AMOR-package | Abundance Matrix Operations in R |
beta_diversity | Beta diversity |
bootstrap_glm | Bootstrap estimation of Generalized Linear Models on a matrix... |
clean | Remove samples and taxons from a Dataset |
collapse_by_taxonomy | Collapse by taxonomy |
collapse_matrix | Collapse matrix |
compare_site_diversity | Compare diversity accross sites and groups of samples. |
create_dataset | Create Dataset object |
find_good_samples | Find good samples |
get_tax_level | Get tax level |
heatgg | Heatmap with ggplot2 |
matrix_glm | Fit Generalized Linear Models on a matrix of observations |
matrix_glmNB | Fit Negative Binomial Generalized Linear Models on a matrix... |
measurable_taxa | Identify measurable taxa |
normalize | Normalize |
PCA | Principal Component Analysis |
PCO | Principal Coordinates Analysis |
phylogram | Phylogram |
plotgg | Make ggplot2 plot |
plotgg.PCA | Plot a PCA |
plotgg.PCO | Plotting a PCoA |
plotgg_rankabun | Make rank abundance plot |
plotgg_rankabun2 | Make rank abundance plot with Poisson confidence intervals. |
plotgg.site.diversity | Plot diversity across sites. |
plotgg_taxon | Plot single taxon. |
plotgg_var | Plot single variable. |
pool_samples | Pool samples |
print.summary.bootglm | Print summary.bootglm object |
rarefaction | Rarefaction |
read.am | Read abundance matrix |
remove_samples | Remove samples from a Dataset object. |
remove_taxons | Remove taxa from a Dataset object. |
samples | Get sample names |
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 |
taxa | Get taxa names |
theme_blackbox | Blackbox theme |
total_richness | Calculate richness of an abundance table. |
variables | Get metadata variables |
write.qiime | Write a QIIME abundance table file |
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