Uwe Ligges
On 08.03.2012 15:02, Sarah Goslee wrote:
See inline: On Thu, Mar 8, 2012 at 7:41 AM, Massimo Di Stefano <massimodisa...@gmail.com> wrote:Hello All, i've a set of observations that is in the form : a, b, c, d, e, f 67.12, 4.28, 1.7825, 30, 3, 16001 67.12, 4.28, 1.7825, 30, 3, 16001 66.57, 4.28, 1.355, 30, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 66.2, 4.28, 1.3459, 13, 3, 16001 63.64, 9.726, 1.3004, 6, 3, 11012 63.28, 9.725, 1.2755, 6, 3, 11012 63.28, 9.725, 1.2755, 6, 3, 11012 63.28, 9.725, 1.2755, 6, 3, 11012 63.28, 9.725, 1.2755, 6, 3, 11012 63.28, 9.725, 1.2755, 6, 3, 11012 … …. 55.000 observation in total. where : a, b, c, d, e are environmental parameters and f is a label. as you can see some rows are duplicated, this means that the observation occurred more timesIf you use dput() for the first 10 or 20 rows of your data, then you will have provided the requested reproducible example.(in my use cases the observation is the presence of a specific biological specie in a photo, if in the photo there are more than one individual of the same species i have a duplicated row ) i'm trying to learn how to use R in order to build a dendrogram that will help me to 'group' several species in communities, based on the similarity of the env. parameters. i tried with d<- diet(as.matrix(my data)) hc<- hclust(d) but it doesn't works.I'm assuming you mean dist() instead of diet() ? I don't know of any function named diet(). What "doesn't work"? We can't answer your question unless we know what it is.is the 'redundancy' of my data (multiple rows with same information) a problem? should i remove all the rows that are exactly the same ?Yes. Identical rows have a distance of 0, so they're clustered together immediately, so a dendrogram that includes them is identical to one that has only unique rows.in this way how to take care about the fact that for the same environmental parameters i've multiple observation ? maybe this information is not relevant in order to build the dendrogram ? Please, can you suggest me a valid approach in order to cluster a such dataset ? forgive me, i've an evident lack of statistic knowledge, thank you very mach for you help!Perhaps some reading in one of the many excellent ecologically-based multivariate statistics books is called for? Sarah
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