ClustMMDD (version 1.0.3)

dataR2C: Transform a (normal) data frame to be compatible with ClustMMDD main functions

Description

dataR2C(x, ploidy) returns a list.

Usage

dataR2C(x, ploidy = 1)

Arguments

x

A data frame or a matrix with the number of columns equal to $number(variables)*ploidy$.

ploidy

The number of unordered observations represented by a string in xdata. For example, for genotypic data from diploid individual, $ploidy = 2$ : two columns for one variable.

Value

• A list of elements needed for ClustMMDD main functions :
  • data :
  {A matrix compatible with ClustMMDD main functions.}
• ploidy :
  The number of columns for each variable. It is the ploidy for genotypic data
• N :
  The number of lines in x.
• P :
  The number of categorical variables describing the dataset : $P = ncol(x)/ploidy$.
• N_LEVELS :
  The vector of the numbers of levels for the variables.
• LEVELS :
  The levels for the variables.
• COUNT :
  The observed counts of the levels.
• FREQ :
  The observed frequencies.

See Also

cutEachCol in ClustMMDD package.

Examples

data(genotype1)
head(genotype1)
genotype2 = cutEachCol(genotype1[, -11], 2)
head(genotype2)
genotype3 = dataR2C(genotype2, ploidy = 2)
head (genotype3$data)
str(genotype3)