[adegenet-forum] Responder: RV: From genotypes to pollution data

Thu Mar 5 13:19:12 CET 2020

Dear Gema,

I recommend you the use of other packages to run principal components or discriminant analyses.

If you are interested in some features of DAPC, a linear discriminant analysis probably is more suitable to you.

Saludos

---- Gema Fernández-Avilés Calderón escribió ----

Dear authors,

I was wandering If you had revived this email.
Thanks in advance,
Gema

Dear friends,
I was wandering If you had revived this email.
Thanks in advance,
Gema

[Logotipo UCLM]<http://www.uclm.es/>
Gema Fernández-Avilés Calderón
Profesora Titular de Universidad

Universidad de Castilla-La Mancha
FACULTAD CC. JURÍDICAS Y SOCIALES TO | Cobertizo San Pedro Mártir, SN | 45071 Toledo
Tfno: 925 268 800<tel:+34:925268800> | Ext: 5134<tel:+34:5134> | Gema.FAviles at uclm.es<mailto:Gema.FAviles at uclm.es>
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De: Gema Fernández-Avilés Calderón
Enviado el: martes, 25 de febrero de 2020 23:16
Para: adegenet-forum at lists.r-forge.r-project.org; jombart at biomserv.univ-lyon1.fr
Asunto: From genotypes to pollution data

Dear all,

I would like to carry out sPCA with pollution data. I mean, I have 10 Monitoring station with x,y coordinates that measure 6 pollutans every day for one year. A matrix (365x6) for 10 monitoring stations.

Can I extrapolate your idea to pollution data?
I don’t know how to run data. I don’t know how to create the object in R.

Do you have some idea? I can sent a dataset similar (I’m constructing actually this dataset)

Best and thanks,
Gema

[Logotipo UCLM]<http://www.uclm.es/>
Gema Fernández-Avilés Calderón
Profesora Titular de Universidad

Universidad de Castilla-La Mancha
FACULTAD CC. JURÍDICAS Y SOCIALES TO | Cobertizo San Pedro Mártir, SN | 45071 Toledo
Tfno: 925 268 800<tel:+34:925268800> | Ext: 5134<tel:+34:5134> | Gema.FAviles at uclm.es<mailto:Gema.FAviles at uclm.es>
http://www.uclm.es/profesorado/gemafaviles/ | Mensaje Instantáneo<sip:Gema.FAviles at uclm.es>
   [ORCID] <http://orcid.org/0000-0001-5934-1916>    [Google Scholar] <https://scholar.google.es/citations?user=hpRf4eMAAAAJ&hl=es>
[In]<https://www.linkedin.com/company/uclm>  [Twitter] <https://twitter.com/#!/uclm_es>   [Facebook] <https://www.facebook.com/uclm.es>   [YouTube] <https://www.youtube.com/user/UCLMvideos>

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