All functions

alpha_div_boxplot()

Alpha diversity boxplot

alpha_div_test()

Get alpha diversity

counts_to_logcpm()

Covert a counts table to a relative abundances table

counts_to_relabu()

Covert a counts table to a relative abundances table

df_char_to_factor()

Factorize all categorical columns

differential_abundance()

Differential abundance analysis

dimred_pca()

Dimensionality reduction through PCA

dimred_pcoa()

Dimensionality reduction through PCoA

dimred_umap()

Dimensionality reduction through PCA

dimred_tsne()

Dimensionality reduction through t-SNE

diversities()

Get alpha diversity

diversities_help()

Get alpha diversity

diversity_beta_boxplot()

Beta diversity boxplot

diversity_beta_heatmap()

Beta diversity heatmap

diversity_beta_NMDS()

Beta diversity NMDS plot

diversity_beta_test()

Perform a beta diversity test

do_alpha_div_test()

Alpha diversity statistical test

filter_categorize()

Categorize continuous variables

filter_summary_bar_density()

Data visualization by bar plot / density plot

filter_summary_pie_box()

Data visualization by pie chart / box plot

find_biomarker()

Identify biomarkers

find_taxon_mat()

Find the Taxonomy Information Matrix

find_taxonomy()

Find the taxonomy for unlimited tids

find_taxonomy_300()

Find the taxonomy for maximum 300 tids

gini_simpson()

Get alpha diversity using gini

grep_tid()

Greps the tid from the given identifier string

inverse_simpson()

Get alpha diversity using inverse simpson

is_categorical()

Check if object is categorical

is_integer0()

check if integer(0)

is_integer1()

check if integer(1)

mae_pick_organisms()

Modify organisms of multi-assay experiment object

mae_pick_samples()

Modify samples of multi-assay experiment object

pct2str()

Converts decimal percentage to string with specified digits

percent()

Format decimals to percentages

read_pathoscope_data()

Reads the data from PathoScope reports and returns a list of final guess relative abundance and count data

relabu_barplot()

Plot bar plots of sample and group level relative abundance

relabu_boxplot()

Plot boxplots comparing different organism prevalence across conditions

relabu_heatmap()

Plot heatmap of sample level counts in logcpm

run_animalcules()

Run animalcules shiny app

shannon()

Get alpha diversity using shannon

simpson_index()

Get alpha diversity using simpson

upsample_counts()

Upsample a counts table to a higher taxon level

write_to_biom()

Output biom