Function reference • metacal

Bias estimation and calibration
`estimate_bias()`	Estimate bias from control measurements
`calibrate()`	Calibrate a relative-abundance matrix by a bias vector
`cooccurrence_matrix()` `cooccurrence_network()` `cooccurrence_components()`	Taxon co-occurrence network
Compositional-data computations
`perturb()`	Compositionally perturb a relative-abundance matrix
`pairwise_ratios()`	Pairwise ratios of vector elements and matrix rows or columns
`compute_ratios()`	Compute taxon ratios from a tidy data frame
`center()`	Compute the center (compositional mean) of a set of compositions
`bootrep_center()`	Generate bootstrap replicates of the sample center
`center_elts()`	Geometrically center the elements of x
`close_elts()`	Close the elements of x to proportions
`clr()`	Compute the centered log-ratio transform of x
`logit()`	Logit (log-odds) of the probability vector x
`odds()`	Odds of the probability vector x
`anorm()`	Aitchison norm of x
`xydist()`	Distance or dissimilarity between relative abundance vectors x and y
`gm()`	Geometric (multiplicative) version of the function f
`gm_abs()`	Geometric absolute value of x
`gm_mean()`	Geometric mean of x
`gm_range()`	Geometric range of x
`gm_sd()`	Geometric standard deviation of x
Data-frame manipulation and coercion
`as_matrix()`	Coerce a (wide) data frame to a matrix
`build_matrix()`	Create a matrix from columns of a tidy data frame
`mutate_by()`	Mutate within groups

Reference