pheno2geno (version 1.4.0)

transformation: Basic functions to do transformation / normalization of phenotypes.

Description

Basic functions to do transformation / normalization of phenotypes.

Usage

transformation(x, transformations=c("nothing","log","sqrt","reciprocal","probit",
    "logit"), ..., verbose=TRUE)

Arguments

x

data matrix with measurements, Rows: Traits/Phenotypes columns: Individuals.

transformations

which function should be used to transform the data:

• nothing - no data transformation performed.

• log - log(data)

• sqrt - sqrt(data)

• reciprocal - 1/(data)

• probit - probit transformation

• logit - logit transformation

...

Passed to the underlying test function.

verbose

Be verbose.

Value

List with matrices.

See Also

• cross.saturate - Saturate existing map.

• cross.denovo - Create de novo genetic map or chromosome assignment vector.

Examples

# NOT RUN {
	data <- matrix(runif(1000),10,100)
  resA <- transformation(data, c("log","logit"))
  resB <- transformation(data, c("reciprocal","probit"))
# }