htree.plot: htree.plot
In microbiome/microbiomeold: Tools for microbiome analysis
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Plot hierarchical clustering for the input data in absolute
and log10 scale using euclidean and pearson correlation similarities.
Intended for internal use in the run.profiling.script function.
Usage
1
htree.plot(dat, method = "complete", metric = "pearson")
Arguments
dat
oligoprofile data in original (non-log) domain
method
hierarchical clustering method
metric
clustering similarity measure
Value
Used for its side effects; returns the arguments
Author(s)
Contact: Leo Lahti microbiome-admin@googlegroups.com
References
See citation('microbiome')
Examples
1
2
data(peerj32)
tmp <- htree.plot(peerj32$microbes[,1:5])
microbiome/microbiomeold documentation built on May 22, 2019, 9:57 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Plot hierarchical clustering for the input data in absolute and log10 scale using euclidean and pearson correlation similarities. Intended for internal use in the run.profiling.script function.
Usage
1 | htree.plot(dat, method = "complete", metric = "pearson")
|
Arguments
dat |
oligoprofile data in original (non-log) domain |
method |
hierarchical clustering method |
metric |
clustering similarity measure |
Value
Used for its side effects; returns the arguments
Author(s)
Contact: Leo Lahti microbiome-admin@googlegroups.com
References
See citation('microbiome')
Examples
1 2 | data(peerj32)
tmp <- htree.plot(peerj32$microbes[,1:5])
|
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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