plantTraits {cluster} | R Documentation |
This dataset constitutes a description of 136 plant species according to biological attributes (morphological or reproductive)
data(plantTraits)
A data frame with 136 observations on the following 31 variables.
pdias
longindex
durflow
height
1
< 2
< ... < 8
.begflow
1
< 2
< 3
< 4
< 5
< 6
< 7
< 8
< 9
mycor
0
never < 1
sometimes< 2
alwaysvegaer
0
never < 1
present but limited< 2
important.vegsout
vegaer
above.autopoll
0
never < 1
rare < 2
often< the rule3
insects
0
< ... < 4
.wind
0
< ... < 4
.lign
0:1
,
indicating if plant is woody.piq
ros
semiros
0
:
no; 1
: yes).leafy
suman
winan
monocarp
polycarp
seasaes
seashiv
seasver
everalw
everparti
elaio
endozoo
epizoo
aquat
windgl
unsp
Most of factor attributes are not disjunctive. For example, a plant can be usually pollinated by insects but sometimes self-pollination can occured.
Vallet, Jeanne (2005) Structuration de communautés végétales et analyse comparative de traits biologiques le long d'un gradient d'urbanisation. Mémoire de Master 2 'Ecologie-Biodiversité-Evolution'; Université Paris Sud XI, 30p.+ annexes (in french)
data(plantTraits) ## Calculation of a dissimilarity matrix library(cluster) dai.b <- daisy(plantTraits, type = list(ordratio = 4:11, symm = 12:13, asymm = 14:31)) ## Hierarchical classification agn.trts <- agnes(dai.b, method="ward") plot(agn.trts, which.plots = 2, cex= 0.6) plot(agn.trts, which.plots = 1) cutree6 <- cutree(agn.trts, k=6) cutree6 ## Principal Coordinate Analysis cmdsdai.b <- cmdscale(dai.b, k=6) plot(cmdsdai.b[, 1:2], asp = 1, col = cutree6)