R code

Tammy L. Elliott

February 3, 2017

University of Cape Town

Prinicipal coordinates analyses of different Schoenus groups

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Histogram showing distribution of variables

ggplot(char.hist,aes(x = value)) + 
    facet_wrap(~variable,scales = "free_x") + 
    geom_histogram()

## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

## Warning: Removed 2821 rows containing non-finite values (stat_bin).

Plot PCOA for Cape Peninsula species

Plot PCOA for bolusii-type species

## Warning in ordiplot(bolusii.char.pcoa, type = "none", xlab = "Principal
## coordinate 1", : Species scores not available

Plot PCOA for exilis-type species

## Warning in ordiplot(exilis.char.pcoa, type = "none", xlab = "Principal
## coordinate 1", : Species scores not available

Plot PCOA for sylvatica-type species

## Warning in ordiplot(sylvatica.char.pcoa, type = "none", xlab = "Principal
## coordinate 1", : Species scores not available

Plot PCOA for picta-compar group

## Warning in ordiplot(picta.char.pcoa, type = "none", xlab = "Principal
## coordinate 1", : Species scores not available