The ade4 Package - NexTag Supports Open Source Initiatives

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108 genet Description There are multiple formats of genetic data. The functions of ade4 associated genetic data use the class genet. An object of the class genet is a list containing at least one data frame whose lines are groups of individuals (populations) and columns alleles forming blocks associated with the locus. They contain allelic frequencies expressed as a percentage. The function char2genet ensures the reading of tables crossing diploid individuals arranged by groups (populations) and polymorphic loci. Data frames containing only strings of characters are transformed in tables of allelic frequencies of the class genet. In entry a row is an individual, a variable is a locus and a value is a string of characters, for example ’ 012028 ’ for a heterozygote carrying alleles 012 and 028, ’ 020020 ’ for a homozygote carrying two alleles 020 and ’ 000000 ’ for a not classified locus (missing data). The function count2genet reads data frames containing allelic countings by populations and allelic forms classified by locus. The function freq2genet reads data frames containing allelic frequencies by populations and allelic forms classified by locus. In these two cases, use as names of variables of strings of characters xx.yyy where xx are the names of locus and yyy a name of allelic forms in this locus. The analyses on this kind of data having to use compact labels, these functions classify the names of the populations, the names of the loci and the names of the allelic forms in vectors and re-code in a simple way starting with P for population, L for locus and 1,. . . , m for the alleles. Usage char2genet(X, pop, complete) count2genet(PopAllCount) freq2genet(PopAllFreq) Arguments X pop complete PopAllCount PopAllFreq a data frame of strings of characters (individuals in row, locus in variables), the value coded ’000000’ or two alleles of 6 characters a factor with the same number of rows than df classifying the individuals by population a logical value indicating a complete issue or not, by default FALSE a data frame containing integers: the occurrences of each allelic form (column) in each population (row) a data frame containing values between 0 and 1: the frequencies of each allelic form (column) in each population (row) Details As a lot of formats for genetic data are published in literature, a list of class genet contains at least a table of allellic frequencies and an attribut loc.blocks. The populations (row) and the variables (column) are classified by alphabetic order. In the component comp, each individual per locus of m alleles is re-coded by a vector of length m: for hererozygicy 0,. . . ,1,. . . ,1,. . . ,0 and homozygocy 0,. . . ,2,0.
genet 109 Value char2genet returns a list of class genet with : $tab $center a frequencies table of poplations (row) and alleles (column) the global frequency of each allelic form calculated on the overall individuals classified on each locus $pop.names a vector containing the names of populations present in the data re-coded P01, P02, . . . $all.names $loc.blocks $loc.fac $loc.names $pop.loc $comp $comp.pop a vector containing the names of the alleles present in the data re-coded L01.1, L01.2, . . . a vector containing the number of alleles by loci a factor sharing the alleles by loci a vector containing the names of loci present in the data re-coded L01, . . . , L99 a data frame containing the number of genus allowing the calculation of frequencies the complete individual typing with the code 02000 or 01001 if the option complete is TRUE a factor indicating the population if the option complete is TRUE count2genet and freq2genet return a list of class genet which don’t contain the components pop.loc and complete. Author(s) Daniel Chessel Examples data(casitas) casitas[24,] casitas.pop
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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
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
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: genet 107 Value Returns an object o
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 and 128: kdisteuclid 127 Value returns a lis
Page 129 and 130: kplot 129 kplot Generic Function fo
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
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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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