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70 dist.quant 4 = Nei 1972 (one locus) d 4 = ln ∑ K √ i=1 piqi ∑K √ ∑K i=1 p2 i i=1 q2 i 5 = Edwards 1971 (one locus) d 5 = √ 1 − ∑ K i=1 √ p1 q i Value returns a distance matrix, object of class dist Author(s) Daniel Chessel Stéphane Dray 〈dray@biomserv.univ-lyon1.fr〉 References Edwards, A. W. F. (1971) Distance between populations on the basis of gene frequencies. Biometrics, 27, 873–881. Manly, B. F. (1994) Multivariate Statistical Methods. A primer., Second edition. Chapman & Hall, London. Nei, M. (1972) Genetic distances between populations. <strong>The</strong> American Naturalist, 106, 283–292. Examples data(microsatt) w
dist.quant 71 Arguments df method diag upper tol a data frame containing only quantitative variables an integer between 1 and 3. If NULL the choice is made with a console message. See details a logical value indicating whether the diagonal of the distance matrix should be printed by ‘print.dist’ a logical value indicating whether the upper triangle of the distance matrix should be printed by ‘print.dist’ used in case 3 of method as a tolerance threshold for null eigenvalues Details All the distances are of type d = ‖x − y‖ A = √ (x − y) t A(x − y) 1 = Canonical A = Identity 2 = Joreskog A = 1 diag(cov) 3 = Mahalanobis A = inv(cov) Value an object of class dist Author(s) Daniel Chessel Stéphane Dray 〈dray@biomserv.univ-lyon1.fr〉 Examples data(ecomor) par(mfrow = c(2,2)) scatter(dudi.pco(dist.quant(ecomor$morpho,3), scan = FALSE)) scatter(dudi.pco(dist.quant(ecomor$morpho,2), scan = FALSE)) scatter(dudi.pco(dist(scalewt(ecomor$morpho)), scan = FALSE)) scatter(dudi.pco(dist.quant(ecomor$morpho,1), scan = FALSE)) par(mfrow = c(1,1))
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The ade4 Package February 16, 2008
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R topics documented: 3 dudi.acm . .
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R topics documented: 5 plot.phylog
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EH 7 EH Amount of Evolutionary Hist
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RV.rtest 9 RV.rtest Monte-Carlo Tes
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acacia 11 Format abouheif.eg is a l
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add.scatter 13 Usage add.scatter(fu
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ade4toR 15 Arguments fictab ficcoln
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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$mil cont
Page 33 and 34: aran95 33 eparlog : "Savings and lo
Page 35 and 36: etween 35 par(mfrow = c(1,1)) betwe
Page 37 and 38: icenter.wt 37 Format Source A list
Page 39 and 40: setal97 39 Format bsetal97 is a lis
Page 41 and 42: utterfly 41 Examples data(buech) pa
Page 43 and 44: capitales 43 is.euclid(d1) # TRUE p
Page 45 and 46: carniherbi49 45 Format Source carni
Page 47 and 48: cca 47 Usage data(casitas) Format T
Page 49 and 50: chatcat 49 s.match(iv1$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: dist.prop 69 Value returns a distan
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
Page 95 and 96: ecg 95 ecg Electrocardiogram data D
Page 97 and 98: elec88 97 References See a data des
Page 99 and 100: escopage 99 escopage K-tables of wi
Page 101 and 102: foucart 101 References Cheverud, J.
Page 103 and 104: friday87 103 friday87 Faunistic K-t
Page 105 and 106: fuzzygenet 105 fuzzygenet Reading a
Page 107 and 108: genet 107 Value Returns an object o
Page 109 and 110: genet 109 Value char2genet returns
Page 111 and 112: granulo 111 Examples if(require(pix
Page 113 and 114: hdpg 113 Examples w
Page 115 and 116: humDNAm 115 Usage data(housetasks)
Page 117 and 118: inertia.dudi 117 inertia.dudi Stati
Page 119 and 120: 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
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INDEX 319 plot.procuste (procuste),
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INDEX 321 wavelet.filter, 181 westa
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