The ade4 Package - NexTag Supports Open Source Initiatives

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42 cailliez cailliez Transformation to make Euclidean a distance matrix Description Usage This function computes the smallest positive constant that makes Euclidean a distance matrix and applies it. cailliez(distmat, print = FALSE) Arguments distmat print an object of class dist if TRUE, prints the eigenvalues of the matrix Value an object of class dist containing a Euclidean distance matrix. Author(s) Daniel Chessel Stéphane Dray 〈dray@biomserv.univ-lyon1.fr〉 References Cailliez, F. (1983) <strong>The</strong> analytical solution of the additive constant problem. Psychometrika, 48, 305–310. Legendre, P. and Anderson, M.J. (1999) Distance-based redundancy analysis: testing multispecies responses in multifactorial ecological experiments. Ecological Monographs, 69, 1–24. Legendre, P., and Legendre, L. (1998) Numerical ecology, 2nd English edition edition. Elsevier Science BV, Amsterdam. From the DistPCoa program of P. Legendre et M.J. Anderson http://www.fas.umontreal.ca/BIOL/Casgrain/en/labo/distpcoa.html Examples data(capitales) d0
capitales 43 is.euclid(d1) # TRUE plot(d0, d1) abline(lm(unclass(d1)~unclass(d0))) print(coefficients(lm(unclass(d1)~unclass(d0))), dig = 8) # d1 = d + Cte is.euclid(d0 + 2428) # FALSE is.euclid(d0 + 2430) # TRUE the smallest constant capitales Road Distances Description Usage Format <strong>Source</strong> This data set gives the road distances between 15 European capitals and their coordinates. data(capitales) This list contains the following objects: df is a data frame containing the road distances between 15 European capitals. xy is a data frame containing the coordinates of capitals. area is a data frame containing three variables, designed to be used in area.plot function. logo is a list of pixmap objects, each one symbolizing a capital http://www.euro.gouv.fr/jeunes/eurocollege/tableaucarte.htm Examples if (require(pixmap, quiet = TRUE)) { data(capitales) names(capitales$df) # [1] "Madrid" "Paris" "Londres" "Dublin" "Rome" # [6] "Bruxelles" "Amsterdam" "Berlin" "Copenhague" "Stokholm" #[11] "Luxembourg" "Helsinki" "Vienne" "Athenes" "Lisbonne" } index
Page 1 and 2: The ade4 Package February 16, 2008
Page 3 and 4: R topics documented: 3 dudi.acm . .
Page 5 and 6: R topics documented: 5 plot.phylog
Page 7 and 8: EH 7 EH Amount of Evolutionary Hist
Page 9 and 10: RV.rtest 9 RV.rtest Monte-Carlo Tes
Page 11 and 12: acacia 11 Format abouheif.eg is a l
Page 13 and 14: add.scatter 13 Usage add.scatter(fu
Page 15 and 16: ade4toR 15 Arguments fictab ficcoln
Page 17 and 18: amova 17 amova Analysis of molecula
Page 19 and 20: ardeche 19 ardeche Fauna Table with
Page 21 and 22: area.plot 21 Value possub cpoint la
Page 23 and 24: arrival 23 # 4 fr.poly
Page 25 and 26: atlas 25 par(mfrow = c(1,1)) all(di
Page 27 and 28: avijons 27 Examples ## Not run: dat
Page 29 and 30: avimedi 29 par(mfcol=c(3,2)) s.valu
Page 31 and 32: acteria 31 Details aviurba$mil cont
Page 33 and 34: aran95 33 eparlog : "Savings and lo
Page 35 and 36: etween 35 par(mfrow = c(1,1)) betwe
Page 37 and 38: icenter.wt 37 Format Source A list
Page 39 and 40: setal97 39 Format bsetal97 is a lis
Page 41: utterfly 41 Examples data(buech) pa
Page 45 and 46: carniherbi49 45 Format Source carni
Page 47 and 48: cca 47 Usage data(casitas) Format T
Page 49 and 50: chatcat 49 s.match(iv1$ls, iv1$li,
Page 51 and 52: chazeb 51 chazeb Charolais-Zebus De
Page 53 and 54: cnc2003 53 Usage data(clementines)
Page 55 and 56: coinertia 55 coinertia Coinertia An
Page 57 and 58: coleo 57 coleo Table of Fuzzy Biolo
Page 59 and 60: corvus 59 Examples data(friday87) f
Page 61 and 62: disc 61 disc Rao’s dissimilarity
Page 63 and 64: discrimin.coa 63 See Also lda in pa
Page 65 and 66: dist.dudi 65 5 = Czekanowski (1913)
Page 67 and 68: dist.genet 67 Let P the table of ge
Page 69 and 70: dist.prop 69 Value returns a distan
Page 71 and 72: dist.quant 71 Arguments df method d
Page 73 and 74: divcmax 73 divcmax Maximal value of
Page 75 and 76: dotchart.phylog 75 Usage dotchart.p
Page 77 and 78: doubs 77 doubs Pair of Ecological T
Page 79 and 80: dpcoa 79 Value option csize the fun
Page 81 and 82: dudi.acm 81 Value as.dudi and all t
Page 83 and 84: dudi.coa 83 Examples data(ours) sum
Page 85 and 86: dudi.fca 85 Arguments df eff scannf
Page 87 and 88: dudi.hillsmith 87 data(bsetal97) w
Page 89 and 90: dudi.mix 89 Details If df contains
Page 91 and 92: dudi.pca 91 dudi.pca Principal Comp
Page 93 and 94:
dudi.pco 93 Usage dudi.pco(d, row.w
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ecg 95 ecg Electrocardiogram data D
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elec88 97 References See a data des
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escopage 99 escopage K-tables of wi
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foucart 101 References Cheverud, J.
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friday87 103 friday87 Faunistic K-t
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fuzzygenet 105 fuzzygenet Reading a
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genet 107 Value Returns an object o
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genet 109 Value char2genet returns
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granulo 111 Examples if(require(pix
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hdpg 113 Examples w
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humDNAm 115 Usage data(housetasks)
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inertia.dudi 117 inertia.dudi Stati
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is.euclid 119 contour is a data fra
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julliot 121 Format julliot is a lis
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kcponds 123 Examples data(jv73) s.l
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kdist 125 Details The attributs of
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kdisteuclid 127 Value returns a lis
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kplot 129 kplot Generic Function fo
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kplot.mfa 131 csub possub a charact
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kplot.sepan 133 which.graph an opti
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kplot.statis 135 w
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ktab 137 Value plot.krandtest draws
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ktab.data.frame 139 Examples data(f
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ktab.list.dudi 141 Examples data(jv
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ktab.within 143 Examples data(meau)
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lingoes 145 Examples data(lascaux)
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macaca 147 References Bauwens, D.,
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mantel.randtest 149 Source Belair,
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maples 151 Arguments m1 m2 nrepet a
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mcoa 153 Source Codes for rows and
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meau 155 Examples data(friday87) w1
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mfa 157 mfa Multiple Factorial Anal
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microsatt 159 Format microsatt is a
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mld 161 Examples data(mjrochet) mjr
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monde84 163 Format Source mollusc i
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mstree 165 mstree Minimal Spanning
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multispati 167 Value Returns an obj
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multispati.randtest 169 w1.msm
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neig 171 Author(s) Daniel Chessel S
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neig 173 #hist(dist, nclass = 50) m
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newick2phylog 175 References Bauwen
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niche 177 w[19]
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njplot 179 Author(s) Daniel Chessel
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optimEH 181 Source Example 357 in:
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originality 183 Details Variables o
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orisaved 185 orisaved Maximal or mi
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orthobasis 187 Value All the functi
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orthogram 189 orthogram Orthonormal
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ours 191 Examples # a phylogenetic
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palm 193 palm Phylogenetic and quan
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pcaiv 195 pcaiv Principal component
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pcaivortho 197 Arguments dudi df sc
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perthi02 199 Author(s) Daniel Chess
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phylog 201 paths droot call Wmat Wd
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plot.phylog 203 f.phylog circle cle
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presid2002 205 ## Not run: # plot a
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procuste 207 Format procella is a l
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procuste.randtest 209 References Di
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pta 211 Arguments df1 df2 nrepet a
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quasieuclid 213 Author(s) Pierre Ba
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andtest-internal 215 References Nee
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andtest.amova 217 Examples par(mfro
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andtest.coinertia 219 randtest.coin
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ankrock 221 # Df Pillai approx F nu
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hone 223 rhone Physico-Chemistry Da
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lq 225 nf RV eig lw cw tab li l1 co
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test 227 Examples ## Not run: data(
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test.discrimin 229 References Romes
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s.chull 231 addaxes cgrid sub csub
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s.class 233 Examples xy 0) coul 0
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s.corcircle 235 possub = "bottomrig
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s.distri 237 Value clabel cpoint pc
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s.image 239 Examples data(rpjdl) co
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s.kde2d 241 s.image(t3012$xy, scale
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s.label 243 Arguments Value dfxy xa
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s.logo 245 Value xax yax neig cneig
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s.multinom 247 Value cgrid a charac
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s.traject 249 Value Returns in a hi
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s.value 251 Examples rw
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santacatalina 253 par(mfrow = c(3,4
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scalewt 255 scalewt Centring and Sc
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scatter 257 Author(s) See Also Dani
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scatter.dudi 259 Arguments x xax ya
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scatter.fca 261 scatter.fca Plot of
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sco.distri 263 banque.acm
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score 265 Arguments score df fac cl
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score.coa 267 Arguments x xax which
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score.mix 269 par(mfrow = c(1,1)) s
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seconde 271 seconde Students and Su
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skulls 273 skulls Morphometric Evol
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steppe 275 C.T4 TL TC T4 a data fra
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suprow 277 Details If supcol.defaul
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symbols.phylog 279 symbols.phylog R
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table.cont 281 Format Source t3012
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table.paint 283 Usage table.dist(d,
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table.value 285 labels.col clabel.c
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tarentaise 287 Format tarentaise is
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testdim 289 testdim Function to per
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tithonia 291 s.label(tintoodiel$xy,
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toxicity 293 points(ref,xyz[,2], pc
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triangle.plot 295 show.position a l
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trichometeo 297 Examples data (euro
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uniquewt.df 299 Source Data were ob
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vegtf 301 Value Returns a list cont
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westafrica 303 Details The columns
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within 305 afri.ms
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withinpca 307 withinpca Normed with
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worksurv 309 References Cazes, P.,
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zealand 311 Examples data(yanomama)
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Index ∗Topic array cailliez, 36 d
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INDEX 315 krandtest, 130 randtest,
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INDEX 317 bf88, 30 bicenter.wt, 31
Page 319 and 320:
INDEX 319 plot.procuste (procuste),
Page 321:
INDEX 321 wavelet.filter, 181 westa
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