nexus (version 0.3.0)

replace_NA: Missing Values Replacement

Description

Multiplicative replacement of missing values.

Usage

# S4 method for CompositionMatrix
replace_NA(x, value)

Value

An CompositionMatrix object, where all missing values have been replaced.

Arguments

x

A CompositionMatrix object.

value

A numeric vector giving the replacement values.

Author

N. Frerebeau

References

Martín-Fernández, J. A., Barceló-Vidal, C. & Pawlowsky-Glahn, V. (2003). Dealing with Zeros and Missing Values in Compositional Data Sets Using Nonparametric Imputation. Mathematical Geology, 35(3): 253-278. tools:::Rd_expr_doi("10.1023/A:1023866030544").

See Also

Other imputation methods: missing, replace_zero()

Examples

## Data from Martín-Fernández et al. 2003
X <- data.frame(
  X1 = c(0.0000, 0.1304, 0.1963),
  X2 = c(0.1250, 0.3151, NA),
  X3 = c(0.1237, NA, NA),
  X4 = c(0.7253, 0.2002, 0.0819),
  X5 = c(0.0260, 0.3543, 0.0114)
)

## Coerce to a compositional matrix
Y <- as_composition(X)

## Replace zeros
Z <- replace_NA(Y, value = 0.2)
Z