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qtl (version 1.38-4)

readMWril: Read data for 4- or 8-way RIL

Description

Data for a set of 4- or 8-way recombinant inbred lines (RIL) is read from a pair of comma-delimited files and converted into an object of class cross. We require chromosome assignments for the genetic markers, and assume that markers are in their correct order.

Usage

readMWril(dir="", rilfile, founderfile,
          type=c("ri4self", "ri4sib", "ri8self", "ri8selfIRIP1", "ri8sib", "bgmagic16"),
          na.strings=c("-","NA"), rotate=FALSE, ...)

Arguments

dir
Directory in which the data files will be found. In Windows, use forward slashes ("/") or double backslashes ("\\") to specify directory trees.
rilfile
Comma-delimited file for the RIL, in the "csv" format described in the help file for read.cross.
founderfile
File with founder strains' genotypes, in the same orientation as the rilfile, but with just marker names and the founders' marker genotypes.
type
The type of RIL.
na.strings
A vector of strings which are to be interpreted as missing values. For the csv formats, these are interpreted globally for the entire file, so missing value codes in phenotypes must not be valid genotypes, and vice versa.
rotate
If TRUE, the rilfile and founderfile are rotated (really transposed), with rows corresponding to markers and columns corresponding to individuals.
...
Additional arguments, passed to the function read.table in the case of csv and csvr formats. In particular, one may use the argument sep to s

Value

  • An object of class cross; see the help file for read.cross for details.

    An additional component crosses is included; this is a matrix indicating the crosses used to generate the RIL.

Details

The rilfile should include a phenotype cross containing character strings of the form ABCDEFGH, indicating the cross used to generate each RIL.

The founder strains in the founderfile should be the strains A, B, C, ..., as indicated in the cross phenotype.

See Also

read.cross, sim.cross

Examples

Run this code
ril <- read.cross("../Data", "ril_data.csv", "founder_geno.csv", "ri4self",
                  rotate=TRUE)

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