DiversityCurve
defines diversity (D) scores over multiple diversity
orders (Q).
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x |
DiversityCurve object |
y |
ignored. |
... |
arguments to pass to plotDiversityCurve. |
data
data.frame defining the diversity curve with the following columns:
GROUP
: group label.
Q
: diversity order.
D
: mean diversity index over all bootstrap
realizations.
D_SD
: standard deviation of the diversity index
over all bootstrap realizations.
D_LOWER
: diversity lower confidence inverval bound.
D_UPPER
: diversity upper confidence interval bound.
E
: evenness index calculated as D
divided by D
at Q=0
.
E_LOWER
: evenness lower confidence inverval bound.
E_UPPER
: eveness upper confidence interval bound.
groups
character vector of groups retained in the diversity calculation.
n
numeric vector indication the number of sequences sampled from each group.
nboot
number of bootstrap realizations performed.
ci
confidence interval defining the upper and lower bounds (a value between 0 and 1).
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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