# R Dataset / Package cluster / plantTraits

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On this R-data statistics page, you will find information about the plantTraits data set which pertains to Plant Species Traits Data. The plantTraits data set is found in the cluster R package. You can load the plantTraits data set in R by issuing the following command at the console data("plantTraits"). This will load the data into a variable called plantTraits. If R says the plantTraits data set is not found, you can try installing the package by issuing this command install.packages("cluster") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the plantTraits R data set. The size of this file is about 17,957 bytes. ## Plant Species Traits Data## DescriptionThis dataset constitutes a description of 136 plant species according to biological attributes (morphological or reproductive) ## Usagedata(plantTraits) ## FormatA 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` .
`begflow` -
Time of first flowering, an ordered factor with levels `1` <`2` <`3` <`4` <`5` <`6` <`7` <`8` <`9`
`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.
## DetailsMost of factor attributes are not disjunctive. For example, a plant can be usually pollinated by insects but sometimes self-pollination can occured. ## SourceVallet, Jeanne (2005) ## Examplesdata(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) -- Dataset imported from https://www.r-project.org. |

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Attachment | Size |
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dataset-37535.csv | 17.54 KB |