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###
### Running command:
###
### /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data edge
###
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* checking for file ‘edge/DESCRIPTION’ ... OK
* preparing ‘edge’:
* checking DESCRIPTION meta-information ... OK
* cleaning src
* installing the package to build vignettes
* creating vignettes ...sh: line 1: 17974 Segmentation fault: 11 '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/Rtmp90ssLp/xshell3d5b31235286' 2>&1
ERROR
--- re-building ‘edge.Rnw’ using knitr
Loading required package: Biobase
Loading required package: BiocGenerics
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
as.data.frame, basename, cbind, colnames, dirname, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
pmin.int, rank, rbind, rownames, sapply, setdiff, table, tapply,
union, unique, unsplit, which.max, which.min
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Information on package 'edge'
Description:
Package: edge
Type: Package
Title: Extraction of
Differential Gene
Expression
Date: 2015-04-15
Version: 2.35.0
Author: John D. Storey,
Jeffrey T. Leek and
Andrew J. Bass
Maintainer: John D. Storey
<jstorey@princeton.edu>,
Andrew J. Bass
<ajbass@emory.edu>
biocViews: MultipleComparison,
DifferentialExpression,
TimeCourse,
Regression,
GeneExpression,
DataImport
Description: The edge package
implements methods
for carrying out
differential
expression analyses
of genome-wide gene
expression studies.
Significance testing
using the optimal
discovery procedure
and generalized
likelihood ratio
tests (equivalent to
F-tests and t-tests)
are implemented for
general study
designs. Special
functions are
available to
facilitate the
analysis of common
study designs,
including time
course experiments.
Other packages such
as snm, sva, and
qvalue are
integrated in edge
to provide a wide
range of tools for
gene expression
analysis.
VignetteBuilder: knitr
Imports: methods, splines,
sva, snm, qvalue(>=
1.99.0), MASS
Suggests: testthat, knitr,
ggplot2, reshape2
Depends: R(>= 3.1.0), Biobase
URL: https://github.com/jdstorey/edge
BugReports: https://github.com/jdstorey/edge/issues
LazyData: true
License: MIT + file LICENSE
NeedsCompilation: yes
RoxygenNote: 5.0.1
git_url: https://git.bioconductor.org/packages/edge
git_branch: devel
git_last_commit: 2d94cb8
git_last_commit_date:
2023-10-24
Repository: Bioconductor 3.19
Date/Publication: 2024-03-27
Built: R 4.4.0;
x86_64-apple-darwin20;
2024-03-27 20:39:08
UTC; unix
Index:
apply_qvalue Estimate the q-values for a given set of
p-values
apply_snm Supervised normalization of data in edge
apply_sva Estimate surrogate variables
betaCoef Regression coefficients from full model fit
build_models Generate a deSet object with full and null
models
build_study Formulates the experimental models
deFit-class The differential expression class for the model
fits
deSet Create a deSet object from an ExpressionSet
deSet-class The differential expression class (deSet)
edge Extraction of Differential Gene Expression
endotoxin Gene expression dataset from Calvano et al.
(2005) Nature
fitFull Fitted data from the full model
fitNull Fitted data from the null model
fit_models Linear regression of the null and full models
fullMatrix Matrix representation of full model
fullModel Full model equation
gibson Gene expression dataset from Idaghdour et al.
(2008)
individual Individuals sampled in experiment
kidney Gene expression dataset from Rodwell et al.
(2004)
kl_clust Modular optimal discovery procedure (mODP)
lrt Performs F-test (likelihood ratio test using
Normal likelihood)
nullMatrix Matrix representation of null model
nullModel Null model equation from deSet object
odp The optimal discovery procedure
qvalueObj Access/set qvalue slot
resFull Residuals of full model fit
resNull Residuals of null model fit
sType Statistic type used in analysis
show Show function for deFit and deSet
summary Summary of deFit and deSet
Warning: code chunks must not depend on the uncached chunk "gibson_import_data"
Warning: code chunks must not depend on the uncached chunk "gibson_fit_models"
Warning: code chunks must not depend on the uncached chunk "kidney_import_data"
Warning: code chunks must not depend on the uncached chunk "kidney_fit_models"
Warning: code chunks must not depend on the uncached chunk "kidney_extract"
Warning: code chunks must not depend on the uncached chunk "endotoxin_import_data"
Warning: code chunks must not depend on the uncached chunk "endotoxin_build_models"
Warning: code chunks must not depend on the uncached chunk "endotoxin_fit_models"
Warning: code chunks must not depend on the uncached chunk "endotoxin_sig"
Warning: code chunks must not depend on the uncached chunk "endotoxin_extract"
Warning: code chunks must not depend on the uncached chunk "sva"
*** caught segfault ***
address 0x0, cause 'unknown'
Traceback:
1: .Call(merPredDCreate, as(X, "matrix"), Lambdat, LamtUt, Lind, RZX, Ut, Utr, V, VtV, Vtr, Xwts, Zt, beta0, delb, delu, theta, u0)
2: initializePtr()
3: .Object$initialize(...)
4: initialize(value, ...)
5: initialize(value, ...)
6: methods::new(def, ...)
7: (new("refMethodDef", .Data = function (...) { methods::new(def, ...)}, mayCall = c("methods", "new"), name = "new", refClassName = "refGeneratorSlot", superClassMethod = ""))(Zt = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 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250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L), p = c(0L, 4L, 8L, 12L, 16L, 20L, 24L, 28L, 32L, 36L, 40L, 44L, 48L, 52L, 56L, 60L, 64L, 68L, 72L, 76L, 80L, 84L, 88L, 92L, 96L, 100L, 104L, 108L, 112L, 116L, 120L, 124L, 128L, 132L, 136L, 140L, 144L, 148L, 152L, 156L, 160L, 164L, 168L, 172L, 176L, 180L, 184L, 188L, 192L, 196L, 200L, 204L, 208L, 212L, 216L, 220L, 224L, 228L, 232L, 236L, 240L, 244L, 248L, 252L, 256L, 260L, 264L, 268L, 272L, 276L, 280L, 284L, 288L, 292L, 296L, 300L, 304L, 308L, 312L, 316L, 320L, 324L, 328L, 332L, 336L, 340L, 344L, 348L, 352L, 356L, 360L, 364L, 368L, 372L, 376L, 380L, 384L, 388L, 392L, 396L, 400L, 404L, 408L, 412L, 416L, 420L, 424L, 428L, 432L, 436L, 440L, 444L, 448L, 452L, 456L, 460L, 464L, 468L, 472L, 476L, 480L, 484L, 488L, 492L, 496L, 500L, 504L, 508L, 512L, 516L, 520L, 524L, 528L, 532L, 536L, 540L, 544L, 548L, 552L, 556L, 560L, 564L, 568L, 572L, 576L, 580L, 584L, 588L, 592L, 596L, 600L, 604L, 608L, 612L, 616L, 620L, 624L, 628L, 632L, 636L, 640L, 644L, 648L, 652L, 656L, 660L, 664L, 668L, 672L, 676L, 680L, 684L, 688L, 692L, 696L, 700L, 704L, 708L, 712L, 716L, 720L, 724L, 728L, 732L, 736L, 740L, 744L, 748L, 752L, 756L, 760L, 764L, 768L, 772L, 776L, 780L, 784L, 788L, 792L, 796L, 800L, 804L, 808L, 812L, 816L, 820L, 824L, 828L, 832L, 836L, 840L, 844L, 848L, 852L, 856L, 860L, 864L, 868L, 872L, 876L, 880L, 884L, 888L, 892L, 896L, 900L, 904L, 908L, 912L, 916L, 920L, 924L, 928L, 932L, 936L, 940L, 944L, 948L, 952L, 956L, 960L, 964L, 968L, 972L, 976L, 980L, 984L, 988L, 992L, 996L, 1000L, 1004L, 1008L, 1012L, 1016L, 1020L, 1024L, 1028L, 1032L, 1036L, 1040L, 1044L, 1048L, 1052L, 1056L, 1060L, 1064L, 1068L, 1072L, 1076L, 1080L, 1084L, 1088L, 1092L, 1096L, 1100L, 1104L, 1108L, 1112L, 1116L, 1120L, 1124L, 1128L, 1132L, 1136L, 1140L, 1144L, 1148L, 1152L, 1156L, 1160L, 1164L, 1168L, 1172L, 1176L, 1180L, 1184L, 1188L, 1192L, 1196L, 1200L, 1204L, 1208L, 1212L, 1216L, 1220L, 1224L, 1228L, 1232L, 1236L, 1240L, 1244L, 1248L, 1252L, 1256L, 1260L, 1264L, 1268L, 1272L, 1276L, 1280L, 1284L, 1288L, 1292L, 1296L, 1300L, 1304L, 1308L, 1312L, 1316L, 1320L, 1324L, 1328L, 1332L, 1336L, 1340L, 1344L, 1348L, 1352L, 1356L, 1360L, 1364L, 1368L, 1372L, 1376L, 1380L, 1384L, 1388L, 1392L, 1396L, 1400L, 1404L, 1408L, 1412L, 1416L, 1420L, 1424L, 1428L, 1432L, 1436L, 1440L, 1444L, 1448L, 1452L, 1456L, 1460L, 1464L, 1468L, 1472L, 1476L, 1480L, 1484L, 1488L, 1492L, 1496L, 1500L, 1504L, 1508L, 1512L, 1516L, 1520L, 1524L, 1528L, 1532L, 1536L, 1540L, 1544L, 1548L, 1552L, 1556L, 1560L, 1564L, 1568L, 1572L, 1576L, 1580L, 1584L, 1588L, 1592L, 1596L, 1600L, 1604L, 1608L, 1612L, 1616L, 1620L, 1624L, 1628L, 1632L, 1636L, 1640L, 1644L, 1648L, 1652L, 1656L, 1660L, 1664L, 1668L, 1672L, 1676L, 1680L, 1684L, 1688L, 1692L, 1696L, 1700L, 1704L, 1708L, 1712L, 1716L, 1720L, 1724L, 1728L, 1732L, 1736L, 1740L, 1744L, 1748L, 1752L, 1756L, 1760L, 1764L, 1768L, 1772L, 1776L, 1780L, 1784L, 1788L, 1792L, 1796L, 1800L, 1804L, 1808L, 1812L, 1816L, 1820L, 1824L, 1828L, 1832L, 1836L, 1840L, 1844L, 1848L, 1852L, 1856L, 1860L, 1864L, 1868L, 1872L, 1876L, 1880L, 1884L, 1888L, 1892L, 1896L, 1900L, 1904L, 1908L, 1912L, 1916L, 1920L, 1924L, 1928L, 1932L, 1936L, 1940L, 1944L, 1948L, 1952L, 1956L, 1960L, 1964L, 1968L, 1972L, 1976L, 1980L, 1984L, 1988L, 1992L, 1996L, 2000L, 2004L, 2008L, 2012L, 2016L, 2020L, 2024L, 2028L, 2032L, 2036L, 2040L, 2044L, 2048L, 2052L, 2056L, 2060L, 2064L, 2068L, 2072L, 2076L, 2080L, 2084L, 2088L, 2092L, 2096L, 2100L, 2104L, 2108L, 2112L, 2116L, 2120L, 2124L, 2128L, 2132L, 2136L, 2140L, 2144L, 2148L, 2152L, 2156L, 2160L, 2164L, 2168L, 2172L, 2176L, 2180L, 2184L, 2188L, 2192L, 2196L, 2200L, 2204L, 2208L, 2212L, 2216L, 2220L, 2224L, 2228L, 2232L, 2236L, 2240L, 2244L, 2248L, 2252L, 2256L, 2260L, 2264L, 2268L, 2272L, 2276L, 2280L, 2284L, 2288L, 2292L, 2296L, 2300L, 2304L, 2308L, 2312L, 2316L, 2320L, 2324L, 2328L, 2332L, 2336L, 2340L, 2344L, 2348L, 2352L, 2356L, 2360L, 2364L, 2368L, 2372L, 2376L, 2380L, 2384L, 2388L, 2392L, 2396L, 2400L, 2404L, 2408L, 2412L, 2416L, 2420L, 2424L, 2428L, 2432L, 2436L, 2440L, 2444L, 2448L, 2452L, 2456L, 2460L, 2464L, 2468L, 2472L, 2476L, 2480L, 2484L, 2488L, 2492L, 2496L, 2500L, 2504L, 2508L, 2512L, 2516L, 2520L, 2524L, 2528L, 2532L, 2536L, 2540L, 2544L, 2548L, 2552L, 2556L, 2560L, 2564L, 2568L, 2572L, 2576L, 2580L, 2584L, 2588L, 2592L, 2596L, 2600L, 2604L, 2608L, 2612L, 2616L, 2620L, 2624L, 2628L, 2632L, 2636L, 2640L, 2644L, 2648L, 2652L, 2656L, 2660L, 2664L, 2668L, 2672L, 2676L, 2680L, 2684L, 2688L, 2692L, 2696L, 2700L, 2704L, 2708L, 2712L, 2716L, 2720L, 2724L, 2728L, 2732L, 2736L, 2740L, 2744L, 2748L, 2752L, 2756L, 2760L, 2764L, 2768L, 2772L, 2776L, 2780L, 2784L, 2788L, 2792L, 2796L, 2800L, 2804L, 2808L, 2812L, 2816L, 2820L, 2824L, 2828L, 2832L, 2836L, 2840L, 2844L, 2848L, 2852L, 2856L, 2860L, 2864L, 2868L, 2872L, 2876L, 2880L, 2884L, 2888L, 2892L, 2896L, 2900L, 2904L, 2908L, 2912L, 2916L, 2920L, 2924L, 2928L, 2932L, 2936L, 2940L, 2944L, 2948L, 2952L, 2956L, 2960L, 2964L, 2968L, 2972L, 2976L, 2980L, 2984L, 2988L, 2992L, 2996L, 3000L, 3004L, 3008L, 3012L, 3016L, 3020L, 3024L, 3028L, 3032L, 3036L, 3040L, 3044L, 3048L, 3052L, 3056L, 3060L, 3064L, 3068L, 3072L, 3076L, 3080L, 3084L, 3088L, 3092L, 3096L, 3100L, 3104L, 3108L, 3112L, 3116L, 3120L, 3124L, 3128L, 3132L, 3136L, 3140L, 3144L, 3148L, 3152L, 3156L, 3160L, 3164L, 3168L, 3172L, 3176L, 3180L, 3184L, 3188L, 3192L, 3196L, 3200L, 3204L, 3208L, 3212L, 3216L, 3220L, 3224L, 3228L, 3232L, 3236L, 3240L, 3244L, 3248L, 3252L, 3256L, 3260L, 3264L, 3268L, 3272L, 3276L, 3280L, 3284L, 3288L, 3292L, 3296L, 3300L, 3304L, 3308L, 3312L, 3316L, 3320L, 3324L, 3328L, 3332L, 3336L, 3340L, 3344L, 3348L, 3352L, 3356L, 3360L, 3364L, 3368L, 3372L, 3376L, 3380L, 3384L, 3388L, 3392L, 3396L, 3400L, 3404L, 3408L, 3412L, 3416L, 3420L, 3424L, 3428L, 3432L, 3436L, 3440L, 3444L, 3448L, 3452L, 3456L, 3460L, 3464L, 3468L, 3472L, 3476L, 3480L, 3484L, 3488L, 3492L, 3496L, 3500L, 3504L, 3508L, 3512L, 3516L, 3520L, 3524L, 3528L, 3532L, 3536L, 3540L, 3544L, 3548L, 3552L, 3556L, 3560L, 3564L, 3568L, 3572L, 3576L, 3580L, 3584L, 3588L, 3592L, 3596L, 3600L, 3604L, 3608L, 3612L, 3616L, 3620L, 3624L, 3628L, 3632L, 3636L, 3640L, 3644L, 3648L, 3652L, 3656L, 3660L, 3664L, 3668L, 3672L, 3676L, 3680L, 3684L, 3688L, 3692L, 3696L, 3700L, 3704L, 3708L, 3712L, 3716L, 3720L, 3724L, 3728L, 3732L, 3736L, 3740L, 3744L, 3748L, 3752L, 3756L, 3760L, 3764L, 3768L, 3772L, 3776L, 3780L, 3784L, 3788L, 3792L, 3796L, 3800L, 3804L, 3808L, 3812L, 3816L, 3820L, 3824L, 3828L, 3832L, 3836L, 3840L, 3844L, 3848L, 3852L, 3856L, 3860L, 3864L, 3868L, 3872L, 3876L, 3880L, 3884L, 3888L, 3892L, 3896L, 3900L, 3904L, 3908L, 3912L, 3916L, 3920L, 3924L, 3928L, 3932L, 3936L, 3940L, 3944L, 3948L, 3952L, 3956L, 3960L, 3964L, 3968L, 3972L, 3976L, 3980L, 3984L, 3988L, 3992L, 3996L, 4000L, 4004L, 4008L, 4012L, 4016L, 4020L, 4024L, 4028L, 4032L, 4036L, 4040L, 4044L, 4048L, 4052L, 4056L, 4060L, 4064L, 4068L, 4072L, 4076L, 4080L, 4084L, 4088L, 4092L, 4096L, 4100L, 4104L, 4108L, 4112L, 4116L, 4120L, 4124L, 4128L, 4132L, 4136L, 4140L, 4144L, 4148L, 4152L, 4156L, 4160L, 4164L, 4168L, 4172L, 4176L, 4180L, 4184L, 4188L, 4192L, 4196L, 4200L, 4204L, 4208L, 4212L, 4216L, 4220L, 4224L, 4228L, 4232L, 4236L, 4240L, 4244L, 4248L, 4252L, 4256L, 4260L, 4264L, 4268L, 4272L, 4276L, 4280L, 4284L, 4288L, 4292L, 4296L, 4300L, 4304L, 4308L, 4312L, 4316L, 4320L, 4324L, 4328L, 4332L, 4336L, 4340L, 4344L, 4348L, 4352L, 4356L, 4360L, 4364L, 4368L, 4372L, 4376L, 4380L, 4384L, 4388L, 4392L, 4396L, 4400L, 4404L, 4408L, 4412L, 4416L, 4420L, 4424L, 4428L, 4432L, 4436L, 4440L, 4444L, 4448L, 4452L, 4456L, 4460L, 4464L, 4468L, 4472L, 4476L, 4480L, 4484L, 4488L, 4492L, 4496L, 4500L, 4504L, 4508L, 4512L, 4516L, 4520L, 4524L, 4528L, 4532L, 4536L, 4540L, 4544L, 4548L, 4552L, 4556L, 4560L, 4564L, 4568L, 4572L, 4576L, 4580L, 4584L, 4588L, 4592L, 4596L, 4600L, 4604L, 4608L, 4612L, 4616L, 4620L, 4624L, 4628L, 4632L, 4636L, 4640L, 4644L, 4648L, 4652L, 4656L, 4660L, 4664L, 4668L, 4672L, 4676L, 4680L, 4684L, 4688L, 4692L, 4696L, 4700L, 4704L, 4708L, 4712L, 4716L, 4720L, 4724L, 4728L, 4732L, 4736L, 4740L, 4744L, 4748L, 4752L, 4756L, 4760L, 4764L, 4768L, 4772L, 4776L, 4780L, 4784L, 4788L, 4792L, 4796L, 4800L, 4804L, 4808L, 4812L, 4816L, 4820L, 4824L, 4828L, 4832L, 4836L, 4840L, 4844L, 4848L, 4852L, 4856L, 4860L, 4864L, 4868L, 4872L, 4876L, 4880L, 4884L, 4888L, 4892L, 4896L ), Dim = c(288L, 1224L), Dimnames = list(c("1", "1", "1", "1", "2", "2", "2", "2", "3", "3", "3", "3", "4", "4", "4", "4", "5", "5", "5", "5", "6", "6", "6", "6", "7", "7", "7", "7", "8", "8", "8", "8", "9", "9", "9", "9", "10", "10", "10", "10", "11", "11", "11", "11", "12", "12", "12", "12", "13", "13", "13", "13", "14", "14", "14", "14", "15", "15", "15", "15", "16", "16", "16", "16", "17", "17", "17", "17", "18", "18", "18", "18", "19", "19", "19", "19", "20", "20", "20", "20", "21", "21", "21", "21", "22", "22", "22", "22", "23", "23", "23", "23", "24", "24", "24", "24", "25", "25", "25", "25", "26", "26", "26", "26", "27", "27", "27", "27", "28", "28", "28", "28", "29", "29", "29", "29", "30", "30", "30", "30", "31", "31", "31", "31", "32", "32", "32", "32", "33", "33", "33", "33", "34", "34", "34", "34", "35", "35", "35", "35", "36", "36", "36", "36", "37", "37", "37", "37", "38", 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8: do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X)))
9: (function (fr, X, reTrms, REML = TRUE, start = NULL, verbose = 0, control = lmerControl(), ...) { p <- ncol(X) rho <- new.env(parent = parent.env(environment())) rho$pp <- do.call(merPredD$new, c(reTrms[c("Zt", "theta", "Lambdat", "Lind")], n = nrow(X), list(X = X))) REMLpass <- if (REML) p else 0L rho$resp <- if (missing(fr)) mkRespMod(REML = REMLpass, ...) else mkRespMod(fr, REML = REMLpass) pp <- resp <- NULL rho$lmer_Deviance <- lmer_Deviance devfun <- function(theta) .Call(lmer_Deviance, pp$ptr(), resp$ptr(), as.double(theta)) environment(devfun) <- rho if (is.null(start) && all(reTrms$cnms == "(Intercept)") && length(reTrms$flist) == length(reTrms$lower) && !is.null(y <- model.response(fr))) { v <- sapply(reTrms$flist, function(f) var(ave(y, f))) v.e <- var(y) - sum(v) if (!is.na(v.e) && v.e > 0) { v.rel <- v/v.e if (all(v.rel >= reTrms$lower^2)) rho$pp$setTheta(sqrt(v.rel)) } } if (length(rho$resp$y) > 0) devfun(rho$pp$theta) rho$lower <- reTrms$lower devfun})(fr = list(y = 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10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L), A2 = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), sp = c(0.339530379590361, 0.357214128320679, 0.374316374142787, 0.38990178046952, 0.407757382069291, 0.422273976439827, 0.44046588726027, 0.456741115817176, 0.472272423329908, 0.48933351693214, 0.50394493400714, 0.517094965930856, 0.528280642800656, 0.539654294187779, 0.551882984380053, 0.559684072752783, 0.584501540460867, 0.339530379590361, 0.357214128320679, 0.374316374142787, 0.38990178046952, 0.407757382069291, 0.422273976439827, 0.44046588726027, 0.456741115817176, 0.472272423329908, 0.48933351693214, 0.50394493400714, 0.517094965930856, 0.528280642800656, 0.539654294187779, 0.551882984380053, 0.559684072752783, 0.584501540460867, 0.339821117981747, 0.3566226724869, 0.372192334294817, 0.388333291394643, 0.407136931939644, 0.42279308935756, 0.440266688807603, 0.456250807413933, 0.472975008142524, 0.488962729089508, 0.504056146513083, 0.517738798393247, 0.528812720857051, 0.540026963005337, 0.551529256269161, 0.560972091344456, 0.584555256123203, 0.339821117981747, 0.3566226724869, 0.372192334294817, 0.388333291394643, 0.407136931939644, 0.42279308935756, 0.440266688807603, 0.456250807413933, 0.472975008142524, 0.488962729089508, 0.504056146513083, 0.517738798393247, 0.528812720857051, 0.540026963005337, 0.551529256269161, 0.560972091344456, 0.584555256123203, 0.339530379590361, 0.357214128320679, 0.374316374142787, 0.38990178046952, 0.407757382069291, 0.422273976439827, 0.44046588726027, 0.456741115817176, 0.472272423329908, 0.48933351693214, 0.50394493400714, 0.517094965930856, 0.528280642800656, 0.539654294187779, 0.551882984380053, 0.559684072752783, 0.584501540460867, 0.339530379590361, 0.357214128320679, 0.374316374142787, 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0.456250807413933, 0.472975008142524, 0.488962729089508, 0.504056146513083, 0.517738798393247, 0.528812720857051, 0.540026963005337, 0.551529256269161, 0.560972091344456, 0.584555256123203, 0.339821117981747, 0.3566226724869, 0.372192334294817, 0.388333291394643, 0.407136931939644, 0.42279308935756, 0.440266688807603, 0.456250807413933, 0.472975008142524, 0.488962729089508, 0.504056146513083, 0.517738798393247, 0.528812720857051, 0.540026963005337, 0.551529256269161, 0.560972091344456, 0.584555256123203, 0.339821117981747, 0.3566226724869, 0.372192334294817, 0.388333291394643, 0.407136931939644, 0.42279308935756, 0.440266688807603, 0.456250807413933, 0.472975008142524, 0.488962729089508, 0.504056146513083, 0.517738798393247, 0.528812720857051, 0.540026963005337, 0.551529256269161, 0.560972091344456, 0.584555256123203, 0.339530379590361, 0.357214128320679, 0.374316374142787, 0.38990178046952, 0.407757382069291, 0.422273976439827, 0.44046588726027, 0.456741115817176, 0.472272423329908, 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250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 248L, 249L, 250L, 251L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 252L, 253L, 254L, 255L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 256L, 257L, 258L, 259L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 260L, 261L, 262L, 263L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 264L, 265L, 266L, 267L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L), p = c(0L, 4L, 8L, 12L, 16L, 20L, 24L, 28L, 32L, 36L, 40L, 44L, 48L, 52L, 56L, 60L, 64L, 68L, 72L, 76L, 80L, 84L, 88L, 92L, 96L, 100L, 104L, 108L, 112L, 116L, 120L, 124L, 128L, 132L, 136L, 140L, 144L, 148L, 152L, 156L, 160L, 164L, 168L, 172L, 176L, 180L, 184L, 188L, 192L, 196L, 200L, 204L, 208L, 212L, 216L, 220L, 224L, 228L, 232L, 236L, 240L, 244L, 248L, 252L, 256L, 260L, 264L, 268L, 272L, 276L, 280L, 284L, 288L, 292L, 296L, 300L, 304L, 308L, 312L, 316L, 320L, 324L, 328L, 332L, 336L, 340L, 344L, 348L, 352L, 356L, 360L, 364L, 368L, 372L, 376L, 380L, 384L, 388L, 392L, 396L, 400L, 404L, 408L, 412L, 416L, 420L, 424L, 428L, 432L, 436L, 440L, 444L, 448L, 452L, 456L, 460L, 464L, 468L, 472L, 476L, 480L, 484L, 488L, 492L, 496L, 500L, 504L, 508L, 512L, 516L, 520L, 524L, 528L, 532L, 536L, 540L, 544L, 548L, 552L, 556L, 560L, 564L, 568L, 572L, 576L, 580L, 584L, 588L, 592L, 596L, 600L, 604L, 608L, 612L, 616L, 620L, 624L, 628L, 632L, 636L, 640L, 644L, 648L, 652L, 656L, 660L, 664L, 668L, 672L, 676L, 680L, 684L, 688L, 692L, 696L, 700L, 704L, 708L, 712L, 716L, 720L, 724L, 728L, 732L, 736L, 740L, 744L, 748L, 752L, 756L, 760L, 764L, 768L, 772L, 776L, 780L, 784L, 788L, 792L, 796L, 800L, 804L, 808L, 812L, 816L, 820L, 824L, 828L, 832L, 836L, 840L, 844L, 848L, 852L, 856L, 860L, 864L, 868L, 872L, 876L, 880L, 884L, 888L, 892L, 896L, 900L, 904L, 908L, 912L, 916L, 920L, 924L, 928L, 932L, 936L, 940L, 944L, 948L, 952L, 956L, 960L, 964L, 968L, 972L, 976L, 980L, 984L, 988L, 992L, 996L, 1000L, 1004L, 1008L, 1012L, 1016L, 1020L, 1024L, 1028L, 1032L, 1036L, 1040L, 1044L, 1048L, 1052L, 1056L, 1060L, 1064L, 1068L, 1072L, 1076L, 1080L, 1084L, 1088L, 1092L, 1096L, 1100L, 1104L, 1108L, 1112L, 1116L, 1120L, 1124L, 1128L, 1132L, 1136L, 1140L, 1144L, 1148L, 1152L, 1156L, 1160L, 1164L, 1168L, 1172L, 1176L, 1180L, 1184L, 1188L, 1192L, 1196L, 1200L, 1204L, 1208L, 1212L, 1216L, 1220L, 1224L, 1228L, 1232L, 1236L, 1240L, 1244L, 1248L, 1252L, 1256L, 1260L, 1264L, 1268L, 1272L, 1276L, 1280L, 1284L, 1288L, 1292L, 1296L, 1300L, 1304L, 1308L, 1312L, 1316L, 1320L, 1324L, 1328L, 1332L, 1336L, 1340L, 1344L, 1348L, 1352L, 1356L, 1360L, 1364L, 1368L, 1372L, 1376L, 1380L, 1384L, 1388L, 1392L, 1396L, 1400L, 1404L, 1408L, 1412L, 1416L, 1420L, 1424L, 1428L, 1432L, 1436L, 1440L, 1444L, 1448L, 1452L, 1456L, 1460L, 1464L, 1468L, 1472L, 1476L, 1480L, 1484L, 1488L, 1492L, 1496L, 1500L, 1504L, 1508L, 1512L, 1516L, 1520L, 1524L, 1528L, 1532L, 1536L, 1540L, 1544L, 1548L, 1552L, 1556L, 1560L, 1564L, 1568L, 1572L, 1576L, 1580L, 1584L, 1588L, 1592L, 1596L, 1600L, 1604L, 1608L, 1612L, 1616L, 1620L, 1624L, 1628L, 1632L, 1636L, 1640L, 1644L, 1648L, 1652L, 1656L, 1660L, 1664L, 1668L, 1672L, 1676L, 1680L, 1684L, 1688L, 1692L, 1696L, 1700L, 1704L, 1708L, 1712L, 1716L, 1720L, 1724L, 1728L, 1732L, 1736L, 1740L, 1744L, 1748L, 1752L, 1756L, 1760L, 1764L, 1768L, 1772L, 1776L, 1780L, 1784L, 1788L, 1792L, 1796L, 1800L, 1804L, 1808L, 1812L, 1816L, 1820L, 1824L, 1828L, 1832L, 1836L, 1840L, 1844L, 1848L, 1852L, 1856L, 1860L, 1864L, 1868L, 1872L, 1876L, 1880L, 1884L, 1888L, 1892L, 1896L, 1900L, 1904L, 1908L, 1912L, 1916L, 1920L, 1924L, 1928L, 1932L, 1936L, 1940L, 1944L, 1948L, 1952L, 1956L, 1960L, 1964L, 1968L, 1972L, 1976L, 1980L, 1984L, 1988L, 1992L, 1996L, 2000L, 2004L, 2008L, 2012L, 2016L, 2020L, 2024L, 2028L, 2032L, 2036L, 2040L, 2044L, 2048L, 2052L, 2056L, 2060L, 2064L, 2068L, 2072L, 2076L, 2080L, 2084L, 2088L, 2092L, 2096L, 2100L, 2104L, 2108L, 2112L, 2116L, 2120L, 2124L, 2128L, 2132L, 2136L, 2140L, 2144L, 2148L, 2152L, 2156L, 2160L, 2164L, 2168L, 2172L, 2176L, 2180L, 2184L, 2188L, 2192L, 2196L, 2200L, 2204L, 2208L, 2212L, 2216L, 2220L, 2224L, 2228L, 2232L, 2236L, 2240L, 2244L, 2248L, 2252L, 2256L, 2260L, 2264L, 2268L, 2272L, 2276L, 2280L, 2284L, 2288L, 2292L, 2296L, 2300L, 2304L, 2308L, 2312L, 2316L, 2320L, 2324L, 2328L, 2332L, 2336L, 2340L, 2344L, 2348L, 2352L, 2356L, 2360L, 2364L, 2368L, 2372L, 2376L, 2380L, 2384L, 2388L, 2392L, 2396L, 2400L, 2404L, 2408L, 2412L, 2416L, 2420L, 2424L, 2428L, 2432L, 2436L, 2440L, 2444L, 2448L, 2452L, 2456L, 2460L, 2464L, 2468L, 2472L, 2476L, 2480L, 2484L, 2488L, 2492L, 2496L, 2500L, 2504L, 2508L, 2512L, 2516L, 2520L, 2524L, 2528L, 2532L, 2536L, 2540L, 2544L, 2548L, 2552L, 2556L, 2560L, 2564L, 2568L, 2572L, 2576L, 2580L, 2584L, 2588L, 2592L, 2596L, 2600L, 2604L, 2608L, 2612L, 2616L, 2620L, 2624L, 2628L, 2632L, 2636L, 2640L, 2644L, 2648L, 2652L, 2656L, 2660L, 2664L, 2668L, 2672L, 2676L, 2680L, 2684L, 2688L, 2692L, 2696L, 2700L, 2704L, 2708L, 2712L, 2716L, 2720L, 2724L, 2728L, 2732L, 2736L, 2740L, 2744L, 2748L, 2752L, 2756L, 2760L, 2764L, 2768L, 2772L, 2776L, 2780L, 2784L, 2788L, 2792L, 2796L, 2800L, 2804L, 2808L, 2812L, 2816L, 2820L, 2824L, 2828L, 2832L, 2836L, 2840L, 2844L, 2848L, 2852L, 2856L, 2860L, 2864L, 2868L, 2872L, 2876L, 2880L, 2884L, 2888L, 2892L, 2896L, 2900L, 2904L, 2908L, 2912L, 2916L, 2920L, 2924L, 2928L, 2932L, 2936L, 2940L, 2944L, 2948L, 2952L, 2956L, 2960L, 2964L, 2968L, 2972L, 2976L, 2980L, 2984L, 2988L, 2992L, 2996L, 3000L, 3004L, 3008L, 3012L, 3016L, 3020L, 3024L, 3028L, 3032L, 3036L, 3040L, 3044L, 3048L, 3052L, 3056L, 3060L, 3064L, 3068L, 3072L, 3076L, 3080L, 3084L, 3088L, 3092L, 3096L, 3100L, 3104L, 3108L, 3112L, 3116L, 3120L, 3124L, 3128L, 3132L, 3136L, 3140L, 3144L, 3148L, 3152L, 3156L, 3160L, 3164L, 3168L, 3172L, 3176L, 3180L, 3184L, 3188L, 3192L, 3196L, 3200L, 3204L, 3208L, 3212L, 3216L, 3220L, 3224L, 3228L, 3232L, 3236L, 3240L, 3244L, 3248L, 3252L, 3256L, 3260L, 3264L, 3268L, 3272L, 3276L, 3280L, 3284L, 3288L, 3292L, 3296L, 3300L, 3304L, 3308L, 3312L, 3316L, 3320L, 3324L, 3328L, 3332L, 3336L, 3340L, 3344L, 3348L, 3352L, 3356L, 3360L, 3364L, 3368L, 3372L, 3376L, 3380L, 3384L, 3388L, 3392L, 3396L, 3400L, 3404L, 3408L, 3412L, 3416L, 3420L, 3424L, 3428L, 3432L, 3436L, 3440L, 3444L, 3448L, 3452L, 3456L, 3460L, 3464L, 3468L, 3472L, 3476L, 3480L, 3484L, 3488L, 3492L, 3496L, 3500L, 3504L, 3508L, 3512L, 3516L, 3520L, 3524L, 3528L, 3532L, 3536L, 3540L, 3544L, 3548L, 3552L, 3556L, 3560L, 3564L, 3568L, 3572L, 3576L, 3580L, 3584L, 3588L, 3592L, 3596L, 3600L, 3604L, 3608L, 3612L, 3616L, 3620L, 3624L, 3628L, 3632L, 3636L, 3640L, 3644L, 3648L, 3652L, 3656L, 3660L, 3664L, 3668L, 3672L, 3676L, 3680L, 3684L, 3688L, 3692L, 3696L, 3700L, 3704L, 3708L, 3712L, 3716L, 3720L, 3724L, 3728L, 3732L, 3736L, 3740L, 3744L, 3748L, 3752L, 3756L, 3760L, 3764L, 3768L, 3772L, 3776L, 3780L, 3784L, 3788L, 3792L, 3796L, 3800L, 3804L, 3808L, 3812L, 3816L, 3820L, 3824L, 3828L, 3832L, 3836L, 3840L, 3844L, 3848L, 3852L, 3856L, 3860L, 3864L, 3868L, 3872L, 3876L, 3880L, 3884L, 3888L, 3892L, 3896L, 3900L, 3904L, 3908L, 3912L, 3916L, 3920L, 3924L, 3928L, 3932L, 3936L, 3940L, 3944L, 3948L, 3952L, 3956L, 3960L, 3964L, 3968L, 3972L, 3976L, 3980L, 3984L, 3988L, 3992L, 3996L, 4000L, 4004L, 4008L, 4012L, 4016L, 4020L, 4024L, 4028L, 4032L, 4036L, 4040L, 4044L, 4048L, 4052L, 4056L, 4060L, 4064L, 4068L, 4072L, 4076L, 4080L, 4084L, 4088L, 4092L, 4096L, 4100L, 4104L, 4108L, 4112L, 4116L, 4120L, 4124L, 4128L, 4132L, 4136L, 4140L, 4144L, 4148L, 4152L, 4156L, 4160L, 4164L, 4168L, 4172L, 4176L, 4180L, 4184L, 4188L, 4192L, 4196L, 4200L, 4204L, 4208L, 4212L, 4216L, 4220L, 4224L, 4228L, 4232L, 4236L, 4240L, 4244L, 4248L, 4252L, 4256L, 4260L, 4264L, 4268L, 4272L, 4276L, 4280L, 4284L, 4288L, 4292L, 4296L, 4300L, 4304L, 4308L, 4312L, 4316L, 4320L, 4324L, 4328L, 4332L, 4336L, 4340L, 4344L, 4348L, 4352L, 4356L, 4360L, 4364L, 4368L, 4372L, 4376L, 4380L, 4384L, 4388L, 4392L, 4396L, 4400L, 4404L, 4408L, 4412L, 4416L, 4420L, 4424L, 4428L, 4432L, 4436L, 4440L, 4444L, 4448L, 4452L, 4456L, 4460L, 4464L, 4468L, 4472L, 4476L, 4480L, 4484L, 4488L, 4492L, 4496L, 4500L, 4504L, 4508L, 4512L, 4516L, 4520L, 4524L, 4528L, 4532L, 4536L, 4540L, 4544L, 4548L, 4552L, 4556L, 4560L, 4564L, 4568L, 4572L, 4576L, 4580L, 4584L, 4588L, 4592L, 4596L, 4600L, 4604L, 4608L, 4612L, 4616L, 4620L, 4624L, 4628L, 4632L, 4636L, 4640L, 4644L, 4648L, 4652L, 4656L, 4660L, 4664L, 4668L, 4672L, 4676L, 4680L, 4684L, 4688L, 4692L, 4696L, 4700L, 4704L, 4708L, 4712L, 4716L, 4720L, 4724L, 4728L, 4732L, 4736L, 4740L, 4744L, 4748L, 4752L, 4756L, 4760L, 4764L, 4768L, 4772L, 4776L, 4780L, 4784L, 4788L, 4792L, 4796L, 4800L, 4804L, 4808L, 4812L, 4816L, 4820L, 4824L, 4828L, 4832L, 4836L, 4840L, 4844L, 4848L, 4852L, 4856L, 4860L, 4864L, 4868L, 4872L, 4876L, 4880L, 4884L, 4888L, 4892L, 4896L), Dim = c(288L, 1224L), Dimnames = list(c("1", "1", "1", "1", "2", "2", "2", "2", "3", "3", "3", "3", "4", "4", "4", "4", "5", "5", "5", "5", "6", "6", "6", "6", "7", "7", "7", "7", "8", "8", "8", "8", "9", "9", "9", "9", "10", "10", "10", "10", "11", "11", "11", "11", "12", "12", "12", "12", "13", "13", "13", "13", "14", "14", "14", "14", "15", "15", "15", "15", "16", "16", "16", "16", "17", "17", "17", "17", "18", "18", "18", "18", "19", "19", "19", "19", "20", "20", "20", "20", "21", "21", "21", "21", "22", "22", "22", "22", "23", "23", "23", "23", "24", "24", "24", "24", "25", "25", "25", "25", "26", "26", "26", "26", "27", "27", "27", "27", "28", "28", 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2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L, 1L, 2L, 5L, 3L, 6L, 8L, 4L, 7L, 9L, 10L), Gp = c(0L, 288L), lower = c(0, -Inf, -Inf, -Inf, 0, -Inf, 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78L, 76L, 77L, 78L, 79L, 80L, 80L, 81L, 80L, 81L, 82L, 80L, 81L, 82L, 83L, 84L, 84L, 85L, 84L, 85L, 86L, 84L, 85L, 86L, 87L, 88L, 88L, 89L, 88L, 89L, 90L, 88L, 89L, 90L, 91L, 92L, 92L, 93L, 92L, 93L, 94L, 92L, 93L, 94L, 95L, 96L, 96L, 97L, 96L, 97L, 98L, 96L, 97L, 98L, 99L, 100L, 100L, 101L, 100L, 101L, 102L, 100L, 101L, 102L, 103L, 104L, 104L, 105L, 104L, 105L, 106L, 104L, 105L, 106L, 107L, 108L, 108L, 109L, 108L, 109L, 110L, 108L, 109L, 110L, 111L, 112L, 112L, 113L, 112L, 113L, 114L, 112L, 113L, 114L, 115L, 116L, 116L, 117L, 116L, 117L, 118L, 116L, 117L, 118L, 119L, 120L, 120L, 121L, 120L, 121L, 122L, 120L, 121L, 122L, 123L, 124L, 124L, 125L, 124L, 125L, 126L, 124L, 125L, 126L, 127L, 128L, 128L, 129L, 128L, 129L, 130L, 128L, 129L, 130L, 131L, 132L, 132L, 133L, 132L, 133L, 134L, 132L, 133L, 134L, 135L, 136L, 136L, 137L, 136L, 137L, 138L, 136L, 137L, 138L, 139L, 140L, 140L, 141L, 140L, 141L, 142L, 140L, 141L, 142L, 143L, 144L, 144L, 145L, 144L, 145L, 146L, 144L, 145L, 146L, 147L, 148L, 148L, 149L, 148L, 149L, 150L, 148L, 149L, 150L, 151L, 152L, 152L, 153L, 152L, 153L, 154L, 152L, 153L, 154L, 155L, 156L, 156L, 157L, 156L, 157L, 158L, 156L, 157L, 158L, 159L, 160L, 160L, 161L, 160L, 161L, 162L, 160L, 161L, 162L, 163L, 164L, 164L, 165L, 164L, 165L, 166L, 164L, 165L, 166L, 167L, 168L, 168L, 169L, 168L, 169L, 170L, 168L, 169L, 170L, 171L, 172L, 172L, 173L, 172L, 173L, 174L, 172L, 173L, 174L, 175L, 176L, 176L, 177L, 176L, 177L, 178L, 176L, 177L, 178L, 179L, 180L, 180L, 181L, 180L, 181L, 182L, 180L, 181L, 182L, 183L, 184L, 184L, 185L, 184L, 185L, 186L, 184L, 185L, 186L, 187L, 188L, 188L, 189L, 188L, 189L, 190L, 188L, 189L, 190L, 191L, 192L, 192L, 193L, 192L, 193L, 194L, 192L, 193L, 194L, 195L, 196L, 196L, 197L, 196L, 197L, 198L, 196L, 197L, 198L, 199L, 200L, 200L, 201L, 200L, 201L, 202L, 200L, 201L, 202L, 203L, 204L, 204L, 205L, 204L, 205L, 206L, 204L, 205L, 206L, 207L, 208L, 208L, 209L, 208L, 209L, 210L, 208L, 209L, 210L, 211L, 212L, 212L, 213L, 212L, 213L, 214L, 212L, 213L, 214L, 215L, 216L, 216L, 217L, 216L, 217L, 218L, 216L, 217L, 218L, 219L, 220L, 220L, 221L, 220L, 221L, 222L, 220L, 221L, 222L, 223L, 224L, 224L, 225L, 224L, 225L, 226L, 224L, 225L, 226L, 227L, 228L, 228L, 229L, 228L, 229L, 230L, 228L, 229L, 230L, 231L, 232L, 232L, 233L, 232L, 233L, 234L, 232L, 233L, 234L, 235L, 236L, 236L, 237L, 236L, 237L, 238L, 236L, 237L, 238L, 239L, 240L, 240L, 241L, 240L, 241L, 242L, 240L, 241L, 242L, 243L, 244L, 244L, 245L, 244L, 245L, 246L, 244L, 245L, 246L, 247L, 248L, 248L, 249L, 248L, 249L, 250L, 248L, 249L, 250L, 251L, 252L, 252L, 253L, 252L, 253L, 254L, 252L, 253L, 254L, 255L, 256L, 256L, 257L, 256L, 257L, 258L, 256L, 257L, 258L, 259L, 260L, 260L, 261L, 260L, 261L, 262L, 260L, 261L, 262L, 263L, 264L, 264L, 265L, 264L, 265L, 266L, 264L, 265L, 266L, 267L, 268L, 268L, 269L, 268L, 269L, 270L, 268L, 269L, 270L, 271L, 272L, 272L, 273L, 272L, 273L, 274L, 272L, 273L, 274L, 275L, 276L, 276L, 277L, 276L, 277L, 278L, 276L, 277L, 278L, 279L, 280L, 280L, 281L, 280L, 281L, 282L, 280L, 281L, 282L, 283L, 284L, 284L, 285L, 284L, 285L, 286L, 284L, 285L, 286L, 287L), p = c(0L, 1L, 3L, 6L, 10L, 11L, 13L, 16L, 20L, 21L, 23L, 26L, 30L, 31L, 33L, 36L, 40L, 41L, 43L, 46L, 50L, 51L, 53L, 56L, 60L, 61L, 63L, 66L, 70L, 71L, 73L, 76L, 80L, 81L, 83L, 86L, 90L, 91L, 93L, 96L, 100L, 101L, 103L, 106L, 110L, 111L, 113L, 116L, 120L, 121L, 123L, 126L, 130L, 131L, 133L, 136L, 140L, 141L, 143L, 146L, 150L, 151L, 153L, 156L, 160L, 161L, 163L, 166L, 170L, 171L, 173L, 176L, 180L, 181L, 183L, 186L, 190L, 191L, 193L, 196L, 200L, 201L, 203L, 206L, 210L, 211L, 213L, 216L, 220L, 221L, 223L, 226L, 230L, 231L, 233L, 236L, 240L, 241L, 243L, 246L, 250L, 251L, 253L, 256L, 260L, 261L, 263L, 266L, 270L, 271L, 273L, 276L, 280L, 281L, 283L, 286L, 290L, 291L, 293L, 296L, 300L, 301L, 303L, 306L, 310L, 311L, 313L, 316L, 320L, 321L, 323L, 326L, 330L, 331L, 333L, 336L, 340L, 341L, 343L, 346L, 350L, 351L, 353L, 356L, 360L, 361L, 363L, 366L, 370L, 371L, 373L, 376L, 380L, 381L, 383L, 386L, 390L, 391L, 393L, 396L, 400L, 401L, 403L, 406L, 410L, 411L, 413L, 416L, 420L, 421L, 423L, 426L, 430L, 431L, 433L, 436L, 440L, 441L, 443L, 446L, 450L, 451L, 453L, 456L, 460L, 461L, 463L, 466L, 470L, 471L, 473L, 476L, 480L, 481L, 483L, 486L, 490L, 491L, 493L, 496L, 500L, 501L, 503L, 506L, 510L, 511L, 513L, 516L, 520L, 521L, 523L, 526L, 530L, 531L, 533L, 536L, 540L, 541L, 543L, 546L, 550L, 551L, 553L, 556L, 560L, 561L, 563L, 566L, 570L, 571L, 573L, 576L, 580L, 581L, 583L, 586L, 590L, 591L, 593L, 596L, 600L, 601L, 603L, 606L, 610L, 611L, 613L, 616L, 620L, 621L, 623L, 626L, 630L, 631L, 633L, 636L, 640L, 641L, 643L, 646L, 650L, 651L, 653L, 656L, 660L, 661L, 663L, 666L, 670L, 671L, 673L, 676L, 680L, 681L, 683L, 686L, 690L, 691L, 693L, 696L, 700L, 701L, 703L, 706L, 710L, 711L, 713L, 716L, 720L), Dim = c(288L, 288L), Dimnames = list(NULL, NULL), x = c(1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0, 0, 1), factors = list()), flist = list( array.effects = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 14L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 15L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 16L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 17L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 18L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 19L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 20L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 21L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 22L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 23L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 24L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 25L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 26L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 27L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 28L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 29L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 31L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 32L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 33L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 34L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 35L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 36L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 37L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 38L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 39L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 40L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 41L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 42L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 43L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 44L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 45L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 46L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 47L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 48L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 49L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 50L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 51L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 52L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 53L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 54L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 55L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 56L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 57L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 58L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 59L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 60L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 61L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 62L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 63L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 64L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 65L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 66L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 67L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 68L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 69L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 70L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 71L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L, 72L)), cnms = list( array.effects = c("spBt1", "spBt2", "spBt3", "spBt4")), Ztlist = list( `sp - 1 | array.effects` = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 0L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 16L, 17L, 18L, 19L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 20L, 21L, 22L, 23L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 24L, 25L, 26L, 27L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 28L, 29L, 30L, 31L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 40L, 41L, 42L, 43L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 48L, 49L, 50L, 51L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 52L, 53L, 54L, 55L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 56L, 57L, 58L, 59L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 60L, 61L, 62L, 63L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 64L, 65L, 66L, 67L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 70L, 71L, 68L, 69L, 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271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 268L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 272L, 273L, 274L, 275L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 276L, 277L, 278L, 279L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 280L, 281L, 282L, 283L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L, 284L, 285L, 286L, 287L), p = c(0L, 4L, 8L, 12L, 16L, 20L, 24L, 28L, 32L, 36L, 40L, 44L, 48L, 52L, 56L, 60L, 64L, 68L, 72L, 76L, 80L, 84L, 88L, 92L, 96L, 100L, 104L, 108L, 112L, 116L, 120L, 124L, 128L, 132L, 136L, 140L, 144L, 148L, 152L, 156L, 160L, 164L, 168L, 172L, 176L, 180L, 184L, 188L, 192L, 196L, 200L, 204L, 208L, 212L, 216L, 220L, 224L, 228L, 232L, 236L, 240L, 244L, 248L, 252L, 256L, 260L, 264L, 268L, 272L, 276L, 280L, 284L, 288L, 292L, 296L, 300L, 304L, 308L, 312L, 316L, 320L, 324L, 328L, 332L, 336L, 340L, 344L, 348L, 352L, 356L, 360L, 364L, 368L, 372L, 376L, 380L, 384L, 388L, 392L, 396L, 400L, 404L, 408L, 412L, 416L, 420L, 424L, 428L, 432L, 436L, 440L, 444L, 448L, 452L, 456L, 460L, 464L, 468L, 472L, 476L, 480L, 484L, 488L, 492L, 496L, 500L, 504L, 508L, 512L, 516L, 520L, 524L, 528L, 532L, 536L, 540L, 544L, 548L, 552L, 556L, 560L, 564L, 568L, 572L, 576L, 580L, 584L, 588L, 592L, 596L, 600L, 604L, 608L, 612L, 616L, 620L, 624L, 628L, 632L, 636L, 640L, 644L, 648L, 652L, 656L, 660L, 664L, 668L, 672L, 676L, 680L, 684L, 688L, 692L, 696L, 700L, 704L, 708L, 712L, 716L, 720L, 724L, 728L, 732L, 736L, 740L, 744L, 748L, 752L, 756L, 760L, 764L, 768L, 772L, 776L, 780L, 784L, 788L, 792L, 796L, 800L, 804L, 808L, 812L, 816L, 820L, 824L, 828L, 832L, 836L, 840L, 844L, 848L, 852L, 856L, 860L, 864L, 868L, 872L, 876L, 880L, 884L, 888L, 892L, 896L, 900L, 904L, 908L, 912L, 916L, 920L, 924L, 928L, 932L, 936L, 940L, 944L, 948L, 952L, 956L, 960L, 964L, 968L, 972L, 976L, 980L, 984L, 988L, 992L, 996L, 1000L, 1004L, 1008L, 1012L, 1016L, 1020L, 1024L, 1028L, 1032L, 1036L, 1040L, 1044L, 1048L, 1052L, 1056L, 1060L, 1064L, 1068L, 1072L, 1076L, 1080L, 1084L, 1088L, 1092L, 1096L, 1100L, 1104L, 1108L, 1112L, 1116L, 1120L, 1124L, 1128L, 1132L, 1136L, 1140L, 1144L, 1148L, 1152L, 1156L, 1160L, 1164L, 1168L, 1172L, 1176L, 1180L, 1184L, 1188L, 1192L, 1196L, 1200L, 1204L, 1208L, 1212L, 1216L, 1220L, 1224L, 1228L, 1232L, 1236L, 1240L, 1244L, 1248L, 1252L, 1256L, 1260L, 1264L, 1268L, 1272L, 1276L, 1280L, 1284L, 1288L, 1292L, 1296L, 1300L, 1304L, 1308L, 1312L, 1316L, 1320L, 1324L, 1328L, 1332L, 1336L, 1340L, 1344L, 1348L, 1352L, 1356L, 1360L, 1364L, 1368L, 1372L, 1376L, 1380L, 1384L, 1388L, 1392L, 1396L, 1400L, 1404L, 1408L, 1412L, 1416L, 1420L, 1424L, 1428L, 1432L, 1436L, 1440L, 1444L, 1448L, 1452L, 1456L, 1460L, 1464L, 1468L, 1472L, 1476L, 1480L, 1484L, 1488L, 1492L, 1496L, 1500L, 1504L, 1508L, 1512L, 1516L, 1520L, 1524L, 1528L, 1532L, 1536L, 1540L, 1544L, 1548L, 1552L, 1556L, 1560L, 1564L, 1568L, 1572L, 1576L, 1580L, 1584L, 1588L, 1592L, 1596L, 1600L, 1604L, 1608L, 1612L, 1616L, 1620L, 1624L, 1628L, 1632L, 1636L, 1640L, 1644L, 1648L, 1652L, 1656L, 1660L, 1664L, 1668L, 1672L, 1676L, 1680L, 1684L, 1688L, 1692L, 1696L, 1700L, 1704L, 1708L, 1712L, 1716L, 1720L, 1724L, 1728L, 1732L, 1736L, 1740L, 1744L, 1748L, 1752L, 1756L, 1760L, 1764L, 1768L, 1772L, 1776L, 1780L, 1784L, 1788L, 1792L, 1796L, 1800L, 1804L, 1808L, 1812L, 1816L, 1820L, 1824L, 1828L, 1832L, 1836L, 1840L, 1844L, 1848L, 1852L, 1856L, 1860L, 1864L, 1868L, 1872L, 1876L, 1880L, 1884L, 1888L, 1892L, 1896L, 1900L, 1904L, 1908L, 1912L, 1916L, 1920L, 1924L, 1928L, 1932L, 1936L, 1940L, 1944L, 1948L, 1952L, 1956L, 1960L, 1964L, 1968L, 1972L, 1976L, 1980L, 1984L, 1988L, 1992L, 1996L, 2000L, 2004L, 2008L, 2012L, 2016L, 2020L, 2024L, 2028L, 2032L, 2036L, 2040L, 2044L, 2048L, 2052L, 2056L, 2060L, 2064L, 2068L, 2072L, 2076L, 2080L, 2084L, 2088L, 2092L, 2096L, 2100L, 2104L, 2108L, 2112L, 2116L, 2120L, 2124L, 2128L, 2132L, 2136L, 2140L, 2144L, 2148L, 2152L, 2156L, 2160L, 2164L, 2168L, 2172L, 2176L, 2180L, 2184L, 2188L, 2192L, 2196L, 2200L, 2204L, 2208L, 2212L, 2216L, 2220L, 2224L, 2228L, 2232L, 2236L, 2240L, 2244L, 2248L, 2252L, 2256L, 2260L, 2264L, 2268L, 2272L, 2276L, 2280L, 2284L, 2288L, 2292L, 2296L, 2300L, 2304L, 2308L, 2312L, 2316L, 2320L, 2324L, 2328L, 2332L, 2336L, 2340L, 2344L, 2348L, 2352L, 2356L, 2360L, 2364L, 2368L, 2372L, 2376L, 2380L, 2384L, 2388L, 2392L, 2396L, 2400L, 2404L, 2408L, 2412L, 2416L, 2420L, 2424L, 2428L, 2432L, 2436L, 2440L, 2444L, 2448L, 2452L, 2456L, 2460L, 2464L, 2468L, 2472L, 2476L, 2480L, 2484L, 2488L, 2492L, 2496L, 2500L, 2504L, 2508L, 2512L, 2516L, 2520L, 2524L, 2528L, 2532L, 2536L, 2540L, 2544L, 2548L, 2552L, 2556L, 2560L, 2564L, 2568L, 2572L, 2576L, 2580L, 2584L, 2588L, 2592L, 2596L, 2600L, 2604L, 2608L, 2612L, 2616L, 2620L, 2624L, 2628L, 2632L, 2636L, 2640L, 2644L, 2648L, 2652L, 2656L, 2660L, 2664L, 2668L, 2672L, 2676L, 2680L, 2684L, 2688L, 2692L, 2696L, 2700L, 2704L, 2708L, 2712L, 2716L, 2720L, 2724L, 2728L, 2732L, 2736L, 2740L, 2744L, 2748L, 2752L, 2756L, 2760L, 2764L, 2768L, 2772L, 2776L, 2780L, 2784L, 2788L, 2792L, 2796L, 2800L, 2804L, 2808L, 2812L, 2816L, 2820L, 2824L, 2828L, 2832L, 2836L, 2840L, 2844L, 2848L, 2852L, 2856L, 2860L, 2864L, 2868L, 2872L, 2876L, 2880L, 2884L, 2888L, 2892L, 2896L, 2900L, 2904L, 2908L, 2912L, 2916L, 2920L, 2924L, 2928L, 2932L, 2936L, 2940L, 2944L, 2948L, 2952L, 2956L, 2960L, 2964L, 2968L, 2972L, 2976L, 2980L, 2984L, 2988L, 2992L, 2996L, 3000L, 3004L, 3008L, 3012L, 3016L, 3020L, 3024L, 3028L, 3032L, 3036L, 3040L, 3044L, 3048L, 3052L, 3056L, 3060L, 3064L, 3068L, 3072L, 3076L, 3080L, 3084L, 3088L, 3092L, 3096L, 3100L, 3104L, 3108L, 3112L, 3116L, 3120L, 3124L, 3128L, 3132L, 3136L, 3140L, 3144L, 3148L, 3152L, 3156L, 3160L, 3164L, 3168L, 3172L, 3176L, 3180L, 3184L, 3188L, 3192L, 3196L, 3200L, 3204L, 3208L, 3212L, 3216L, 3220L, 3224L, 3228L, 3232L, 3236L, 3240L, 3244L, 3248L, 3252L, 3256L, 3260L, 3264L, 3268L, 3272L, 3276L, 3280L, 3284L, 3288L, 3292L, 3296L, 3300L, 3304L, 3308L, 3312L, 3316L, 3320L, 3324L, 3328L, 3332L, 3336L, 3340L, 3344L, 3348L, 3352L, 3356L, 3360L, 3364L, 3368L, 3372L, 3376L, 3380L, 3384L, 3388L, 3392L, 3396L, 3400L, 3404L, 3408L, 3412L, 3416L, 3420L, 3424L, 3428L, 3432L, 3436L, 3440L, 3444L, 3448L, 3452L, 3456L, 3460L, 3464L, 3468L, 3472L, 3476L, 3480L, 3484L, 3488L, 3492L, 3496L, 3500L, 3504L, 3508L, 3512L, 3516L, 3520L, 3524L, 3528L, 3532L, 3536L, 3540L, 3544L, 3548L, 3552L, 3556L, 3560L, 3564L, 3568L, 3572L, 3576L, 3580L, 3584L, 3588L, 3592L, 3596L, 3600L, 3604L, 3608L, 3612L, 3616L, 3620L, 3624L, 3628L, 3632L, 3636L, 3640L, 3644L, 3648L, 3652L, 3656L, 3660L, 3664L, 3668L, 3672L, 3676L, 3680L, 3684L, 3688L, 3692L, 3696L, 3700L, 3704L, 3708L, 3712L, 3716L, 3720L, 3724L, 3728L, 3732L, 3736L, 3740L, 3744L, 3748L, 3752L, 3756L, 3760L, 3764L, 3768L, 3772L, 3776L, 3780L, 3784L, 3788L, 3792L, 3796L, 3800L, 3804L, 3808L, 3812L, 3816L, 3820L, 3824L, 3828L, 3832L, 3836L, 3840L, 3844L, 3848L, 3852L, 3856L, 3860L, 3864L, 3868L, 3872L, 3876L, 3880L, 3884L, 3888L, 3892L, 3896L, 3900L, 3904L, 3908L, 3912L, 3916L, 3920L, 3924L, 3928L, 3932L, 3936L, 3940L, 3944L, 3948L, 3952L, 3956L, 3960L, 3964L, 3968L, 3972L, 3976L, 3980L, 3984L, 3988L, 3992L, 3996L, 4000L, 4004L, 4008L, 4012L, 4016L, 4020L, 4024L, 4028L, 4032L, 4036L, 4040L, 4044L, 4048L, 4052L, 4056L, 4060L, 4064L, 4068L, 4072L, 4076L, 4080L, 4084L, 4088L, 4092L, 4096L, 4100L, 4104L, 4108L, 4112L, 4116L, 4120L, 4124L, 4128L, 4132L, 4136L, 4140L, 4144L, 4148L, 4152L, 4156L, 4160L, 4164L, 4168L, 4172L, 4176L, 4180L, 4184L, 4188L, 4192L, 4196L, 4200L, 4204L, 4208L, 4212L, 4216L, 4220L, 4224L, 4228L, 4232L, 4236L, 4240L, 4244L, 4248L, 4252L, 4256L, 4260L, 4264L, 4268L, 4272L, 4276L, 4280L, 4284L, 4288L, 4292L, 4296L, 4300L, 4304L, 4308L, 4312L, 4316L, 4320L, 4324L, 4328L, 4332L, 4336L, 4340L, 4344L, 4348L, 4352L, 4356L, 4360L, 4364L, 4368L, 4372L, 4376L, 4380L, 4384L, 4388L, 4392L, 4396L, 4400L, 4404L, 4408L, 4412L, 4416L, 4420L, 4424L, 4428L, 4432L, 4436L, 4440L, 4444L, 4448L, 4452L, 4456L, 4460L, 4464L, 4468L, 4472L, 4476L, 4480L, 4484L, 4488L, 4492L, 4496L, 4500L, 4504L, 4508L, 4512L, 4516L, 4520L, 4524L, 4528L, 4532L, 4536L, 4540L, 4544L, 4548L, 4552L, 4556L, 4560L, 4564L, 4568L, 4572L, 4576L, 4580L, 4584L, 4588L, 4592L, 4596L, 4600L, 4604L, 4608L, 4612L, 4616L, 4620L, 4624L, 4628L, 4632L, 4636L, 4640L, 4644L, 4648L, 4652L, 4656L, 4660L, 4664L, 4668L, 4672L, 4676L, 4680L, 4684L, 4688L, 4692L, 4696L, 4700L, 4704L, 4708L, 4712L, 4716L, 4720L, 4724L, 4728L, 4732L, 4736L, 4740L, 4744L, 4748L, 4752L, 4756L, 4760L, 4764L, 4768L, 4772L, 4776L, 4780L, 4784L, 4788L, 4792L, 4796L, 4800L, 4804L, 4808L, 4812L, 4816L, 4820L, 4824L, 4828L, 4832L, 4836L, 4840L, 4844L, 4848L, 4852L, 4856L, 4860L, 4864L, 4868L, 4872L, 4876L, 4880L, 4884L, 4888L, 4892L, 4896L), Dim = c(288L, 1224L), Dimnames = list( c("1", "1", "1", "1", "2", "2", "2", "2", "3", "3", "3", "3", "4", "4", "4", "4", "5", "5", "5", "5", "6", "6", "6", "6", "7", "7", "7", "7", "8", "8", "8", "8", "9", "9", "9", "9", "10", "10", "10", "10", "11", "11", "11", "11", "12", "12", "12", "12", "13", "13", "13", "13", "14", "14", "14", "14", "15", "15", "15", "15", "16", "16", "16", "16", "17", "17", "17", "17", "18", "18", "18", "18", "19", "19", "19", "19", "20", "20", "20", "20", "21", "21", "21", "21", "22", "22", "22", "22", "23", "23", "23", "23", "24", "24", "24", "24", "25", "25", "25", "25", "26", "26", "26", "26", "27", "27", "27", "27", "28", "28", "28", "28", "29", "29", "29", "29", "30", "30", "30", "30", "31", "31", "31", "31", "32", "32", "32", "32", "33", "33", "33", "33", "34", "34", "34", "34", "35", "35", "35", "35", "36", "36", "36", "36", "37", "37", "37", "37", "38", "38", "38", "38", "39", "39", "39", "39", "40", "40", "40", "40", "41", "41", "41", "41", "42", "42", "42", "42", "43", "43", "43", "43", "44", "44", "44", "44", "45", "45", "45", "45", "46", "46", "46", "46", "47", "47", "47", "47", "48", "48", "48", "48", "49", "49", "49", "49", "50", "50", "50", "50", "51", "51", "51", "51", "52", "52", "52", "52", "53", "53", "53", "53", "54", "54", "54", "54", "55", "55", "55", "55", "56", "56", "56", "56", "57", "57", "57", "57", "58", "58", "58", "58", "59", "59", "59", "59", "60", "60", "60", "60", "61", "61", "61", "61", "62", "62", "62", "62", "63", "63", "63", "63", "64", "64", "64", "64", "65", "65", "65", "65", "66", "66", "66", "66", "67", "67", "67", "67", "68", "68", "68", "68", "69", "69", "69", "69", "70", "70", "70", "70", "71", "71", "71", "71", "72", "72", "72", "72"), c("1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96", "97", "98", "99", "100", "101", "102", "103", "104", "105", "106", "107", "108", "109", "110", "111", "112", "113", "114", "115", "116", "117", "118", "119", "120", "121", "122", "123", "124", "125", "126", "127", "128", "129", "130", "131", "132", "133", "134", "135", "136", "137", "138", "139", "140", "141", "142", "143", "144", "145", "146", "147", "148", "149", "150", "151", "152", "153", "154", "155", "156", "157", "158", "159", "160", "161", "162", "163", "164", "165", "166", "167", "168", "169", "170", "171", "172", "173", "174", "175", "176", "177", "178", "179", "180", "181", "182", "183", "184", "185", 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0.243855655298771, -0.128527388171366, 0.48933351693214, 0.335167404958345, 0.241676232423721, -0.127521677367841, 0.50394493400714, 0.317290416508546, 0.239967216994917, -0.126651013248661, 0.517094965930856, 0.300249500196237, 0.238603012656796, -0.125931928520957, 0.528280642800656, 0.284833657829247, 0.237614657459944, -0.125410286004304, 0.539654294187779, 0.268049040963593, 0.236817270537927, -0.124989434348875, 0.551882984380053, 0.24833874400212, 0.236271172123527, -0.12470120988045, 0.559684072752783, 0.234535916885169, 0.236152683590124, -0.124638672993958, 0.584501540460867, 0.177776441418201, 0.238179169746315, -0.125708229102779), factors = list())), nl = c(array.effects = 72L)), REML = TRUE, wmsgs = character(0), start = NULL, verbose = FALSE, control = list(optimizer = "bobyqa", restart_edge = TRUE, boundary.tol = 1e-05, calc.derivs = TRUE, use.last.params = FALSE, checkControl = list(check.nobs.vs.rankZ = "ignore", check.nobs.vs.nlev = "stop", check.nlev.gtreq.5 = "ignore", check.nlev.gtr.1 = "stop", check.nobs.vs.nRE = "stop", check.rankX = "message+drop.cols", check.scaleX = "warning", check.formula.LHS = "stop"), checkConv = list(check.conv.grad = list( action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list(action = "message", tol = 1e-04), check.conv.hess = list(action = "warning", tol = 1e-06)), optCtrl = list(maxfun = 1000)))
10: do.call(mkLmerDevfun, c(lmod, list(start = start, verbose = verbose, control = control)))
11: lmer(formula = y ~ -1 + probes + +probes:A2 + (sp - 1 | array.effects), data = list(y = c(2.83709422651706, 2.81567186155654, 2.79211413963695, 2.78688076630685, 2.76454705480583, 2.7540950689358, 2.73592596505086, 2.71827714353342, 2.70429857738077, 2.685696976953, 2.66949311855385, 2.65384465010952, 2.63813427978085, 2.62494686152474, 2.59734308880714, 2.60412709631865, 2.53061548423165, 2.83804607510591, 2.81842692817192, 2.80397397459835, 2.7865108863632, 2.7709498765038, 2.75430125702194, 2.73852525753158, 2.72222959809635, 2.70436288425624, 2.68873679201091, 2.67202162704941, 2.65852941877004, 2.64328769932649, 2.62220655210308, 2.60543625443839, 2.58203714151581, 2.52486891484677, 2.83547608690269, 2.82103992133977, 2.80363479555558, 2.78452851397049, 2.76995072695901, 2.75524307352547, 2.73990234759406, 2.72196103200697, 2.70505657562996, 2.68649676176986, 2.67157036474212, 2.65894180350948, 2.64082113225416, 2.62990697569053, 2.60320361761445, 2.58803625381196, 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12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L), A2 = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), array.effects = c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 8L, 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checkConv = list(check.conv.grad = list(action = "warning", tol = 0.002, relTol = NULL), check.conv.singular = list( action = "message", tol = 1e-04), check.conv.hess = list( action = "warning", tol = 1e-06)), optCtrl = list( maxfun = 1000)), verbose = FALSE, subset = 1:1224, weights = c(0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02, 0.1, 0.08, 0.2, 0.2, 0.52, 0.58, 0.64, 1, 0.76, 0.72, 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0.64, 1, 0.76, 0.72, 0.38, 0.4, 0.14, 0.18, 0.1, 0.02, 0.02))
12: do.call("lmer", list(formula = model.objects$ZF, data = expObj, REML = TRUE, control = lmerCtrl, verbose = FALSE, subset = 1:nrow(expObj), weights = expObj$weights))
13: fit.model(obs.fit, snm.obj, basisSplineFunction, lmer.max.iter)
14: snm(exprs(object), bio.var = full.matrix, adj.var = null.matrix, int.var = int.var, ...)
15: apply_snm(de_obj, int.var = int.var, num.iter = 2, diagnose = FALSE, verbose = FALSE)
16: apply_snm(de_obj, int.var = int.var, num.iter = 2, diagnose = FALSE, verbose = FALSE)
17: eval(expr, envir, enclos)
18: eval(expr, envir, enclos)
19: eval_with_user_handlers(expr, envir, enclos, user_handlers)
20: withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers))
21: withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)
22: handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler))
23: timing_fn(handle(ev <- withCallingHandlers(withVisible(eval_with_user_handlers(expr, envir, enclos, user_handlers)), warning = wHandler, error = eHandler, message = mHandler)))
24: evaluate_call(expr, parsed$src[[i]], envir = envir, enclos = enclos, debug = debug, last = i == length(out), use_try = stop_on_error != 2L, keep_warning = keep_warning, keep_message = keep_message, log_echo = log_echo, log_warning = log_warning, output_handler = output_handler, include_timing = include_timing)
25: evaluate::evaluate(...)
26: evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options))
27: in_dir(input_dir(), expr)
28: in_input_dir(evaluate(code, envir = env, new_device = FALSE, keep_warning = if (is.numeric(options$warning)) TRUE else options$warning, keep_message = if (is.numeric(options$message)) TRUE else options$message, stop_on_error = if (is.numeric(options$error)) options$error else { if (options$error && options$include) 0L else 2L }, output_handler = knit_handlers(options$render, options)))
29: eng_r(options)
30: block_exec(params)
31: call_block(x)
32: process_group.block(group)
33: process_group(group)
34: withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e))
35: withCallingHandlers(expr, error = function(e) { loc = paste0(current_lines(), label, sprintf(" (%s)", knit_concord$get("infile"))) message(one_string(handler(e, loc)))})
36: handle_error(withCallingHandlers(if (tangle) process_tangle(group) else process_group(group), error = function(e) if (xfun::pkg_available("rlang", "1.0.0")) rlang::entrace(e)), function(e, loc) { setwd(wd) write_utf8(res, output %n% stdout()) paste0("\nQuitting from lines ", loc) }, if (labels[i] != "") sprintf(" [%s]", labels[i]))
37: process_file(text, output)
38: (if (grepl("\\.[Rr]md$", file)) knit2html else if (grepl("\\.[Rr]rst$", file)) knit2pandoc else knit)(file, encoding = encoding, quiet = quiet, envir = globalenv(), ...)
39: engine$weave(file, quiet = quiet, encoding = enc)
40: doTryCatch(return(expr), name, parentenv, handler)
41: tryCatchOne(expr, names, parentenv, handlers[[1L]])
42: tryCatchList(expr, classes, parentenv, handlers)
43: tryCatch({ engine$weave(file, quiet = quiet, encoding = enc) setwd(startdir) output <- find_vignette_product(name, by = "weave", engine = engine) if (!have.makefile && vignette_is_tex(output)) { texi2pdf(file = output, clean = FALSE, quiet = quiet) output <- find_vignette_product(name, by = "texi2pdf", engine = engine) } outputs <- c(outputs, output)}, error = function(e) { thisOK <<- FALSE fails <<- c(fails, file) message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s", file, conditionMessage(e)))})
44: tools::buildVignettes(dir = ".", tangle = TRUE)
An irrecoverable exception occurred. R is aborting now ...
