The ade4 Package - NexTag Supports Open Source Initiatives

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288 taxo.eg taxo.eg Examples of taxonomy Description This data sets contains two taxonomies. Usage data(taxo.eg) Format taxo.eg is a list containing the 2 following objects: taxo.eg[[1 ]] is a data frame with 15 species and 3 columns. taxo.eg[[2 ]] is a data frame with 40 species and 2 columns. Details Variables of the first data frame are : genre (a factor genre with 8 levels), famille (a factor familiy with 5 levels) and ordre (a factor order with 2 levels). Variables of the second data frame are : gen(a factor genre with 29 levels), fam (a factor family with 19 levels). Examples data(taxo.eg) taxo.eg[[1]] as.taxo(taxo.eg[[1]]) class(taxo.eg[[1]]) class(as.taxo(taxo.eg[[1]])) tax.phy
testdim 289 testdim Function to perform a test of dimensionality Description This functions allow to test for the number of axes in multivariate analysis. The procedure is only implemented for principal component analysis on correlation matrix. The procedure is based on the computation of the RV coefficient. Usage testdim(dudi, ...) ## S3 method for class 'pca': testdim(dudi, nrepet = 99, nbax = dudi$rank, alpha = 0.05, ...) Arguments dudi a duality diagram (an object of class dudi) nrepet the number of repetitions for the permutation procedure nbax the number of axes to be tested, by default all axes alpha the significance level ... other arguments Value An object of the class krandtest. It contains also: nb nb.cor The estimated number of axes to keep The number of axes to keep estimated using a sequential Bonferroni procedure Author(s) Stephane Dray 〈dray@biomserv.univ-lyon1.fr〉 References Dray, S. (2007) On the number of principal components: A test of dimensionality based on measurements of similarity between matrices. Computational Statistics and Data Analysis, in press. See Also dudi.pca, RV.rtest
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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
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doubs 77 doubs Pair of Ecological T
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dpcoa 79 Value option csize the fun
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dudi.acm 81 Value as.dudi and all t
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dudi.coa 83 Examples data(ours) sum
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dudi.fca 85 Arguments df eff scannf
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dudi.hillsmith 87 data(bsetal97) w
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dudi.mix 89 Details If df contains
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dudi.pca 91 dudi.pca Principal Comp
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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
Page 237 and 238: s.distri 237 Value clabel cpoint pc
Page 239 and 240: s.image 239 Examples data(rpjdl) co
Page 241 and 242: s.kde2d 241 s.image(t3012$xy, scale
Page 243 and 244: s.label 243 Arguments Value dfxy xa
Page 245 and 246: s.logo 245 Value xax yax neig cneig
Page 247 and 248: s.multinom 247 Value cgrid a charac
Page 249 and 250: s.traject 249 Value Returns in a hi
Page 251 and 252: s.value 251 Examples rw
Page 253 and 254: santacatalina 253 par(mfrow = c(3,4
Page 255 and 256: scalewt 255 scalewt Centring and Sc
Page 257 and 258: scatter 257 Author(s) See Also Dani
Page 259 and 260: scatter.dudi 259 Arguments x xax ya
Page 261 and 262: scatter.fca 261 scatter.fca Plot of
Page 263 and 264: sco.distri 263 banque.acm
Page 265 and 266: score 265 Arguments score df fac cl
Page 267 and 268: score.coa 267 Arguments x xax which
Page 269 and 270: score.mix 269 par(mfrow = c(1,1)) s
Page 271 and 272: seconde 271 seconde Students and Su
Page 273 and 274: skulls 273 skulls Morphometric Evol
Page 275 and 276: steppe 275 C.T4 TL TC T4 a data fra
Page 277 and 278: suprow 277 Details If supcol.defaul
Page 279 and 280: symbols.phylog 279 symbols.phylog R
Page 281 and 282: table.cont 281 Format Source t3012
Page 283 and 284: table.paint 283 Usage table.dist(d,
Page 285 and 286: table.value 285 labels.col clabel.c
Page 287: tarentaise 287 Format tarentaise is
Page 291 and 292: tithonia 291 s.label(tintoodiel$xy,
Page 293 and 294: toxicity 293 points(ref,xyz[,2], pc
Page 295 and 296: triangle.plot 295 show.position a l
Page 297 and 298: trichometeo 297 Examples data (euro
Page 299 and 300: uniquewt.df 299 Source Data were ob
Page 301 and 302: vegtf 301 Value Returns a list cont
Page 303 and 304: westafrica 303 Details The columns
Page 305 and 306: within 305 afri.ms
Page 307 and 308: withinpca 307 withinpca Normed with
Page 309 and 310: worksurv 309 References Cazes, P.,
Page 311 and 312: zealand 311 Examples data(yanomama)
Page 313 and 314: Index ∗Topic array cailliez, 36 d
Page 315 and 316: INDEX 315 krandtest, 130 randtest,
Page 317 and 318: 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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