# plantTraits

##### Plant Species Traits Data

This dataset constitutes a description of 136 plant species according to biological attributes (morphological or reproductive)

- Keywords
- datasets

##### Usage

`data(plantTraits)`

##### Details

Most of factor attributes are not disjunctive. For example, a plant can be usually pollinated by insects but sometimes self-pollination can occured.

##### Format

A data frame with 136 observations on the following 31 variables.

`pdias`

Diaspore mass (mg)

`longindex`

Seed bank longevity

`durflow`

Flowering duration

`height`

Plant height, an ordered factor with levels

`1`

<`2`

< … <`8`

.
% Plant height}{an ordered factor with levels \code{1} <10cm < \code{2} 10-30cm< \code{3} 30-60cm< \code{4}60-100cm < \code{5}1-3m < \code{6}3-6m < \code{7}:6-15m < \code{8}>15m}`begflow`

Time of first flowering, an ordered factor with levels

`1`

<`2`

<`3`

<`4`

<`5`

<`6`

<`7`

<`8`

<`9`

% {\code{begflow}}{an ordered factor with levels \code{1} january< \code{2} february< \code{3} march< \code{4}april < \code{5} may< \code{6} june< \code{7} july< \code{8}august < \code{9}september}`mycor`

Mycorrhizas, an ordered factor with levels

`0`

never <`1`

sometimes<`2`

always`vegaer`

aerial vegetative propagation, an ordered factor with levels

`0`

never <`1`

present but limited<`2`

important.`vegsout`

underground vegetative propagation, an ordered factor with 3 levels identical to

`vegaer`

above.`autopoll`

selfing pollination, an ordered factor with levels

`0`

never <`1`

rare <`2`

often< the rule`3`

`insects`

insect pollination, an ordered factor with 5 levels

`0`

< … <`4`

.`wind`

wind pollination, an ordered factor with 5 levels

`0`

< … <`4`

.`lign`

a binary factor with levels

`0:1`

, indicating if plant is woody.`piq`

a binary factor indicating if plant is thorny.

`ros`

a binary factor indicating if plant is rosette.

`semiros`

semi-rosette plant, a binary factor (

`0`

: no;`1`

: yes).`leafy`

leafy plant, a binary factor.

`suman`

summer annual, a binary factor.

`winan`

winter annual, a binary factor.

`monocarp`

monocarpic perennial, a binary factor.

`polycarp`

polycarpic perennial, a binary factor.

`seasaes`

seasonal aestival leaves, a binary factor.

`seashiv`

seasonal hibernal leaves, a binary factor.

`seasver`

seasonal vernal leaves, a binary factor.

`everalw`

leaves always evergreen, a binary factor.

`everparti`

leaves partially evergreen, a binary factor.

`elaio`

fruits with an elaiosome (dispersed by ants), a binary factor.

`endozoo`

endozoochorous fruits, a binary factor.

`epizoo`

epizoochorous fruits, a binary factor.

`aquat`

aquatic dispersal fruits, a binary factor.

`windgl`

wind dispersed fruits, a binary factor.

`unsp`

unspecialized mechanism of seed dispersal, a binary factor.

##### Examples

```
# NOT RUN {
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)
# }
```

*Documentation reproduced from package cluster, version 2.1.0, License: GPL (>= 2)*