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Home/ Questions/Q 8915799
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Editorial Team
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Editorial Team
Asked: June 15, 20262026-06-15T05:04:01+00:00 2026-06-15T05:04:01+00:00

I’ve produced an ordination plot from a data frame in R. The data frame

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I’ve produced an ordination plot from a data frame in R. The data frame consists of species (columns) by sites (rows). There is a group of “treated” sites and a group of control sites within the matrix. However, the way I computed the ordination requires no other variables in the matrix (i.e. no explicit identifier saying that a site is “treated or not”. The question: can I label the points in the graph by group without constructing a classification variable? or, can I give the treatment rows (e.g. rows 1:7 one type of symbol and the control (e.g. 8:14) another type?

Here’s an example:

#guess i don't have the reputation to post images...hmmm...

#looks something like this (first column is the site)  

#     spec1 spec2 spec3...spec14
#  1    0     1     0  ...    2
#  2    1     5     0  ...    0
#  3    0     2     1  ...    0  
#  .  
#  .  
#  .  
#  14  

# vegan package  
library(vegan)  

# example data matrix is 14x14, species names across columns, sites are numbered automatically upon import of txt file into RStudio  

data(example)  

#vegdist creates a distance matrix of sites  

example.dis <- vegdist(example) 

#monoMDS computes ordination of distance matrix  

example.mds <- monoMDS(example.dis) 

#plot it 

here’s where i think i can modify the graph, but I’m not sure how to do it

plot(example.mds)  
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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-15T05:04:04+00:00Added an answer on June 15, 2026 at 5:04 am

    Yes you can use an external variable to specify for example the color of points.

    Here is an example:

    # some data
    require(vegan)
    data(dune)
    data(dune.env)
    
    # vector holding the colors
    cols <- c("red", "blue", "pink", "green")
    
    # NMDS with bray-curtis distance
    nmds <- metaMDS(dune, "bray", 2)
    
    # empty plot
    plot(nmds, type = "n")
    
    # Add points colored by Environmental Variable Management
    points(nmds, col = cols[dune.env$Management], pch = 16)
    
    # add legend
    legend("topright", legend=levels(dune.env$Management), col=cols, pch = 16)
    

    enter image description here

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