Handling Datasets

Functions for manipulating Dataset objects.

clean()

Remove samples and taxons from a Dataset

collapse_by_taxonomy()

Collapse by taxonomy

create_dataset()

Create Dataset object

find_good_samples()

Find good samples

measurable_taxa()

Identify measurable taxa

normalize()

Normalize

remove_samples()

Remove samples from a Dataset object.

remove_taxons()

Remove taxa from a Dataset object.

samples()

Get sample names

pool_samples()

Pool samples

rarefaction()

Rarefaction

taxa()

Get taxa names

variables()

Get metadata variables

Visualization

Plotting functions.

heatgg()

Heatmap with ggplot2

phylogram()

Phylogram

plotgg(<PCA>)

Plot a PCA

plotgg(<PCO>)

Plotting a PCoA

plotgg()

Make ggplot2 plot

plotgg(<site.diversity>)

Plot diversity across sites.

plotgg_rankabun()

Make rank abundance plot

plotgg_rankabun2()

Make rank abundance plot with Poisson confidence intervals.

plotgg_taxon()

Plot single taxon.

plotgg_var()

Plot single variable.

theme_blackbox()

Blackbox theme

Analysis

Functions for statistical analysis.

beta_diversity()

Beta diversity

bootstrap_glm()

Bootstrap estimation of Generalized Linear Models on a matrix of observations

compare_site_diversity()

Compare diversity accross sites and groups of samples.

matrix_glm()

Fit Generalized Linear Models on a matrix of observations

matrix_glmNB()

Fit Negative Binomial Generalized Linear Models on a matrix of observations

PCA()

Principal Component Analysis

PCO()

Principal Coordinates Analysis

site_diversity()

Diversity across sites.

subset(<Dataset>)

Subset samples from a Dataset object.

summary(<bootglm>)

Summarize bootstrap_glm model fits

summary(<matrix.glm>)

Summarize matrix GLM results

I/O

Functions for reading and writing data.

read.am()

Read abundance matrix

write.qiime()

Write a QIIME abundance table file

Miscellaneous

Miscellaneous functions.

AMOR-package

Abundance Matrix Operations in R

collapse_matrix()

Collapse matrix

get_tax_level()

Get tax level

print(<summary.bootglm>)

Print summary.bootglm object

total_richness()

Calculate richness of an abundance table.

Data

Data objects