R : Copyright 2005, The R Foundation for Statistical Computing Version 2.1.1 (2005-06-20), ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for a HTML browser interface to help. Type 'q()' to quit R. > ### *
> ### > attach(NULL, name = "CheckExEnv") > assign(".CheckExEnv", as.environment(2), pos = length(search())) # base > ## add some hooks to label plot pages for base and grid graphics > setHook("plot.new", ".newplot.hook") > setHook("persp", ".newplot.hook") > setHook("grid.newpage", ".gridplot.hook") > > assign("cleanEx", + function(env = .GlobalEnv) { + rm(list = ls(envir = env, all.names = TRUE), envir = env) + RNGkind("default", "default") + set.seed(1) + options(warn = 1) + delayedAssign("T", stop("T used instead of TRUE"), + assign.env = .CheckExEnv) + delayedAssign("F", stop("F used instead of FALSE"), + assign.env = .CheckExEnv) + sch <- search() + newitems <- sch[! sch %in% .oldSearch] + for(item in rev(newitems)) + eval(substitute(detach(item), list(item=item))) + missitems <- .oldSearch[! .oldSearch %in% sch] + if(length(missitems)) + warning("items ", paste(missitems, collapse=", "), + " have been removed from the search path") + }, + env = .CheckExEnv) > assign("..nameEx", "__{must remake R-ex/*.R}__", env = .CheckExEnv) # for now > assign("ptime", proc.time(), env = .CheckExEnv) > grDevices::postscript("labdsv-Examples.ps") > assign("par.postscript", graphics::par(no.readonly = TRUE), env = .CheckExEnv) > options(contrasts = c(unordered = "contr.treatment", ordered = "contr.poly")) > options(warn = 1) > library('labdsv') Loading required package: mgcv This is mgcv 1.3-1 Loading required package: MASS Loading required package: akima > > assign(".oldSearch", search(), env = .CheckExEnv) > assign(".oldNS", loadedNamespaces(), env = .CheckExEnv) > cleanEx(); ..nameEx <- "abuocc" > > ### * abuocc > > flush(stderr()); flush(stdout()) > > ### Name: abuocc > ### Title: Abundance/Occurrence Graphical Analysis > ### Aliases: abuocc > ### Keywords: multivariate > > ### ** Examples > > ## Not run: data(bryceveg) # produces a data.frame called bryceveg > ## Not run: abuocc(bryceveg) > > > > cleanEx(); ..nameEx <- "confus" > > ### * confus > > flush(stderr()); flush(stdout()) > > ### Name: confus > ### Title: Confusion Matrix > ### Aliases: confus > ### Keywords: htest > > ### ** Examples > > data(bryceveg) # returns a data frame of vegetation data > data(brycesite) > ## Not run: library(tree) > ## Not run: > ##D mod <- tree(factor(bryceveg$arcpat>0)~ > ##D elev+slope+av,data=brycesite) > ## End(Not run) > ## Not run: pred <- predict(mod,newdata=brycesite) > ## Not run: confus(bryceveg$arcpat>0,pred) > > > > cleanEx(); ..nameEx <- "const" > > ### * const > > flush(stderr()); flush(stdout()) > > ### Name: const > ### Title: Constancy Table > ### Aliases: const > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a data.frame called bryceveg > class <- sample(1:10,nrow(bryceveg),replace=TRUE) > const(bryceveg,class,minval=0.25) 1 2 3 4 5 6 7 8 9 10 ameuta 0.09 0.15 0.05 0.29 0.04 0.00 0.11 0.30 0.25 0.16 arcpat 0.45 0.38 0.42 0.76 0.50 0.25 0.38 0.50 0.58 0.33 ceamar 0.45 0.30 0.31 0.47 0.36 0.18 0.27 0.55 0.50 0.25 cermon 0.09 0.23 0.21 0.29 0.22 0.18 0.16 0.25 0.25 0.08 chrvis 0.18 0.46 0.21 0.11 0.27 0.43 0.27 0.05 0.08 0.58 juncom 0.27 0.15 0.26 0.35 0.22 0.25 0.22 0.35 0.16 0.08 pacmyr 0.27 0.15 0.31 0.41 0.31 0.25 0.38 0.35 0.16 0.25 purtri 0.36 0.38 0.42 0.47 0.36 0.31 0.44 0.45 0.41 0.33 ribcer 0.36 0.00 0.21 0.23 0.27 0.18 0.16 0.25 0.00 0.00 symore 0.54 0.38 0.47 0.64 0.45 0.37 0.55 0.70 0.41 0.41 artarb 0.09 0.30 0.26 0.17 0.31 0.37 0.11 0.15 0.00 0.50 artfri 0.09 0.00 0.10 0.00 0.04 0.31 0.11 0.05 0.00 0.16 berrep 0.45 0.15 0.42 0.58 0.40 0.18 0.33 0.60 0.66 0.41 gutsar 0.09 0.07 0.00 0.05 0.27 0.06 0.00 0.10 0.00 0.08 tetcan 0.18 0.23 0.15 0.17 0.31 0.25 0.22 0.20 0.08 0.33 bougra 0.00 0.30 0.10 0.05 0.18 0.06 0.11 0.10 0.08 0.25 broano 0.09 0.00 0.10 0.00 0.09 0.12 0.05 0.00 0.00 0.25 carrss 0.54 0.23 0.47 0.76 0.54 0.43 0.55 0.65 0.75 0.41 koenit 0.18 0.23 0.15 0.05 0.22 0.37 0.11 0.15 0.08 0.25 oryhym 0.27 0.23 0.26 0.29 0.31 0.25 0.27 0.30 0.25 0.16 poafen 0.00 0.23 0.36 0.11 0.22 0.25 0.22 0.10 0.33 0.25 sithys 0.27 0.38 0.42 0.11 0.36 0.25 0.33 0.30 0.08 0.33 sticom 0.09 0.30 0.21 0.11 0.27 0.31 0.16 0.15 0.00 0.41 achmil 0.36 0.15 0.21 0.17 0.13 0.18 0.16 0.10 0.08 0.16 agogla 0.09 0.07 0.10 0.00 0.09 0.31 0.05 0.05 0.00 0.25 astmis 0.27 0.07 0.21 0.17 0.22 0.12 0.22 0.20 0.08 0.16 calnut 0.09 0.38 0.15 0.05 0.18 0.25 0.11 0.05 0.08 0.25 caschr 0.09 0.30 0.10 0.05 0.04 0.06 0.05 0.05 0.00 0.25 caslin 0.00 0.15 0.10 0.29 0.31 0.00 0.05 0.05 0.25 0.08 chadou 0.09 0.00 0.05 0.05 0.04 0.12 0.00 0.10 0.00 0.25 corkin 0.00 0.15 0.05 0.05 0.22 0.25 0.11 0.15 0.00 0.00 drasub 0.36 0.00 0.00 0.17 0.31 0.00 0.16 0.15 0.16 0.00 eriala 0.27 0.15 0.21 0.11 0.31 0.06 0.16 0.05 0.16 0.25 erirac 0.09 0.38 0.21 0.05 0.22 0.18 0.16 0.25 0.25 0.50 euplur 0.27 0.15 0.15 0.11 0.18 0.18 0.11 0.25 0.00 0.08 hymfil 0.36 0.00 0.10 0.11 0.09 0.00 0.22 0.15 0.08 0.00 hymric 0.18 0.15 0.21 0.35 0.22 0.06 0.11 0.15 0.33 0.25 leppun 0.09 0.30 0.05 0.05 0.18 0.18 0.11 0.10 0.00 0.33 lesint 0.00 0.15 0.15 0.17 0.13 0.12 0.11 0.05 0.00 0.25 linlew 0.09 0.07 0.10 0.11 0.18 0.31 0.16 0.10 0.08 0.33 litmul 0.36 0.00 0.10 0.17 0.13 0.06 0.05 0.05 0.00 0.00 lotuta 0.18 0.30 0.10 0.11 0.22 0.18 0.00 0.25 0.08 0.33 macgri 0.18 0.07 0.10 0.35 0.09 0.00 0.11 0.05 0.41 0.00 oenlav 0.09 0.15 0.15 0.05 0.22 0.25 0.11 0.05 0.08 0.25 pedcan 0.27 0.15 0.26 0.11 0.27 0.12 0.22 0.25 0.16 0.25 pencom 0.00 0.23 0.10 0.05 0.09 0.06 0.00 0.10 0.00 0.33 senmul 0.63 0.46 0.47 0.35 0.59 0.43 0.33 0.45 0.08 0.91 swerad 0.27 0.15 0.10 0.35 0.13 0.00 0.11 0.20 0.25 0.00 > > > > cleanEx(); ..nameEx <- "dga" > > ### * dga > > flush(stderr()); flush(stdout()) > > ### Name: dga > ### Title: Direct Gradient Analysis > ### Aliases: dga > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a data.frame called bryceveg > data(brycesite) > dga(bryceveg$arcpat,brycesite$elev,brycesite$grorad) Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.200000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 Warning: non-integer x = 0.500000 > > > > cleanEx(); ..nameEx <- "disana" > > ### * disana > > flush(stderr()); flush(stdout()) > > ### Name: disana > ### Title: Dissimilarity Analysis > ### Aliases: disana > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a data.frame called veg > dis.bc <- dsvdis(bryceveg,'bray/curtis') > ## Not run: disana(dis.bc) > > > > cleanEx(); ..nameEx <- "dsvdis" > > ### * dsvdis > > flush(stderr()); flush(stdout()) > > ### Name: dsvdis > ### Title: Dissimilarity Indices and Distance Measures > ### Aliases: dsvdis > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a dataframe called "bryceveg" > dis.ochiai <- dsvdis(bryceveg,index="ochiai") > dis.bc <- dsvdis(bryceveg,index="bray/curtis") > > > > cleanEx(); ..nameEx <- "duarm" > > ### * duarm > > flush(stderr()); flush(stdout()) > > ### Name: duarm > ### Title: Indicator Species Analysis Minimizing Partial Occurrences > ### Aliases: duarm > ### Keywords: cluster > > ### ** Examples > > data(bryceveg) > dis.bc <- dsvdis(bryceveg,'bray/curtis') > clust <- sample(1:5,nrow(bryceveg),replace=TRUE) > duarm(bryceveg,clust) result junost 0.952 ameuta 0.716 arcpat 0.156 arttri 0.812 atrcan 0.840 berfre 0.924 ceamar 0.272 cerled 0.940 cermon 0.604 chrdep 0.992 chrnau 0.976 chrpar 0.924 chrvis 0.476 eurlan 0.924 juncom 0.548 pacmyr 0.440 pruvir 0.984 purtri 0.216 quegam 0.720 rhutri 0.976 ribcer 0.672 roswoo 0.968 samcoe 0.892 shearg 0.992 sherot 0.924 symore 0.160 arcuva 0.992 artarb 0.544 artfri 0.844 artpyg 0.976 atrcon 0.992 berrep 0.188 ericor 0.932 gutsar 0.852 tetcan 0.580 agrcri 0.960 agrdas 0.896 agrscr 0.984 agrsmi 0.848 bougra 0.748 broano 0.868 brocil 0.956 broine 0.964 carrss 0.168 elysal 0.916 fesovi 0.972 hiljam 0.980 junbal 0.928 koenit 0.648 muhmon 0.912 muhric 0.980 oryhym 0.488 orymic 0.956 phlpra 0.992 poacom 0.984 poafen 0.584 poanev 0.920 poapra 0.940 sithys 0.432 sticom 0.604 stilet 0.984 stipin 0.872 achmil 0.664 agogla 0.808 anemul 0.992 antros 0.976 antros.1 0.916 apoand 0.928 arahol 0.968 arapen 0.984 arefen 0.976 artcar 0.992 artlud 0.940 astagr 0.964 astchi 0.992 astcon 0.816 asthum 0.884 astken 0.936 astmeg 0.884 astmis 0.656 astten 0.992 balsag 0.976 calnut 0.680 caschr 0.800 caslin 0.736 chadou 0.868 cirneo 0.948 compal 0.940 corkin 0.804 creint 0.968 crycon 0.892 cympur 0.976 dessop 0.992 drasub 0.740 echtri 0.992 eriala 0.652 erican 0.956 erieat 0.992 erifla 0.884 eripan 0.952 eripum 0.912 erirac 0.532 erisub 0.992 eriumb 0.884 eupfen 0.856 euplur 0.708 euprob 0.932 fraves 0.968 genaff 0.992 gerfre 0.924 gerric 0.984 gilcon 0.848 haparm 0.888 heddru 0.992 hymaca 0.808 hymfil 0.784 hymric 0.600 ipoagg 0.964 irimis 0.984 ivesab 0.992 leppun 0.724 lesint 0.776 leueri 0.992 ligpor 0.984 linkin 0.864 linlew 0.700 litinc 0.992 litmul 0.824 lotuta 0.640 lupkin 0.948 lupser 0.924 lyggra 0.948 lygspi 0.992 macgri 0.736 molpar 0.956 oenbra 0.900 oencae 0.912 oencor 0.948 oenfla 0.992 oenlav 0.724 opueri 0.824 orofas 0.972 pedcan 0.588 pedsim 0.976 pencae 0.760 pencom 0.808 penlei 0.984 penuta 0.992 phllon 0.936 phycha 0.944 potcon 0.976 potcri 0.964 potgra 0.952 pteand 0.908 pyrvir 0.992 salibe 0.984 sclwhi 0.976 senmul 0.104 sphcoc 0.840 stapin 0.992 steten 0.944 strcor 0.992 swerad 0.696 taroff 0.944 thafen 0.984 towmin 0.976 tradub 0.892 valacu 0.992 vicame 0.992 > > > > cleanEx(); ..nameEx <- "duleg" > > ### * duleg > > flush(stderr()); flush(stdout()) > > ### Name: duleg > ### Title: Dufrene-Legendre Indicator Species Analysis > ### Aliases: duleg summary.duleg > ### Keywords: cluster > > ### ** Examples > > data(bryceveg) # returns a vegetation dataframe > dis.bc <- dsvdis(bryceveg,'bray/curtis') # returns a dissimilarity matrix > clust <- sample(1:5,nrow(bryceveg),replace=TRUE) > duleg(bryceveg,clust) $relfrq 1 2 3 4 5 1 0.04166667 0.02777778 0.02631579 0.00000000 0.04166667 2 0.12500000 0.16666667 0.02631579 0.21052632 0.20833333 3 0.41666667 0.58333333 0.39473684 0.44736842 0.45833333 4 0.16666667 0.08333333 0.05263158 0.10526316 0.08333333 5 0.12500000 0.05555556 0.05263158 0.10526316 0.08333333 6 0.04166667 0.05555556 0.02631579 0.00000000 0.08333333 7 0.37500000 0.38888889 0.28947368 0.42105263 0.37500000 8 0.04166667 0.05555556 0.00000000 0.02631579 0.04166667 9 0.16666667 0.25000000 0.21052632 0.21052632 0.16666667 10 0.00000000 0.02777778 0.00000000 0.00000000 0.00000000 11 0.00000000 0.00000000 0.00000000 0.02631579 0.04166667 12 0.04166667 0.02777778 0.07894737 0.02631579 0.04166667 13 0.33333333 0.16666667 0.34210526 0.15789474 0.33333333 14 0.08333333 0.02777778 0.00000000 0.05263158 0.04166667 15 0.20833333 0.30555556 0.23684211 0.28947368 0.12500000 16 0.20833333 0.36111111 0.28947368 0.36842105 0.20833333 17 0.00000000 0.00000000 0.02631579 0.02631579 0.00000000 18 0.37500000 0.44444444 0.34210526 0.44736842 0.37500000 19 0.16666667 0.19444444 0.10526316 0.13157895 0.12500000 20 0.00000000 0.02777778 0.00000000 0.00000000 0.04166667 21 0.16666667 0.22222222 0.23684211 0.21052632 0.00000000 22 0.00000000 0.02777778 0.02631579 0.00000000 0.04166667 23 0.08333333 0.08333333 0.05263158 0.02631579 0.04166667 24 0.00000000 0.02777778 0.00000000 0.00000000 0.00000000 25 0.04166667 0.08333333 0.02631579 0.05263158 0.00000000 26 0.45833333 0.55555556 0.42105263 0.63157895 0.41666667 27 0.00000000 0.02777778 0.00000000 0.00000000 0.00000000 28 0.20833333 0.22222222 0.34210526 0.13157895 0.25000000 29 0.04166667 0.05555556 0.15789474 0.07894737 0.08333333 30 0.00000000 0.02777778 0.00000000 0.00000000 0.04166667 31 0.00000000 0.00000000 0.02631579 0.00000000 0.00000000 32 0.29166667 0.50000000 0.31578947 0.47368421 0.54166667 33 0.04166667 0.02777778 0.00000000 0.07894737 0.04166667 34 0.08333333 0.02777778 0.18421053 0.05263158 0.04166667 35 0.20833333 0.16666667 0.28947368 0.21052632 0.20833333 36 0.08333333 0.02777778 0.00000000 0.00000000 0.00000000 37 0.04166667 0.02777778 0.13157895 0.07894737 0.00000000 38 0.04166667 0.00000000 0.00000000 0.00000000 0.00000000 39 0.12500000 0.05555556 0.07894737 0.10526316 0.04166667 40 0.16666667 0.08333333 0.13157895 0.10526316 0.16666667 41 0.04166667 0.05555556 0.10526316 0.02631579 0.12500000 42 0.00000000 0.02777778 0.00000000 0.05263158 0.04166667 43 0.04166667 0.00000000 0.05263158 0.00000000 0.00000000 44 0.37500000 0.61111111 0.50000000 0.60526316 0.58333333 45 0.00000000 0.05555556 0.02631579 0.10526316 0.04166667 46 0.00000000 0.00000000 0.02631579 0.05263158 0.00000000 47 0.00000000 0.05555556 0.00000000 0.00000000 0.00000000 48 0.00000000 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0.000000000 0.000000000 0.0087719302 0.035087721 0.000000000 47 0.000000000 0.055555555 0.0000000000 0.000000000 0.000000000 48 0.000000000 0.001789077 0.0289027658 0.009634255 0.016101695 49 0.058870397 0.011960970 0.0811838381 0.016773520 0.033640227 50 0.003508124 0.001559166 0.0615719481 0.002798725 0.007016248 51 0.000000000 0.000000000 0.0526315771 0.000000000 0.000000000 52 0.045599999 0.067555555 0.0611368414 0.061136841 0.031666666 53 0.000000000 0.024983564 0.0056057304 0.000000000 0.014053255 54 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 55 0.000000000 0.009595960 0.0172248807 0.000000000 0.000000000 56 0.024105847 0.059690669 0.0494518050 0.021978580 0.064282259 57 0.011642157 0.000000000 0.0278637776 0.004643963 0.011642157 58 0.000000000 0.006744764 0.0408609372 0.001513368 0.007587859 59 0.118710945 0.055537284 0.0523373520 0.052337352 0.023429792 60 0.034537083 0.026094685 0.0757711065 0.022042504 0.057561804 61 0.000000000 0.014264265 0.0128022763 0.000000000 0.000000000 62 0.019114689 0.002123854 0.0571852189 0.007624696 0.004778672 63 0.072765957 0.044018912 0.0290257558 0.020156775 0.018191489 64 0.013868613 0.006163828 0.0677679604 0.005532078 0.031204380 65 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 66 0.025537634 0.000000000 0.0101867570 0.000000000 0.000000000 67 0.067006268 0.013235806 0.0029698069 0.002969807 0.000000000 68 0.000000000 0.000000000 0.0587515313 0.000000000 0.036821706 69 0.000000000 0.008057676 0.0072318200 0.000000000 0.018129771 70 0.000000000 0.014264265 0.0128022763 0.000000000 0.000000000 71 0.025537634 0.000000000 0.0101867570 0.000000000 0.000000000 72 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 73 0.010602678 0.004712302 0.0169172931 0.000000000 0.010602678 74 0.000000000 0.007229833 0.0259553004 0.006488825 0.000000000 75 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 76 0.058371735 0.014592934 0.0058210041 0.036381276 0.003648233 77 0.022458630 0.000000000 0.0358342685 0.020156776 0.005614658 78 0.009693877 0.004308390 0.0038668098 0.000000000 0.038775510 79 0.022352943 0.002483660 0.0022291023 0.055727558 0.005588236 80 0.031535271 0.042923007 0.0385236961 0.050316664 0.017738590 81 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 82 0.017857143 0.015873016 0.0000000000 0.000000000 0.000000000 83 0.076475851 0.015106341 0.0542321827 0.007626401 0.033989267 84 0.083158258 0.013305321 0.0053073858 0.005307386 0.029936973 85 0.010193133 0.055495945 0.0498079947 0.004065959 0.040772531 86 0.004907025 0.008723600 0.0176163554 0.007829491 0.044163224 87 0.011699507 0.005199781 0.0046668395 0.018667358 0.000000000 88 0.010508850 0.018682400 0.0000000000 0.004191896 0.010508850 89 0.013688762 0.006083894 0.1105718247 0.034127106 0.000000000 90 0.000000000 0.000000000 0.0000000000 0.000000000 0.083333331 91 0.052134148 0.002574526 0.0023106548 0.020795893 0.005792683 92 0.000000000 0.000000000 0.0000000000 0.010186757 0.025537634 93 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 94 0.041125542 0.010281385 0.0502392355 0.036910459 0.010281385 95 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 96 0.048272359 0.030894310 0.0492939684 0.012323492 0.048272359 97 0.000000000 0.006320692 0.0226914599 0.000000000 0.014221557 98 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 99 0.005562061 0.009888108 0.0354985824 0.002218661 0.022248243 100 0.012632979 0.005614657 0.0050391938 0.000000000 0.012632979 101 0.000000000 0.030158730 0.0120300751 0.012030075 0.007539683 102 0.052745219 0.016279388 0.0374038115 0.037403812 0.118676742 103 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 104 0.050058548 0.009888108 0.0199679526 0.008874646 0.000000000 105 0.004567308 0.008119658 0.0291497968 0.007287449 0.041105768 106 0.057311774 0.025471899 0.0448079640 0.044807964 0.002292471 107 0.000000000 0.016493057 0.0333059235 0.014802633 0.000000000 108 0.020833333 0.000000000 0.0000000000 0.000000000 0.020833333 109 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 110 0.000000000 0.034050180 0.0033955858 0.013582343 0.008512545 111 0.041666665 0.000000000 0.0000000000 0.000000000 0.000000000 112 0.017625232 0.031333747 0.0439410228 0.001757641 0.004406308 113 0.023058251 0.010248112 0.0022994378 0.009197751 0.023058251 114 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 115 0.030933431 0.038189421 0.0054840432 0.021936173 0.013748192 116 0.049934295 0.022193020 0.0049795973 0.061000067 0.003120893 117 0.026407226 0.073353406 0.0237006684 0.019750557 0.080872130 118 0.000000000 0.000000000 0.0293757656 0.000000000 0.018410853 119 0.000000000 0.000000000 0.0131578946 0.013157895 0.000000000 120 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 121 0.060279183 0.004286520 0.0471279686 0.015388724 0.038578677 122 0.011860174 0.047440697 0.0295683012 0.010644588 0.026685392 123 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 124 0.000000000 0.000000000 0.0000000000 0.000000000 0.041666665 125 0.040791985 0.024173028 0.0072318200 0.007231820 0.004532443 126 0.009004740 0.016008426 0.0727363452 0.022449489 0.056279622 127 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 128 0.059936910 0.041622854 0.0239083518 0.005977088 0.000000000 129 0.068564561 0.013543617 0.0486219601 0.018992953 0.047614278 130 0.012768817 0.000000000 0.0203735140 0.000000000 0.012768817 131 0.034050180 0.000000000 0.0033955858 0.013582343 0.008512545 132 0.000000000 0.005199781 0.0420015556 0.000000000 0.011699507 133 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 134 0.022739362 0.071867612 0.0040313550 0.009070549 0.063164893 135 0.000000000 0.006320692 0.0226914599 0.000000000 0.014221557 136 0.000000000 0.025537634 0.0229202033 0.002546689 0.025537634 137 0.000000000 0.000000000 0.0120300751 0.012030075 0.067857143 138 0.000000000 0.005199781 0.0420015556 0.000000000 0.011699507 139 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 140 0.020976447 0.016573983 0.0753060256 0.011156448 0.037291461 141 0.003806090 0.015224359 0.0546558718 0.037955467 0.003806090 142 0.000000000 0.037698412 0.0084586466 0.000000000 0.000000000 143 0.041004834 0.035719766 0.0418726368 0.052995056 0.041004834 144 0.000000000 0.009595960 0.0086124403 0.008612440 0.000000000 145 0.044496487 0.019776216 0.0399359052 0.017749291 0.011124122 146 0.030844154 0.013708513 0.0123034851 0.005468216 0.054834051 147 0.041666665 0.000000000 0.0000000000 0.000000000 0.000000000 148 0.000000000 0.000000000 0.0263157893 0.000000000 0.000000000 149 0.009693877 0.004308390 0.0038668098 0.000000000 0.038775510 150 0.000000000 0.020596207 0.0184852382 0.000000000 0.011585366 151 0.025537634 0.000000000 0.0000000000 0.010186757 0.000000000 152 0.000000000 0.007229833 0.0259553004 0.006488825 0.000000000 153 0.012632979 0.005614657 0.0050391938 0.000000000 0.012632979 154 0.111764703 0.012418300 0.0000000000 0.002786378 0.000000000 155 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 156 0.000000000 0.000000000 0.0000000000 0.000000000 0.041666665 157 0.000000000 0.009595960 0.0086124403 0.008612440 0.000000000 158 0.123310293 0.072964670 0.1164200833 0.065486297 0.105069125 159 0.063758388 0.001771066 0.0143058987 0.014305899 0.015939597 160 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 161 0.000000000 0.020596207 0.0184852382 0.000000000 0.011585366 162 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 163 0.054773984 0.062320622 0.0078656048 0.031462419 0.019718634 164 0.000000000 0.000000000 0.0188531022 0.018853102 0.011815920 165 0.000000000 0.000000000 0.0131578946 0.013157895 0.000000000 166 0.024999999 0.011111111 0.0000000000 0.000000000 0.000000000 167 0.004638672 0.002061632 0.0666118469 0.007401316 0.004638672 168 0.000000000 0.000000000 0.0000000000 0.026315789 0.000000000 169 0.000000000 0.027777778 0.0000000000 0.000000000 0.000000000 $maxcls [1] 1 4 2 1 1 5 4 2 2 2 5 3 1 4 2 4 3 4 5 5 3 5 1 2 2 4 2 3 3 5 3 5 4 3 3 1 3 [38] 1 4 1 3 4 3 4 4 4 2 3 3 3 3 2 2 4 3 5 3 3 1 3 2 3 1 3 4 1 1 3 5 2 1 3 3 3 [75] 3 1 3 5 4 4 2 1 1 1 2 5 4 2 3 5 1 5 3 3 4 3 3 2 3 1 2 5 4 1 5 1 3 5 3 2 1 [112] 3 5 2 2 4 5 3 3 2 1 2 2 5 1 3 2 1 1 3 1 3 3 2 3 2 5 3 3 3 3 2 4 2 1 5 1 3 [149] 5 2 1 3 1 1 4 5 2 1 1 4 2 2 2 4 3 1 3 4 2 $indcls [1] 0.01263298 0.07470289 0.11964558 0.04915334 0.04097772 0.02672830 [7] 0.08997055 0.01611535 0.06822262 0.02777778 0.02553763 0.01860625 [13] 0.10470242 0.01907453 0.12183747 0.09454390 0.01315789 0.12221210 [19] 0.03686500 0.02500000 0.06492119 0.01812977 0.02214452 0.02777778 [25] 0.02553763 0.15817952 0.02777778 0.09381969 0.06018576 0.01785714 [31] 0.02631579 0.12605256 0.04994912 0.08709390 0.07101229 0.06250000 [37] 0.08413573 0.04166666 0.03049878 0.03792415 0.05005910 0.02269146 [43] 0.02937577 0.16989844 0.03424223 0.03508772 0.05555556 0.02890277 [49] 0.08118384 0.06157195 0.05263158 0.06755555 0.02498356 0.02631579 [55] 0.01722488 0.06428226 0.02786378 0.04086094 0.11871094 0.07577111 [61] 0.01426427 0.05718522 0.07276595 0.06776796 0.02631579 0.02553763 [67] 0.06700627 0.05875153 0.01812977 0.01426427 0.02553763 0.02631579 [73] 0.01691729 0.02595530 0.02631579 0.05837173 0.03583427 0.03877551 [79] 0.05572756 0.05031667 0.02777778 0.01785714 0.07647585 0.08315825 [85] 0.05549594 0.04416322 0.01866736 0.01868240 0.11057182 0.08333333 [91] 0.05213415 0.02553763 0.02631579 0.05023924 0.02631579 0.04929397 [97] 0.02269146 0.02777778 0.03549858 0.01263298 0.03015873 0.11867674 [103] 0.02631579 0.05005855 0.04110577 0.05731177 0.03330592 0.02083333 [109] 0.02631579 0.03405018 0.04166666 0.04394102 0.02305825 0.02777778 [115] 0.03818942 0.06100007 0.08087213 0.02937577 0.01315789 0.02777778 [121] 0.06027918 0.04744070 0.02777778 0.04166666 0.04079198 0.07273635 [127] 0.02777778 0.05993691 0.06856456 0.02037351 0.03405018 0.04200156 [133] 0.02631579 0.07186761 0.02269146 0.02553763 0.06785715 0.04200156 [139] 0.02631579 0.07530603 0.05465587 0.03769841 0.05299506 0.00959596 [145] 0.04449649 0.05483405 0.04166666 0.02631579 0.03877551 0.02059621 [151] 0.02553763 0.02595530 0.01263298 0.11176471 0.02631579 0.04166666 [157] 0.00959596 0.12331029 0.06375839 0.02631579 0.02059621 0.02777778 [163] 0.06232062 0.01885310 0.01315789 0.02500000 0.06661185 0.02631579 [169] 0.02777778 $pval [1] 1.000000000 0.392607393 0.844155844 0.560439560 0.669330669 0.703296703 [7] 0.959040959 0.921078921 0.756243756 0.524475524 0.511488511 0.911088911 [13] 0.388611389 0.834165834 0.178821179 0.597402597 1.000000000 0.556443556 [19] 0.994005994 0.461538462 0.710289710 0.820179820 0.931068931 0.510489510 [25] 0.789210789 0.324675325 0.511488511 0.403596404 0.386613387 0.706293706 [31] 1.000000000 0.601398601 0.203796204 0.090909091 0.772227772 0.142857143 [37] 0.088911089 0.000999001 0.908091908 0.960039960 0.467532468 0.715284715 [43] 0.431568432 0.324675325 0.623376623 0.224775225 0.090909091 0.694305694 [49] 0.369630370 0.177822178 0.103896104 0.967032967 0.589410589 1.000000000 [55] 0.900099900 0.867132867 0.718281718 0.415584416 0.367632368 0.639360639 [61] 0.901098901 0.252747253 0.458541459 0.274725275 1.000000000 0.477522478 [67] 0.088911089 0.169830170 0.823176823 0.891108891 0.503496503 1.000000000 [73] 0.960039960 0.485514486 1.000000000 0.320679321 0.681318681 0.494505495 [79] 0.232767233 0.909090909 0.528471528 0.691308691 0.390609391 0.141858142 [85] 0.684315684 0.426573427 0.881118881 0.773226773 0.025974026 0.000999001 [91] 0.226773227 0.491508492 1.000000000 0.771228771 1.000000000 0.946053946 [97] 0.732267732 0.503496503 0.728271728 1.000000000 0.495504496 0.140859141 [103] 1.000000000 0.249750250 0.540459540 0.665334665 0.398601399 0.640359640 [109] 1.000000000 0.338661339 0.000999001 0.569430569 0.933066933 0.533466533 [115] 0.797202797 0.427572428 0.459540460 0.440559441 1.000000000 0.510489510 [121] 0.611388611 0.637362637 0.540459540 0.000999001 0.522477522 0.485514486 [127] 0.530469530 0.258741259 0.606393606 0.753246753 0.583416583 0.393606394 [133] 1.000000000 0.273726274 0.696303696 0.739260739 0.063936064 0.410589411 [139] 1.000000000 0.333666334 0.426573427 0.231768232 0.986013986 0.915084915 [145] 0.758241758 0.530469530 0.000999001 1.000000000 0.521478521 0.629370629 [151] 0.464535465 0.461538462 1.000000000 0.017982018 1.000000000 0.000999001 [157] 0.913086913 0.759240759 0.260739261 1.000000000 0.624375624 0.519480519 [163] 0.579420579 0.714285714 1.000000000 0.502497502 0.209790210 1.000000000 [169] 0.506493506 attr(,"class") [1] "duleg" > > > > cleanEx(); ..nameEx <- "envrtest" > > ### * envrtest > > flush(stderr()); flush(stdout()) > > ### Name: envrtest > ### Title: Environmental Distribution Test > ### Aliases: envrtest > ### Keywords: cluster > > ### ** Examples > > data(bryceveg) # returns a vegetation data.frame > data(brycesite) # returns and environmental data.frame > dis.bc <- dsvdis(bryceveg,'bray/curtis') # returns a dissimilarity object > clust <- sample(1:5,nrow(bryceveg),replace=TRUE) > envrtest(clust,brycesite$elev) > > > cleanEx(); ..nameEx <- "euclidify" > > ### * euclidify > > flush(stderr()); flush(stdout()) > > ### Name: euclidify > ### Title: Nearest Euclidean Space Representation of a Dissimilarity Object > ### Aliases: euclidify > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation data.frame > dis.bc <- dsvdis(bryceveg,'bray/curtis') # calculate a Bray/Curtis > # dissimilarity matrix > dis.euc <- euclidify(dis.bc) # calculate the nearest euclidean representation > > > > cleanEx(); ..nameEx <- "importance" > > ### * importance > > flush(stderr()); flush(stdout()) > > ### Name: importance > ### Title: Importance Table > ### Aliases: importance > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a data.frame called bryceveg > class <- sample(1:10,nrow(bryceveg),replace=TRUE) > importance(bryceveg,class,minval=0.25) 1 2 3 4 5 6 7 8 9 10 arcpat 1.27 0.61 0.73 1.60 1.22 0.81 0.83 1.60 1.45 1.00 arttri 0.09 0.34 0.31 0.02 0.18 0.00 0.22 0.10 0.20 0.00 ceamar 0.36 0.15 0.15 0.41 0.27 0.09 0.16 0.37 0.37 0.20 chrvis 0.27 0.34 0.13 0.08 0.18 0.28 0.22 0.02 0.04 0.41 juncom 0.22 0.07 0.36 0.41 0.10 0.15 0.11 0.22 0.20 0.08 purtri 0.22 0.30 0.31 0.38 0.22 0.18 0.38 0.45 0.37 0.20 quegam 0.04 0.23 0.07 0.20 0.11 0.03 0.05 0.30 0.20 0.25 symore 0.27 0.26 0.28 0.41 0.27 0.18 0.30 0.40 0.20 0.20 artarb 0.18 0.61 0.50 0.38 0.68 0.56 0.27 0.30 0.00 1.04 artfri 0.04 0.00 0.05 0.00 0.02 0.25 0.05 0.02 0.00 0.20 berrep 0.27 0.11 0.28 0.35 0.29 0.12 0.25 0.47 0.37 0.29 tetcan 0.09 0.11 0.07 0.08 0.15 0.15 0.13 0.12 0.04 0.29 carrss 0.27 0.11 0.28 0.47 0.29 0.25 0.55 0.40 0.50 0.25 poafen 0.00 0.26 0.21 0.14 0.11 0.21 0.13 0.07 0.20 0.12 poapra 0.00 0.00 0.10 0.00 0.00 0.28 0.02 0.00 0.00 0.08 sithys 0.18 0.57 0.36 0.05 0.22 0.12 0.19 0.17 0.08 0.16 sticom 0.09 0.38 0.28 0.17 0.36 0.43 0.11 0.30 0.00 0.83 erirac 0.04 0.19 0.10 0.02 0.11 0.09 0.08 0.12 0.12 0.25 senmul 0.31 0.23 0.23 0.17 0.29 0.21 0.16 0.22 0.04 0.45 > > > > cleanEx(); ..nameEx <- "indspc" > > ### * indspc > > flush(stderr()); flush(stdout()) > > ### Name: indspc > ### Title: Compositional Indicator Species Analysis > ### Aliases: indspc > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation dataframe > dis.bc <- dsvdis(bryceveg,'bray/curtis') > # returns a Bray/Curtis dissimilarity matrix > indspc(bryceveg,dis.bc) indval numocc junost 0.25858123 4 ameuta 0.43953213 23 arcpat 0.41119960 74 arttri 0.36013219 15 atrcan 0.44894190 13 berfre 0.21557462 6 ceamar 0.45710715 59 cerled 0.40503246 5 cermon 0.31351936 33 chrdep 0.00000000 1 chrnau 0.04347825 2 chrpar 0.33636423 7 chrvis 0.32361347 41 eurlan 0.42209260 6 juncom 0.47775130 39 pacmyr 0.47252532 48 pruvir 0.57142860 2 purtri 0.30473693 64 quegam 0.34933051 23 rhutri 0.44585991 2 ribcer 0.50799954 29 roswoo 0.29593611 3 samcoe 0.48854692 9 shearg 0.00000000 1 sherot 0.43922702 7 symore 0.38837453 81 arcuva 0.00000000 1 artarb 0.41375420 37 artfri 0.34975683 14 artpyg 0.46153843 2 atrcon 0.00000000 1 berrep 0.42532278 68 ericor 0.32569468 6 gutsar 0.36811624 13 tetcan 0.30332969 35 agrcri 0.67377261 3 agrdas 0.30422331 10 agrscr 0.00000000 1 agrsmi 0.21971261 13 bougra 0.42746806 20 broano 0.47560085 11 brocil 0.31239203 4 broine 0.23478260 3 carrss 0.35962094 87 elysal 0.24615712 8 fesovi 0.29438972 3 hiljam 0.65116280 2 junbal 0.28282494 7 koenit 0.34586919 29 muhmon 0.50116609 8 muhric 0.39999998 2 oryhym 0.19664070 43 orymic 0.33949269 4 phlpra 0.00000000 1 poacom 0.24561405 2 poafen 0.30689019 34 poanev 0.38609675 7 poapra 0.29954073 6 sithys 0.24251970 47 sticom 0.46035215 33 stilet 0.10909092 2 stipin 0.50946191 11 achmil 0.34445135 27 agogla 0.42233474 16 anemul 0.00000000 1 antros 0.44067800 2 antros.1 0.44374085 7 apoand 0.54180864 6 arahol 0.70250088 3 arapen 0.47826087 2 arefen 0.17777777 2 artcar 0.00000000 1 artlud 0.41660444 5 astagr 0.27403365 4 astchi 0.00000000 1 astcon 0.46636268 15 asthum 0.51762047 10 astken 0.40043272 5 astmeg 0.63372718 10 astmis 0.50158026 29 astten 0.00000000 1 balsag 0.45833337 2 calnut 0.38886037 25 caschr 0.55396708 15 caslin 0.30881447 22 chadou 0.30127600 11 cirneo 0.44223062 5 compal 0.57761295 5 corkin 0.35894971 18 creint 0.28571427 2 crycon 0.27832797 9 cympur 0.57692307 2 dessop 0.00000000 1 drasub 0.44689693 22 echtri 0.00000000 1 eriala 0.29121669 28 erican 0.34210135 4 erieat 0.00000000 1 erifla 0.33187345 10 eripan 0.29281071 4 eripum 0.37870283 8 erirac 0.30132555 36 erisub 0.00000000 1 eriumb 0.57216974 10 eupfen 0.26504296 12 euplur 0.56153426 25 euprob 0.28295362 7 fraves 0.50000000 2 genaff 0.00000000 1 gerfre 0.48793975 7 gerric 0.00000000 1 gilcon 0.45163760 13 haparm 0.31823656 9 heddru 0.00000000 1 hymaca 0.32679123 16 hymfil 0.32645639 18 hymric 0.26937970 32 ipoagg 0.41626984 3 irimis 0.25000000 2 ivesab 0.00000000 1 leppun 0.55136230 22 lesint 0.30488152 19 leueri 0.00000000 1 ligpor 0.00000000 1 linkin 0.37682142 11 linlew 0.30065602 25 litinc 0.00000000 1 litmul 0.48033057 15 lotuta 0.31289359 28 lupkin 0.58759410 4 lupser 0.62662044 6 lyggra 0.44027777 5 lygspi 0.00000000 1 macgri 0.37826640 21 molpar 0.67575433 4 oenbra 0.32655651 9 oencae 0.43461623 7 oencor 0.43527895 5 oenfla 0.00000000 1 oenlav 0.43192273 23 opueri 0.26852228 16 orofas 0.53072087 3 pedcan 0.43288025 34 pedsim 0.29135336 3 pencae 0.31670192 20 pencom 0.50360741 15 penlei 0.00000000 1 penuta 0.00000000 1 phllon 0.34630275 5 phycha 0.42236875 5 potcon 0.14634144 2 potcri 0.41610036 4 potgra 0.33753307 4 pteand 0.49347784 7 pyrvir 0.00000000 1 salibe 0.00000000 1 sclwhi 0.27784946 3 senmul 0.27590078 75 sphcoc 0.38429849 13 stapin 0.00000000 1 steten 0.46090100 5 strcor 0.00000000 1 swerad 0.46448441 25 taroff 0.38854781 5 thafen 0.47368419 2 towmin 0.37837839 2 tradub 0.29184941 10 valacu 0.00000000 1 vicame 0.00000000 1 > > > > cleanEx(); ..nameEx <- "metrify" > > ### * metrify > > flush(stderr()); flush(stdout()) > > ### Name: metrify > ### Title: Nearest Metric Space Representation of a Dissimilarity Object > ### Aliases: metrify > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation data.frame > dis.bc <- dsvdis(bryceveg,'bray/curtis') # calculate a Bray/Curtis > # dissimilarity matrix > dis.met <- metrify(dis.bc) # calculate the nearest euclidean > # representation > > > > cleanEx(); ..nameEx <- "nmds" > > ### * nmds > > flush(stderr()); flush(stdout()) > > ### Name: nmds > ### Title: Nonmetric Multidimensional Scaling > ### Aliases: nmds bestnmds > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) > data(brycesite) > dis.man <- dist(bryceveg,method="manhattan") > demo.nmds <- nmds(dis.man,k=4) initial value 16.413924 iter 5 value 11.979735 iter 10 value 10.865550 iter 15 value 10.472783 iter 15 value 10.465003 iter 15 value 10.460451 final value 10.460451 converged > plot(demo.nmds) > data(brycesit) Warning in data(brycesit) : data set 'brycesit' not found > points(demo.nmds,brycesite$elev>8000) > plotid(demo.nmds) numeric(0) > > > > cleanEx(); ..nameEx <- "ordcomp" > > ### * ordcomp > > flush(stderr()); flush(stdout()) > > ### Name: ordcomp > ### Title: Ordination to Dissimilarity Comparison > ### Aliases: ordcomp > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # produces a vegetation dataframe > dis.bc <- dsvdis(bryceveg,'bray/curtis') # creates a Bray/Curtis dissimilarity matrix > pco.bc <- pco(dis.bc,2) # produces a two-dimensional Principal Coordinates Ordination object > ordcomp(pco.bc,dis.bc) > > > > cleanEx(); ..nameEx <- "ordtest" > > ### * ordtest > > flush(stderr()); flush(stdout()) > > ### Name: ordtest > ### Title: Ordination Distribution Test > ### Aliases: ordtest > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) > data(brycesite) > dis.bc <- dsvdis(bryceveg,'bray/curtis') > pco.bc <- pco(dis.bc) > plot(pco.bc) > ordtest(pco.bc,brycesite$quad) $obs [1] 1837.552 $p [1] 0.037 $reps [1] 1872.688 1837.792 1908.975 1917.519 1897.904 1910.737 1890.830 1933.664 [9] 1861.920 1903.326 1847.290 1784.781 1880.445 1918.532 1905.051 1889.259 [17] 1924.940 1900.112 1897.549 1827.286 1906.909 1905.825 1896.729 1877.528 [25] 1928.336 1889.469 1914.552 1874.886 1888.730 1896.757 1843.188 1898.285 [33] 1914.972 1927.041 1858.454 1896.240 1960.016 1857.471 1881.505 1882.328 [41] 1859.192 1904.175 1868.928 1930.661 1893.741 1919.030 1861.245 1907.420 [49] 1865.179 1843.060 1937.556 1914.693 1882.831 1928.474 1877.025 1877.757 [57] 1919.638 1938.306 1921.023 1884.895 1906.661 1881.939 1935.630 1877.556 [65] 1884.522 1887.224 1886.279 1922.278 1904.232 1937.739 1875.396 1875.687 [73] 1819.875 1876.445 1903.532 1942.108 1929.208 1899.368 1913.442 1940.667 [81] 1927.624 1901.890 1827.492 1900.078 1941.220 1948.401 1873.596 1947.415 [89] 1927.855 1886.313 1905.254 1896.139 1950.207 1920.154 1863.392 1893.242 [97] 1921.928 1943.741 1911.833 1907.581 1907.274 1871.623 1881.998 1876.223 [105] 1892.263 1935.451 1904.458 1884.861 1910.289 1935.451 1913.336 1884.198 [113] 1845.584 1924.644 1916.178 1898.535 1885.957 1912.711 1896.473 1856.595 [121] 1904.976 1959.322 1901.891 1942.242 1883.431 1921.462 1930.666 1890.358 [129] 1938.615 1872.054 1877.870 1905.119 1920.162 1924.468 1874.644 1949.329 [137] 1899.973 1851.488 1919.092 1918.845 1909.918 1866.167 1868.347 1840.790 [145] 1926.597 1907.381 1791.556 1855.279 1903.354 1944.010 1849.266 1907.265 [153] 1858.763 1890.349 1830.047 1916.053 1883.758 1854.932 1860.852 1899.968 [161] 1864.015 1894.413 1927.006 1883.724 1865.548 1909.947 1880.955 1901.105 [169] 1877.627 1883.958 1905.049 1916.035 1872.618 1885.445 1881.613 1875.371 [177] 1891.148 1919.816 1849.141 1918.030 1915.218 1913.138 1930.863 1880.306 [185] 1951.577 1902.940 1914.365 1928.169 1835.716 1907.479 1884.575 1908.209 [193] 1944.122 1855.154 1895.674 1931.101 1858.180 1891.199 1898.934 1875.966 [201] 1865.872 1920.424 1857.890 1876.106 1884.231 1839.157 1877.630 1925.547 [209] 1930.302 1917.928 1884.027 1864.118 1899.990 1909.370 1874.935 1943.943 [217] 1859.636 1876.215 1914.257 1909.358 1894.729 1911.306 1861.111 1875.525 [225] 1928.673 1887.547 1960.762 1953.922 1831.365 1851.867 1851.212 1936.716 [233] 1852.607 1855.513 1925.084 1863.929 1839.986 1920.571 1911.908 1918.121 [241] 1906.531 1916.392 1914.432 1825.754 1896.402 1897.864 1903.618 1919.466 [249] 1882.473 1893.762 1888.317 1916.835 1847.405 1872.154 1813.792 1820.892 [257] 1927.400 1915.246 1861.099 1845.547 1910.705 1876.426 1905.245 1925.922 [265] 1904.531 1950.923 1899.166 1891.693 1895.928 1908.412 1863.837 1898.612 [273] 1882.844 1885.727 1854.229 1891.982 1916.972 1898.351 1922.535 1830.879 [281] 1817.834 1950.361 1918.672 1928.902 1942.605 1898.668 1875.156 1864.532 [289] 1914.885 1921.367 1910.454 1902.119 1896.650 1955.894 1858.516 1858.677 [297] 1924.850 1960.942 1855.307 1893.738 1914.087 1914.090 1920.037 1931.590 [305] 1903.939 1891.521 1902.795 1923.350 1922.251 1922.948 1918.085 1866.343 [313] 1854.435 1912.231 1868.795 1953.098 1899.325 1940.122 1855.402 1849.075 [321] 1934.148 1900.149 1842.788 1877.148 1864.799 1842.211 1905.296 1915.870 [329] 1906.519 1933.358 1897.603 1936.656 1901.297 1961.766 1940.402 1913.521 [337] 1833.312 1889.556 1841.362 1884.204 1909.004 1918.980 1897.839 1873.892 [345] 1830.681 1951.992 1852.246 1888.631 1905.402 1875.992 1833.799 1847.629 [353] 1958.618 1918.918 1892.998 1917.286 1907.892 1836.105 1865.388 1889.856 [361] 1890.283 1926.490 1925.339 1878.196 1880.003 1922.871 1874.370 1914.443 [369] 1890.076 1935.975 1942.752 1913.336 1910.091 1849.994 1902.013 1844.417 [377] 1922.689 1842.534 1907.026 1859.642 1889.422 1901.977 1853.049 1920.161 [385] 1951.587 1882.166 1894.482 1882.939 1774.176 1893.375 1915.528 1884.493 [393] 1919.631 1896.823 1933.464 1923.743 1849.555 1917.328 1888.499 1840.143 [401] 1891.771 1904.453 1860.042 1892.077 1925.750 1827.696 1866.776 1874.907 [409] 1855.880 1882.605 1958.758 1874.169 1874.301 1883.768 1858.285 1904.876 [417] 1920.506 1917.975 1882.684 1877.086 1928.302 1851.978 1895.430 1912.481 [425] 1915.957 1936.329 1903.478 1853.370 1926.064 1889.322 1895.518 1913.652 [433] 1892.036 1904.743 1866.999 1879.766 1944.735 1908.147 1940.654 1912.999 [441] 1913.761 1900.094 1886.759 1920.507 1930.170 1931.708 1878.923 1874.267 [449] 1909.289 1798.584 1912.873 1898.817 1913.902 1868.054 1905.277 1831.493 [457] 1890.766 1938.732 1875.547 1867.538 1859.738 1896.456 1894.290 1936.642 [465] 1894.646 1925.142 1889.088 1905.655 1914.305 1881.270 1921.643 1929.731 [473] 1911.403 1916.520 1842.108 1888.568 1881.256 1892.486 1894.338 1865.681 [481] 1845.667 1910.079 1916.335 1903.986 1919.096 1933.498 1880.832 1933.556 [489] 1900.241 1840.724 1883.104 1875.891 1934.059 1920.164 1848.958 1947.238 [497] 1939.901 1892.856 1927.758 1925.720 1894.484 1958.568 1913.482 1872.223 [505] 1863.171 1913.973 1873.109 1921.147 1881.167 1856.677 1946.909 1932.243 [513] 1908.222 1923.254 1928.497 1835.870 1917.943 1875.547 1916.627 1825.458 [521] 1901.849 1902.690 1883.504 1831.384 1915.603 1911.030 1910.554 1875.296 [529] 1943.636 1926.879 1913.071 1904.417 1901.256 1900.791 1937.535 1915.473 [537] 1954.257 1906.205 1880.672 1936.753 1935.557 1919.556 1918.317 1866.445 [545] 1903.806 1910.344 1915.744 1928.133 1876.166 1885.798 1891.896 1890.792 [553] 1879.359 1891.197 1870.260 1855.115 1911.959 1954.195 1942.389 1932.927 [561] 1922.662 1845.951 1941.620 1900.250 1900.920 1893.968 1887.354 1926.376 [569] 1888.662 1940.286 1916.476 1874.589 1850.712 1872.872 1938.795 1917.112 [577] 1956.642 1909.622 1923.728 1888.539 1882.779 1848.650 1894.399 1882.639 [585] 1904.636 1924.173 1903.538 1956.402 1900.337 1896.333 1840.393 1918.011 [593] 1884.237 1921.641 1903.038 1910.765 1927.779 1875.358 1899.686 1905.066 [601] 1917.030 1879.659 1840.095 1882.988 1882.083 1884.737 1862.774 1880.991 [609] 1820.626 1906.912 1910.193 1874.820 1955.292 1929.200 1866.467 1916.906 [617] 1909.999 1968.377 1915.229 1921.194 1909.666 1860.257 1952.641 1938.450 [625] 1928.454 1844.592 1912.525 1954.835 1842.349 1919.899 1934.983 1889.797 [633] 1939.427 1942.381 1941.850 1900.288 1881.103 1917.871 1883.613 1939.324 [641] 1924.462 1951.711 1915.526 1867.926 1881.083 1898.711 1916.299 1930.707 [649] 1916.667 1904.306 1903.624 1890.039 1910.871 1906.364 1852.349 1945.117 [657] 1898.089 1893.221 1903.286 1853.063 1912.216 1874.003 1855.778 1870.209 [665] 1893.921 1898.294 1910.212 1908.900 1914.382 1903.312 1888.876 1919.288 [673] 1869.980 1904.302 1906.016 1781.309 1888.970 1909.190 1886.133 1932.092 [681] 1847.872 1915.343 1874.577 1951.441 1808.809 1932.151 1807.930 1881.886 [689] 1795.570 1920.266 1880.754 1900.947 1859.104 1924.543 1917.256 1943.956 [697] 1908.641 1943.994 1832.485 1814.728 1866.784 1897.484 1925.350 1930.187 [705] 1944.730 1828.940 1914.787 1897.827 1924.437 1872.021 1926.033 1929.760 [713] 1821.915 1855.355 1936.078 1890.476 1864.252 1939.520 1903.624 1884.759 [721] 1858.303 1850.733 1887.328 1943.406 1901.113 1881.104 1869.277 1892.961 [729] 1891.557 1845.238 1875.307 1903.551 1944.144 1905.887 1914.160 1899.049 [737] 1870.655 1914.434 1936.566 1896.158 1918.457 1929.297 1908.238 1919.018 [745] 1937.850 1918.725 1880.167 1832.873 1936.595 1915.495 1920.140 1938.648 [753] 1939.568 1911.603 1906.372 1853.205 1887.567 1901.368 1881.946 1872.560 [761] 1936.095 1860.676 1953.508 1923.726 1845.787 1918.535 1916.489 1930.645 [769] 1890.031 1906.273 1917.507 1879.574 1904.643 1887.853 1941.954 1915.804 [777] 1884.071 1868.838 1918.655 1878.575 1875.861 1876.941 1934.797 1910.272 [785] 1900.617 1897.915 1908.937 1923.254 1876.473 1892.972 1941.382 1901.966 [793] 1893.255 1909.907 1937.457 1878.766 1919.733 1943.789 1930.798 1928.212 [801] 1924.194 1926.505 1924.598 1854.720 1904.162 1925.706 1955.695 1895.924 [809] 1862.324 1920.373 1890.527 1902.964 1915.447 1855.639 1918.649 1873.192 [817] 1889.658 1909.983 1915.352 1884.142 1956.595 1908.951 1923.192 1931.733 [825] 1881.672 1865.092 1867.110 1888.566 1872.937 1922.193 1901.144 1931.089 [833] 1883.191 1941.715 1855.165 1929.176 1879.223 1833.628 1832.212 1875.255 [841] 1931.641 1940.142 1923.258 1918.188 1883.832 1867.103 1924.218 1865.748 [849] 1901.327 1883.623 1905.672 1937.327 1865.014 1896.500 1905.384 1868.946 [857] 1903.510 1917.301 1877.271 1903.351 1915.704 1925.213 1892.789 1929.500 [865] 1866.220 1910.380 1916.595 1926.235 1928.507 1872.395 1895.976 1948.080 [873] 1905.086 1901.848 1915.226 1919.326 1855.696 1907.597 1904.982 1879.179 [881] 1905.488 1879.452 1849.808 1922.420 1943.438 1904.017 1842.253 1853.597 [889] 1887.565 1877.327 1907.572 1886.253 1898.562 1866.154 1907.914 1911.801 [897] 1871.722 1938.374 1937.559 1926.016 1886.810 1892.923 1883.209 1900.808 [905] 1893.664 1913.952 1859.481 1883.816 1887.382 1911.310 1863.520 1947.350 [913] 1896.866 1918.967 1924.169 1961.743 1889.544 1922.027 1858.191 1888.563 [921] 1887.419 1908.717 1978.492 1922.465 1937.757 1894.878 1950.240 1913.150 [929] 1929.161 1857.118 1910.089 1919.290 1918.791 1887.536 1873.764 1937.030 [937] 1838.362 1910.693 1880.827 1952.102 1919.974 1879.645 1918.118 1937.708 [945] 1867.649 1881.219 1896.237 1885.093 1928.317 1957.481 1901.173 1894.743 [953] 1969.180 1876.178 1929.372 1947.761 1916.400 1885.342 1905.472 1883.984 [961] 1919.812 1884.326 1915.562 1890.284 1871.414 1907.112 1951.226 1912.111 [969] 1892.211 1898.104 1962.327 1916.767 1924.015 1884.018 1955.754 1895.491 [977] 1909.457 1855.640 1842.427 1897.901 1860.566 1884.531 1908.553 1880.095 [985] 1848.404 1906.113 1904.516 1907.839 1904.189 1875.118 1871.371 1942.991 [993] 1866.970 1948.876 1906.584 1922.622 1866.861 1898.491 1840.606 > > > > cleanEx(); ..nameEx <- "pca" > > ### * pca > > flush(stderr()); flush(stdout()) > > ### Name: pca > ### Title: Principal Components Analysis > ### Aliases: pca loadings.pca summary.pca scores.pca > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation dataframe > data(brycesite) > x <- pca(bryceveg,dim=10) # returns the first 10 eigenvectors and loadings > plot(x) > surf(x,brycesite$elev) Family: gaussian Link function: identity Formula: var ~ s(x) + s(y) Estimated degrees of freedom: 7.045234 1 total = 9.045234 GCV score: 249131.4 D^2 = 0.4123 > points(x,brycesite$depth=='deep') > > > > cleanEx(); ..nameEx <- "pco" > > ### * pco > > flush(stderr()); flush(stdout()) > > ### Name: pco > ### Title: Principal Coordinates Analysis > ### Aliases: pco > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation dataframe > dis.bc <- dsvdis(bryceveg,'bray/curtis') > # returns an object of class sQuote{dist} > veg.pco <- pco(dis.bc,k=4) # returns first 4 dimensions > > > > cleanEx(); ..nameEx <- "plot.nmds" > > ### * plot.nmds > > flush(stderr()); flush(stdout()) > > ### Name: plot.nmds > ### Title: Plotting Routines For Nonmetric Multi-dimensional Scaling > ### Ordinations > ### Aliases: plot.nmds points.nmds plotid.nmds hilight.nmds surf.nmds > ### jsurf.nmds > ### Keywords: hplot aplot iplot > > ### ** Examples > > data(bryceveg) > data(brycesite) > dis.bc <- dsvdis(bryceveg,'bray/curtis') > nmds.1 <- nmds(dis.bc,5) initial value 15.288951 iter 5 value 9.001549 iter 10 value 8.606669 final value 8.573107 converged > plot(nmds.1) > points(nmds.1,brycesite$elev>8000) > surf(nmds.1,brycesite$elev) Family: gaussian Link function: identity Formula: var ~ s(x) + s(y) Estimated degrees of freedom: 1 5.867502 total = 7.867502 GCV score: 82316.93 D^2 = 0.8028 > ## Not run: plotid(nmds.1,ids=row.names(bryceveg)) > > > > cleanEx(); ..nameEx <- "plot.pca" > > ### * plot.pca > > flush(stderr()); flush(stdout()) > > ### Name: plot.pca > ### Title: Plotting Routines For Principal Components Ordinations > ### Aliases: plot.pca points.pca plotid.pca hilight.pca surf.pca jsurf.pca > ### varplot.pca > ### Keywords: hplot aplot iplot > > ### ** Examples > > data(bryceveg) > data(brycesite) > pca.1 <- pca(bryceveg) > plot(pca.1) > points(pca.1,brycesite$elev>8000) > surf(pca.1,brycesite$elev) Family: gaussian Link function: identity Formula: var ~ s(x) + s(y) Estimated degrees of freedom: 7.045234 1 total = 9.045234 GCV score: 249131.4 D^2 = 0.4123 > ## Not run: plotid(pca.1,ids=row.names(bryceveg)) > > > > cleanEx(); ..nameEx <- "plot.pco" > > ### * plot.pco > > flush(stderr()); flush(stdout()) > > ### Name: plot.pco > ### Title: Plotting Routines For Principal Coordinates Ordinations > ### Aliases: plot.pco points.pco plotid.pco hilight.pco surf.pco jsurf.pco > ### Keywords: hplot aplot iplot > > ### ** Examples > > data(bryceveg) > data(brycesite) > dis.bc <- dsvdis(bryceveg,'bray/curtis') > pco.1 <- pco(dis.bc,5) > plot(pco.1) > points(pco.1,brycesite$elev>8000) > surf(pco.1,brycesite$elev) Family: gaussian Link function: identity Formula: var ~ s(x) + s(y) Estimated degrees of freedom: 1.564629 4.811247 total = 7.375876 GCV score: 71280.82 D^2 = 0.8281 > ## Not run: plotid(pco.1,ids=row.names(bryceveg)) > > > > cleanEx(); ..nameEx <- "rndveg" > > ### * rndveg > > flush(stderr()); flush(stdout()) > > ### Name: rndveg > ### Title: Randomize a Vegetation Data Frame > ### Aliases: rndveg > ### Keywords: datagen > > ### ** Examples > > data(bryceveg) # returns a vegetation data.frame called bryceveg > test <- rndveg(bryceveg,species=TRUE) # preserves species abundance > # distibution > test2 <- rndveg(bryceveg,plots=TRUE) # preserves plot-level species richness > > > cleanEx(); ..nameEx <- "spcdisc" > > ### * spcdisc > > flush(stderr()); flush(stdout()) > > ### Name: spcdisc > ### Title: Species Discrimination Analysis > ### Aliases: spcdisc > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) > data(brycesite) > test <- const(bryceveg,brycesite$quad) > spcdisc(test) junost ameuta arcpat arttri atrcan berfre 1.000000000 0.138643827 0.065019207 0.764081566 1.000000000 0.624385037 ceamar cerled cermon chrdep chrnau chrpar 0.081145322 0.404446000 0.350270265 1.000000000 0.771109725 0.411237844 chrvis eurlan juncom pacmyr pruvir purtri 0.407103710 1.000000000 0.205676672 0.175615528 0.615456622 0.006843068 quegam rhutri ribcer roswoo samcoe shearg 0.306244033 1.000000000 0.235079180 0.710016970 0.507432046 1.000000000 sherot symore arcuva artarb artfri artpyg 1.000000000 0.099889110 1.000000000 0.429494881 0.614800040 1.000000000 atrcon berrep ericor gutsar tetcan agrcri 1.000000000 0.075280936 0.624385037 0.325205885 0.272257093 1.000000000 agrdas agrscr agrsmi bougra broano brocil 0.514487074 1.000000000 0.419720789 0.454630747 0.644754679 0.672973617 broine carrss elysal fesovi hiljam junbal 1.000000000 0.036781072 0.416228471 0.666099385 1.000000000 0.411237844 koenit muhmon muhric oryhym orymic phlpra 0.406900192 1.000000000 1.000000000 0.186613093 0.624385037 1.000000000 poacom poafen poanev poapra sithys sticom 0.686154780 0.195202698 1.000000000 0.771109725 0.138963100 0.422852495 stilet stipin achmil agogla anemul antros 1.000000000 0.394443743 0.218890352 0.621484130 1.000000000 0.771109725 antros.1 apoand arahol arapen arefen artcar 0.558943049 0.676343180 1.000000000 0.630774527 1.000000000 1.000000000 artlud astagr astchi astcon asthum astken 0.404446000 0.491551430 1.000000000 1.000000000 0.457270952 0.720720090 astmeg astmis astten balsag calnut caschr 0.488367249 0.337807108 1.000000000 0.748537001 0.419370546 0.572329020 caslin chadou cirneo compal corkin creint 0.090605110 0.436523833 1.000000000 1.000000000 0.407750165 0.686154780 crycon cympur dessop drasub echtri eriala 0.644754679 1.000000000 1.000000000 0.319039686 1.000000000 0.349137725 erican erieat erifla eripan eripum erirac 0.686154780 1.000000000 0.655510809 0.686154780 0.530246469 0.234846129 erisub eriumb eupfen euplur euprob fraves 1.000000000 0.616529028 0.515311818 0.207762357 0.487116436 0.686154780 genaff gerfre gerric gilcon haparm heddru 1.000000000 0.730954790 1.000000000 0.301958718 0.618861730 1.000000000 hymaca hymfil hymric ipoagg irimis ivesab 0.229874371 0.284116263 0.274518916 0.848646329 0.771109725 1.000000000 leppun lesint leueri ligpor linkin linlew 0.457837654 0.424220808 1.000000000 1.000000000 0.298295368 0.374593819 litinc litmul lotuta lupkin lupser lyggra 1.000000000 0.450770865 0.326756037 0.818567738 0.725784930 0.439521604 lygspi macgri molpar oenbra oencae oencor 1.000000000 0.282419440 1.000000000 0.712766599 0.487116436 0.686154780 oenfla oenlav opueri orofas pedcan pedsim 1.000000000 0.387052779 0.530246469 0.771109725 0.109225178 1.000000000 pencae pencom penlei penuta phllon phycha 0.300469797 0.572329020 1.000000000 1.000000000 0.644754679 0.848646329 potcon potcri potgra pteand pyrvir salibe 0.748537001 1.000000000 0.444722548 1.000000000 1.000000000 1.000000000 sclwhi senmul sphcoc stapin steten strcor 0.624385037 0.009956487 0.403077416 1.000000000 0.633892973 1.000000000 swerad taroff thafen towmin tradub valacu 0.311111780 1.000000000 1.000000000 1.000000000 0.514487074 1.000000000 vicame 1.000000000 > > > > cleanEx(); ..nameEx <- "tabdev" > > ### * tabdev > > flush(stderr()); flush(stdout()) > > ### Name: tabdev > ### Title: Table Deviance > ### Aliases: tabdev > ### Keywords: cluster > > ### ** Examples > > data(bryceveg) # retrieves a vegetation data frame > clust <- sample(1:5,nrow(bryceveg),replace=TRUE) > tabdev(bryceveg,clust) $spcdev species deviance p-val 1 junost 5.545177 0.999 2 ameuta 36.240079 0.130 3 arcpat 566.640756 0.619 4 arttri 76.476403 0.926 5 atrcan 49.016449 0.843 6 berfre 7.249199 0.898 7 ceamar 130.114926 0.808 8 cerled 7.977968 0.968 9 cermon 82.686475 0.456 10 chrdep 0.000000 0.999 11 chrnau 1.386294 0.999 12 chrpar 20.311270 0.931 13 chrvis 94.087892 0.728 14 eurlan 15.662313 0.664 15 juncom 93.281837 0.111 16 pacmyr 73.055277 0.119 17 pruvir 1.386294 0.999 18 purtri 154.489010 0.319 19 quegam 75.096219 0.904 20 rhutri 1.386294 0.999 21 ribcer 40.305169 0.013 22 roswoo 3.295837 0.999 23 samcoe 15.047883 0.873 24 shearg 0.000000 0.999 25 sherot 11.797053 0.705 26 symore 143.675378 0.083 27 arcuva 0.000000 0.999 28 artarb 228.482918 0.564 29 artfri 27.410303 0.432 30 artpyg 1.909543 0.999 31 atrcon 0.000000 0.999 32 berrep 143.812592 0.233 33 ericor 12.534657 0.174 34 gutsar 16.950382 0.154 35 tetcan 63.978445 0.661 36 agrcri 1.909543 0.508 37 agrdas 14.299065 0.031 38 agrscr 0.000000 0.999 39 agrsmi 35.857805 0.753 40 bougra 36.061615 0.951 41 broano 22.069369 0.280 42 brocil 4.158883 0.794 43 broine 1.909543 0.531 44 carrss 169.026891 0.058 45 elysal 21.134213 0.665 46 fesovi 1.909543 0.532 47 hiljam 0.000000 0.203 48 junbal 17.355231 0.549 49 koenit 49.265773 0.552 50 muhmon 19.015190 0.273 51 muhric 0.000000 0.177 52 oryhym 69.929490 0.458 53 orymic 4.158883 0.806 54 phlpra 0.000000 0.999 55 poacom 1.909543 0.999 56 poafen 75.761991 0.868 57 poanev 22.914510 0.728 58 poapra 17.654927 0.534 59 sithys 107.203427 0.745 60 sticom 148.322812 0.721 61 stilet 1.386294 0.999 62 stipin 16.295734 0.472 63 achmil 42.522084 0.837 64 agogla 23.285329 0.324 65 anemul 0.000000 0.999 66 antros 1.386294 0.999 67 antros.1 8.939240 0.642 68 apoand 3.819085 0.037 69 arahol 3.295837 0.999 70 arapen 1.386294 0.999 71 arefen 1.386294 0.999 72 artcar 0.000000 0.999 73 artlud 6.660895 0.959 74 astagr 4.158883 0.818 75 astchi 0.000000 0.999 76 astcon 22.346255 0.617 77 asthum 12.798542 0.285 78 astken 6.660895 0.968 79 astmeg 13.592367 0.484 80 astmis 44.932290 0.571 81 astten 0.000000 0.999 82 balsag 1.909543 0.999 83 calnut 38.699615 0.612 84 caschr 23.209301 0.840 85 caslin 32.442426 0.268 86 chadou 17.012586 0.957 87 cirneo 6.660895 0.974 88 compal 6.660895 0.966 89 corkin 21.431892 0.019 90 creint 0.000000 0.184 91 crycon 13.183347 0.751 92 cympur 1.386294 0.999 93 dessop 0.000000 0.999 94 drasub 33.403697 0.506 95 echtri 0.000000 0.999 96 eriala 44.276081 0.898 97 erican 4.158883 0.806 98 erieat 0.000000 0.999 99 erifla 14.708085 0.694 100 eripan 5.545177 0.999 101 eripum 10.567107 0.640 102 erirac 57.162850 0.879 103 erisub 0.000000 0.999 104 eriumb 13.661588 0.533 105 eupfen 18.205277 0.834 106 euplur 37.134774 0.232 107 euprob 7.552945 0.299 108 fraves 1.386294 0.999 109 genaff 0.000000 0.999 110 gerfre 8.939240 0.664 111 gerric 0.000000 0.999 112 gilcon 18.365680 0.388 113 haparm 14.229844 0.999 114 heddru 0.000000 0.999 115 hymaca 24.700627 0.829 116 hymfil 25.928671 0.276 117 hymric 51.691236 0.715 118 ipoagg 1.909543 0.544 119 irimis 1.386294 0.999 120 ivesab 0.000000 0.999 121 leppun 33.857724 0.652 122 lesint 29.168626 0.653 123 leueri 0.000000 0.999 124 ligpor 0.000000 0.999 125 linkin 18.205277 0.862 126 linlew 37.671023 0.369 127 litinc 0.000000 0.999 128 litmul 20.096914 0.200 129 lotuta 44.276081 0.887 130 lupkin 4.158883 0.812 131 lupser 7.977968 0.909 132 lyggra 4.751353 0.281 133 lygspi 0.000000 0.999 134 macgri 31.274281 0.397 135 molpar 4.158883 0.821 136 oenbra 11.797053 0.462 137 oencae 7.552945 0.294 138 oencor 4.751353 0.284 139 oenfla 0.000000 0.999 140 oenlav 36.566902 0.537 141 opueri 22.267836 0.238 142 orofas 1.909543 0.503 143 pedcan 53.769954 0.835 144 pedsim 3.295837 0.999 145 pencae 31.142262 0.802 146 pencom 23.801771 0.961 147 penlei 0.000000 0.999 148 penuta 0.000000 0.999 149 phllon 6.660895 0.964 150 phycha 5.274601 0.566 151 potcon 1.386294 0.999 152 potcri 4.158883 0.829 153 potgra 5.545177 0.999 154 pteand 6.689899 0.119 155 pyrvir 0.000000 0.999 156 salibe 0.000000 0.999 157 sclwhi 3.295837 0.999 158 senmul 119.492236 0.865 159 sphcoc 19.821196 0.776 160 stapin 0.000000 0.999 161 steten 5.274601 0.599 162 strcor 0.000000 0.999 163 swerad 38.446943 0.574 164 taroff 5.274601 0.596 165 thafen 1.386294 0.999 166 towmin 1.386294 0.999 167 tradub 17.048607 0.532 168 valacu 0.000000 0.999 169 vicame 0.000000 0.999 $totdev [1] 4489.077 > > > > cleanEx(); ..nameEx <- "vardist" > > ### * vardist > > flush(stderr()); flush(stdout()) > > ### Name: vardist > ### Title: Variable Pairwise Difference > ### Aliases: vardist > ### Keywords: manip > > ### ** Examples > > data(bryceveg) # returns a vegetation data.frame called bryceveg > data(brycesite) # returns an environmental data.frame called brycesite > dis.bc <- dsvdis(bryceveg,'bray/curtis') # returns a Bray/Curtis dissimilarity matrix > dis.elev <- vardist(brycesite$elev) # matrix of pair-wide differences in elevation > cor(as.vector(dis.bc),as.vector(dis.elev)) [1] NaN > > > > cleanEx(); ..nameEx <- "vegtab" > > ### * vegtab > > flush(stderr()); flush(stdout()) > > ### Name: vegtab > ### Title: Vegetation Table > ### Aliases: vegtab > ### Keywords: multivariate > > ### ** Examples > > data(bryceveg) # returns a vegetation data frame called bryceveg > data(brycesite) # returns an envrironmental data frame called brycesite > vegtab(bryceveg,minval=10,pltord=brycesite$elev) carrss symore senmul arcpat berrep purtri ceamar pacmyr sithys oryhym 50101 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 0.5 50102 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 5.0 0.5 50111 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50112 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 50113 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 50100 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50103 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 0.5 50109 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50110 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50163 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 50104 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50108 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.5 50171 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.5 50105 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 50106 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50107 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5 0.5 50169 0.0 0.5 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 50170 0.0 0.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 50076 1.0 0.0 0.0 3.0 0.5 0.0 0.0 0.0 0.0 0.0 50154 0.0 0.5 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 50084 1.0 0.5 0.0 0.5 0.5 0.5 0.0 0.0 0.0 1.0 50159 0.0 0.0 0.0 0.0 0.0 2.0 0.0 0.0 0.0 0.5 50172 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 50077 1.0 0.0 0.0 4.0 0.5 0.0 1.0 0.0 0.0 0.0 50073 1.0 0.0 0.0 3.0 0.0 0.0 0.0 0.0 0.0 0.0 50075 0.5 0.0 0.0 3.0 0.0 0.0 1.0 0.0 0.0 0.0 50160 0.0 0.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 50162 0.0 0.5 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.5 50165 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.5 50071 0.5 0.0 0.0 0.5 0.0 0.5 0.0 0.0 0.0 0.0 50074 0.5 0.0 0.5 0.0 0.0 2.0 0.0 0.0 0.0 0.0 50164 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50053 0.5 0.5 0.0 3.0 0.5 0.0 0.5 0.0 0.0 0.0 50070 1.0 0.0 0.0 2.0 0.5 0.0 0.0 0.0 0.0 0.5 50168 0.0 0.5 0.5 0.5 0.0 0.5 0.0 0.0 0.0 0.0 50166 0.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.0 50072 0.5 0.0 0.5 2.0 0.5 0.5 1.0 0.0 0.0 0.0 50158 0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0 50161 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50037 0.5 0.5 0.0 3.0 0.5 0.5 0.5 0.0 0.0 0.0 50156 0.5 0.5 0.0 0.0 0.0 0.5 0.0 0.0 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50078 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50026 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50043 0.0 0.0 0.0 0.5 0.0 0.0 0.0 50069 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50027 0.0 0.0 0.0 0.5 0.0 0.0 0.0 50024 0.5 0.0 0.0 0.0 0.0 0.0 0.0 50003 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50006 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50007 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50031 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50035 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50036 0.5 0.0 0.0 0.0 0.0 0.0 0.0 50068 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50030 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50047 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50064 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50049 0.0 0.0 0.0 0.5 0.0 0.0 0.0 50004 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50048 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50065 0.5 0.0 0.0 0.0 0.0 0.0 0.0 50086 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50008 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50066 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50067 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50001 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50059 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50062 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50063 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50085 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50046 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50058 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50061 0.0 0.0 0.0 0.0 0.0 0.0 0.0 50087 0.0 0.0 0.0 0.5 0.0 0.0 0.0 50060 0.0 0.0 0.0 0.0 0.0 0.0 0.0 > # produces a sorted table for species whose abundance sums > # to 10, with rows in order of elevation. > > > > cleanEx(); ..nameEx <- "vegtrans" > > ### * vegtrans > > flush(stderr()); flush(stdout()) > > ### Name: vegtrans > ### Title: Vegetation Transformation and Standardization > ### Aliases: vegtrans stdveg > ### Keywords: arith > > ### ** Examples > > data(bryceveg) > old <- c(0.2,0.5,1.0,2.0,3.0,4.0,5.0,6.0) > new <- c(0.2,0.5,3.0,15.0,37.5,62.5,85.0,97.5) > newveg <- vegtrans(bryceveg,old,new) > > > > ### *