1 2 #> 295 0 6.355993 1 2 #> 296 0 8.281532 1 2 #> 297 0 7.217565 1 2 #> 298 0 6.720936 1 2 #> 299 0 5.987573 1 2 #> 300 0 5.802296 1 2 #> 301 0 6.309713 1 2 #> 302 0 6.012275 1 2 #> 303 0 5.575604 1 2 #> 305 0 6.114370 1 2 #> 306 0 5.911483 1 2 #> 307 0 6.525611 1 2 #> 309 0 6.207741 1 2 #> 310 0 7.441278 1 2 #> 312 1 5.752842 1 2 #> 316 0 6.179522 1 2 #> 317 0 6.072393 1 2 #> 318 0 5.720226 1 2 #> 319 0 7.367637 1 2 #> 320 1 5.314100 1 2 #> 321 0 6.428005 1 2 #> 323 0 7.027774 1 2 #> 325 0 5.882343 1 2 #> 327 1 5.886026 1 2 #> 328 1 5.313907 1 2 #> 329 0 6.762037 1 2 #> 331 0 6.661768 1 2 #> 332 0 5.229825 1 2 #> 334 0 6.656718 1 2 #> 337 1 7.421313 1 2 #> 338 0 7.530530 1 2 #> 340 1 7.167760 1 2 #> 341 0 7.196227 1 2 #> 342 0 5.665180 1 2 #> 344 0 6.827852 1 2 #> 345 0 6.245236 1 2 #> 347 1 6.414147 1 2 #> 348 0 5.822249 1 2 #> 349 0 5.462435 1 2 #> 350 0 6.813310 1 2 #> 351 0 6.180703 1 2 #> 352 0 6.627333 1 2 #> 355 0 5.578672 1 2 #> 356 0 7.704569 1 2 #> 357 0 5.719781 1 2 #> 358 0 6.164317 1 2 #> 360 0 7.284863 1 2 #> 361 0 6.758709 1 2 #> 363 0 6.662276 1 2 #> 364 1 5.924013 1 2 #> 366 0 5.910680 1 2 #> 367 0 5.973491 1 2 #> 368 0 5.182625 1 2 #> 372 1 6.733584 1 2 #> 373 0 5.944147 1 2 #> 374 0 6.990325 1 2 #> 375 0 6.588012 1 2 #> 377 1 6.360355 1 2 #> 378 0 6.793937 1 2 #> 379 0 6.525249 1 2 #> 385 0 6.430909 1 2 #> 387 0 6.592861 1 2 #> 390 0 6.101911 1 2 #> 392 0 6.421430 1 2 #> 394 0 5.110939 1 2 #> 395 1 6.147763 1 2 #> 398 0 7.847590 1 2 #> 399 0 6.782088 1 2 #>
## Note how the column names for coordinates, area, and stratum ## must be in quotes:
# NOT RUN { multistrat(formula = Moose ~ CountPred, data = vignettecount, xcoordcol = Xcoords, ycoordcol = Ycoords, areacol = Area, stratcol = Stratum) #' # }