ComputeCI: Compute Basic Confidence Intervals
In jcdterry/cassandRa: Finds Missing Links and Metric Confidence Intervals in Ecological Bipartite Networks
Description
Usage
Arguments
Value
Examples
Description
Compute Basic Confidence Intervals
Usage
1
Arguments
df
A data frame produced by RarefyNetwork()
Value
a dataframe detailing confidence intervals at each tested sample size
Examples
1
2
3
data(Safariland, package = 'bipartite')
X<-RarefyNetwork(Safariland, n_per_level = 100)
PlotRarefaction(X)
jcdterry/cassandRa documentation built on July 3, 2019, 4:49 p.m.
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Description Usage Arguments Value Examples
Description
Compute Basic Confidence Intervals
Usage
1 |
Arguments
df |
A data frame produced by |
Value
a dataframe detailing confidence intervals at each tested sample size
Examples
1 2 3 | data(Safariland, package = 'bipartite')
X<-RarefyNetwork(Safariland, n_per_level = 100)
PlotRarefaction(X)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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