biplot with most important species
Do you know how to fix this error? It hapens when I try to get the raster and convert do ASC (because it is a maxent demand)
bio1 <- "D:/biorecortadobrasil/biobio1.tif" bio1 stackbios <- stack(bio1) #stackeando os arquivos rasterstackbios <- raster(stackbios) agregrasterstackbios <- aggregate(rasterstackbios, fact=2) ## By default
aggregates using mean, but see fun=
writeRaster(agregrasterstackbios, "D:/biorecortadobrasil/asc/outfile.asc",
format="ascii", overwrite=TRUE) Warning message:In .local(x, filename, ...) : all cell values are NA 2016-10-12 4:44 GMT-06:00 Bjorn <bjorn.tytgat at ugent.be>:
Hi all, there might be a simple solution to do this, but I don't seem to manage to find it. I have done a PCA using vegan. I now want to create a biplot with only those species that explain a certain (cumulative) amount of the variation along the first 2 PC axes (in order to keep things clear). How could this be done? Thanks in advance! Kind regards, Bjorn
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