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128 kdisteuclid Value returns an object of class kdist with all distances Euclidean. Note according to the program DistPCoa of P. Legendre and M.J. Anderson http://www.fas.umontreal.ca/BIOL/Casgrain/en/labo/distpcoa.html Author(s) Daniel Chessel Stéphane Dray 〈dray@biomserv.univ-lyon1.fr〉 References Gower, J.C. and Legendre, P. (1986) Metric and Euclidean properties of dissimilarity coefficients. Journal of Classification, 3, 5–48. Cailliez, F. (1983) <strong>The</strong> analytical solution of the additive constant problem. Psychometrika, 48, 305–310. Lingoes, J.C. (1971) Somme boundary conditions for a monotone analysis of symmetric matrices. Psychometrika, 36, 195–203. 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 L. Legendre. (1998) Numerical ecology, 2nd English edition edition. Elsevier Science BV, Amsterdam. Examples w
kplot 129 kplot Generic Function for Multiple Graphs in a K-tables Analysis Description Usage Methods for foucart, mcoa, mfa, pta, sepan, sepan.coa and statis kplot(object, ...) Arguments object an object used to select a method ... further arguments passed to or from other methods Examples methods(plot) methods(scatter) methods(kplot) kplot.foucart Multiple Graphs for the Foucart’s Correspondence Analysis Description Usage performs high level plots of a Foucart’s Correspondence Analysis, using an object of class foucart. ## S3 method for class 'foucart': kplot(object, xax = 1, yax = 2, mfrow = NULL, which.tab = 1:length(object$blo), clab.r = 1, clab.c = 1.25, csub = 2, possub = "bottomright", ...) Arguments object xax, yax mfrow which.tab clab.r an object of class foucart the numbers of the x-axis and the y-axis a vector of the form ’c(nr,nc)’, otherwise computed by as special own function n2mfrow vector of table numbers for analyzing a character size for the row labels
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The ade4 Package February 16, 2008
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R topics documented: 3 dudi.acm . .
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R topics documented: 5 plot.phylog
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EH 7 EH Amount of Evolutionary Hist
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RV.rtest 9 RV.rtest Monte-Carlo Tes
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acacia 11 Format abouheif.eg is a l
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add.scatter 13 Usage add.scatter(fu
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ade4toR 15 Arguments fictab ficcoln
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amova 17 amova Analysis of molecula
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ardeche 19 ardeche Fauna Table with
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area.plot 21 Value possub cpoint la
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arrival 23 # 4 fr.poly
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atlas 25 par(mfrow = c(1,1)) all(di
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avijons 27 Examples ## Not run: dat
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avimedi 29 par(mfcol=c(3,2)) s.valu
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acteria 31 Details aviurba$mil cont
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aran95 33 eparlog : "Savings and lo
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etween 35 par(mfrow = c(1,1)) betwe
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icenter.wt 37 Format Source A list
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setal97 39 Format bsetal97 is a lis
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utterfly 41 Examples data(buech) pa
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capitales 43 is.euclid(d1) # TRUE p
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carniherbi49 45 Format Source carni
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cca 47 Usage data(casitas) Format T
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chatcat 49 s.match(iv1$ls, iv1$li,
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chazeb 51 chazeb Charolais-Zebus De
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cnc2003 53 Usage data(clementines)
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coinertia 55 coinertia Coinertia An
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coleo 57 coleo Table of Fuzzy Biolo
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corvus 59 Examples data(friday87) f
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disc 61 disc Rao’s dissimilarity
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discrimin.coa 63 See Also lda in pa
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dist.dudi 65 5 = Czekanowski (1913)
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dist.genet 67 Let P the table of ge
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dist.prop 69 Value returns a distan
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dist.quant 71 Arguments df method d
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divcmax 73 divcmax Maximal value of
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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
Page 121 and 122: julliot 121 Format julliot is a lis
Page 123 and 124: kcponds 123 Examples data(jv73) s.l
Page 125 and 126: kdist 125 Details The attributs of
Page 127: kdisteuclid 127 Value returns a lis
Page 131 and 132: kplot.mfa 131 csub possub a charact
Page 133 and 134: kplot.sepan 133 which.graph an opti
Page 135 and 136: kplot.statis 135 w
Page 137 and 138: ktab 137 Value plot.krandtest draws
Page 139 and 140: ktab.data.frame 139 Examples data(f
Page 141 and 142: ktab.list.dudi 141 Examples data(jv
Page 143 and 144: ktab.within 143 Examples data(meau)
Page 145 and 146: lingoes 145 Examples data(lascaux)
Page 147 and 148: macaca 147 References Bauwens, D.,
Page 149 and 150: mantel.randtest 149 Source Belair,
Page 151 and 152: maples 151 Arguments m1 m2 nrepet a
Page 153 and 154: mcoa 153 Source Codes for rows and
Page 155 and 156: meau 155 Examples data(friday87) w1
Page 157 and 158: mfa 157 mfa Multiple Factorial Anal
Page 159 and 160: microsatt 159 Format microsatt is a
Page 161 and 162: mld 161 Examples data(mjrochet) mjr
Page 163 and 164: monde84 163 Format Source mollusc i
Page 165 and 166: mstree 165 mstree Minimal Spanning
Page 167 and 168: multispati 167 Value Returns an obj
Page 169 and 170: multispati.randtest 169 w1.msm
Page 171 and 172: neig 171 Author(s) Daniel Chessel S
Page 173 and 174: neig 173 #hist(dist, nclass = 50) m
Page 175 and 176: newick2phylog 175 References Bauwen
Page 177 and 178: 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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