| emp {qgen} | R Documentation |
Takes empirical data from a dataframe, defines
new columns, and puts the data in an object of the paraDATA-class.
emp(data.use=NULL,
fixedblock.use, character.use,
environment.use="environment",
randomblock.use,
sire.use="sire",
dam.use="dam",
individual.use="individual",
without="", partitioning="REML",
file=TRUE, path="~/qgen/")
data.use |
the name of a dataframe |
fixedblock.use |
the name of the column in data.use
containing the levels of a fixed blocking factor (as factor) |
character.use |
a vector of characters strings indicating the column names to be chosen for analysis (numeric values only) |
environment.use |
the name of the column in data.use
containing the levels of the environments (as factor) |
randomblock.use |
the name of the column in data.use
indicating the levels of a random blocking factor (as factor) |
sire.use |
the name of the column in data.use containing the
levels of the sire effect (as factor) |
dam.use |
the name of the column in data.use containing the
levels of the dam effect (as factor) |
individual.use |
the name of the column in data.use containing the
levels of the individual effect (as factor) |
without |
a vector of characters indicating the names of the rows to be excluded (for outliers) |
partitioning |
a character string indicating the variance
partitioning method (used by the function est); see
the for details |
file |
logical flag: Should the object be written to emp.rda |
path |
indicating the path where the file emp.rda should be written |
an object of class paraDATA with
orig |
|
name: empirical investigations
emp(file=FALSE) #creates a paraDATA object with the data from "sinapis"