AFLP.outlier: Creates an AFLP outlier object

In AFLP: Analysis of AFLP data

Description

Creates an AFLP outlier object. The outlier object is used to mark observations as outliers in an AFLP object. These outliers will be omitted when normalising, classifying or calculating the repeatability.

Usage

  AFLP.outlier(Replicate, Specimen, Marker, Residual)

Arguments

Replicate	A data.frame with three columns: PC (primer combination), Replicate and Observed.
Specimen	A data.frame with three columns: PC (primer combination), Specimen and Observed.
Marker	A data.frame with three columns: PC (primer combination), Marker and Observed.
Residual	A data.frame with four columns: PC (primer combination), Replicate, Marker and Observed.

Value

An AFLP outlier object

Author(s)

Thierry Onkelinx [e-mail], Paul Quataert

See Also

AFLP.outlier-class, markers, replicates, residuals, specimens

Examples

AFLP.outlier()
AFLP.outlier(
 Replicate = data.frame(
   PC = "PC1",
   Replicate = c("C.09.1744", "C.09.1745"),
   Observed = numeric(2)
 )
)

AFLP documentation built on May 2, 2019, 6:13 p.m.