The ade4 Package - NexTag Supports Open Source Initiatives

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280 t3012 syndicats Two Questions asked on a Sample of 1000 Respondents Description This data set is extracted from an opinion poll (period 1970-1980) on 1000 respondents. Usage data(syndicats) Format The syndicats data frame has 5 rows and 4 columns. "Which politic family are you agreeing about ?" has 5 response items : extgauche (extreme left) left center right and extdroite (extreme right) "What do you think of the trade importance ?" has 4 response items : trop (too important) adequate insufficient nesaispas (no opinion) Source unknown Examples data(syndicats) par(mfrow = c(1,2)) dudi1
table.cont 281 Format Source t3012 is a list of 3 objects: xy is a data frame with 30 rows (cities) and 2 coordinates (x,y). temp is a data frame with 30 rows (cities) and 12 columns (months). Each column contains the average temperature in tenth of degree Celsius. contour is a data frame with 4 columns (x1,y1,x2,y2) for the contour display of France. Besse, P. (1979) Etude descriptive d’un processus; approximation, interpolation. Thèse de troisième cycle, Université Paul Sabatier, Toulouse. Examples data(t3012) data(elec88) area.plot(elec88$area) s.arrow(t3012$xy, ori = as.numeric(t3012$xy["Paris",]), add.p = TRUE) table.cont Plot of Contingency Tables Description presents a graph for viewing contingency tables. Usage table.cont(df, x = 1:ncol(df), y = 1:nrow(df), row.labels = row.names(df), col.labels = names(df), clabel.row = 1, clabel.col = 1, abmean.x = FALSE, abline.x = FALSE, abmean.y = FALSE, abline.y = FALSE, csize = 1, clegend = 0, grid = TRUE) Arguments df x y row.labels col.labels clabel.row clabel.col a data frame with only positive or null values a vector of values to position the columns a vector of values to position the rows a character vector for the row labels a character vetor for the column labels a character size for the row labels a character size for the column 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
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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(
Page 229 and 230: test.discrimin 229 References Romes
Page 231 and 232: s.chull 231 addaxes cgrid sub csub
Page 233 and 234: s.class 233 Examples xy 0) coul 0
Page 235 and 236: 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$xy, scale
Page 243 and 244: s.label 243 Arguments Value dfxy xa
Page 245 and 246: s.logo 245 Value xax yax neig cneig
Page 247 and 248: s.multinom 247 Value cgrid a charac
Page 249 and 250: s.traject 249 Value Returns in a hi
Page 251 and 252: s.value 251 Examples rw
Page 253 and 254: santacatalina 253 par(mfrow = c(3,4
Page 255 and 256: scalewt 255 scalewt Centring and Sc
Page 257 and 258: scatter 257 Author(s) See Also Dani
Page 259 and 260: scatter.dudi 259 Arguments x xax ya
Page 261 and 262: scatter.fca 261 scatter.fca Plot of
Page 263 and 264: sco.distri 263 banque.acm
Page 265 and 266: score 265 Arguments score df fac cl
Page 267 and 268: score.coa 267 Arguments x xax which
Page 269 and 270: score.mix 269 par(mfrow = c(1,1)) s
Page 271 and 272: seconde 271 seconde Students and Su
Page 273 and 274: skulls 273 skulls Morphometric Evol
Page 275 and 276: steppe 275 C.T4 TL TC T4 a data fra
Page 277 and 278: suprow 277 Details If supcol.defaul
Page 279: symbols.phylog 279 symbols.phylog R
Page 283 and 284: table.paint 283 Usage table.dist(d,
Page 285 and 286: table.value 285 labels.col clabel.c
Page 287 and 288: tarentaise 287 Format tarentaise is
Page 289 and 290: testdim 289 testdim Function to per
Page 291 and 292: tithonia 291 s.label(tintoodiel$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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