nexus (version 0.6.0)

as.data.frame: Coerce to a Data Frame

Description

Coerce to a Data Frame

Usage

# S4 method for CompositionMatrix
as.data.frame(x, ..., group_var = ".group", group_after = 0)
# S4 method for LogRatio
as.data.frame(x, ..., group_var = ".group", group_after = 0)
# S4 method for OutlierIndex
as.data.frame(x, row.names = rownames(x), optional = FALSE, ...)

Value

A data.frame.

Arguments

x

An R object (typically, a CompositionMatrix object).

...

Further parameters to be passed to as.data.frame().

group_var

A character string specifying the name of the column to create for group attribution (only used if x is grouped).

group_after

An integer specifying a subscript, after which the new group_var column is to be appended (only used if x is grouped).

row.names

A character vector giving the row names for the data frame, or NULL.

optional

A logical scalar: should the names of the variables in the data frame be checked? If FALSE then the names of the variables in the data frame are checked to ensure that they are syntactically valid variable names and are not duplicated.

Author

N. Frerebeau

See Also

Other mutators: labels(), totals(), weights()

Examples

## Create a count matrix
A1 <- matrix(data = sample(1:100, 100, TRUE), nrow = 20)

## Coerce to compositions
B <- as_composition(A1)

## Row sums are internally stored before coercing to relative frequencies
totals(B)

## This allows to restore the source data
A2 <- as_amounts(B)

## Coerce to a data.frame
X <- as.data.frame(B)
head(X)