Skip to first unread message
Dion
Aug 26, 2019, 4:56:18 AM8/26/19
to brainGraph-help
exclude.reg <- c('lcACC','liCC','lPCC','lrACC','rcACC','rPCC','rrACC','lcMFG','lFP','lMOF','lparaC','lpOPER','lpORB','lpTRI','lrMFG','rcMFG','rFP','rMOF','rparaC','rpOPER','rpORB','rpTRI','rrMFG','rSFG','lINS','rINS','lCUN','lLING','lLOG','lperiCAL','rCUN','rLING','rLOG','rperiCAL','lpostC','lSMAR','rIPL','rSMAR','rSPL','lACCU','lAMYG','lCAUD','lHIPP','lPALL','lPUT','lTHAL','rACCU','rAMYG','rCAUD','rHIPP','rPALL','rPUT','rTHAL','lBSTS','lENT','lFUS','lITG','lPARH','lSTG','lTP','lTT','rENT','rFUS','rITG','rMTG','rPARH','rSTG','rTP','rTT') # with specified exluded regions
corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg = exclude.reg)
....
g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm", modality= 'thickness', group= y, .progress='text'), g, as.list(groups))
| | 0%Error in if (sum(colSums(W) > 0) == 0) break :
missing value where TRUE/FALSE needed
In addition: Warning message:
In min(str.tmp[which(str.tmp > 0)]) :
Error in if (sum(colSums(W) > 0) == 0) break :
missing value where TRUE/FALSE needed
I got error like that when I tried to exclude regions.
Thanks,
Dion
P.S. Here are ...
The Complete codes and output below:
> #covars <- read.csv("covars_imputed_z.csv")
> covars <- read.csv("covarz_raw_imputed.csv")
> cortical_lhrh <- read.csv("cortical_subcortical_130819.csv")
> # loading the project data
> covars1 <- as.data.table(covars)
> cortical_lhrh1 <- as.data.table(cortical_lhrh)
> # hack to place list of elements in the global environment
> lapply(seq_along(cortical_lhrh), function(x)
+ assign(names(cortical_lhrh)[x], eval(cortical_lhrh[[x]]), envir=.GlobalEnv))
[[1]]
[1] FTD023 FTD043 FTD047 FTD093 FTD095 FTD116 FTD133 FTD138 FTD156 FTD157
[11] FTD161 FTD164 FTD175 FTD191 FTD195 FTD198 FTD211 FTD214 FTD228 FTD229
[21] FTD234 FTD301 FTD312 FTD327 FTD328 FTD338 FTD344 FTD372 FTD378 FTD380
[31] FTD405 FTD418 FTD438 FTD441 FTD460 FTD463 FTD467 FTD471 FTD487 FTD502
[41] FTD532 FTD540 FTD546 FTD548 FTD560 FTD561 FTD562 FTD566 FTD571 FTD581
[51] FTD587 FTD605 FTD606 FTD614 FTD621 FTD637 FTD638 FTD657 FTD668 FTD699
[61] FTD706 FTD737 FTD774 FTD809 FTD810 FTD825 FTD830 FTD883 FTD009 FTD013
[71] FTD014 FTD021 FTD027 FTD045 FTD056 FTD062 FTD064 FTD092 FTD103 FTD104
[81] FTD106 FTD111 FTD144 FTD177 FTD219 FTD231 FTD243 FTD262 FTD263 FTD273
[91] FTD317 FTD331 FTD339 FTD342 FTD345 FTD347 FTD357 FTD360 FTD367 FTD381
[101] FTD382 FTD396 FTD422 FTD423 FTD497 FTD499 FTD552 FTD559 FTD575 FTD593
[111] FTD596 FTD597 FTD610 FTD636 FTD673 FTD679 FTD721 FTD754 FTD761 FTD779
[121] FTD816 FTD820 FTD838 FTD848 FTD850 FTD858 FTD894 FTD903 FTD908 FTD909
[131] FTD946 FTD951 FTD953 FTD959 FTD963 FTD969 FTD018 FTD024 FTD033 FTD034
[141] FTD042 FTD051 FTD052 FTD058 FTD059 FTD067 FTD072 FTD073 FTD074 FTD075
[151] FTD077 FTD085 FTD086 FTD094 FTD114 FTD117 FTD122 FTD123 FTD128 FTD129
[161] FTD130 FTD134 FTD135 FTD139 FTD140 FTD143 FTD147 FTD150 FTD151 FTD160
[171] FTD165 FTD170 FTD179 FTD181 FTD183 FTD185 FTD187 FTD189 FTD192 FTD196
[181] FTD205 FTD208 FTD209 FTD210 FTD215 FTD241 FTD298 FTD464 FTD624 FTD632
[191] FTD642 FTD649 FTD660 FTD665 FTD693 FTD711 FTD745 FTD835 FTD929 FTD932
[201] FTD970 FTD979 FTD980 FTD995
204 Levels: FTD009 FTD013 FTD014 FTD018 FTD021 FTD023 FTD024 FTD027 ... FTD995
[[2]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[3]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[4]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[5]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[6]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[7]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[8]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[9]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[10]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[11]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[12]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[13]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[14]]
[1] 2.44 2.01 2.04 2.43 2.47 2.26 2.50 2.17 2.52 2.35 2.33 2.06 2.46 2.54 2.27
[16] 2.34 2.22 2.35 2.23 2.28 2.63 2.27 2.25 2.36 2.26 2.51 2.11 2.19 2.46 2.13
[31] 2.33 2.03 2.14 2.49 2.36 2.02 2.31 2.64 2.29 2.36 2.17 2.55 2.03 2.53 1.71
[46] 2.52 2.11 2.59 2.58 2.36 2.30 2.38 2.30 2.27 2.51 2.09 2.24 2.42 2.17 2.17
[61] 2.26 2.48 2.38 2.44 2.31 2.31 2.22 2.20 2.14 2.60 1.38 1.52 1.67 2.45 2.09
[76] 2.42 1.90 1.43 2.44 2.73 1.66 2.33 1.94 2.24 2.34 2.25 2.02 2.14 2.37 2.53
[91] 2.19 2.00 2.38 2.45 2.24 2.11 2.66 2.31 2.24 2.40 1.94 1.91 1.91 1.97 2.33
[106] 2.65 2.45 2.20 2.33 2.38 1.80 2.06 1.84 1.77 2.01 2.57 2.37 1.71 1.89 2.63
[121] 2.24 1.71 2.20 1.64 2.33 2.05 2.52 2.09 2.41 2.03 2.30 2.11 1.95 2.13 1.75
[136] 2.29 2.43 2.67 2.18 2.59 2.48 2.30 2.40 2.59 2.37 2.27 2.56 2.58 2.28 2.35
[151] 2.27 2.49 2.31 2.31 2.37 2.60 2.56 2.52 2.38 2.70 2.31 2.46 2.37 2.31 2.72
[166] 2.30 2.75 2.17 2.33 2.62 2.87 2.35 2.60 2.17 2.63 2.42 2.36 2.54 2.36 2.17
[181] 2.43 2.39 2.70 2.48 2.51 2.63 2.64 2.62 2.45 2.34 2.59 2.36 2.47 2.54 2.46
[196] 2.48 2.68 2.08 2.26 2.38 2.37 2.25 2.35 2.40
[[15]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[16]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[17]]
[1] 2.34 1.89 1.74 1.97 2.31 2.29 2.15 2.29 2.31 2.57 2.56 2.27 2.34 2.04 2.29
[16] 2.49 2.32 2.35 2.06 1.78 2.15 2.10 2.41 2.40 1.65 2.15 2.43 1.71 1.98 2.26
[31] 2.31 2.48 2.25 2.16 2.09 2.22 2.26 2.01 2.07 2.25 2.40 2.11 1.89 2.07 1.92
[46] 2.36 1.86 2.00 2.34 2.71 2.23 2.26 2.33 2.27 2.36 2.14 2.45 1.77 1.89 2.35
[61] 2.21 2.41 2.25 2.42 2.40 1.97 2.28 2.24 1.91 2.28 2.02 2.05 2.29 1.80 1.77
[76] 2.32 2.13 2.16 2.13 2.12 2.00 2.28 1.99 2.09 2.25 2.28 2.26 2.08 1.96 2.23
[91] 1.81 1.76 2.19 2.58 2.20 2.32 2.41 2.08 1.97 2.25 2.10 2.16 2.32 2.45 2.15
[106] 2.82 2.10 2.06 1.59 2.29 1.89 2.28 2.48 1.93 1.82 2.14 2.27 2.15 2.11 2.24
[121] 2.48 2.25 2.37 2.18 2.62 2.31 2.14 2.21 1.86 2.26 2.00 2.19 1.73 2.28 2.19
[136] 2.38 2.41 2.32 2.44 2.29 2.61 2.36 2.19 2.35 2.07 2.11 2.28 2.35 2.30 2.11
[151] 2.04 2.41 2.09 2.09 1.98 2.34 2.50 2.53 2.22 2.19 2.29 2.13 2.14 2.44 2.29
[166] 2.28 2.56 2.11 2.20 2.39 2.35 2.28 2.62 2.29 2.12 2.13 2.25 2.51 2.28 1.99
[181] 2.25 2.32 2.46 2.29 2.21 2.25 2.36 2.45 2.23 2.47 2.25 2.20 2.42 2.53 2.07
[196] 2.48 2.25 2.20 2.42 2.56 2.47 2.19 2.24 2.04
[[18]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[19]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[20]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[21]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[22]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[23]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[24]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[25]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[26]]
[1] 2.62 2.34 2.56 2.79 2.95 3.08 2.97 2.76 2.67 3.06 2.77 2.91 3.38 3.08 2.34
[16] 2.97 2.87 3.02 2.67 2.69 2.91 2.92 3.03 2.93 2.65 2.84 2.40 2.65 2.95 2.39
[31] 2.74 2.55 2.58 2.59 2.78 2.30 2.87 2.94 2.50 2.73 2.79 3.35 2.34 2.61 2.07
[46] 3.23 2.02 2.82 2.86 3.16 2.85 3.20 2.71 2.62 3.01 2.60 2.62 2.59 2.47 2.97
[61] 2.48 2.67 3.17 3.03 2.73 2.68 2.74 2.91 2.39 2.71 1.66 2.03 2.10 2.92 2.45
[76] 2.40 2.26 1.50 2.57 3.41 1.96 2.92 2.06 2.83 2.57 2.83 2.49 3.26 2.76 2.80
[91] 2.34 3.17 2.53 3.01 2.40 2.23 3.25 2.47 2.36 3.00 2.54 2.61 2.60 1.95 2.69
[106] 3.21 2.72 2.61 2.46 2.62 2.39 2.09 2.38 2.41 2.91 2.75 3.15 2.68 2.92 2.80
[121] 2.86 1.87 2.33 2.15 2.52 2.72 2.87 2.49 3.15 2.50 2.65 2.17 2.42 2.45 2.15
[136] 2.96 3.24 3.10 2.77 2.98 2.78 3.07 2.86 3.08 3.24 2.50 3.33 3.23 2.72 3.08
[151] 2.91 2.97 3.04 3.04 2.85 3.18 2.71 2.77 3.07 3.15 2.52 3.08 3.07 2.80 2.76
[166] 3.05 2.94 2.71 3.09 3.11 3.02 2.92 2.96 2.69 2.81 2.76 2.80 2.64 2.64 2.52
[181] 2.64 3.03 3.06 2.88 2.86 2.99 3.22 3.21 2.82 3.00 3.08 2.86 3.02 3.23 2.97
[196] 2.75 3.04 2.58 2.51 2.82 2.80 2.70 2.87 2.70
[[27]]
[1] 2.20 2.06 1.97 2.20 2.20 2.45 2.01 2.17 2.06 2.38 2.24 2.30 2.22 2.28 2.10
[16] 2.32 2.36 2.22 2.18 2.17 2.05 2.05 2.02 2.27 2.17 2.31 2.35 2.08 2.64 2.46
[31] 2.38 2.19 2.17 2.32 2.08 2.36 2.11 2.34 2.13 2.21 2.11 1.92 1.99 2.45 1.44
[46] 2.45 1.90 2.15 2.47 2.45 2.13 2.22 2.18 2.40 2.24 2.17 2.14 2.38 2.04 2.16
[61] 2.11 2.36 2.32 2.70 2.25 2.19 2.21 2.04 2.21 2.19 1.63 1.57 2.04 2.24 2.01
[76] 2.18 2.07 1.47 2.40 2.46 1.93 2.19 1.96 2.03 2.14 2.07 1.76 2.34 2.05 2.40
[91] 1.90 1.86 2.30 2.50 2.17 1.73 2.53 2.38 2.05 2.34 2.21 2.04 1.80 2.23 2.05
[106] 2.54 2.19 1.88 2.03 2.41 1.84 1.74 2.15 2.00 2.04 2.24 2.36 1.69 2.34 2.25
[121] 2.35 2.34 2.45 1.82 2.61 2.26 2.30 2.11 2.00 2.11 2.08 1.98 2.02 2.09 1.24
[136] 2.29 2.27 2.55 2.33 2.38 2.41 2.28 2.29 2.37 2.24 2.13 2.48 2.51 2.13 2.29
[151] 2.43 2.45 2.48 2.48 2.08 2.67 2.27 2.48 2.26 2.27 1.62 2.42 2.21 2.25 2.45
[166] 2.27 2.46 2.16 2.30 2.42 2.44 2.21 2.47 2.12 2.37 2.11 2.26 2.37 2.25 2.10
[181] 2.25 2.22 2.22 2.30 2.66 2.39 2.30 2.47 2.38 2.21 2.44 2.20 2.25 2.42 2.30
[196] 2.65 2.56 2.06 2.18 2.28 2.32 2.29 2.42 2.24
[[28]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[29]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[30]]
[1] 2.96 2.07 2.61 2.45 2.43 2.82 2.26 2.66 2.29 2.74 2.54 2.36 2.44 2.52 2.24
[16] 2.49 2.74 2.50 2.42 2.35 2.43 2.48 2.41 2.99 1.88 2.53 2.48 2.14 2.27 2.44
[31] 2.45 2.38 2.18 2.49 2.49 2.55 2.68 2.32 2.43 2.62 2.52 2.62 2.09 2.62 2.16
[46] 2.64 2.14 1.87 2.00 2.76 2.68 2.55 2.57 2.51 2.65 2.47 2.45 2.13 2.18 2.43
[61] 2.42 2.74 2.76 2.37 2.72 2.45 2.32 2.46 1.94 2.64 1.72 1.68 1.84 2.68 2.39
[76] 2.56 2.92 2.04 2.47 2.96 2.35 2.64 2.40 2.85 2.41 2.50 2.09 1.82 2.48 2.55
[91] 1.92 2.68 2.60 2.14 2.79 2.82 2.82 2.54 2.18 2.47 2.21 2.42 2.06 2.61 2.45
[106] 3.25 2.66 2.48 2.16 3.05 2.20 2.02 1.91 2.64 2.57 2.70 2.67 2.18 2.56 3.22
[121] 2.77 2.38 2.45 2.02 2.72 2.58 2.39 2.47 2.35 2.06 2.15 2.22 2.44 2.48 2.00
[136] 2.40 2.93 2.80 2.78 2.91 2.69 2.72 2.94 2.53 2.56 2.59 2.58 2.70 2.50 2.89
[151] 2.60 2.80 2.60 2.60 2.54 2.74 2.68 2.77 2.65 2.88 2.20 2.48 2.74 2.93 2.71
[166] 2.81 2.76 2.54 2.52 2.79 3.13 2.78 2.88 2.69 2.68 2.64 2.77 2.69 2.78 2.56
[181] 2.73 2.46 2.59 2.73 2.77 2.73 2.47 2.82 2.72 3.05 2.61 2.77 2.88 2.85 2.44
[196] 2.92 2.50 2.29 2.74 2.78 2.63 2.68 2.93 2.60
[[31]]
[1] 2.46 2.21 2.20 2.14 2.11 2.59 2.00 2.35 1.95 2.50 2.24 2.36 2.11 2.30 1.93
[16] 2.42 2.44 1.97 2.07 2.29 1.96 2.18 2.12 2.35 1.65 2.45 2.21 1.91 2.32 2.13
[31] 2.21 2.27 2.07 2.52 2.04 2.29 2.05 2.39 2.24 2.32 2.33 2.44 1.81 2.36 1.81
[46] 2.50 2.10 1.82 2.44 2.80 2.46 2.32 2.09 2.07 2.40 2.20 2.25 2.03 1.97 2.18
[61] 1.99 2.26 2.31 2.49 2.17 2.12 2.07 2.33 2.06 2.21 2.01 2.12 2.24 2.33 2.09
[76] 2.55 2.15 2.24 2.39 2.53 2.40 2.38 2.17 2.18 2.19 2.10 2.21 2.58 2.13 2.34
[91] 1.84 1.94 2.26 2.66 2.17 2.55 2.55 2.33 2.09 2.35 2.27 2.41 2.33 2.59 2.11
[106] 2.77 2.34 2.37 1.97 2.58 2.12 2.02 2.45 2.04 1.96 2.50 2.55 2.11 2.34 2.62
[121] 2.32 2.27 2.46 2.42 2.66 2.33 2.39 2.28 2.10 2.16 2.38 2.38 2.12 2.51 1.77
[136] 2.43 2.80 2.60 2.79 2.65 2.49 2.44 2.36 2.32 2.30 2.32 2.58 2.53 2.20 2.44
[151] 2.51 2.51 2.51 2.51 2.21 2.54 2.45 2.68 2.41 2.48 2.27 2.37 2.42 2.65 2.55
[166] 2.63 2.50 2.35 2.48 2.37 2.75 2.51 2.54 2.31 2.42 2.34 2.52 2.42 2.52 2.20
[181] 2.51 2.56 2.26 2.41 2.42 2.61 2.53 2.48 2.36 2.57 2.47 2.58 2.42 2.58 2.34
[196] 2.81 2.49 2.37 2.53 2.74 2.64 2.41 2.41 2.33
[[32]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[33]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[34]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[35]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[36]]
[1] 2.42 2.29 2.44 2.08 2.27 2.62 1.92 2.60 2.04 2.66 2.37 2.38 2.12 2.54 2.24
[16] 2.55 2.41 2.01 2.43 2.53 1.98 2.35 2.29 2.81 1.94 2.36 2.30 2.20 1.93 2.40
[31] 2.44 2.41 2.32 2.51 1.77 2.30 2.23 1.67 2.27 2.26 2.43 2.45 1.81 2.59 2.11
[46] 2.47 2.30 2.03 2.39 2.64 2.40 2.43 2.17 2.62 2.36 2.30 1.94 1.70 1.96 1.82
[61] 2.23 2.44 2.07 2.17 2.39 2.43 2.41 2.02 2.30 2.59 2.31 1.87 2.24 2.35 2.31
[76] 2.78 2.10 2.17 2.50 2.53 2.31 2.35 2.53 2.43 2.37 2.03 2.42 2.38 2.12 2.49
[91] 1.95 2.49 2.44 2.62 2.43 2.51 2.40 2.61 2.21 2.61 2.26 1.73 2.42 2.56 2.33
[106] 2.90 2.89 2.41 2.22 2.77 2.43 2.15 2.47 2.34 2.52 2.47 2.79 2.01 2.35 3.28
[121] 2.54 2.35 2.55 2.21 2.79 2.56 2.38 2.41 1.97 2.43 2.09 2.28 2.19 2.03 1.78
[136] 2.37 2.82 2.35 2.88 2.51 2.65 2.53 2.27 2.49 2.08 2.12 2.68 2.52 2.41 2.60
[151] 2.42 2.28 2.37 2.37 2.38 2.51 2.40 2.76 2.37 2.35 2.09 2.22 2.28 2.82 2.68
[166] 2.70 2.35 2.59 2.34 2.50 3.07 2.54 2.66 2.59 2.43 2.41 2.80 2.43 2.77 2.39
[181] 2.43 2.04 2.68 3.01 2.73 2.78 2.35 2.65 2.50 2.80 2.48 2.57 2.34 2.73 2.30
[196] 2.61 2.44 2.57 2.65 2.60 2.55 2.44 2.75 2.48
[[37]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[38]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[39]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[40]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[41]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[42]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[43]]
[1] 2.87 2.44 2.84 2.60 2.62 2.82 2.48 2.92 2.52 2.95 2.69 2.86 2.64 2.78 2.68
[16] 2.67 2.84 2.98 2.64 2.64 2.50 2.70 2.63 3.02 2.59 2.45 3.00 2.52 2.47 3.06
[31] 2.72 2.54 2.59 2.83 2.29 2.85 2.76 2.70 2.72 2.81 2.95 2.70 2.52 2.80 2.65
[46] 2.91 2.14 2.27 2.81 2.98 2.92 2.84 2.77 2.60 2.90 2.70 2.47 1.98 2.52 2.53
[61] 2.57 2.83 2.27 2.53 2.52 2.63 2.88 2.34 2.32 2.96 2.64 2.28 2.23 2.60 2.74
[76] 2.56 2.50 2.75 2.84 2.83 2.42 2.75 3.04 2.87 2.68 2.27 2.52 2.57 2.76 2.72
[91] 2.43 2.98 2.67 2.81 2.88 2.67 2.93 3.12 2.42 2.81 2.66 2.16 2.12 2.19 2.63
[106] 3.20 3.03 2.54 2.47 2.94 2.67 2.36 1.96 2.58 2.77 2.94 2.86 2.25 2.66 2.93
[121] 2.42 2.25 2.64 2.45 2.79 2.80 2.78 2.84 2.24 2.64 2.12 2.05 2.72 2.29 1.87
[136] 2.73 3.19 2.99 3.04 2.84 2.99 3.01 2.97 2.63 2.88 2.55 3.04 2.83 2.96 2.95
[151] 2.89 2.85 2.98 2.98 2.81 3.09 3.02 3.22 2.83 3.00 2.58 2.53 3.02 2.98 2.87
[166] 2.91 3.13 2.64 2.87 2.92 3.32 2.99 3.19 3.10 2.87 2.94 2.86 3.06 2.85 2.75
[181] 2.84 2.89 2.86 2.98 2.97 3.01 2.93 3.05 2.93 3.20 3.16 3.04 3.10 2.96 2.94
[196] 3.02 2.49 2.54 2.78 2.86 2.66 2.77 2.87 2.92
[[44]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[45]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[46]]
[1] 2.69 2.08 2.37 2.60 2.62 2.64 2.79 2.53 2.75 2.63 2.15 2.66 2.59 2.80 2.41
[16] 2.80 2.55 2.60 2.60 2.64 2.63 2.29 2.38 2.53 2.56 2.37 2.58 2.64 2.55 2.73
[31] 2.62 2.28 2.57 2.60 2.49 2.43 2.37 2.76 2.50 2.57 2.40 2.59 2.38 2.74 1.60
[46] 2.84 2.25 2.50 2.54 2.53 2.46 2.65 2.81 2.16 2.48 2.57 2.43 2.13 2.42 2.29
[61] 2.44 2.61 2.42 2.75 2.54 2.44 2.55 2.21 2.04 2.77 1.79 1.74 1.83 2.35 2.27
[76] 1.54 1.72 2.09 2.40 2.87 1.71 2.37 1.88 2.57 2.47 2.32 2.00 2.22 2.47 2.71
[91] 2.34 2.36 2.45 2.49 2.39 1.71 2.87 2.42 1.97 2.60 2.36 1.92 2.00 2.24 2.46
[106] 2.87 2.69 2.50 2.24 2.53 2.04 1.78 2.09 2.32 2.49 2.57 2.46 1.89 2.01 2.68
[121] 2.45 1.92 2.50 2.17 2.37 2.58 2.35 1.75 2.11 2.17 2.29 2.19 2.51 1.87 1.78
[136] 2.29 2.60 2.90 2.73 2.78 2.53 2.80 2.58 2.66 2.46 2.53 2.84 2.63 2.49 2.69
[151] 2.45 2.66 2.51 2.51 2.42 2.98 2.58 2.73 2.84 2.62 2.00 2.53 2.38 2.43 2.82
[166] 2.76 2.74 2.55 2.68 2.55 2.95 2.60 2.73 2.47 2.72 2.67 2.75 2.93 2.57 2.34
[181] 2.64 2.48 2.84 2.58 2.30 2.75 2.65 2.71 2.59 2.87 2.78 2.42 2.87 2.98 2.68
[196] 2.88 2.64 2.32 2.47 2.66 2.53 2.53 2.63 2.60
[[47]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[48]]
[1] 2.37 2.07 1.99 2.31 2.37 2.35 2.53 2.35 2.53 2.25 2.25 2.27 2.71 2.25 2.14
[16] 2.42 2.28 2.38 2.23 2.42 2.41 2.31 2.27 2.26 2.40 2.61 2.18 2.41 2.82 2.44
[31] 2.29 2.14 2.22 2.38 2.25 2.06 2.28 2.53 2.06 2.49 2.09 2.44 1.95 2.56 1.65
[46] 2.38 2.12 2.81 2.32 2.33 2.33 2.52 2.39 2.53 2.49 2.00 2.34 2.48 2.21 2.08
[61] 2.19 2.41 2.12 2.47 2.28 2.42 2.36 2.03 2.04 2.60 1.44 1.53 1.78 2.30 1.91
[76] 2.16 1.55 1.44 2.35 2.78 1.54 2.23 1.74 2.29 2.29 1.98 1.96 2.12 2.22 2.29
[91] 2.30 2.36 2.37 2.72 2.13 2.08 2.19 2.77 1.98 2.22 2.14 1.67 1.93 1.58 2.30
[106] 2.55 2.44 2.24 2.16 2.45 1.80 1.82 2.00 1.87 2.40 2.54 2.61 2.06 1.79 2.64
[121] 2.37 1.71 2.28 1.76 1.98 2.24 2.31 1.83 2.04 2.29 2.24 2.16 1.97 2.16 1.89
[136] 2.25 2.50 2.55 2.62 2.57 2.46 2.32 2.40 2.48 2.59 2.24 2.52 2.29 2.25 2.27
[151] 2.42 2.47 2.55 2.55 2.18 2.37 2.59 2.60 2.34 2.53 2.03 2.42 2.14 2.35 2.50
[166] 2.40 2.40 2.38 2.31 2.95 2.53 2.37 2.66 2.32 2.34 2.48 2.45 2.55 2.17 2.38
[181] 2.43 2.41 2.50 2.55 2.18 2.45 2.42 3.04 2.35 2.62 2.36 2.38 2.45 2.36 2.38
[196] 2.59 2.36 2.15 2.24 2.49 2.66 2.34 2.36 2.23
[[49]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[50]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[51]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[52]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[53]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[54]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[55]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[56]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[57]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[58]]
[1] 2.30 2.09 1.98 2.08 2.31 2.47 2.27 2.57 2.26 2.45 2.28 2.56 2.39 1.97 2.21
[16] 2.50 2.36 2.43 2.34 2.03 2.31 2.31 2.35 2.57 1.80 2.27 2.08 2.27 2.36 2.33
[31] 2.27 2.36 2.31 2.34 2.17 2.31 2.47 2.12 2.42 2.51 2.64 2.58 2.03 2.31 2.15
[46] 2.47 1.93 1.97 2.52 2.73 2.43 2.40 2.35 2.29 2.58 2.33 2.57 1.91 1.98 2.41
[61] 2.42 2.52 2.46 2.65 2.45 2.54 2.53 2.15 2.23 2.28 2.19 2.16 2.30 2.12 2.00
[76] 2.04 1.70 2.42 2.25 1.94 2.19 2.56 1.73 2.22 2.36 2.26 2.21 2.38 1.94 2.31
[91] 2.11 2.39 2.02 2.45 2.14 2.43 2.63 2.46 2.18 2.42 2.32 2.00 2.17 2.32 2.01
[106] 2.74 2.23 2.19 1.48 2.68 2.16 1.93 2.51 1.95 2.07 2.20 2.22 2.30 1.98 2.42
[121] 2.51 2.47 2.45 2.44 2.64 2.28 2.25 1.85 1.91 2.14 2.05 2.25 2.07 2.32 2.16
[136] 2.54 2.25 2.59 2.56 2.50 2.46 2.58 2.39 2.50 2.19 2.10 2.44 2.37 2.18 2.40
[151] 2.37 2.43 2.45 2.45 2.33 2.50 2.40 2.45 2.43 2.36 1.73 2.19 2.39 2.44 2.49
[166] 2.34 2.61 2.19 2.20 2.39 2.54 2.38 2.71 2.35 2.42 2.19 2.36 2.61 2.39 2.22
[181] 2.25 2.31 2.47 2.43 2.20 2.55 2.34 2.60 2.38 2.64 2.47 2.36 2.61 2.61 2.33
[196] 2.68 2.56 2.31 2.66 2.62 2.55 2.34 2.27 2.21
[[59]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[60]]
[1] 2.80 2.22 2.58 2.67 2.77 2.73 2.96 2.85 3.02 2.72 2.99 2.51 2.91 2.73 2.56
[16] 2.85 2.53 3.09 2.58 2.55 2.70 2.25 2.70 2.84 2.55 2.67 2.61 2.83 3.21 3.31
[31] 2.61 2.68 2.56 2.57 3.00 2.28 2.64 2.79 2.69 2.64 2.84 2.54 2.93 2.68 2.25
[46] 3.04 2.44 3.03 2.75 3.06 2.85 3.17 2.78 2.80 3.15 2.57 2.82 2.53 2.42 2.56
[61] 2.74 2.50 3.00 3.21 2.77 2.55 2.66 3.04 2.36 2.44 1.74 1.92 1.97 2.51 2.20
[76] 2.77 2.11 1.73 2.98 2.94 2.79 2.86 2.23 3.04 2.64 2.82 2.59 2.58 2.67 2.65
[91] 2.59 2.76 2.69 2.89 2.51 1.46 3.01 2.95 2.37 2.82 3.01 2.35 2.80 1.65 2.34
[106] 3.13 2.51 2.80 3.00 2.78 2.42 1.74 2.10 2.28 2.88 2.83 3.14 2.51 2.62 2.83
[121] 2.73 2.17 2.59 2.45 2.33 2.58 2.54 2.00 3.23 2.53 2.22 2.02 2.34 2.60 2.30
[136] 2.95 3.30 2.70 2.91 2.51 3.27 3.18 2.61 2.81 2.62 2.46 2.97 3.07 2.45 2.76
[151] 2.93 2.94 2.76 2.76 3.00 2.99 2.74 2.69 2.79 3.18 2.20 3.25 2.81 2.94 2.80
[166] 2.47 2.58 2.62 2.62 3.02 2.91 2.98 2.76 2.75 2.65 2.68 2.87 2.85 2.62 2.97
[181] 2.40 2.68 2.68 2.56 2.70 2.88 2.84 2.79 3.30 2.58 2.77 2.68 3.08 3.13 2.99
[196] 2.92 3.04 2.51 2.83 2.51 2.82 2.71 3.38 2.95
[[61]]
[1] 2.15 2.00 2.02 2.25 2.23 2.51 2.12 2.25 2.03 2.45 2.13 2.28 2.13 2.13 2.20
[16] 2.37 2.43 2.40 2.28 2.16 1.80 2.11 1.83 2.49 2.15 2.27 2.20 2.16 2.58 2.55
[31] 2.28 2.22 2.29 2.39 1.89 2.42 2.20 2.34 2.16 2.18 2.11 2.20 1.98 2.43 1.37
[46] 2.47 2.13 2.30 2.50 2.60 2.25 2.31 2.16 2.47 2.18 2.20 1.97 1.61 2.01 2.06
[61] 2.36 2.49 2.25 2.52 2.14 2.23 2.17 1.90 2.02 2.39 1.89 1.91 2.05 2.02 2.08
[76] 2.07 2.09 1.73 2.40 2.52 1.85 2.29 1.83 2.19 2.31 2.03 2.11 2.45 1.89 2.45
[91] 2.13 2.03 2.20 3.23 2.28 1.88 2.62 2.25 2.11 2.28 2.17 1.87 1.86 1.90 2.32
[106] 2.55 2.12 2.33 1.94 2.51 1.92 1.88 2.31 2.04 2.14 2.41 2.69 1.77 2.25 2.20
[121] 2.33 2.35 2.25 2.19 2.51 2.19 2.26 1.69 2.04 2.26 1.82 1.94 2.03 1.78 1.39
[136] 2.27 2.46 2.59 2.52 2.52 2.50 2.21 2.25 2.34 2.31 2.17 2.49 2.52 2.06 2.24
[151] 2.24 2.33 2.51 2.51 2.19 2.55 2.34 2.60 2.40 2.40 2.11 2.29 2.25 2.32 2.46
[166] 2.41 2.49 2.29 2.44 2.37 2.43 2.41 2.50 2.23 2.40 2.24 2.51 2.42 2.19 2.05
[181] 2.33 2.32 2.28 2.42 2.28 2.48 2.50 2.44 2.39 2.53 2.56 2.27 2.51 2.65 2.46
[196] 2.89 2.50 1.94 2.37 2.47 2.36 2.31 2.50 2.38
[[62]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[63]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[64]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[65]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[66]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[67]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[68]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[69]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[70]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[71]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[72]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[73]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[74]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[75]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[76]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[77]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[78]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[79]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[80]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[81]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[82]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[[83]]
[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
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
> # generate correlation matrix for a number of densities
> densities <- seq(0.05, 0.20, 0.01)
> # in case of one density in particular of interest, here 10%
> N <- which(abs(densities - 0.10) < 0.6)
> # get the model residuals
> all.dat.resids <- get.resid(cortical_lhrh, covars = covars1)
> # data checking
> summary(all.dat.resids) # all regions
Structural covariance residuals
----------------------------------------
Number of outliers per region: (sorted in descending order)
lLOF riCC lMTG rBSTS lSFG rpreC lSPL rIPL rPCUN lpreC rLOF
14 13 12 12 10 10 9 9 9 8 8
rpostC lPCUN
8 7
Number of times each subject was an outlier: (sorted in descending order)
FTD560 FTD963 FTD144 FTD657 FTD610 FTD342 FTD499 FTD021 FTD754 FTD761 FTD665
8 8 6 5 4 4 4 4 3 3 3
FTD581 FTD027 FTD396 FTD014 FTD848 FTD596 FTD820 FTD104 FTD575 FTD130 FTD117
3 3 3 2 2 2 2 2 2 2 2
FTD632 FTD779 FTD133 FTD312 FTD711 FTD422 FTD360 FTD597 FTD106 FTD721 FTD636
2 2 2 2 2 2 2 2 2 2 1
FTD092 FTD745 FTD953 FTD047 FTD042 FTD211 FTD123 FTD423 FTD540 FTD059 FTD262
1 1 1 1 1 1 1 1 1 1 1
FTD566 FTD196 FTD932 FTD241 FTD214 FTD471 FTD699 FTD460 FTD165 FTD192 FTD951
1 1 1 1 1 1 1 1 1 1 1
FTD562 FTD062 FTD023 FTD809 FTD593 FTD347 FTD134 FTD380 FTD624
1 1 1 1 1 1 1 1 1
> summary(all.dat.resids, region = 'lENT') # specify the regions
Structural covariance residuals
----------------------------------------
Number of outliers per region: (sorted in descending order)
named integer(0)
Number of times each subject was an outlier: (sorted in descending order)
named integer(0)
> # data checking: plot
> plot(all.dat.resids, regions = 'lENT')[[1]]
Warning messages:
1: Removed 204 rows containing missing values (geom_text_repel).
2: Removed 204 rows containing missing values (geom_point).
> plot(all.dat.resids, regions = 'lENT', cols = TRUE)[[1]]
Warning messages:
1: Removed 204 rows containing missing values (geom_text_repel).
2: Removed 204 rows containing missing values (geom_point).
> # 1.a. correlate between pairs of regions for each group using corr.matrix
> exclude.reg <- c('lcACC','liCC','lPCC','lrACC','rcACC','rPCC','rrACC','lcMFG','lFP','lMOF','lparaC','lpOPER','lpORB','lpTRI','lrMFG','rcMFG','rFP','rMOF','rparaC','rpOPER','rpORB','rpTRI','rrMFG','rSFG','lINS','rINS','lCUN','lLING','lLOG','lperiCAL','rCUN','rLING','rLOG','rperiCAL','lpostC','lSMAR','rIPL','rSMAR','rSPL','lACCU','lAMYG','lCAUD','lHIPP','lPALL','lPUT','lTHAL','rACCU','rAMYG','rCAUD','rHIPP','rPALL','rPUT','rTHAL','lBSTS','lENT','lFUS','lITG','lPARH','lSTG','lTP','lTT','rENT','rFUS','rITG','rMTG','rPARH','rSTG','rTP','rTT') # with specified exluded regions
> corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg = exclude.reg)
Warning messages:
1: In sqrt(npair - 2) : NaNs produced
2: In sqrt(npair - 2) : NaNs produced
3: In sqrt(npair - 2) : NaNs produced
> # 1.b. correlate between pairs of regions for each group using corr.matrix
> #corrs <- corr.matrix(all.dat.resids, densities=densities) # all regions
> t(sapply(corrs, with, 0.6))
AD bv FTD Control
[1,] 0.6 0.6 0.6
> # 2.a. create the graphs
> g <- lapply(corrs, function(x)
+ apply(x$r.thresh, 3,
+ graph_from_adjacency_matrix, mode='undirected', diag=F))
> # 2.b. if you prefer graphs are weighted by the correlation coffeicient
> g <- lapply(corrs, function(x)
+ apply(x$r.thresh, 3, function(y)
+ graph_from_adjacency_matrix(x$R*y, mode='undirected', diag=F, weighted=T)))
> # 3. set the graph object attributes
> g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm", modality= 'thickness', group= y, .progress='text'), g, as.list(groups))
| | 0%Error in if (sum(colSums(W) > 0) == 0) break :
missing value where TRUE/FALSE needed
In addition: Warning message:
In min(str.tmp[which(str.tmp > 0)]) :
Error in if (sum(colSums(W) > 0) == 0) break :
missing value where TRUE/FALSE needed
Chris Watson
Aug 28, 2019, 1:21:29 AM8/28/19
to brainGr...@googlegroups.com
Hi Dion,
I discovered this bug a few weeks ago myself. It will be included in
the next release, but that won't appear for perhaps another few weeks.
In the meantime, you can edit the function before you run it, as
follows. There is a line in the function that says
if (!is.null(exclude.reg)) res.all <- res.all[, -exclude.reg, with=FALSE]
You can change it to:
if (!is.null(exclude.reg)) {
res.all <- res.all[, -exclude.reg, with=FALSE]
regions <- setdiff(regions, exclude.reg)
kNumVertices <- kNumVertices - length(exclude.reg)
}
If you still see an error, then you may need to change the 2nd line to:
res.all <- res.all[, !exclude.reg, with=FALSE]
Please try the substituted code and let me know if it works.
Chris
P.S. In the code where you use "lapply" to "assign" variables, you can
wrap the entire thing in the "invisible()" function so it doesn't
print to the console.
invisible(lapply(seq_along(cortical_lhrh), function(x)
assign(names(cortical_lhrh)[x], eval(cortical_lhrh[[x]]), envir=.GlobalEnv))))
On 8/26/19, Dion <dses...@gmail.com> wrote:
> *exclude.reg <-
>
> *corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg =
> exclude.reg)*
>
> *....*
>
> *g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm",
> modality= 'thickness', group= y, .progress='text'), g, as.list(groups))*
> --
> You received this message because you are subscribed to the Google Groups
> "brainGraph-help" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to brainGraph-he...@googlegroups.com.
> To view this discussion on the web visit
> https://groups.google.com/d/msgid/brainGraph-help/5c2d482f-1252-4e8a-9f25-5290319a9b77%40googlegroups.com.
>
I discovered this bug a few weeks ago myself. It will be included in
the next release, but that won't appear for perhaps another few weeks.
In the meantime, you can edit the function before you run it, as
follows. There is a line in the function that says
if (!is.null(exclude.reg)) res.all <- res.all[, -exclude.reg, with=FALSE]
You can change it to:
if (!is.null(exclude.reg)) {
res.all <- res.all[, -exclude.reg, with=FALSE]
regions <- setdiff(regions, exclude.reg)
kNumVertices <- kNumVertices - length(exclude.reg)
}
If you still see an error, then you may need to change the 2nd line to:
res.all <- res.all[, !exclude.reg, with=FALSE]
Please try the substituted code and let me know if it works.
Chris
P.S. In the code where you use "lapply" to "assign" variables, you can
wrap the entire thing in the "invisible()" function so it doesn't
print to the console.
invisible(lapply(seq_along(cortical_lhrh), function(x)
assign(names(cortical_lhrh)[x], eval(cortical_lhrh[[x]]), envir=.GlobalEnv))))
On 8/26/19, Dion <dses...@gmail.com> wrote:
> *exclude.reg <-
> c('lcACC','liCC','lPCC','lrACC','rcACC','rPCC','rrACC','lcMFG','lFP','lMOF','lparaC','lpOPER','lpORB','lpTRI','lrMFG','rcMFG','rFP','rMOF','rparaC','rpOPER','rpORB','rpTRI','rrMFG','rSFG','lINS','rINS','lCUN','lLING','lLOG','lperiCAL','rCUN','rLING','rLOG','rperiCAL','lpostC','lSMAR','rIPL','rSMAR','rSPL','lACCU','lAMYG','lCAUD','lHIPP','lPALL','lPUT','lTHAL','rACCU','rAMYG','rCAUD','rHIPP','rPALL','rPUT','rTHAL','lBSTS','lENT','lFUS','lITG','lPARH','lSTG','lTP','lTT','rENT','rFUS','rITG','rMTG','rPARH','rSTG','rTP','rTT')
>
> # with specified exluded regions*
>
>
> *corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg =
> exclude.reg)*
>
> *....*
>
> *g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm",
> modality= 'thickness', group= y, .progress='text'), g, as.list(groups))*
>
>
> | |
> 0%Error in if (sum(colSums(W) > 0) == 0) break :
> missing value where TRUE/FALSE needed
> In addition: Warning message:
> In min(str.tmp[which(str.tmp > 0)]) :
>
> Error in if (sum(colSums(W) > 0) == 0) break :
> missing value where TRUE/FALSE needed
>
>
> I got error like that when I tried to exclude regions.
>
> Thanks,
>
> Dion
>
>
>
>
> P.S. Here are ...
> *The Complete codes and output below: *
>
> | |
> 0%Error in if (sum(colSums(W) > 0) == 0) break :
> missing value where TRUE/FALSE needed
> In addition: Warning message:
> In min(str.tmp[which(str.tmp > 0)]) :
>
> Error in if (sum(colSums(W) > 0) == 0) break :
> missing value where TRUE/FALSE needed
>
>
> I got error like that when I tried to exclude regions.
>
> Thanks,
>
> Dion
>
>
>
>
> P.S. Here are ...
> You received this message because you are subscribed to the Google Groups
> "brainGraph-help" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to brainGraph-he...@googlegroups.com.
> To view this discussion on the web visit
> https://groups.google.com/d/msgid/brainGraph-help/5c2d482f-1252-4e8a-9f25-5290319a9b77%40googlegroups.com.
>
Philipp Riedel
Aug 29, 2019, 2:22:57 PM8/29/19
to brainGraph-help
Hi Dion,
I'm not sure whether this correctly addresses and helps with your inquiry, but I wanted to share an idea. I needed to exclude regions as well and took a different approach which ran without any issues.
First, I excluded the regions from the data.frame that contained the regions' time courses (rs-fMRI) and created a correlation matrix from that:
roiTC <- subset(roiTC, select = -c(V1, V2, V3, V4, V5, V6, V7))
roiCM <- cor(roiTC)
Second, I customized the atlas I am using:
destrieux.scgm.edit <- destrieux.scgm[order(destrieux.scgm$index),]
destrieux.scgm.edit <- destrieux.scgm.edit[-c(1, 2, 3, 4, 5, 6), ]
atlas <- 'destrieux.scgm.edit'
Best,
Philipp
...
Chris Watson
Aug 29, 2019, 11:21:33 PM8/29/19
to brainGr...@googlegroups.com
Thanks Philipp. That is indeed an approach that should work without issue.
In the next version it shouldn't be necessary, but for anyone planning
on excluding regions from the start, Philipp's suggestion is
appropriate.
Chris
On 8/29/19, Philipp Riedel <philipp.rie...@gmail.com> wrote:
> Hi Dion,
>
> I'm not sure whether this correctly addresses and helps with your inquiry,
> but I wanted to share an idea. I needed to exclude regions as well and
> took a different approach which ran without any issues.
>
> First, I excluded the regions from the data.frame that contained the
> regions' time courses (rs-fMRI) and created a correlation matrix from that:
>
>
> roiTC <- subset(roiTC, select = -c(V1, V2, V3, V4, V5, V6, V7))
>
> roiCM <- cor(roiTC)
>
> Second, I customized the atlas I am using:
>
> destrieux.scgm.edit <- destrieux.scgm[order(destrieux.scgm$index),]
>
> destrieux.scgm.edit <- destrieux.scgm.edit[-c(1, 2, 3, 4, 5, 6), ]
>
> atlas <- 'destrieux.scgm.edit'
>
> Best,
> Philipp
>
>
> On Monday, August 26, 2019 at 1:56:18 AM UTC-7, Dion wrote:
>>
>> *exclude.reg <-
>>
>> *corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg =
>> exclude.reg)*
>>
>> *....*
>>
>> *g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm",
>> modality= 'thickness', group= y, .progress='text'), g, as.list(groups))*
>
In the next version it shouldn't be necessary, but for anyone planning
on excluding regions from the start, Philipp's suggestion is
appropriate.
Chris
On 8/29/19, Philipp Riedel <philipp.rie...@gmail.com> wrote:
> Hi Dion,
>
> I'm not sure whether this correctly addresses and helps with your inquiry,
> but I wanted to share an idea. I needed to exclude regions as well and
> took a different approach which ran without any issues.
>
> First, I excluded the regions from the data.frame that contained the
> regions' time courses (rs-fMRI) and created a correlation matrix from that:
>
>
> roiTC <- subset(roiTC, select = -c(V1, V2, V3, V4, V5, V6, V7))
>
> roiCM <- cor(roiTC)
>
> Second, I customized the atlas I am using:
>
> destrieux.scgm.edit <- destrieux.scgm[order(destrieux.scgm$index),]
>
> destrieux.scgm.edit <- destrieux.scgm.edit[-c(1, 2, 3, 4, 5, 6), ]
>
> atlas <- 'destrieux.scgm.edit'
>
> Best,
> Philipp
>
>
> On Monday, August 26, 2019 at 1:56:18 AM UTC-7, Dion wrote:
>>
>> c('lcACC','liCC','lPCC','lrACC','rcACC','rPCC','rrACC','lcMFG','lFP','lMOF','lparaC','lpOPER','lpORB','lpTRI','lrMFG','rcMFG','rFP','rMOF','rparaC','rpOPER','rpORB','rpTRI','rrMFG','rSFG','lINS','rINS','lCUN','lLING','lLOG','lperiCAL','rCUN','rLING','rLOG','rperiCAL','lpostC','lSMAR','rIPL','rSMAR','rSPL','lACCU','lAMYG','lCAUD','lHIPP','lPALL','lPUT','lTHAL','rACCU','rAMYG','rCAUD','rHIPP','rPALL','rPUT','rTHAL','lBSTS','lENT','lFUS','lITG','lPARH','lSTG','lTP','lTT','rENT','rFUS','rITG','rMTG','rPARH','rSTG','rTP','rTT')
>>
>> # with specified exluded regions*
>>
>>
>> *corrs <- corr.matrix(all.dat.resids, densities=densities, exclude.reg =
>> exclude.reg)*
>>
>> *....*
>>
>> *g <- Map(function(x, y) llply(x, set_brainGraph_attr, atlas="dk.scgm",
>> modality= 'thickness', group= y, .progress='text'), g, as.list(groups))*
>>
>>
>> | |
>>
>> 0%Error in if (sum(colSums(W) > 0) == 0) break :
>> missing value where TRUE/FALSE needed
>> In addition: Warning message:
>> In min(str.tmp[which(str.tmp > 0)]) :
>>
>> Error in if (sum(colSums(W) > 0) == 0) break :
>> missing value where TRUE/FALSE needed
>>
>>
>> I got error like that when I tried to exclude regions.
>>
>> Thanks,
>>
>> Dion
>>
>>
>>
>>
>> P.S. Here are ...
>> *The Complete codes and output below: *
>>
>> | |
>>
>> 0%Error in if (sum(colSums(W) > 0) == 0) break :
>> missing value where TRUE/FALSE needed
>> In addition: Warning message:
>> In min(str.tmp[which(str.tmp > 0)]) :
>>
>> Error in if (sum(colSums(W) > 0) == 0) break :
>> missing value where TRUE/FALSE needed
>>
>>
>> I got error like that when I tried to exclude regions.
>>
>> Thanks,
>>
>> Dion
>>
>>
>>
>>
>> P.S. Here are ...
> --
> You received this message because you are subscribed to the Google Groups
> "brainGraph-help" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to brainGraph-he...@googlegroups.com.
> To view this discussion on the web visit
> https://groups.google.com/d/msgid/brainGraph-help/a1bbbee7-d20d-4153-99de-71fb3d46af6b%40googlegroups.com.
> You received this message because you are subscribed to the Google Groups
> "brainGraph-help" group.
> To unsubscribe from this group and stop receiving emails from it, send an
> email to brainGraph-he...@googlegroups.com.
> To view this discussion on the web visit
>
Reply all
Reply to author
Forward
0 new messages